diff --git a/.github/conda-lock/conda-linux-64-py3.11.lock b/.github/conda-lock/conda-linux-64-py3.11.lock
index bf167e02d..91b0bdcb1 100644
--- a/.github/conda-lock/conda-linux-64-py3.11.lock
+++ b/.github/conda-lock/conda-linux-64-py3.11.lock
@@ -1,6 +1,6 @@
 # Generated by conda-lock.
 # platform: linux-64
-# input_hash: e84e2227d074a292022c354a6d62f8f4673b4eab62d028b2951fff283b823c9f
+# input_hash: b26fc92697a5c88810a744a592397dee363a3610d1f0423cefddfb31571eb536
 @EXPLICIT
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@@ -39,7 +39,7 @@ https://conda.anaconda.org/conda-forge/linux-64/keyutils-1.6.3-hb9d3cd8_0.conda#
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-https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-h2d0b736_3.conda#47e340acb35de30501a76c7c799c41d7
+https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.6-hdb14827_0.conda#fc21868a1a5aacc937e7a18747acb8a5
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-https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.5.6-pyhd8ed1ab_0.conda#bcbb401d6fa84e0cee34d4926b0e9e93
-https://conda.anaconda.org/conda-forge/noarch/notebook-7.5.5-pyhcf101f3_0.conda#471096452091ae8c460928ad5ff143cc
+https://conda.anaconda.org/conda-forge/linux-64/cosmosis-build-standard-library-1.3-py311h26b4920_3.conda#ceba3f2e1728d7f1d097e653d363a712
+https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.5.7-pyhd8ed1ab_0.conda#2ffe77234070324e763a6eddabb5f467
+https://conda.anaconda.org/conda-forge/noarch/notebook-7.5.6-pyhcf101f3_1.conda#1fa699844c163bf17717fed8ca229846
 https://conda.anaconda.org/conda-forge/noarch/jupyter-1.1.1-pyhd8ed1ab_1.conda#9453512288d20847de4356327d0e1282
 https://conda.anaconda.org/conda-forge/noarch/sphinx-autoapi-3.8.0-pyhd8ed1ab_0.conda#0fa79d4828025ca82f495c13fca24f2a
 https://conda.anaconda.org/conda-forge/noarch/sphinx-autodoc-typehints-3.5.2-pyhd8ed1ab_0.conda#abe9fc17e8bf83725cde006800c926de
@@ -452,6 +485,7 @@ https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-qthelp-2.0.0-pyhd8ed
 https://conda.anaconda.org/conda-forge/noarch/sphinx-8.2.3-pyhd8ed1ab_0.conda#f7af826063ed569bb13f7207d6f949b0
 https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-serializinghtml-1.1.10-pyhd8ed1ab_1.conda#3bc61f7161d28137797e038263c04c54
 # pip mpmath @ https://files.pythonhosted.org/packages/43/e3/7d92a15f894aa0c9c4b49b8ee9ac9850d6e63b03c9c32c0367a13ae62209/mpmath-1.3.0-py3-none-any.whl#sha256=a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c
+# pip ty @ https://files.pythonhosted.org/packages/d1/50/86008b1392ec64bed1957bbcc7aaa43b466b50dfc91bb131841c21d7c5c3/ty-0.0.34-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=99eb23df9ed129fc26d1ab00d6f0b8dfe5253b09c2ac6abdb11523fa70d67f10
 # pip isitgr @ https://files.pythonhosted.org/packages/82/cd/aa7a9ef44cb7d100538b99ded5234eb675f3a9996ad5b0f3826e105cd2e1/isitgr-1.6.5.tar.gz#sha256=87890cd59c7befa5d244dee6598ef6ceccd099210dd86547951cf87b682fe366
 # pip py-bobyqa @ https://files.pythonhosted.org/packages/f4/1e/0d44a4e3a291c009a357fbd1d61511d9306c2c4db9a7ceb6e8104d8d385f/Py_BOBYQA-1.5.0-py3-none-any.whl#sha256=457afc04d6f2c9f1814934854dc4e542c5e5982a0f80add4b211fcdb0b5811e3
 # pip pygobject-stubs @ https://files.pythonhosted.org/packages/2d/1c/317ccaaa6a3ddce270652781cf09d3b1d5d343b1a1dabca304fe5c218474/pygobject_stubs-2.16.0.tar.gz#sha256=a97574616e92ef458605f9520d8d9db4c2a131affcd12fdd51db0b42395291e9
diff --git a/.github/conda-lock/conda-linux-64-py3.12.lock b/.github/conda-lock/conda-linux-64-py3.12.lock
index ea62f8897..dd4845ca7 100644
--- a/.github/conda-lock/conda-linux-64-py3.12.lock
+++ b/.github/conda-lock/conda-linux-64-py3.12.lock
@@ -1,6 +1,6 @@
 # Generated by conda-lock.
 # platform: linux-64
-# input_hash: f33f9693f26e5280fa73303b0be529c307910d0c4f3b44775f4004b878b11b0a
+# input_hash: 19e482b8491c131cc8f35c57d8bd37817cbcc212b9782d7c3c637f95ff849bbd
 @EXPLICIT
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@@ -39,7 +39,7 @@ https://conda.anaconda.org/conda-forge/linux-64/keyutils-1.6.3-hb9d3cd8_0.conda#
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-https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.7.5-hecca717_0.conda#49f570f3bc4c874a06ea69b7225753af
+https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.8.0-hecca717_0.conda#a3b390520c563d78cc58974de95a03e5
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@@ -52,11 +52,12 @@ https://conda.anaconda.org/conda-forge/linux-64/libnsl-2.0.1-hb9d3cd8_1.conda#d8
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+https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.53.1-h0c1763c_0.conda#7dc38adcbf71e6b38748e919e16e0dce
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-https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-h2d0b736_3.conda#47e340acb35de30501a76c7c799c41d7
+https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.6-hdb14827_0.conda#fc21868a1a5aacc937e7a18747acb8a5
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@@ -106,113 +107,97 @@ https://conda.anaconda.org/conda-forge/linux-64/gcc_impl_linux-64-14.3.0-hbdf3cc
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-https://conda.anaconda.org/conda-forge/noarch/notebook-7.5.5-pyhcf101f3_0.conda#471096452091ae8c460928ad5ff143cc
+https://conda.anaconda.org/conda-forge/linux-64/cosmosis-build-standard-library-1.3-py312h3fe2952_3.conda#208926427e5b8732c24e43d7e45515c7
+https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.5.7-pyhd8ed1ab_0.conda#2ffe77234070324e763a6eddabb5f467
+https://conda.anaconda.org/conda-forge/noarch/notebook-7.5.6-pyhcf101f3_1.conda#1fa699844c163bf17717fed8ca229846
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 https://conda.anaconda.org/conda-forge/noarch/sphinx-autodoc-typehints-3.5.2-pyhd8ed1ab_0.conda#abe9fc17e8bf83725cde006800c926de
@@ -454,6 +487,7 @@ https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-qthelp-2.0.0-pyhd8ed
 https://conda.anaconda.org/conda-forge/noarch/sphinx-8.2.3-pyhd8ed1ab_0.conda#f7af826063ed569bb13f7207d6f949b0
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 # pip mpmath @ https://files.pythonhosted.org/packages/43/e3/7d92a15f894aa0c9c4b49b8ee9ac9850d6e63b03c9c32c0367a13ae62209/mpmath-1.3.0-py3-none-any.whl#sha256=a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c
+# pip ty @ https://files.pythonhosted.org/packages/d1/50/86008b1392ec64bed1957bbcc7aaa43b466b50dfc91bb131841c21d7c5c3/ty-0.0.34-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=99eb23df9ed129fc26d1ab00d6f0b8dfe5253b09c2ac6abdb11523fa70d67f10
 # pip isitgr @ https://files.pythonhosted.org/packages/82/cd/aa7a9ef44cb7d100538b99ded5234eb675f3a9996ad5b0f3826e105cd2e1/isitgr-1.6.5.tar.gz#sha256=87890cd59c7befa5d244dee6598ef6ceccd099210dd86547951cf87b682fe366
 # pip py-bobyqa @ https://files.pythonhosted.org/packages/f4/1e/0d44a4e3a291c009a357fbd1d61511d9306c2c4db9a7ceb6e8104d8d385f/Py_BOBYQA-1.5.0-py3-none-any.whl#sha256=457afc04d6f2c9f1814934854dc4e542c5e5982a0f80add4b211fcdb0b5811e3
 # pip pygobject-stubs @ https://files.pythonhosted.org/packages/2d/1c/317ccaaa6a3ddce270652781cf09d3b1d5d343b1a1dabca304fe5c218474/pygobject_stubs-2.16.0.tar.gz#sha256=a97574616e92ef458605f9520d8d9db4c2a131affcd12fdd51db0b42395291e9
diff --git a/.github/conda-lock/conda-linux-64-py3.13.lock b/.github/conda-lock/conda-linux-64-py3.13.lock
index a49224a0d..f03179321 100644
--- a/.github/conda-lock/conda-linux-64-py3.13.lock
+++ b/.github/conda-lock/conda-linux-64-py3.13.lock
@@ -1,6 +1,6 @@
 # Generated by conda-lock.
 # platform: linux-64
-# input_hash: 256e5ec386820a23e6776f36f1af8a6791c4f7984efeee3d6c618320382e9231
+# input_hash: 8070c94ad7741afd7b3d9e5829b1d37b259c72799c7020eb6be8a8bf9b1233f7
 @EXPLICIT
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@@ -52,11 +52,12 @@ https://conda.anaconda.org/conda-forge/linux-64/libnl-3.11.0-hb9d3cd8_0.conda#db
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+https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.53.1-h0c1763c_0.conda#7dc38adcbf71e6b38748e919e16e0dce
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+https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.6-hdb14827_0.conda#fc21868a1a5aacc937e7a18747acb8a5
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@@ -106,114 +107,98 @@ https://conda.anaconda.org/conda-forge/linux-64/gcc_impl_linux-64-14.3.0-hbdf3cc
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+https://conda.anaconda.org/conda-forge/noarch/jupyter_events-0.12.1-pyhcf101f3_0.conda#bf42ee94c750c0b2e7e998b79ac299ea
 https://conda.anaconda.org/conda-forge/noarch/nautilus-sampler-1.0.6-pyhd8ed1ab_0.conda#301f4d0bcd8fc6aa9c21cd3ca2bf68e2
-https://conda.anaconda.org/conda-forge/noarch/nbformat-5.10.4-pyhd8ed1ab_1.conda#bbe1963f1e47f594070ffe87cdf612ea
+https://conda.anaconda.org/conda-forge/noarch/nbclient-0.10.4-pyhd8ed1ab_0.conda#00f5b8dafa842e0c27c1cd7296aa4875
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 https://conda.anaconda.org/conda-forge/noarch/fuzzywuzzy-0.18.0-pyhd8ed1ab_1.conda#f579639872dc3b2b4ae3c0bd3e796ecd
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-https://conda.anaconda.org/conda-forge/linux-64/cosmosis-build-standard-library-1.3-py313ha254b1b_3.conda#58bf8c3b3068a49fac9b778acfed03c1
 https://conda.anaconda.org/conda-forge/noarch/jupyter-lsp-2.3.1-pyhcf101f3_0.conda#0c3b465ceee138b9c39279cc02e5c4a0
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 https://conda.anaconda.org/conda-forge/noarch/notebook-shim-0.2.4-pyhd8ed1ab_1.conda#e7f89ea5f7ea9401642758ff50a2d9c1
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-https://conda.anaconda.org/conda-forge/noarch/notebook-7.5.5-pyhcf101f3_0.conda#471096452091ae8c460928ad5ff143cc
+https://conda.anaconda.org/conda-forge/linux-64/cosmosis-build-standard-library-1.3-py313ha254b1b_3.conda#58bf8c3b3068a49fac9b778acfed03c1
+https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.5.7-pyhd8ed1ab_0.conda#2ffe77234070324e763a6eddabb5f467
+https://conda.anaconda.org/conda-forge/noarch/notebook-7.5.6-pyhcf101f3_1.conda#1fa699844c163bf17717fed8ca229846
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 https://conda.anaconda.org/conda-forge/noarch/sphinx-autoapi-3.8.0-pyhd8ed1ab_0.conda#0fa79d4828025ca82f495c13fca24f2a
 https://conda.anaconda.org/conda-forge/noarch/sphinx-autodoc-typehints-3.5.2-pyhd8ed1ab_0.conda#abe9fc17e8bf83725cde006800c926de
@@ -452,6 +485,7 @@ https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-qthelp-2.0.0-pyhd8ed
 https://conda.anaconda.org/conda-forge/noarch/sphinx-8.2.3-pyhd8ed1ab_0.conda#f7af826063ed569bb13f7207d6f949b0
 https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-serializinghtml-1.1.10-pyhd8ed1ab_1.conda#3bc61f7161d28137797e038263c04c54
 # pip mpmath @ https://files.pythonhosted.org/packages/43/e3/7d92a15f894aa0c9c4b49b8ee9ac9850d6e63b03c9c32c0367a13ae62209/mpmath-1.3.0-py3-none-any.whl#sha256=a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c
+# pip ty @ https://files.pythonhosted.org/packages/d1/50/86008b1392ec64bed1957bbcc7aaa43b466b50dfc91bb131841c21d7c5c3/ty-0.0.34-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=99eb23df9ed129fc26d1ab00d6f0b8dfe5253b09c2ac6abdb11523fa70d67f10
 # pip isitgr @ https://files.pythonhosted.org/packages/82/cd/aa7a9ef44cb7d100538b99ded5234eb675f3a9996ad5b0f3826e105cd2e1/isitgr-1.6.5.tar.gz#sha256=87890cd59c7befa5d244dee6598ef6ceccd099210dd86547951cf87b682fe366
 # pip py-bobyqa @ https://files.pythonhosted.org/packages/f4/1e/0d44a4e3a291c009a357fbd1d61511d9306c2c4db9a7ceb6e8104d8d385f/Py_BOBYQA-1.5.0-py3-none-any.whl#sha256=457afc04d6f2c9f1814934854dc4e542c5e5982a0f80add4b211fcdb0b5811e3
 # pip pygobject-stubs @ https://files.pythonhosted.org/packages/2d/1c/317ccaaa6a3ddce270652781cf09d3b1d5d343b1a1dabca304fe5c218474/pygobject_stubs-2.16.0.tar.gz#sha256=a97574616e92ef458605f9520d8d9db4c2a131affcd12fdd51db0b42395291e9
diff --git a/.github/conda-lock/conda-linux-64-py3.14.lock b/.github/conda-lock/conda-linux-64-py3.14.lock
index 482edf880..b1790283b 100644
--- a/.github/conda-lock/conda-linux-64-py3.14.lock
+++ b/.github/conda-lock/conda-linux-64-py3.14.lock
@@ -1,6 +1,6 @@
 # Generated by conda-lock.
 # platform: linux-64
-# input_hash: 362371aaaee438451dbb09ab1134f1f23c60e9a5231cf91262cb93ff6c7581a9
+# input_hash: c6c27c06fd99d28a610f4f39bfdd6890a1753ddd55158411493a59e5958d5de1
 @EXPLICIT
 https://conda.anaconda.org/conda-forge/linux-64/dart-sass-1.99.0-hfc2019e_0.conda#cfa3f04659d50cea3d291041d4876c07
 https://conda.anaconda.org/conda-forge/linux-64/esbuild-0.28.0-hfc2019e_0.conda#05769c5994f53e5c51e8cbb166117734
@@ -39,7 +39,7 @@ https://conda.anaconda.org/conda-forge/linux-64/keyutils-1.6.3-hb9d3cd8_0.conda#
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-https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.7.5-hecca717_0.conda#49f570f3bc4c874a06ea69b7225753af
+https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.8.0-hecca717_0.conda#a3b390520c563d78cc58974de95a03e5
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@@ -52,11 +52,12 @@ https://conda.anaconda.org/conda-forge/linux-64/libnl-3.11.0-hb9d3cd8_0.conda#db
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+https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.53.1-h0c1763c_0.conda#7dc38adcbf71e6b38748e919e16e0dce
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-https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-h2d0b736_3.conda#47e340acb35de30501a76c7c799c41d7
+https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.6-hdb14827_0.conda#fc21868a1a5aacc937e7a18747acb8a5
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@@ -106,114 +107,98 @@ https://conda.anaconda.org/conda-forge/linux-64/gcc_impl_linux-64-14.3.0-hbdf3cc
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-https://conda.anaconda.org/conda-forge/linux-64/libglib-2.86.4-h6548e54_1.conda#bb26456332b07f68bf3b7622ed71c0da
+https://conda.anaconda.org/conda-forge/linux-64/libglib-2.88.1-h0d30a3d_1.conda#6016ea5ee9e986bc683879408cc87529
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 https://conda.anaconda.org/conda-forge/noarch/jupyter-lsp-2.3.1-pyhcf101f3_0.conda#0c3b465ceee138b9c39279cc02e5c4a0
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 https://conda.anaconda.org/conda-forge/noarch/notebook-shim-0.2.4-pyhd8ed1ab_1.conda#e7f89ea5f7ea9401642758ff50a2d9c1
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-https://conda.anaconda.org/conda-forge/noarch/notebook-7.5.5-pyhcf101f3_0.conda#471096452091ae8c460928ad5ff143cc
+https://conda.anaconda.org/conda-forge/linux-64/cosmosis-build-standard-library-1.3-py314h6b6fcca_3.conda#2c39dbd2e957462411d41c82590ec4ba
+https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.5.7-pyhd8ed1ab_0.conda#2ffe77234070324e763a6eddabb5f467
+https://conda.anaconda.org/conda-forge/noarch/notebook-7.5.6-pyhcf101f3_1.conda#1fa699844c163bf17717fed8ca229846
 https://conda.anaconda.org/conda-forge/noarch/jupyter-1.1.1-pyhd8ed1ab_1.conda#9453512288d20847de4356327d0e1282
 https://conda.anaconda.org/conda-forge/noarch/sphinx-autoapi-3.8.0-pyhd8ed1ab_0.conda#0fa79d4828025ca82f495c13fca24f2a
 https://conda.anaconda.org/conda-forge/noarch/sphinx-autodoc-typehints-3.5.2-pyhd8ed1ab_0.conda#abe9fc17e8bf83725cde006800c926de
@@ -453,6 +486,7 @@ https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-qthelp-2.0.0-pyhd8ed
 https://conda.anaconda.org/conda-forge/noarch/sphinx-8.2.3-pyhd8ed1ab_0.conda#f7af826063ed569bb13f7207d6f949b0
 https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-serializinghtml-1.1.10-pyhd8ed1ab_1.conda#3bc61f7161d28137797e038263c04c54
 # pip mpmath @ https://files.pythonhosted.org/packages/43/e3/7d92a15f894aa0c9c4b49b8ee9ac9850d6e63b03c9c32c0367a13ae62209/mpmath-1.3.0-py3-none-any.whl#sha256=a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c
+# pip ty @ https://files.pythonhosted.org/packages/d1/50/86008b1392ec64bed1957bbcc7aaa43b466b50dfc91bb131841c21d7c5c3/ty-0.0.34-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=99eb23df9ed129fc26d1ab00d6f0b8dfe5253b09c2ac6abdb11523fa70d67f10
 # pip isitgr @ https://files.pythonhosted.org/packages/82/cd/aa7a9ef44cb7d100538b99ded5234eb675f3a9996ad5b0f3826e105cd2e1/isitgr-1.6.5.tar.gz#sha256=87890cd59c7befa5d244dee6598ef6ceccd099210dd86547951cf87b682fe366
 # pip py-bobyqa @ https://files.pythonhosted.org/packages/f4/1e/0d44a4e3a291c009a357fbd1d61511d9306c2c4db9a7ceb6e8104d8d385f/Py_BOBYQA-1.5.0-py3-none-any.whl#sha256=457afc04d6f2c9f1814934854dc4e542c5e5982a0f80add4b211fcdb0b5811e3
 # pip pygobject-stubs @ https://files.pythonhosted.org/packages/2d/1c/317ccaaa6a3ddce270652781cf09d3b1d5d343b1a1dabca304fe5c218474/pygobject_stubs-2.16.0.tar.gz#sha256=a97574616e92ef458605f9520d8d9db4c2a131affcd12fdd51db0b42395291e9
diff --git a/.github/conda-lock/conda-osx-arm64-py3.11.lock b/.github/conda-lock/conda-osx-arm64-py3.11.lock
index 22de25a50..976458bc1 100644
--- a/.github/conda-lock/conda-osx-arm64-py3.11.lock
+++ b/.github/conda-lock/conda-osx-arm64-py3.11.lock
@@ -1,6 +1,6 @@
 # Generated by conda-lock.
 # platform: osx-arm64
-# input_hash: c1408aa31cf5124b7d88e9692b4bfc309056abd2f4b8a77af5b4fc1663f4c8b2
+# input_hash: 26acce6296b06ddb9ab5b1e1a1f3ed23f8476a1b980b6d82c17800124ff64414
 @EXPLICIT
 https://conda.anaconda.org/conda-forge/osx-arm64/dart-sass-1.99.0-h820172f_0.conda#e06810706fcd8bb874f0f3808a82abfe
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@@ -28,7 +28,7 @@ https://conda.anaconda.org/conda-forge/osx-arm64/libbrotlicommon-1.2.0-hc919400_
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-https://conda.anaconda.org/conda-forge/osx-arm64/libexpat-2.7.5-hf6b4638_0.conda#a32123f93e168eaa4080d87b0fb5da8a
+https://conda.anaconda.org/conda-forge/osx-arm64/libexpat-2.8.0-hf6b4638_0.conda#65466e82c09e888ca7560c11a97d5450
 https://conda.anaconda.org/conda-forge/osx-arm64/libfabric1-2.5.1-h84a0fba_0.conda#4fadc540f85823023f3443b14703c9b5
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@@ -40,7 +40,7 @@ https://conda.anaconda.org/conda-forge/osx-arm64/libwebp-base-1.6.0-h07db88b_0.c
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 https://conda.anaconda.org/conda-forge/osx-arm64/make-4.4.1-hc9fafa5_2.conda#9f44ef1fea0a25d6a3491c58f3af8460
-https://conda.anaconda.org/conda-forge/osx-arm64/ncurses-6.5-h5e97a16_3.conda#068d497125e4bf8a66bf707254fff5ae
+https://conda.anaconda.org/conda-forge/osx-arm64/ncurses-6.6-h1d4f5a5_0.conda#343d10ed5b44030a2f67193905aea159
 https://conda.anaconda.org/conda-forge/osx-arm64/pthread-stubs-0.4-hd74edd7_1002.conda#415816daf82e0b23a736a069a75e9da7
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@@ -62,7 +62,7 @@ https://conda.anaconda.org/conda-forge/osx-arm64/libedit-3.1.20250104-pl5321hafb
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-https://conda.anaconda.org/conda-forge/osx-arm64/libsqlite-3.53.0-h1b79a29_0.conda#8423c008105df35485e184066cad4566
+https://conda.anaconda.org/conda-forge/osx-arm64/libsqlite-3.53.1-h1b79a29_0.conda#6681822ea9d362953206352371b6a904
 https://conda.anaconda.org/conda-forge/osx-arm64/libxcb-1.17.0-hdb1d25a_0.conda#af523aae2eca6dfa1c8eec693f5b9a79
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@@ -85,7 +85,7 @@ https://conda.anaconda.org/conda-forge/osx-arm64/deno-dom-0.1.41-hde76f7a_0.cond
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@@ -347,6 +377,7 @@ https://conda.anaconda.org/conda-forge/osx-arm64/librsvg-2.62.1-he8aa2a2_0.conda
 https://conda.anaconda.org/conda-forge/noarch/nbclient-0.10.4-pyhd8ed1ab_0.conda#00f5b8dafa842e0c27c1cd7296aa4875
 https://conda.anaconda.org/conda-forge/osx-arm64/numpy-2.3.5-py311had1e860_1.conda#4fbf355f73e5bf2306472e99f40d3ed4
 https://conda.anaconda.org/conda-forge/noarch/adwaita-icon-theme-49.0-unix_0.conda#b3f0179590f3c0637b7eb5309898f79e
+https://conda.anaconda.org/conda-forge/noarch/conda-lock-4.0.0-pyh5552912_0.conda#0b61fc8c8f0c436e0602df2d9b9b1313
 https://conda.anaconda.org/conda-forge/osx-arm64/contourpy-1.3.3-py311h7d85929_4.conda#bd91dd35d73638e5c0f520a18850f6ba
 https://conda.anaconda.org/conda-forge/noarch/emcee-3.1.6-pyhd8ed1ab_1.conda#10bdc033c0d358034f27bf0daf5e6be7
 https://conda.anaconda.org/conda-forge/osx-arm64/fitsio-1.3.0-np2py311hacb6894_0.conda#1cd6e3803cabda60eb86a44f18c7c1e7
@@ -361,7 +392,7 @@ https://conda.anaconda.org/conda-forge/osx-arm64/rapidfuzz-3.14.5-py311h8325047_
 https://conda.anaconda.org/conda-forge/osx-arm64/scipy-1.15.2-py311h0675101_0.conda#df904770f3fdb6c0265a09cdc22acf54
 https://conda.anaconda.org/conda-forge/osx-arm64/astropy-base-7.2.0-py311h09efe57_0.conda#b478b72796c546e366bad76f5db64fdd
 https://conda.anaconda.org/conda-forge/osx-arm64/graphviz-14.1.2-hec8c438_0.conda#1f3d859de3ca2bcaa845e92e87d73660
-https://conda.anaconda.org/conda-forge/noarch/jupyter_server-2.17.0-pyhcf101f3_0.conda#d79a87dcfa726bcea8e61275feed6f83
+https://conda.anaconda.org/conda-forge/noarch/jupyter_server-2.18.2-pyhcf101f3_0.conda#5ee7945accf0f215ddd6055d25d7cd83
 https://conda.anaconda.org/conda-forge/osx-arm64/levenshtein-0.27.3-py311h251fd82_0.conda#f248ea161d381d98a71273763fb415ef
 https://conda.anaconda.org/conda-forge/osx-arm64/matplotlib-base-3.10.9-py311h68bafec_0.conda#bbf824cfa16d55856fb12f04026030c6
 https://conda.anaconda.org/conda-forge/noarch/mizani-0.13.5-pyhd8ed1ab_0.conda#ecbce1717259a6631ca8d8c0673bef19
@@ -385,11 +416,11 @@ https://conda.anaconda.org/conda-forge/noarch/sacc-2.1.2-pyhd8ed1ab_0.conda#ed39
 https://conda.anaconda.org/conda-forge/noarch/seaborn-base-0.13.2-pyhd8ed1ab_3.conda#fd96da444e81f9e6fcaac38590f3dd42
 https://conda.anaconda.org/conda-forge/noarch/tables-io-1.1.0-pyh97e8d58_0.conda#63a135a7576aaa90dc13131720b5df19
 https://conda.anaconda.org/conda-forge/noarch/fuzzywuzzy-0.18.0-pyhd8ed1ab_1.conda#f579639872dc3b2b4ae3c0bd3e796ecd
-https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.5.6-pyhd8ed1ab_0.conda#bcbb401d6fa84e0cee34d4926b0e9e93
+https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.5.7-pyhd8ed1ab_0.conda#2ffe77234070324e763a6eddabb5f467
 https://conda.anaconda.org/conda-forge/noarch/qp-prob-1.0.1-pyhd8ed1ab_0.conda#781ea726ee8b76128ab2d68b26a213b5
 https://conda.anaconda.org/conda-forge/noarch/seaborn-0.13.2-hd8ed1ab_3.conda#62afb877ca2c2b4b6f9ecb37320085b6
 https://conda.anaconda.org/conda-forge/noarch/clmm-1.16.10-pyhd8ed1ab_0.conda#76fe72ac323339a6dcf679793fccfa94
-https://conda.anaconda.org/conda-forge/noarch/notebook-7.5.5-pyhcf101f3_0.conda#471096452091ae8c460928ad5ff143cc
+https://conda.anaconda.org/conda-forge/noarch/notebook-7.5.6-pyhcf101f3_1.conda#1fa699844c163bf17717fed8ca229846
 https://conda.anaconda.org/conda-forge/noarch/zeus-mcmc-2.5.4-pyhd8ed1ab_1.conda#096edf5211fc5cc508772c0a9f321e6e
 https://conda.anaconda.org/conda-forge/osx-arm64/cosmosis-3.25.2-py311hb0266c6_1.conda#116cbbc14ad1cafd776e48c23fab66e2
 https://conda.anaconda.org/conda-forge/noarch/jupyter-1.1.1-pyhd8ed1ab_1.conda#9453512288d20847de4356327d0e1282
@@ -423,6 +454,7 @@ https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-qthelp-2.0.0-pyhd8ed
 https://conda.anaconda.org/conda-forge/noarch/sphinx-8.2.3-pyhd8ed1ab_0.conda#f7af826063ed569bb13f7207d6f949b0
 https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-serializinghtml-1.1.10-pyhd8ed1ab_1.conda#3bc61f7161d28137797e038263c04c54
 # pip mpmath @ https://files.pythonhosted.org/packages/43/e3/7d92a15f894aa0c9c4b49b8ee9ac9850d6e63b03c9c32c0367a13ae62209/mpmath-1.3.0-py3-none-any.whl#sha256=a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c
+# pip ty @ https://files.pythonhosted.org/packages/e4/55/5e4adcf7d2a1006b844903b27cb81244a9b748d850433a46a6c21776c401/ty-0.0.34-py3-none-macosx_11_0_arm64.whl#sha256=b0ea47a2998e167ab3b21d2f4b5309a9cf33c297809f6d7e3e753252223174d0
 # pip isitgr @ https://files.pythonhosted.org/packages/82/cd/aa7a9ef44cb7d100538b99ded5234eb675f3a9996ad5b0f3826e105cd2e1/isitgr-1.6.5.tar.gz#sha256=87890cd59c7befa5d244dee6598ef6ceccd099210dd86547951cf87b682fe366
 # pip py-bobyqa @ https://files.pythonhosted.org/packages/f4/1e/0d44a4e3a291c009a357fbd1d61511d9306c2c4db9a7ceb6e8104d8d385f/Py_BOBYQA-1.5.0-py3-none-any.whl#sha256=457afc04d6f2c9f1814934854dc4e542c5e5982a0f80add4b211fcdb0b5811e3
 # pip pygobject-stubs @ https://files.pythonhosted.org/packages/2d/1c/317ccaaa6a3ddce270652781cf09d3b1d5d343b1a1dabca304fe5c218474/pygobject_stubs-2.16.0.tar.gz#sha256=a97574616e92ef458605f9520d8d9db4c2a131affcd12fdd51db0b42395291e9
diff --git a/.github/conda-lock/conda-osx-arm64-py3.12.lock b/.github/conda-lock/conda-osx-arm64-py3.12.lock
index 29ccd274c..df9efa7b3 100644
--- a/.github/conda-lock/conda-osx-arm64-py3.12.lock
+++ b/.github/conda-lock/conda-osx-arm64-py3.12.lock
@@ -1,6 +1,6 @@
 # Generated by conda-lock.
 # platform: osx-arm64
-# input_hash: 306515cfa54ce5dadcd79069fcf6343d16c6f39deb53eaf4a11a67f2b741099d
+# input_hash: fc3bd3e75dd9a076f112bce11dbad3be5895c5ce95e8a2d4fbe1e1284bc768eb
 @EXPLICIT
 https://conda.anaconda.org/conda-forge/osx-arm64/dart-sass-1.99.0-h820172f_0.conda#e06810706fcd8bb874f0f3808a82abfe
 https://conda.anaconda.org/conda-forge/osx-arm64/esbuild-0.28.0-hf76c51c_0.conda#d3b809d98eebca3c42d35eca9fc3c467
@@ -28,7 +28,7 @@ https://conda.anaconda.org/conda-forge/osx-arm64/libbrotlicommon-1.2.0-hc919400_
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-https://conda.anaconda.org/conda-forge/osx-arm64/libexpat-2.7.5-hf6b4638_0.conda#a32123f93e168eaa4080d87b0fb5da8a
+https://conda.anaconda.org/conda-forge/osx-arm64/libexpat-2.8.0-hf6b4638_0.conda#65466e82c09e888ca7560c11a97d5450
 https://conda.anaconda.org/conda-forge/osx-arm64/libfabric1-2.5.1-h84a0fba_0.conda#4fadc540f85823023f3443b14703c9b5
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@@ -40,7 +40,7 @@ https://conda.anaconda.org/conda-forge/osx-arm64/libwebp-base-1.6.0-h07db88b_0.c
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 https://conda.anaconda.org/conda-forge/osx-arm64/make-4.4.1-hc9fafa5_2.conda#9f44ef1fea0a25d6a3491c58f3af8460
-https://conda.anaconda.org/conda-forge/osx-arm64/ncurses-6.5-h5e97a16_3.conda#068d497125e4bf8a66bf707254fff5ae
+https://conda.anaconda.org/conda-forge/osx-arm64/ncurses-6.6-h1d4f5a5_0.conda#343d10ed5b44030a2f67193905aea159
 https://conda.anaconda.org/conda-forge/osx-arm64/pthread-stubs-0.4-hd74edd7_1002.conda#415816daf82e0b23a736a069a75e9da7
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 https://conda.anaconda.org/conda-forge/osx-arm64/xorg-libxau-1.0.12-hc919400_1.conda#78b548eed8227a689f93775d5d23ae09
@@ -62,7 +62,7 @@ https://conda.anaconda.org/conda-forge/osx-arm64/libedit-3.1.20250104-pl5321hafb
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-https://conda.anaconda.org/conda-forge/osx-arm64/libsqlite-3.53.0-h1b79a29_0.conda#8423c008105df35485e184066cad4566
+https://conda.anaconda.org/conda-forge/osx-arm64/libsqlite-3.53.1-h1b79a29_0.conda#6681822ea9d362953206352371b6a904
 https://conda.anaconda.org/conda-forge/osx-arm64/libxcb-1.17.0-hdb1d25a_0.conda#af523aae2eca6dfa1c8eec693f5b9a79
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@@ -85,7 +85,7 @@ https://conda.anaconda.org/conda-forge/osx-arm64/deno-dom-0.1.41-hde76f7a_0.cond
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-https://conda.anaconda.org/conda-forge/osx-arm64/libglib-2.86.4-he378b5c_1.conda#673069f6725ed7b1073f9b96094294d1
+https://conda.anaconda.org/conda-forge/osx-arm64/libglib-2.88.1-ha08bb59_1.conda#ed49aeb876b26dbd9d20c2bb3bad1080
 https://conda.anaconda.org/conda-forge/osx-arm64/libintl-devel-0.25.1-h493aca8_0.conda#5f9888e1cdbbbef52c8cf8b567393535
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 https://conda.anaconda.org/conda-forge/osx-arm64/libsigtool-0.1.3-h98dc951_0.conda#c08557d00807785decafb932b5be7ef5
@@ -98,14 +98,17 @@ https://conda.anaconda.org/conda-forge/osx-arm64/ntl-11.4.3-hbb3f309_1.tar.bz2#f
 https://conda.anaconda.org/conda-forge/osx-arm64/python-3.12.13-h8561d8f_0_cpython.conda#8e7608172fa4d1b90de9a745c2fd2b81
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+https://conda.anaconda.org/conda-forge/noarch/appdirs-1.4.4-pyhd8ed1ab_1.conda#f4e90937bbfc3a4a92539545a37bb448
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-https://conda.anaconda.org/conda-forge/noarch/astropy-iers-data-0.2026.4.27.1.3.2-pyhd8ed1ab_0.conda#c0d116d1bb62678b00c84a64daa59229
+https://conda.anaconda.org/conda-forge/noarch/astropy-iers-data-0.2026.5.4.1.4.54-pyhd8ed1ab_0.conda#2ade390e8c0d3a449b16bf541bd5c177
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-https://conda.anaconda.org/conda-forge/osx-arm64/backports.zstd-1.3.0-py312h44dc372_0.conda#c2d5961bfd98504b930e704426d16572
+https://conda.anaconda.org/conda-forge/noarch/backports-1.0-pyhd8ed1ab_5.conda#767d508c1a67e02ae8f50e44cacfadb2
+https://conda.anaconda.org/conda-forge/osx-arm64/backports.zstd-1.4.0-py312h87c4bb7_0.conda#95a833465ec45ac1e8f2ed1aaba8ec37
+https://conda.anaconda.org/conda-forge/noarch/boltons-25.0.0-pyhd8ed1ab_0.conda#c7eb87af73750d6fd97eff8bbee8cb9c
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@@ -115,18 +118,21 @@ https://conda.anaconda.org/conda-forge/noarch/click-8.3.3-pyhc90fa1f_0.conda#226
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+https://conda.anaconda.org/conda-forge/noarch/crashtest-0.4.1-pyhd8ed1ab_1.conda#e036e2f76d9c9aebc12510ed23352b6c
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+https://conda.anaconda.org/conda-forge/noarch/distlib-0.4.0-pyhd8ed1ab_0.conda#003b8ba0a94e2f1e117d0bd46aebc901
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+https://conda.anaconda.org/conda-forge/noarch/filelock-3.29.0-pyhd8ed1ab_0.conda#8fa8358d022a3a9bd101384a808044c6
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@@ -283,10 +301,12 @@ https://conda.anaconda.org/conda-forge/osx-arm64/clang-19-19.1.7-default_hf3020a
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@@ -323,10 +349,12 @@ https://conda.anaconda.org/conda-forge/noarch/pytest-xdist-3.8.0-pyhd8ed1ab_0.co
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+https://conda.anaconda.org/conda-forge/noarch/ensureconda-1.6.0-pyhcf101f3_0.conda#fcc02785e4da41e5f19f740e017b6ffb
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@@ -338,7 +366,9 @@ https://conda.anaconda.org/conda-forge/noarch/nbformat-5.10.4-pyhd8ed1ab_1.conda
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+https://conda.anaconda.org/conda-forge/noarch/requests-toolbelt-1.0.0-pyhd8ed1ab_1.conda#66de8645e324fda0ea6ef28c2f99a2ab
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+https://conda.anaconda.org/conda-forge/noarch/cachecontrol-with-filecache-0.14.3-pyhd8ed1ab_0.conda#b4af8c1b61929b1bcb001c2953882149
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@@ -348,6 +378,7 @@ https://conda.anaconda.org/conda-forge/osx-arm64/librsvg-2.62.1-he8aa2a2_0.conda
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 https://conda.anaconda.org/conda-forge/noarch/adwaita-icon-theme-49.0-unix_0.conda#b3f0179590f3c0637b7eb5309898f79e
+https://conda.anaconda.org/conda-forge/noarch/conda-lock-4.0.0-pyh5552912_0.conda#0b61fc8c8f0c436e0602df2d9b9b1313
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@@ -363,7 +394,7 @@ https://conda.anaconda.org/conda-forge/osx-arm64/rapidfuzz-3.14.5-py312h6d95f44_
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+https://conda.anaconda.org/conda-forge/noarch/jupyter_server-2.18.2-pyhcf101f3_0.conda#5ee7945accf0f215ddd6055d25d7cd83
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@@ -387,11 +418,11 @@ https://conda.anaconda.org/conda-forge/noarch/sacc-2.1.2-pyhd8ed1ab_0.conda#ed39
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+https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.5.7-pyhd8ed1ab_0.conda#2ffe77234070324e763a6eddabb5f467
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-https://conda.anaconda.org/conda-forge/noarch/notebook-7.5.5-pyhcf101f3_0.conda#471096452091ae8c460928ad5ff143cc
+https://conda.anaconda.org/conda-forge/noarch/notebook-7.5.6-pyhcf101f3_1.conda#1fa699844c163bf17717fed8ca229846
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@@ -425,6 +456,7 @@ https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-qthelp-2.0.0-pyhd8ed
 https://conda.anaconda.org/conda-forge/noarch/sphinx-8.2.3-pyhd8ed1ab_0.conda#f7af826063ed569bb13f7207d6f949b0
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 # pip mpmath @ https://files.pythonhosted.org/packages/43/e3/7d92a15f894aa0c9c4b49b8ee9ac9850d6e63b03c9c32c0367a13ae62209/mpmath-1.3.0-py3-none-any.whl#sha256=a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c
+# pip ty @ https://files.pythonhosted.org/packages/e4/55/5e4adcf7d2a1006b844903b27cb81244a9b748d850433a46a6c21776c401/ty-0.0.34-py3-none-macosx_11_0_arm64.whl#sha256=b0ea47a2998e167ab3b21d2f4b5309a9cf33c297809f6d7e3e753252223174d0
 # pip isitgr @ https://files.pythonhosted.org/packages/82/cd/aa7a9ef44cb7d100538b99ded5234eb675f3a9996ad5b0f3826e105cd2e1/isitgr-1.6.5.tar.gz#sha256=87890cd59c7befa5d244dee6598ef6ceccd099210dd86547951cf87b682fe366
 # pip py-bobyqa @ https://files.pythonhosted.org/packages/f4/1e/0d44a4e3a291c009a357fbd1d61511d9306c2c4db9a7ceb6e8104d8d385f/Py_BOBYQA-1.5.0-py3-none-any.whl#sha256=457afc04d6f2c9f1814934854dc4e542c5e5982a0f80add4b211fcdb0b5811e3
 # pip pygobject-stubs @ https://files.pythonhosted.org/packages/2d/1c/317ccaaa6a3ddce270652781cf09d3b1d5d343b1a1dabca304fe5c218474/pygobject_stubs-2.16.0.tar.gz#sha256=a97574616e92ef458605f9520d8d9db4c2a131affcd12fdd51db0b42395291e9
diff --git a/.github/conda-lock/conda-osx-arm64-py3.13.lock b/.github/conda-lock/conda-osx-arm64-py3.13.lock
index 539737fb3..69c31bbb6 100644
--- a/.github/conda-lock/conda-osx-arm64-py3.13.lock
+++ b/.github/conda-lock/conda-osx-arm64-py3.13.lock
@@ -1,6 +1,6 @@
 # Generated by conda-lock.
 # platform: osx-arm64
-# input_hash: 17a10b69980cc8de58ff215fece65b38c396533ba735353965b1d54f427d0ab4
+# input_hash: b433530c22f4c4d153927bdd047127e25251a7caebb7912fd4c71d48e4f55f15
 @EXPLICIT
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 https://conda.anaconda.org/conda-forge/noarch/requests-2.33.1-pyhcf101f3_1.conda#9659f587a8ceacc21864260acd02fc67
 https://conda.anaconda.org/conda-forge/noarch/send2trash-2.1.0-pyh5552912_1.conda#b70e2d44e6aa2beb69ba64206a16e4c6
-https://conda.anaconda.org/conda-forge/noarch/typer-0.25.0-pyhcf101f3_0.conda#696c3e5b10d43030058b6e8b65a6a4a8
-https://conda.anaconda.org/conda-forge/noarch/types-requests-2.33.0.20260408-pyhcf101f3_0.conda#e6ebbb0669c2e2e5e32c7cc3d162d3d0
+https://conda.anaconda.org/conda-forge/noarch/typer-0.25.1-pyhcf101f3_0.conda#ef114c2eb2ff19f6bf616c81f4710841
+https://conda.anaconda.org/conda-forge/noarch/types-requests-2.33.0.20260503-pyhcf101f3_0.conda#3b0c91cdffe9bf26f55ad37e5a00c80c
+https://conda.anaconda.org/conda-forge/noarch/cachecontrol-0.14.3-pyha770c72_0.conda#241ef6e3db47a143ac34c21bfba510f1
 https://conda.anaconda.org/conda-forge/osx-arm64/cctools-1030.6.3-llvm19_1_hd01ab73_4.conda#caf7c8e48827c2ad0c402716159fe0a2
 https://conda.anaconda.org/conda-forge/osx-arm64/cctools_osx-arm64-1030.6.3-llvm19_1_hd01ab73_4.conda#0d059c5db9d880ff37b2da53bf06509e
+https://conda.anaconda.org/conda-forge/noarch/ensureconda-1.6.0-pyhcf101f3_0.conda#fcc02785e4da41e5f19f740e017b6ffb
 https://conda.anaconda.org/conda-forge/osx-arm64/g-ir-host-tools-1.86.0-h148b53a_0.conda#45cb5968cc10c0adb4d6625f9dd35f40
 https://conda.anaconda.org/conda-forge/noarch/httpx-0.28.1-pyhd8ed1ab_0.conda#d6989ead454181f4f9bc987d3dc4e285
 https://conda.anaconda.org/conda-forge/noarch/jsonschema-with-format-nongpl-4.26.0-hcf101f3_0.conda#8368d58342d0825f0843dc6acdd0c483
@@ -340,6 +368,8 @@ https://conda.anaconda.org/conda-forge/noarch/nbformat-5.10.4-pyhd8ed1ab_1.conda
 https://conda.anaconda.org/conda-forge/osx-arm64/pango-1.56.4-hf80efc4_1.conda#4b433508ebb295c05dd3d03daf27f7bb
 https://conda.anaconda.org/conda-forge/osx-arm64/pygobject-3.56.2-py313h5b566b3_0.conda#7df25ce3880138570dff80899262d7c4
 https://conda.anaconda.org/conda-forge/noarch/pytest-json-report-1.5.0-pyhd8ed1ab_0.tar.bz2#837e335fa428cf7c784ee2e80594506c
+https://conda.anaconda.org/conda-forge/noarch/requests-toolbelt-1.0.0-pyhd8ed1ab_1.conda#66de8645e324fda0ea6ef28c2f99a2ab
+https://conda.anaconda.org/conda-forge/noarch/cachecontrol-with-filecache-0.14.3-pyhd8ed1ab_0.conda#b4af8c1b61929b1bcb001c2953882149
 https://conda.anaconda.org/conda-forge/osx-arm64/gobject-introspection-1.86.0-py313hbca5ae1_0.conda#4d996b7c42e3aee31a9b7521deada02e
 https://conda.anaconda.org/conda-forge/osx-arm64/gsl-2.7-h6e638da_0.tar.bz2#2a2126a940e033e7225a5dc7215eea9a
 https://conda.anaconda.org/conda-forge/osx-arm64/gtk3-3.24.52-hc0f3e19_0.conda#5557a2433b1339b8e536c264afea41ef
@@ -349,6 +379,7 @@ https://conda.anaconda.org/conda-forge/osx-arm64/librsvg-2.62.1-he8aa2a2_0.conda
 https://conda.anaconda.org/conda-forge/noarch/nbclient-0.10.4-pyhd8ed1ab_0.conda#00f5b8dafa842e0c27c1cd7296aa4875
 https://conda.anaconda.org/conda-forge/osx-arm64/numpy-2.3.5-py313h16eae64_1.conda#c72599556b49dc853839f4439c1eea32
 https://conda.anaconda.org/conda-forge/noarch/adwaita-icon-theme-49.0-unix_0.conda#b3f0179590f3c0637b7eb5309898f79e
+https://conda.anaconda.org/conda-forge/noarch/conda-lock-4.0.0-pyh5552912_0.conda#0b61fc8c8f0c436e0602df2d9b9b1313
 https://conda.anaconda.org/conda-forge/osx-arm64/contourpy-1.3.3-py313h2af2deb_4.conda#afd3e394d14e627be0de6e8ee3553dae
 https://conda.anaconda.org/conda-forge/noarch/emcee-3.1.6-pyhd8ed1ab_1.conda#10bdc033c0d358034f27bf0daf5e6be7
 https://conda.anaconda.org/conda-forge/osx-arm64/fitsio-1.3.0-np2py313h79b859c_0.conda#374c8dd6d2cb733c3c7481f43c7364cb
@@ -364,7 +395,7 @@ https://conda.anaconda.org/conda-forge/osx-arm64/rapidfuzz-3.14.5-py313h6deaedc_
 https://conda.anaconda.org/conda-forge/osx-arm64/scipy-1.15.2-py313h9a24e0a_0.conda#45e6244d4265a576a299c0a1d8b09ad9
 https://conda.anaconda.org/conda-forge/osx-arm64/astropy-base-7.2.0-py313hc577518_0.conda#43c0025a978822284cb04d1df8bb0447
 https://conda.anaconda.org/conda-forge/osx-arm64/graphviz-14.1.2-hec8c438_0.conda#1f3d859de3ca2bcaa845e92e87d73660
-https://conda.anaconda.org/conda-forge/noarch/jupyter_server-2.17.0-pyhcf101f3_0.conda#d79a87dcfa726bcea8e61275feed6f83
+https://conda.anaconda.org/conda-forge/noarch/jupyter_server-2.18.2-pyhcf101f3_0.conda#5ee7945accf0f215ddd6055d25d7cd83
 https://conda.anaconda.org/conda-forge/osx-arm64/levenshtein-0.27.3-py313h0e822ff_0.conda#36caee8b568c12e972ffcdaf36bcc03e
 https://conda.anaconda.org/conda-forge/osx-arm64/matplotlib-base-3.10.9-py313h36cb854_0.conda#31b565206ed2d71a0a6cca1e54e3f2c5
 https://conda.anaconda.org/conda-forge/noarch/mizani-0.13.5-pyhd8ed1ab_0.conda#ecbce1717259a6631ca8d8c0673bef19
@@ -388,11 +419,11 @@ https://conda.anaconda.org/conda-forge/noarch/sacc-2.1.2-pyhd8ed1ab_0.conda#ed39
 https://conda.anaconda.org/conda-forge/noarch/seaborn-base-0.13.2-pyhd8ed1ab_3.conda#fd96da444e81f9e6fcaac38590f3dd42
 https://conda.anaconda.org/conda-forge/noarch/tables-io-1.1.0-pyh97e8d58_0.conda#63a135a7576aaa90dc13131720b5df19
 https://conda.anaconda.org/conda-forge/noarch/fuzzywuzzy-0.18.0-pyhd8ed1ab_1.conda#f579639872dc3b2b4ae3c0bd3e796ecd
-https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.5.6-pyhd8ed1ab_0.conda#bcbb401d6fa84e0cee34d4926b0e9e93
+https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.5.7-pyhd8ed1ab_0.conda#2ffe77234070324e763a6eddabb5f467
 https://conda.anaconda.org/conda-forge/noarch/qp-prob-1.0.1-pyhd8ed1ab_0.conda#781ea726ee8b76128ab2d68b26a213b5
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 https://conda.anaconda.org/conda-forge/noarch/clmm-1.16.10-pyhd8ed1ab_0.conda#76fe72ac323339a6dcf679793fccfa94
-https://conda.anaconda.org/conda-forge/noarch/notebook-7.5.5-pyhcf101f3_0.conda#471096452091ae8c460928ad5ff143cc
+https://conda.anaconda.org/conda-forge/noarch/notebook-7.5.6-pyhcf101f3_1.conda#1fa699844c163bf17717fed8ca229846
 https://conda.anaconda.org/conda-forge/noarch/zeus-mcmc-2.5.4-pyhd8ed1ab_1.conda#096edf5211fc5cc508772c0a9f321e6e
 https://conda.anaconda.org/conda-forge/osx-arm64/cosmosis-3.25.2-py313h97fa202_1.conda#78318104f8ef743f8191527bc3bf6243
 https://conda.anaconda.org/conda-forge/noarch/jupyter-1.1.1-pyhd8ed1ab_1.conda#9453512288d20847de4356327d0e1282
@@ -426,6 +457,7 @@ https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-qthelp-2.0.0-pyhd8ed
 https://conda.anaconda.org/conda-forge/noarch/sphinx-8.2.3-pyhd8ed1ab_0.conda#f7af826063ed569bb13f7207d6f949b0
 https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-serializinghtml-1.1.10-pyhd8ed1ab_1.conda#3bc61f7161d28137797e038263c04c54
 # pip mpmath @ https://files.pythonhosted.org/packages/43/e3/7d92a15f894aa0c9c4b49b8ee9ac9850d6e63b03c9c32c0367a13ae62209/mpmath-1.3.0-py3-none-any.whl#sha256=a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c
+# pip ty @ https://files.pythonhosted.org/packages/e4/55/5e4adcf7d2a1006b844903b27cb81244a9b748d850433a46a6c21776c401/ty-0.0.34-py3-none-macosx_11_0_arm64.whl#sha256=b0ea47a2998e167ab3b21d2f4b5309a9cf33c297809f6d7e3e753252223174d0
 # pip isitgr @ https://files.pythonhosted.org/packages/82/cd/aa7a9ef44cb7d100538b99ded5234eb675f3a9996ad5b0f3826e105cd2e1/isitgr-1.6.5.tar.gz#sha256=87890cd59c7befa5d244dee6598ef6ceccd099210dd86547951cf87b682fe366
 # pip py-bobyqa @ https://files.pythonhosted.org/packages/f4/1e/0d44a4e3a291c009a357fbd1d61511d9306c2c4db9a7ceb6e8104d8d385f/Py_BOBYQA-1.5.0-py3-none-any.whl#sha256=457afc04d6f2c9f1814934854dc4e542c5e5982a0f80add4b211fcdb0b5811e3
 # pip pygobject-stubs @ https://files.pythonhosted.org/packages/2d/1c/317ccaaa6a3ddce270652781cf09d3b1d5d343b1a1dabca304fe5c218474/pygobject_stubs-2.16.0.tar.gz#sha256=a97574616e92ef458605f9520d8d9db4c2a131affcd12fdd51db0b42395291e9
diff --git a/.github/conda-lock/conda-osx-arm64-py3.14.lock b/.github/conda-lock/conda-osx-arm64-py3.14.lock
index 34ecdf80a..e9eb033b3 100644
--- a/.github/conda-lock/conda-osx-arm64-py3.14.lock
+++ b/.github/conda-lock/conda-osx-arm64-py3.14.lock
@@ -1,6 +1,6 @@
 # Generated by conda-lock.
 # platform: osx-arm64
-# input_hash: c037471b8c161aa07bce16f8d15f74296496a4f43eb717ffe942cfc7fed2a257
+# input_hash: 6833a9f82d29ae98eff07c03d57b1e8a09be100a1d60bcfb1291c530be85cd39
 @EXPLICIT
 https://conda.anaconda.org/conda-forge/osx-arm64/dart-sass-1.99.0-h820172f_0.conda#e06810706fcd8bb874f0f3808a82abfe
 https://conda.anaconda.org/conda-forge/osx-arm64/esbuild-0.28.0-hf76c51c_0.conda#d3b809d98eebca3c42d35eca9fc3c467
@@ -28,7 +28,7 @@ https://conda.anaconda.org/conda-forge/osx-arm64/libbrotlicommon-1.2.0-hc919400_
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-https://conda.anaconda.org/conda-forge/osx-arm64/libexpat-2.7.5-hf6b4638_0.conda#a32123f93e168eaa4080d87b0fb5da8a
+https://conda.anaconda.org/conda-forge/osx-arm64/libexpat-2.8.0-hf6b4638_0.conda#65466e82c09e888ca7560c11a97d5450
 https://conda.anaconda.org/conda-forge/osx-arm64/libfabric1-2.5.1-h84a0fba_0.conda#4fadc540f85823023f3443b14703c9b5
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 https://conda.anaconda.org/conda-forge/osx-arm64/libfyaml-0.9.6-h84a0fba_0.conda#897cf4123c6d1d6cc9b59eb5902b7775
@@ -41,7 +41,7 @@ https://conda.anaconda.org/conda-forge/osx-arm64/libwebp-base-1.6.0-h07db88b_0.c
 https://conda.anaconda.org/conda-forge/osx-arm64/libzlib-1.3.2-h8088a28_2.conda#bc5a5721b6439f2f62a84f2548136082
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 https://conda.anaconda.org/conda-forge/osx-arm64/make-4.4.1-hc9fafa5_2.conda#9f44ef1fea0a25d6a3491c58f3af8460
-https://conda.anaconda.org/conda-forge/osx-arm64/ncurses-6.5-h5e97a16_3.conda#068d497125e4bf8a66bf707254fff5ae
+https://conda.anaconda.org/conda-forge/osx-arm64/ncurses-6.6-h1d4f5a5_0.conda#343d10ed5b44030a2f67193905aea159
 https://conda.anaconda.org/conda-forge/osx-arm64/pthread-stubs-0.4-hd74edd7_1002.conda#415816daf82e0b23a736a069a75e9da7
 https://conda.anaconda.org/conda-forge/osx-arm64/typst-0.14.2-hd1458d2_0.conda#750223ac708cb65d0d32fa61d84e35e4
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@@ -63,7 +63,7 @@ https://conda.anaconda.org/conda-forge/osx-arm64/libedit-3.1.20250104-pl5321hafb
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-https://conda.anaconda.org/conda-forge/osx-arm64/libsqlite-3.53.0-h1b79a29_0.conda#8423c008105df35485e184066cad4566
+https://conda.anaconda.org/conda-forge/osx-arm64/libsqlite-3.53.1-h1b79a29_0.conda#6681822ea9d362953206352371b6a904
 https://conda.anaconda.org/conda-forge/osx-arm64/libxcb-1.17.0-hdb1d25a_0.conda#af523aae2eca6dfa1c8eec693f5b9a79
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@@ -86,7 +86,7 @@ https://conda.anaconda.org/conda-forge/osx-arm64/deno-dom-0.1.41-hde76f7a_0.cond
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 https://conda.anaconda.org/conda-forge/osx-arm64/libgcc-15.2.0-hcbb3090_18.conda#92df6107310b1fff92c4cc84f0de247b
-https://conda.anaconda.org/conda-forge/osx-arm64/libglib-2.86.4-he378b5c_1.conda#673069f6725ed7b1073f9b96094294d1
+https://conda.anaconda.org/conda-forge/osx-arm64/libglib-2.88.1-ha08bb59_1.conda#ed49aeb876b26dbd9d20c2bb3bad1080
 https://conda.anaconda.org/conda-forge/osx-arm64/libintl-devel-0.25.1-h493aca8_0.conda#5f9888e1cdbbbef52c8cf8b567393535
 https://conda.anaconda.org/conda-forge/osx-arm64/libnghttp2-1.68.1-h8f3e76b_0.conda#6ea18834adbc3b33df9bd9fb45eaf95b
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@@ -99,14 +99,17 @@ https://conda.anaconda.org/conda-forge/osx-arm64/ntl-11.4.3-hbb3f309_1.tar.bz2#f
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 https://conda.anaconda.org/conda-forge/noarch/annotated-doc-0.0.4-pyhcf101f3_0.conda#52be5139047efadaeeb19c6a5103f92a
+https://conda.anaconda.org/conda-forge/noarch/appdirs-1.4.4-pyhd8ed1ab_1.conda#f4e90937bbfc3a4a92539545a37bb448
 https://conda.anaconda.org/conda-forge/noarch/appnope-0.1.4-pyhd8ed1ab_1.conda#54898d0f524c9dee622d44bbb081a8ab
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-https://conda.anaconda.org/conda-forge/noarch/astropy-iers-data-0.2026.4.27.1.3.2-pyhd8ed1ab_0.conda#c0d116d1bb62678b00c84a64daa59229
+https://conda.anaconda.org/conda-forge/noarch/astropy-iers-data-0.2026.5.4.1.4.54-pyhd8ed1ab_0.conda#2ade390e8c0d3a449b16bf541bd5c177
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-https://conda.anaconda.org/conda-forge/noarch/backports.zstd-1.3.0-py314h680f03e_0.conda#a2ac7763a9ac75055b68f325d3255265
+https://conda.anaconda.org/conda-forge/noarch/backports-1.0-pyhd8ed1ab_5.conda#767d508c1a67e02ae8f50e44cacfadb2
+https://conda.anaconda.org/conda-forge/noarch/backports.zstd-1.4.0-py314h680f03e_0.conda#b712198b257f378e9bd8cde277218296
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 https://conda.anaconda.org/conda-forge/osx-arm64/cosmosis-3.25.2-py314h9003924_1.conda#a64f8309333bf6a712f002383d461879
 https://conda.anaconda.org/conda-forge/noarch/jupyter-1.1.1-pyhd8ed1ab_1.conda#9453512288d20847de4356327d0e1282
@@ -425,6 +456,7 @@ https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-qthelp-2.0.0-pyhd8ed
 https://conda.anaconda.org/conda-forge/noarch/sphinx-8.2.3-pyhd8ed1ab_0.conda#f7af826063ed569bb13f7207d6f949b0
 https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-serializinghtml-1.1.10-pyhd8ed1ab_1.conda#3bc61f7161d28137797e038263c04c54
 # pip mpmath @ https://files.pythonhosted.org/packages/43/e3/7d92a15f894aa0c9c4b49b8ee9ac9850d6e63b03c9c32c0367a13ae62209/mpmath-1.3.0-py3-none-any.whl#sha256=a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c
+# pip ty @ https://files.pythonhosted.org/packages/e4/55/5e4adcf7d2a1006b844903b27cb81244a9b748d850433a46a6c21776c401/ty-0.0.34-py3-none-macosx_11_0_arm64.whl#sha256=b0ea47a2998e167ab3b21d2f4b5309a9cf33c297809f6d7e3e753252223174d0
 # pip isitgr @ https://files.pythonhosted.org/packages/82/cd/aa7a9ef44cb7d100538b99ded5234eb675f3a9996ad5b0f3826e105cd2e1/isitgr-1.6.5.tar.gz#sha256=87890cd59c7befa5d244dee6598ef6ceccd099210dd86547951cf87b682fe366
 # pip py-bobyqa @ https://files.pythonhosted.org/packages/f4/1e/0d44a4e3a291c009a357fbd1d61511d9306c2c4db9a7ceb6e8104d8d385f/Py_BOBYQA-1.5.0-py3-none-any.whl#sha256=457afc04d6f2c9f1814934854dc4e542c5e5982a0f80add4b211fcdb0b5811e3
 # pip pygobject-stubs @ https://files.pythonhosted.org/packages/2d/1c/317ccaaa6a3ddce270652781cf09d3b1d5d343b1a1dabca304fe5c218474/pygobject_stubs-2.16.0.tar.gz#sha256=a97574616e92ef458605f9520d8d9db4c2a131affcd12fdd51db0b42395291e9
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index 7b59d8035..f033ff932 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -30,7 +30,7 @@ To maintain high code quality and consistency, we use several automated tools. W
 | Target | Description | When to run |
 | :--- | :--- | :--- |
 | `make format` | Automatically format all code using `black` | Frequently during development |
-| `make lint` | Run all linters (`black`, `flake8`, `mypy`, `pylint`) in parallel | Before every commit |
+| `make lint` | Run all linters (`black`, `flake8`, `ty`, `pylint`) in parallel | Before every commit |
 | `make test` | Run fast unit tests in parallel | Regularly during development |
 | `make unit-tests` | Run all unit tests with 100% per-component coverage check | Before pushing |
 | `make test-ci` | Run the full test suite exactly as the CI system does | Final check before pushing |
@@ -56,6 +56,5 @@ works, and how the CI pipeline is structured, see
 
 - Use `black` for formatting.
 - Follow PEP 8 guidelines (enforced by `flake8`).
-- Use type hints wherever possible (checked by `mypy`).
+- Use type hints wherever possible (checked by `type checker`).
 - Ensure `pylint` passes without warnings in the relevant packages.
-
diff --git a/CONTRIBUTING_ADVANCED.md b/CONTRIBUTING_ADVANCED.md
index 90fb23888..8758b5763 100644
--- a/CONTRIBUTING_ADVANCED.md
+++ b/CONTRIBUTING_ADVANCED.md
@@ -49,7 +49,7 @@ graph TD
     %% Lint dependencies
     lint --> lint-black["lint-black"]
     lint --> lint-flake8["lint-flake8"]
-    lint --> lint-mypy["lint-mypy"]
+    lint --> lint-ty["lint-ty"]
     lint --> lint-pylint["lint-pylint"]
     
     %% Documentation dependencies
@@ -95,7 +95,7 @@ graph TD
     %% Lint parallelism
     lint --> lint-black["lint-black"]:::sequential
     lint --> lint-flake8["lint-flake8"]:::sequential
-    lint --> lint-mypy["lint-mypy"]:::sequential
+    lint --> lint-ty["lint-ty"]:::sequential
     lint --> lint-pylint["lint-pylint<br/>(parallel)"]:::parallel
     
     lint-pylint --> pylint-fc["pylint-firecrown"]:::sequential
diff --git a/Makefile b/Makefile
index ed343671c..673cef812 100644
--- a/Makefile
+++ b/Makefile
@@ -8,7 +8,7 @@ SHELL := /bin/bash
 .PHONY: help format lint typecheck test test-coverage test-example test-integration test-slow \
 	test-all clean clean-docs clean-coverage docs tutorials api-docs docs-build \
 	lint-black lint-flake8 lint-pylint lint-pylint-firecrown lint-pylint-plugins \
-	lint-pylint-tests lint-pylint-examples lint-mypy pre-commit install all-checks \
+	lint-pylint-tests lint-pylint-examples lint-ty pre-commit install all-checks \
 	test-updatable test-utils test-parameters test-modeling-tools \
 	test-models-cluster test-models-two-point unit-tests test-ci test-all-coverage \
 	unit-tests-pre unit-tests-post unit-tests-core docs-generate-symbol-map \
@@ -146,7 +146,7 @@ conda-lock-check:  ## Verify generated lockfiles are up to date
 
 ##@ Linting
 
-lint: lint-black lint-flake8 lint-mypy lint-pylint  ## Run all linting tools
+lint: lint-black lint-flake8 lint-ty lint-pylint  ## Run all linting tools
 	@echo "✅ All linters passed!"
 
 lint-black:  ## Check code formatting with black
@@ -159,10 +159,10 @@ lint-flake8:  ## Run flake8 linter
 	@flake8 $(FIRECROWN_PKG_DIR)/ $(EXAMPLES_DIR)/ $(TESTS_DIR)/ || (echo "❌ flake8 failed" && exit 1)
 	@echo "✅ flake8 passed"
 
-lint-mypy:  ## Run mypy type checker
-	@echo "Running mypy..."
-	@mypy -p $(FIRECROWN_PKG_DIR) -p $(EXAMPLES_DIR) -p $(TESTS_DIR) || (echo "❌ mypy failed" && exit 1)
-	@echo "✅ mypy passed"
+lint-ty:  ## Run ty type checker
+	@echo "Running ty..."
+	@ty check || (echo "❌ ty failed" && exit 1)
+	@echo "✅ ty passed"
 
 lint-pylint: lint-pylint-firecrown lint-pylint-plugins lint-pylint-tests lint-pylint-examples ## Run all pylint checks
 	@echo "✅ All pylint checks passed!"
@@ -187,7 +187,7 @@ lint-pylint-examples:  ## Run pylint on examples
 	@pylint --rcfile $(EXAMPLES_DIR)/pylintrc $(EXAMPLES_DIR) || (echo "❌ pylint failed for examples" && exit 1)
 	@echo "✅ pylint passed for examples"
 
-typecheck: lint-mypy  ## Alias for mypy type checking
+typecheck: lint-ty  ## Alias for ty type checking
 
 ##@ Testing
 
@@ -239,7 +239,6 @@ test-models-two-point unit-tests-core test-slow test-example test-integration: |
 unit-tests-post: test-updatable test-utils test-parameters test-modeling-tools test-models-cluster test-models-two-point
 	@echo "Combining coverage data..."
 	@COVERAGE_FILE=$(UNIT_COVERAGE_COMBINED) coverage combine $(UNIT_COVERAGE_FILES)
-	@COVERAGE_FILE=$(UNIT_COVERAGE_COMBINED) coverage report
 
 test-updatable:  ## Run tests for firecrown.updatable module with coverage
 	@COVERAGE_FILE=$(UNIT_COVERAGE_UPDATABLE) $(PYTEST) tests/test_updatable.py \
diff --git a/Making_a_new_release.md b/Making_a_new_release.md
index 39fc57885..233de4424 100644
--- a/Making_a_new_release.md
+++ b/Making_a_new_release.md
@@ -5,7 +5,7 @@ This is the procedure we use for create a new release of Firecrown.
 1. Create a local branch in your clone of the repo to be used for the PR that will be started later. Name it for the new release, e.g.:  prep-v1.10. Note that this is not the branch that would be used for bug fixes. A bug fix branch would only be created at the time it becomes necessary.
 1. Make sure you have updated the `environment.yml` file to release, or force, any versioning required.
 1. Update your local conda environment using `conda env update --file environment.yml --prune -q --json`.
-1. Make sure any new directories are being processed by black, flake8, mypy, and pylint.
+1. Make sure any new directories are being processed by black, flake8, ty, and pylint.
 1. Update the version in `firecrown/version.py` (this is the ONLY file you need to edit manually).
 1. Update the tutorial version metadata by running:
 
diff --git a/docs/contrib.rst b/docs/contrib.rst
index 25dc2815a..0400dda30 100644
--- a/docs/contrib.rst
+++ b/docs/contrib.rst
@@ -63,12 +63,12 @@ Type checking
 -------------
 
 We are using type-hinting in (most of) the code, to help ensure correct use of the framework.
-We are using :bash:`mypy` to verify the code is conforming to these type hints.
+We are using :bash:`ty` to verify the code is conforming to these type hints.
 Please run:
 
 .. code:: bash
 
-    mypy -p firecrown -p examples -p tests
+    ty check
 
 and fix any errors reported before pushing commits to the GitHub repository.
 
@@ -84,4 +84,3 @@ To run the same set of tests that will be run by the CI system, use:
 
 Please note that when the CI system runs the tests, it will also ensure that all modified or newly-added code is actually tested.
 For a PR to be reviewed, it must pass this requirement.
-
diff --git a/docs/developer_installation.rst b/docs/developer_installation.rst
index d03e881a6..6a3190423 100644
--- a/docs/developer_installation.rst
+++ b/docs/developer_installation.rst
@@ -121,8 +121,8 @@ All of these are used as part of the CI system as part of the checking of all pu
     pylint firecrown
     pylint --rcfile tests/pylintrc tests
 
-    # We are using type hints and mypy to help catch type-related errors.
-    mypy -p firecrown -p examples -p tests
+    # We are using type hints and type checker to help catch type-related errors.
+    ty check
 
 Keeping your conda environment up-to-date
 =========================================
diff --git a/environment.yml b/environment.yml
index 73d07dff3..dc3c79be4 100644
--- a/environment.yml
+++ b/environment.yml
@@ -7,6 +7,7 @@ dependencies:
   - charset-normalizer
   - clmm
   - compilers
+  - conda-lock
   - cosmosis >= 3.0
   - cosmosis-build-standard-library
   - coverage
@@ -26,7 +27,6 @@ dependencies:
   - linkchecker
   - matplotlib-base
   - more-itertools
-  - mypy
   - numcosmo >= 0.21.1
   - numpy >= 2.0, < 2.4
   - pip >= 20.1  # pip is needed as dependency
@@ -57,6 +57,7 @@ dependencies:
   - sphinx-rtd-theme
   - sphinxcontrib-apidoc
   - tabulate
+  - ty == 0.0.34
   - typer
   - types-pyyaml
   - types-requests
diff --git a/examples/cluster_number_counts/generate_SDSS_ClusterCountsMass_sacc_data.py b/examples/cluster_number_counts/generate_SDSS_ClusterCountsMass_sacc_data.py
index 3cb8b6050..e6a02d456 100755
--- a/examples/cluster_number_counts/generate_SDSS_ClusterCountsMass_sacc_data.py
+++ b/examples/cluster_number_counts/generate_SDSS_ClusterCountsMass_sacc_data.py
@@ -10,6 +10,11 @@
 from numcosmo_py import Ncm
 import sacc
 
+CLUSTER_COUNTS = getattr(sacc.standard_types, "cluster_counts", "cluster_counts")
+CLUSTER_MEAN_LOG_MASS = getattr(
+    sacc.standard_types, "cluster_mean_log_mass", "cluster_mean_log_mass"
+)
+
 
 def generate_SDSSCL_sacc_file() -> None:
     """
@@ -58,9 +63,9 @@ def generate_SDSSCL_sacc_file() -> None:
         bin_richness_labels.append(bin_richness_label)
 
     #  pylint: disable-next=no-member
-    cluster_count = sacc.standard_types.cluster_counts
+    cluster_count = CLUSTER_COUNTS
     #  pylint: disable-next=no-member
-    cluster_mean_log_mass = sacc.standard_types.cluster_mean_log_mass
+    cluster_mean_log_mass = CLUSTER_MEAN_LOG_MASS
 
     counts_and_edges = zip(
         cluster_counts.flatten(), itertools.product(bin_z_labels, bin_richness_labels)
diff --git a/examples/cluster_number_counts/generate_rich_mean_mass_sacc_data_withshear.py b/examples/cluster_number_counts/generate_rich_mean_mass_sacc_data_withshear.py
index c9fa98abe..0dc28c388 100755
--- a/examples/cluster_number_counts/generate_rich_mean_mass_sacc_data_withshear.py
+++ b/examples/cluster_number_counts/generate_rich_mean_mass_sacc_data_withshear.py
@@ -15,6 +15,12 @@
 import sacc
 import pyccl as ccl
 
+CLUSTER_COUNTS = getattr(sacc.standard_types, "cluster_counts", "cluster_counts")
+CLUSTER_MEAN_LOG_MASS = getattr(
+    sacc.standard_types, "cluster_mean_log_mass", "cluster_mean_log_mass"
+)
+CLUSTER_SHEAR = getattr(sacc.standard_types, "cluster_shear", "cluster_shear")
+
 os.environ["CLMM_MODELING_BACKEND"] = "ccl"
 # pylint: disable=C0413
 import clmm  # noqa: E402
@@ -322,11 +328,11 @@ def generate_sacc_file() -> None:
         bin_radius_labels.append(bin_radius_label)
 
     #  pylint: disable-next=no-member
-    cluster_count = sacc.standard_types.cluster_counts
+    cluster_count = CLUSTER_COUNTS
     #  pylint: disable-next=no-member
-    cluster_mean_log_mass = sacc.standard_types.cluster_mean_log_mass
+    cluster_mean_log_mass = CLUSTER_MEAN_LOG_MASS
     #  pylint: disable-next=no-member
-    cluster_mean_DeltaSigma = sacc.standard_types.cluster_shear
+    cluster_mean_DeltaSigma = CLUSTER_SHEAR
 
     counts_and_edges = zip(
         cluster_counts.flatten(), itertools.product(bin_z_labels, bin_richness_labels)
diff --git a/firecrown/app/examples/_cosmic_shear.py b/firecrown/app/examples/_cosmic_shear.py
index cd9faecff..b43ecb6c3 100644
--- a/firecrown/app/examples/_cosmic_shear.py
+++ b/firecrown/app/examples/_cosmic_shear.py
@@ -293,7 +293,10 @@ def _show_covariance_config(self, table: Table) -> None:
         table.add_row("Format", "diagonal")
 
     def _create_tracers(
-        self, sacc_data: sacc.Sacc, cosmo: pyccl.Cosmology, z_range: np.ndarray
+        self,
+        sacc_data: sacc.Sacc,
+        cosmo: pyccl.Cosmology,
+        z_range: np.ndarray,
     ) -> tuple[np.ndarray, list[pyccl.WeakLensingTracer]]:
         """Create tomographic redshift bins and weak lensing tracers.
 
@@ -375,17 +378,21 @@ def _add_covariance_matrix(
         covariance = np.diag(cov_diag)
         sacc_data.add_covariance(covariance)
 
-    def generate_factory(self, output_path: Path, _sacc: Path) -> Path:
+    # pylint: disable=redefined-outer-name
+    def generate_factory(self, output_path: Path, sacc: Path) -> Path:
         """Copy cosmic shear factory template.
 
         :param output_path: Output directory
-        :param _sacc: SACC file path (unused)
+        :param sacc: SACC file path (unused)
         :return: Path to factory file
         """
+        del sacc
         output_file = output_path / f"{self.prefix}_factory.py"
         copy_template(_cosmic_shear_template, output_file)
         return output_file
 
+    # pylint: enable=redefined-outer-name
+
     def get_build_parameters(self, sacc_path: Path) -> NamedParameters:
         """Return SACC file path for likelihood construction."""
         return NamedParameters(
diff --git a/firecrown/app/examples/_sn_srd.py b/firecrown/app/examples/_sn_srd.py
index ea5077007..ed4bc762d 100644
--- a/firecrown/app/examples/_sn_srd.py
+++ b/firecrown/app/examples/_sn_srd.py
@@ -62,13 +62,16 @@ def generate_sacc(self, output_path: Path) -> Path:
         )
         return sacc_full_file
 
-    def generate_factory(self, output_path: Path, _sacc: Path) -> Path:
+    def generate_factory(
+        self, output_path: Path, sacc: Path
+    ) -> Path:  # pylint: disable=redefined-outer-name
         """Copy supernova factory template.
 
         :param output_path: Output directory
-        :param _sacc: SACC file path (unused)
+        :param sacc: SACC file path (unused)
         :return: Path to factory file
         """
+        del sacc
         output_file = output_path / f"{self.prefix}_factory.py"
         copy_template(_sn_srd_template, output_file)
         return output_file
diff --git a/firecrown/connector/numcosmo/helpers.py b/firecrown/connector/numcosmo/helpers.py
index bbb6fa3c0..c5416b132 100644
--- a/firecrown/connector/numcosmo/helpers.py
+++ b/firecrown/connector/numcosmo/helpers.py
@@ -40,7 +40,7 @@ def get_amplitude_parameters(
     A_s: float | None = None
     sigma8: float | None = None
 
-    # mypy verifies that the match statement below is exhaustive
+    # Type checker verifies that the match statement below is exhaustive
     match amplitude_parameter:
         case fac.PoweSpecAmplitudeParameter.SIGMA8:
             if p_ml is None:
diff --git a/firecrown/connector/numcosmo/numcosmo.py b/firecrown/connector/numcosmo/numcosmo.py
index e4e964d5e..53e790f4c 100644
--- a/firecrown/connector/numcosmo/numcosmo.py
+++ b/firecrown/connector/numcosmo/numcosmo.py
@@ -585,17 +585,24 @@ def do_prepare(  # pylint: disable-msg=arguments-differ
             raise_on_unused=self.likelihood.raise_on_unused_parameter,
         )
 
-    def do_m2lnL_val(self, _) -> float:  # pylint: disable-msg=arguments-differ
+    # pylint: disable=arguments-differ
+    def do_m2lnL_val(
+        self,
+        mset: Ncm.MSet,
+    ) -> float:
         """Implements the virtual method `m2lnL`.
 
         This method should calculate the value of the likelihood for
         the model set `mset`.
 
-        :param _: unused, but required by interface
+        :param mset: model set (unused)
         """
+        del mset
         loglike = self.likelihood.compute_loglike_for_sampling(self.tools)
         return -2.0 * loglike
 
+    # pylint: enable=arguments-differ
+
 
 class NumCosmoGaussCov(Ncm.DataGaussCov):
     """NumCosmoGaussCov is a subclass of Ncm.DataGaussCov.
@@ -896,15 +903,16 @@ def do_prepare(  # pylint: disable-msg=arguments-differ
             self.tools.prepare()
 
     # pylint: disable-next=arguments-differ
-    def do_mean_func(self, _, vp) -> None:
+    def do_mean_func(self, mset: Ncm.MSet, vp: Ncm.Vector) -> None:
         """Implements the virtual `Ncm.DataGaussCov` method `mean_func`.
 
         This method should compute the theoretical mean for the gaussian
         distribution.
 
-        :param _: unused, but required by interface
+        :param mset: model set (unused)
         :param vp: the vector to set
         """
+        del mset
         theory_vector = self.likelihood.compute_theory_vector(self.tools)
         vp.set_array(theory_vector)
 
diff --git a/firecrown/fctools/test_ci_local.sh b/firecrown/fctools/test_ci_local.sh
index 522eaaf99..1e1e4e32b 100755
--- a/firecrown/fctools/test_ci_local.sh
+++ b/firecrown/fctools/test_ci_local.sh
@@ -57,8 +57,8 @@ black --check firecrown tests examples
 echo "  - Running flake8..."
 flake8 firecrown examples tests
 
-echo "  - Running mypy..."
-mypy -p firecrown -p examples -p tests
+echo "  - Running ty..."
+ty check
 
 echo "  - Running pylint on firecrown..."
 pylint firecrown
@@ -84,4 +84,4 @@ python -m pytest -vv -s --example -m example tests/example
 
 echo ""
 echo "✅ Local CI test completed successfully!"
-echo "This simulates the macOS Python 3.13 matrix job (non-coverage version)"
\ No newline at end of file
+echo "This simulates the macOS Python 3.13 matrix job (non-coverage version)"
diff --git a/firecrown/likelihood/_base.py b/firecrown/likelihood/_base.py
index 502df884a..de7577506 100644
--- a/firecrown/likelihood/_base.py
+++ b/firecrown/likelihood/_base.py
@@ -382,7 +382,7 @@ def __init__(self, parameter_prefix: None | str = None):
         self.computed_theory_vector = False
         self.theory_vector: None | TheoryVector = None
 
-    def read(self, _: sacc.Sacc) -> None:
+    def read(self, sacc_data: sacc.Sacc) -> None:
         """Read the data for this statistic and mark it as ready for use.
 
         Derived classes that override this function should make sure to call the
@@ -394,8 +394,9 @@ def read(self, _: sacc.Sacc) -> None:
 
         as the last thing they do.
 
-        :param _: currently unused, but required by the interface.
+        :param sacc_data: currently unused, but required by the interface.
         """
+        del sacc_data
         assert len(self.get_data_vector()) > 0
         self.ready = True
 
@@ -566,12 +567,13 @@ def get_data_vector(self) -> DataVector:
         assert self.data_vector is not None
         return self.data_vector
 
-    def _compute_theory_vector(self, _: ModelingTools) -> TheoryVector:
+    def _compute_theory_vector(self, tools: ModelingTools) -> TheoryVector:
         """Return a fixed theory vector.
 
-        :param _: unused, but required by the interface
+        :param tools: unused, but required by the interface
         :return: A fixed theory vector
         """
+        del tools
         return TheoryVector.from_list([self.mean] * self.count)
 
 
@@ -1023,8 +1025,11 @@ def __init__(self, sacc_tracer: str, active: bool = True) -> None:
         else:
             self._transform = dndz_shift_and_stretch_passive
 
-    def apply(self, _: ModelingTools, tracer_arg: _SourceGalaxyArgsT):
+    def apply(
+        self, tools: ModelingTools, tracer_arg: _SourceGalaxyArgsT
+    ) -> _SourceGalaxyArgsT:
         """Apply a shift & stretch to the photo-z distribution of a source."""
+        del tools
         new_z, new_dndz = self._transform(
             tracer_arg.z, tracer_arg.dndz, self.delta_z, self.sigma_z
         )
diff --git a/firecrown/likelihood/_gaussfamily.py b/firecrown/likelihood/_gaussfamily.py
index 446d2bb0c..92969fa7d 100644
--- a/firecrown/likelihood/_gaussfamily.py
+++ b/firecrown/likelihood/_gaussfamily.py
@@ -95,7 +95,7 @@ def wrapper_repeat(*args: P.args, **kwargs: P.kwargs) -> T:
             succeeds.
             """
             # The odd use of args[0] instead of self seems to be the only way
-            # to have both the Python runtime and mypy agree on what is being
+            # to have both the Python runtime and type checker agree on what is being
             # passed to the method, and to allow access to the attribute
             # 'state'. Recall that the syntax:
             #       o.foo()
diff --git a/firecrown/likelihood/_two_point.py b/firecrown/likelihood/_two_point.py
index ee4c056ef..a1c726c43 100644
--- a/firecrown/likelihood/_two_point.py
+++ b/firecrown/likelihood/_two_point.py
@@ -736,7 +736,7 @@ def read_reals(
     if common_length == 0:
         return None
     sacc_indices = np.atleast_1d(sacc_data.indices(theory.sacc_data_type, tracers))
-    assert sacc_indices is not None  # Needed for mypy
+    assert sacc_indices is not None  # Needed for type checker
     assert len(sacc_indices) == common_length
     return thetas, xis, sacc_indices
 
@@ -765,7 +765,7 @@ def read_ell_cells(
     if common_length == 0:
         return None
     sacc_indices = np.atleast_1d(sacc_data.indices(theory.sacc_data_type, tracers))
-    assert sacc_indices is not None  # Needed for mypy
+    assert sacc_indices is not None  # Needed for type checker
     assert len(sacc_indices) == common_length
     return ells, cells, sacc_indices
 
diff --git a/firecrown/metadata_functions/_extraction.py b/firecrown/metadata_functions/_extraction.py
index 0fa4f6b5e..b9c41d3fd 100644
--- a/firecrown/metadata_functions/_extraction.py
+++ b/firecrown/metadata_functions/_extraction.py
@@ -29,7 +29,7 @@ def extract_all_tracers_inferred_galaxy_zdists(
     This function extracts the two-point function metadata from the Sacc object
     and returns it in a list.
     """
-    tracers: list[sacc.tracers.BaseTracer] = sacc_data.tracers.values()
+    tracers: list[sacc.tracers.BaseTracer] = list(sacc_data.tracers.values())
     tracer_types, _ = extract_all_measured_types(
         sacc_data, allow_mixed_types=allow_mixed_types
     )
diff --git a/firecrown/metadata_types/_pair_selector.py b/firecrown/metadata_types/_pair_selector.py
index 6d9a6ec34..aa67b2c41 100644
--- a/firecrown/metadata_types/_pair_selector.py
+++ b/firecrown/metadata_types/_pair_selector.py
@@ -269,12 +269,13 @@ class BadSelector(BinPairSelector):
 
     kind: str = "bad-selector"
 
-    def keep(self, _zdist: TomographicBinPair, _m: MeasurementPair) -> bool:
+    def keep(self, zdist: TomographicBinPair, m: MeasurementPair) -> bool:
         """Raise NotImplementedError always.
 
         :raise NotImplementedError: Always raised since this selector should not be
             used.
         """
+        del zdist, m
         raise NotImplementedError("BadSelector should not be used directly.")
 
 
@@ -351,7 +352,7 @@ class AutoNameBinPairSelector(BinPairSelector):
 
     kind: str = "auto-name"
 
-    def keep(self, zdist: TomographicBinPair, _m: MeasurementPair) -> bool:
+    def keep(self, zdist: TomographicBinPair, m: MeasurementPair) -> bool:
         """Return True if both bins have the same bin name.
 
         :param zdist: Pair of InferredGalaxyZDist objects.
@@ -359,6 +360,7 @@ def keep(self, zdist: TomographicBinPair, _m: MeasurementPair) -> bool:
 
         :return: True if both bins have the same name, False otherwise.
         """
+        del m
         return zdist[0].bin_name == zdist[1].bin_name
 
 
@@ -386,7 +388,7 @@ class AutoMeasurementBinPairSelector(BinPairSelector):
 
     kind: str = "auto-measurement"
 
-    def keep(self, _zdist: TomographicBinPair, m: MeasurementPair) -> bool:
+    def keep(self, zdist: TomographicBinPair, m: MeasurementPair) -> bool:
         """Return True if both measurements are the same.
 
         :param _zdist: Pair of InferredGalaxyZDist objects (unused).
@@ -394,6 +396,7 @@ def keep(self, _zdist: TomographicBinPair, m: MeasurementPair) -> bool:
 
         :return: True if both measurements are identical, False otherwise.
         """
+        del zdist
         return m[0] == m[1]
 
 
@@ -457,7 +460,7 @@ class LeftMeasurementBinPairSelector(BinPairSelector):
     kind: str = "left-measurement"
     measurement_set: set[Measurement]
 
-    def keep(self, _zdist: TomographicBinPair, m: MeasurementPair) -> bool:
+    def keep(self, zdist: TomographicBinPair, m: MeasurementPair) -> bool:
         """Return True if the left measurement is in the configured set.
 
         :param _zdist: Pair of InferredGalaxyZDist objects (unused).
@@ -465,6 +468,7 @@ def keep(self, _zdist: TomographicBinPair, m: MeasurementPair) -> bool:
 
         :return: True if the left measurement is in the set, False otherwise.
         """
+        del zdist
         return m[0] in self.measurement_set
 
 
@@ -483,7 +487,7 @@ class RightMeasurementBinPairSelector(BinPairSelector):
     kind: str = "right-measurement"
     measurement_set: set[Measurement]
 
-    def keep(self, _zdist: TomographicBinPair, m: MeasurementPair) -> bool:
+    def keep(self, zdist: TomographicBinPair, m: MeasurementPair) -> bool:
         """Return True if the right measurement is in the configured set.
 
         :param _zdist: Pair of InferredGalaxyZDist objects (unused).
@@ -491,6 +495,7 @@ def keep(self, _zdist: TomographicBinPair, m: MeasurementPair) -> bool:
 
         :return: True if the right measurement is in the set, False otherwise.
         """
+        del zdist
         return m[1] in self.measurement_set
 
 
@@ -597,7 +602,7 @@ class NameDiffBinPairSelector(BinPairSelector):
     same_name_prefix: bool = True
     neighbors_diff: int | list[int] = 1
 
-    def keep(self, zdist: TomographicBinPair, _m: MeasurementPair) -> bool:
+    def keep(self, zdist: TomographicBinPair, m: MeasurementPair) -> bool:
         """Return True if bin name indices differ by an allowed amount.
 
         Both bin names must match the pattern <text><number>. The numeric parts are
@@ -609,6 +614,7 @@ def keep(self, zdist: TomographicBinPair, _m: MeasurementPair) -> bool:
 
         :return: True if bins are neighbors, False otherwise.
         """
+        del m
         pattern = re.compile(r"^(?P<text>.*?)(?P<number>\d+)$")
         allowed_neighbors = (
             [self.neighbors_diff]
@@ -768,7 +774,7 @@ class TypeSourceBinPairSelector(BinPairSelector):
     kind: str = "type-source"
     type_source: TypeSource
 
-    def keep(self, zdist: TomographicBinPair, _m: MeasurementPair) -> bool:
+    def keep(self, zdist: TomographicBinPair, m: MeasurementPair) -> bool:
         """Return True if both bins have the same matching type-source.
 
         :param zdist: Pair of InferredGalaxyZDist objects.
@@ -776,6 +782,7 @@ def keep(self, zdist: TomographicBinPair, _m: MeasurementPair) -> bool:
 
         :return: True if both bins have matching type-sources, False otherwise.
         """
+        del m
         return (zdist[0].type_source == zdist[1].type_source) and (
             self.type_source == zdist[0].type_source
         )
diff --git a/firecrown/modeling_tools/_ccl_factory.py b/firecrown/modeling_tools/_ccl_factory.py
index 431cac704..dcb2fdbed 100644
--- a/firecrown/modeling_tools/_ccl_factory.py
+++ b/firecrown/modeling_tools/_ccl_factory.py
@@ -282,7 +282,8 @@ def _create_default(
         self, ccl_args: dict[str, Any], calculator_args: CCLCalculatorArgs | None
     ) -> pyccl.Cosmology:
         if calculator_args is not None:
-            ccl_args.update(calculator_args)
+            for key, value in calculator_args.items():
+                ccl_args[key] = value
             if ("pk_nonlin" not in ccl_args) and self.require_nonlinear_pk:
                 ccl_args["nonlinear_model"] = "halofit"
             else:
diff --git a/firecrown/models/cluster/_abundance_data.py b/firecrown/models/cluster/_abundance_data.py
index a16ca4144..fffeb2b7f 100644
--- a/firecrown/models/cluster/_abundance_data.py
+++ b/firecrown/models/cluster/_abundance_data.py
@@ -6,6 +6,11 @@
 from firecrown.models.cluster._cluster_data import ClusterData
 from firecrown.models.cluster._properties import ClusterProperty
 
+CLUSTER_COUNTS = getattr(sacc.standard_types, "cluster_counts", "cluster_counts")
+CLUSTER_MEAN_LOG_MASS = getattr(
+    sacc.standard_types, "cluster_mean_log_mass", "cluster_mean_log_mass"
+)
+
 
 class AbundanceData(ClusterData):
     """The class used to wrap a sacc file and return the cluster abundance data.
@@ -34,10 +39,10 @@ def get_observed_data_and_indices_by_survey(
 
             if cluster_property == ClusterProperty.COUNTS:
                 # pylint: disable=no-member
-                data_types.append(sacc.standard_types.cluster_counts)
+                data_types.append(CLUSTER_COUNTS)
             elif cluster_property == ClusterProperty.MASS:
                 # pylint: disable=no-member
-                data_types.append(sacc.standard_types.cluster_mean_log_mass)
+                data_types.append(CLUSTER_MEAN_LOG_MASS)
 
         data_vectors, sacc_indices = self._get_observed_data_and_indices_by_survey(
             survey_nm, data_types, 3
@@ -56,10 +61,10 @@ def get_bin_edges(
 
             if cluster_property == ClusterProperty.COUNTS:
                 # pylint: disable=no-member
-                data_type = sacc.standard_types.cluster_counts
+                data_type = CLUSTER_COUNTS
             elif cluster_property == ClusterProperty.MASS:
                 # pylint: disable=no-member
-                data_type = sacc.standard_types.cluster_mean_log_mass
+                data_type = CLUSTER_MEAN_LOG_MASS
             else:
                 continue
 
diff --git a/firecrown/models/cluster/_binning.py b/firecrown/models/cluster/_binning.py
index 361ff410f..a1d9f6565 100644
--- a/firecrown/models/cluster/_binning.py
+++ b/firecrown/models/cluster/_binning.py
@@ -5,10 +5,22 @@
 """
 
 from abc import ABC, abstractmethod
+from collections.abc import Sequence
+from typing import Protocol, cast
 
 import sacc
 
 
+class _BoundedTracer(Protocol):
+    tracer_type: str
+    lower: float
+    upper: float
+
+
+class _RadiusTracer(_BoundedTracer, Protocol):
+    center: float
+
+
 class NDimensionalBin(ABC):
     """Class which defines the interface for an N dimensional bin."""
 
@@ -40,14 +52,18 @@ def __str__(self) -> str:
 class SaccBin(NDimensionalBin):
     """An implementation of the N dimensional bin using sacc tracers."""
 
-    def __init__(self, coordinate_bins: list[sacc.BaseTracer]):
-        self.coordinate_bins = coordinate_bins
+    def __init__(self, coordinate_bins: Sequence[sacc.BaseTracer]):
+        self.coordinate_bins = list(coordinate_bins)
         self.dimension = len(coordinate_bins)
 
     @property
     def z_edges(self) -> tuple[float, float]:
         """Redshift bin edges."""
-        z_bin = [x for x in self.coordinate_bins if x.tracer_type == "bin_z"]
+        z_bin = [
+            cast(_BoundedTracer, x)
+            for x in self.coordinate_bins
+            if x.tracer_type == "bin_z"
+        ]
         if len(z_bin) != 1:
             raise ValueError("SaccBin must have exactly one z bin")
         return z_bin[0].lower, z_bin[0].upper
@@ -55,7 +71,11 @@ def z_edges(self) -> tuple[float, float]:
     @property
     def mass_proxy_edges(self) -> tuple[float, float]:
         """Mass proxy bin edges."""
-        mass_bin = [x for x in self.coordinate_bins if x.tracer_type == "bin_richness"]
+        mass_bin = [
+            cast(_BoundedTracer, x)
+            for x in self.coordinate_bins
+            if x.tracer_type == "bin_richness"
+        ]
         if len(mass_bin) != 1:
             raise ValueError("SaccBin must have exactly one richness bin")
         return mass_bin[0].lower, mass_bin[0].upper
@@ -63,7 +83,11 @@ def mass_proxy_edges(self) -> tuple[float, float]:
     @property
     def radius_edges(self) -> tuple[float, float]:
         """Radius bin edges."""
-        radius_bin = [x for x in self.coordinate_bins if x.tracer_type == "bin_radius"]
+        radius_bin = [
+            cast(_RadiusTracer, x)
+            for x in self.coordinate_bins
+            if x.tracer_type == "bin_radius"
+        ]
         if len(radius_bin) != 1:
             raise ValueError("SaccBin must have exactly one radius bin")
         return radius_bin[0].lower, radius_bin[0].upper
@@ -71,7 +95,11 @@ def radius_edges(self) -> tuple[float, float]:
     @property
     def radius_center(self) -> float:
         """Radius bin center."""
-        radius_bin = [x for x in self.coordinate_bins if x.tracer_type == "bin_radius"]
+        radius_bin = [
+            cast(_RadiusTracer, x)
+            for x in self.coordinate_bins
+            if x.tracer_type == "bin_radius"
+        ]
         if len(radius_bin) != 1:
             raise ValueError("SaccBin must have exactly one radius bin")
         return radius_bin[0].center
@@ -84,9 +112,12 @@ def __eq__(self, other: object) -> bool:
         if self.dimension != other.dimension:
             return False
 
-        for my_bin in self.coordinate_bins:
+        for my_bin_raw in self.coordinate_bins:
+            my_bin = cast(_BoundedTracer, my_bin_raw)
             other_bin = [
-                x for x in other.coordinate_bins if x.tracer_type == my_bin.tracer_type
+                cast(_BoundedTracer, x)
+                for x in other.coordinate_bins
+                if x.tracer_type == my_bin.tracer_type
             ]
 
             if my_bin.lower != other_bin[0].lower:
@@ -98,7 +129,13 @@ def __eq__(self, other: object) -> bool:
 
     def __hash__(self) -> int:
         """One bin's hash is determined by the dimension and lower/upper bound."""
-        bin_bounds = [(bin.lower, bin.upper) for bin in self.coordinate_bins]
+        bin_bounds = [
+            (
+                cast(_BoundedTracer, current_bin).lower,
+                cast(_BoundedTracer, current_bin).upper,
+            )
+            for current_bin in self.coordinate_bins
+        ]
         return hash((self.dimension, tuple(bin_bounds)))
 
 
diff --git a/firecrown/models/cluster/_deltasigma.py b/firecrown/models/cluster/_deltasigma.py
index 15fea569a..f5b111c2d 100644
--- a/firecrown/models/cluster/_deltasigma.py
+++ b/firecrown/models/cluster/_deltasigma.py
@@ -5,6 +5,8 @@
 functions that produce those predictions.
 """
 
+from typing import Any, cast
+
 import clmm  # pylint: disable=import-error
 import numpy as np
 import numpy.typing as npt
@@ -42,14 +44,16 @@ def delta_sigma(
         radius_center: float,
     ) -> npt.NDArray[np.float64]:
         """Delta sigma for clusters."""
-        cosmo_clmm = clmm.Cosmology()
+        if (clmm.Cosmology is None) or (clmm.Modeling is None):  # pragma: no cover
+            raise RuntimeError("CLMM backend is unavailable.")
+        cosmo_clmm = cast(Any, clmm.Cosmology)()
         # pylint: disable=protected-access
         cosmo_clmm._init_from_cosmo(self._cosmo)
         mass_def = self.halo_mass_function.mass_def
         mass_type = mass_def.rho_type
         if mass_type == "matter":
             mass_type = "mean"
-        moo = clmm.Modeling(
+        moo = cast(Any, clmm.Modeling)(
             massdef=mass_type,
             delta_mdef=mass_def.Delta,
             halo_profile_model="nfw",
diff --git a/firecrown/models/cluster/_deltasigma_data.py b/firecrown/models/cluster/_deltasigma_data.py
index f41175e39..027440052 100644
--- a/firecrown/models/cluster/_deltasigma_data.py
+++ b/firecrown/models/cluster/_deltasigma_data.py
@@ -6,6 +6,8 @@
 from firecrown.models.cluster._cluster_data import ClusterData
 from firecrown.models.cluster._properties import ClusterProperty
 
+CLUSTER_SHEAR = getattr(sacc.standard_types, "cluster_shear", "cluster_shear")
+
 
 class DeltaSigmaData(ClusterData):
     """The class used to wrap a sacc file and return the cluster deltasigma data.
@@ -35,12 +37,11 @@ def get_observed_data_and_indices_by_survey(
             include_prop = cluster_property & properties
             if include_prop == ClusterProperty.DELTASIGMA:
                 # pylint: disable=no-member
-                data_types.append(sacc.standard_types.cluster_shear)
+                data_types.append(CLUSTER_SHEAR)
         if not data_types:
             # pylint: disable=no-member
             raise ValueError(
-                f"The property should be related to the "
-                f"{sacc.standard_types.cluster_shear} data type."
+                f"The property should be related to the " f"{CLUSTER_SHEAR} data type."
             )
 
         data_vectors, sacc_indices = self._get_observed_data_and_indices_by_survey(
@@ -58,7 +59,7 @@ def get_bin_edges(
         if ClusterProperty.DELTASIGMA not in properties:
             raise ValueError(f"The property must be {ClusterProperty.DELTASIGMA}.")
         # pylint: disable=no-member
-        data_type = sacc.standard_types.cluster_shear
+        data_type = CLUSTER_SHEAR
         bin_combinations_for_survey = (
             self._all_bin_combinations_for_data_type_and_survey(survey_nm, data_type, 4)
         )
diff --git a/firecrown/models/cluster/_integrator.py b/firecrown/models/cluster/_integrator.py
index c4552bed2..17ad53d7e 100644
--- a/firecrown/models/cluster/_integrator.py
+++ b/firecrown/models/cluster/_integrator.py
@@ -148,9 +148,10 @@ def do_integrand(
         x: Ncm.Vector,
         dim: int,
         npoints: int,
-        _fdim: int,
+        fdim: int,
         fval: Ncm.Vector,
     ) -> None:
         """Called by NumCosmo to evaluate the integrand."""
+        del fdim
         x_array = np.array(x.dup_array()).reshape(npoints, dim)
         fval.set_array(list(self.fun(x_array, self.extra_args)))
diff --git a/firecrown/models/two_point/_power_spectrum.py b/firecrown/models/two_point/_power_spectrum.py
index d07152f25..29d011550 100644
--- a/firecrown/models/two_point/_power_spectrum.py
+++ b/firecrown/models/two_point/_power_spectrum.py
@@ -67,7 +67,7 @@ def at_least_one_tracer_has_hm(
         IA_bias_exponent = (
             1  # IA bias if not both tracers are HM (doing GI correlation).
         )
-        # mypy complains about the following line even though
+        # Type checker complains about the following line even though
         # the HMCalculator type does have a mass_def attribute.
         other_profile = pyccl.halos.HaloProfileNFW(
             mass_def=hm_calculator.mass_def,
diff --git a/firecrown/updatable/_collection.py b/firecrown/updatable/_collection.py
index 1b836b380..2162a0a63 100644
--- a/firecrown/updatable/_collection.py
+++ b/firecrown/updatable/_collection.py
@@ -3,7 +3,7 @@
 from __future__ import annotations
 from collections import UserList
 from collections.abc import Iterable
-from typing import Generic, TypeVar, cast, final
+from typing import Generic, TypeVar, SupportsIndex, cast, final
 
 from firecrown.updatable._parameters_map import ParamsMap
 from firecrown.updatable._parameters_required import RequiredParameters
@@ -119,11 +119,25 @@ def append(self, item: T) -> None:
             )
         super().append(item)
 
-    def __setitem__(self, key, value):
-        """Set self[key] to value; raise TypeError if Value is not Updatable."""
-        if not isinstance(value, Updatable):
+    def __setitem__(self, i, item) -> None:
+        """Set self[i] to item; raise TypeError if item is not Updatable."""
+        if isinstance(i, slice):
+            if not isinstance(item, Iterable):
+                raise TypeError(
+                    "Slice assignment requires an iterable of updatable items"
+                )
+            values = list(item)
+            for value_item in values:
+                if not isinstance(value_item, Updatable):
+                    raise TypeError(
+                        "Only updatable items can be appended to an "
+                        "UpdatableCollection"
+                    )
+            super().__setitem__(i, cast("Iterable[T]", values))
+            return
+
+        if not isinstance(item, Updatable):
             raise TypeError(
                 "Only updatable items can be appended to an UpdatableCollection"
             )
-
-        super().__setitem__(key, cast("T", value))
+        super().__setitem__(cast(SupportsIndex, i), cast("T", item))
diff --git a/firecrown/updatable/_utils.py b/firecrown/updatable/_utils.py
index 1d3024e25..237327f30 100644
--- a/firecrown/updatable/_utils.py
+++ b/firecrown/updatable/_utils.py
@@ -2,6 +2,7 @@
 
 from __future__ import annotations
 import warnings
+from typing import cast
 
 from firecrown.updatable._parameters_map import ParamsMap
 
@@ -62,23 +63,26 @@ def assert_updatable_interface(
     """
     overwritten = []
 
+    def recurse_children(children) -> None:
+        for child in children:
+            if not isinstance(child, (UpdatableCollection, Updatable)):
+                raise TypeError("Expected Updatable or UpdatableCollection")  # pragma: no cover
+            assert_updatable_interface(
+                cast(UpdatableProtocol, child),
+                raise_on_override=raise_on_override,
+            )
+
     my_type: type
     match obj:
         case UpdatableCollection():
             my_type = UpdatableCollection
             if recursive:
-                for item in obj:
-                    assert_updatable_interface(
-                        item, raise_on_override=raise_on_override
-                    )
+                recurse_children(obj)
         case Updatable():
             my_type = Updatable
             if recursive:
                 # pylint: disable-next=protected-access
-                for item in obj._updatables:
-                    assert_updatable_interface(
-                        item, raise_on_override=raise_on_override
-                    )
+                recurse_children(obj._updatables)
         case _:
             raise TypeError("Expected Updatable or UpdatableCollection")
 
@@ -91,7 +95,8 @@ def assert_updatable_interface(
 
     msg = f"Updatable interface methods {overwritten} were overridden"
 
-    if overwritten:
-        if raise_on_override:
-            raise TypeError(msg)
-        warnings.warn(msg, RuntimeWarning)
+    if not overwritten:
+        return
+    if raise_on_override:
+        raise TypeError(msg)
+    warnings.warn(msg, RuntimeWarning)
diff --git a/firecrown/utils/_angular_cl.py b/firecrown/utils/_angular_cl.py
index b9e1cc1de..35665aeb5 100644
--- a/firecrown/utils/_angular_cl.py
+++ b/firecrown/utils/_angular_cl.py
@@ -3,7 +3,7 @@
 import functools
 from collections.abc import Callable
 from enum import Enum, auto
-from typing import Annotated
+from typing import Annotated, Any
 
 import numpy as np
 import pyccl
@@ -18,7 +18,13 @@ class ClLimberMethod(YAMLSerializable, str, Enum):
     """This class defines Cl limber methods."""
 
     @staticmethod
-    def _generate_next_value_(name, _start, _count, _last_values):
+    def _generate_next_value_(
+        name: str,
+        start: int,
+        count: int,
+        last_values: list[Any],
+    ) -> str:
+        del start, count, last_values
         return name.lower()
 
     GSL_QAG_QUAD = auto()
@@ -38,7 +44,13 @@ class ClIntegrationMethod(YAMLSerializable, str, Enum):
     """This class defines Cl integration methods."""
 
     @staticmethod
-    def _generate_next_value_(name, _start, _count, _last_values):
+    def _generate_next_value_(
+        name: str,
+        start: int,
+        count: int,
+        last_values: list[Any],
+    ) -> str:
+        del start, count, last_values
         return name.lower()
 
     LIMBER = auto()
diff --git a/pre-commit-check b/pre-commit-check
index a45b7f876..f3f2de774 100755
--- a/pre-commit-check
+++ b/pre-commit-check
@@ -44,10 +44,10 @@ else
   exit 1
 fi
 
-if mypy -p firecrown -p examples -p tests; then
-  echo "mypy ok"
+if ty check; then
+  echo "ty ok"
 else
-  echo "mypy failed"
+  echo "ty failed"
   exit 1
 fi
 
diff --git a/pyproject.toml b/pyproject.toml
index 763afc2ba..e9e4be4c2 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -209,7 +209,7 @@ line-length = 88
 target-version = ['py311']
 extend-exclude = 'examples/srd_sn/sndata'
 
-# Pyright configuration - runs alongside mypy without conflicts
+# Pyright configuration
 [tool.pyright]
 # Include all main source directories
 include = ["firecrown", "tests", "examples"]
@@ -260,22 +260,40 @@ reportUnknownVariableType = false   # NumPy/SciPy operations create dynamic type
 reportUnnecessaryIsInstance = false
 reportUnnecessaryCast = false
 
-# Mypy configuration
-[tool.mypy]
-ignore_missing_imports = true
-check_untyped_defs = true
-exclude = "build|docs|.venv|venv|examples/srd_sn/sndata"
-warn_unused_configs = true
-warn_redundant_casts = true
-warn_unused_ignores = true
-no_implicit_optional = true
-strict_equality = true
-extra_checks = true
-disallow_subclassing_any = true
-disallow_untyped_decorators = true
-explicit_package_bases = true
-# disallow_any_generics = true
-
-[[tool.mypy.overrides]]
-module = "firecrown.connector.cobaya.*"
-disallow_subclassing_any = false
+# ty configuration
+[tool.ty.environment]
+# Check against minimum supported Python version to catch compatibility issues.
+# This is redundant with requires-python = ">=3.11" in [project], but is kept
+# explicit for clarity.
+python-version = "3.11"
+
+[tool.ty.src]
+# Include the directories to check.
+# ty check (with no arguments) uses these to determine what to check.
+include = ["firecrown", "examples", "tests"]
+# Exclude patterns (gitignore-style syntax).
+# Note: .venv and venv are already excluded by ty's built-in defaults.
+exclude = ["build", "docs", "examples/srd_sn/sndata"]
+
+[tool.ty.analysis]
+# Suppress unresolved-import errors for third-party packages that lack stubs
+allowed-unresolved-imports = [
+    "cobaya.**",
+    "cosmosis.**",
+    "fitsio.**",
+    "isitgr.**",
+    "numcosmo_py.**",
+    "pyccl.**",
+    "sacc.**",
+]
+
+[[tool.ty.overrides]]
+include = ["firecrown/connector/cobaya/**"]
+
+[tool.ty.overrides.analysis]
+# Preserve current passing behavior in the Cobaya connector with minimal effort
+replace-imports-with-any = ["cobaya.**"]
+
+[tool.ty.terminal]
+# Migration success requires zero ty warnings as well as zero ty errors
+error-on-warning = true
diff --git a/tests/conftest.py b/tests/conftest.py
index 285bb9f75..d21375cf6 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -45,6 +45,12 @@
 import firecrown.likelihood._cmb as cmb
 from firecrown.metadata_types import Clusters, CMB
 
+CLUSTER_COUNTS = getattr(sacc.standard_types, "cluster_counts", "cluster_counts")
+CLUSTER_MEAN_LOG_MASS = getattr(
+    sacc.standard_types, "cluster_mean_log_mass", "cluster_mean_log_mass"
+)
+CLUSTER_SHEAR = getattr(sacc.standard_types, "cluster_shear", "cluster_shear")
+
 # Helper function for creating AST ClassDef nodes across Python versions
 if sys.version_info >= (3, 12):
 
@@ -511,11 +517,11 @@ def fixture_harmonic_data_no_window(
 def fixture_cluster_sacc_data() -> sacc.Sacc:
     """Return a Sacc object with cluster data."""
     # pylint: disable=no-member
-    cc = sacc.standard_types.cluster_counts
+    cc = CLUSTER_COUNTS
     # pylint: disable=no-member
-    mlm = sacc.standard_types.cluster_mean_log_mass
+    mlm = CLUSTER_MEAN_LOG_MASS
     # pylint: disable=no-member
-    cs = sacc.standard_types.cluster_shear
+    cs = CLUSTER_SHEAR
 
     s = sacc.Sacc()
     s.add_tracer("survey", "my_survey", 4000)
diff --git a/tests/connector/cobaya/test_model_likelihood.py b/tests/connector/cobaya/test_model_likelihood.py
index 33c53f953..89f6a464f 100644
--- a/tests/connector/cobaya/test_model_likelihood.py
+++ b/tests/connector/cobaya/test_model_likelihood.py
@@ -2,11 +2,13 @@
 
 import types
 import sys
+from typing import cast
 from unittest import mock
 import pytest
 import numpy as np
-from cobaya.model import get_model, Model
+from cobaya.model import get_model, Model, LogPosterior
 from cobaya.log import LoggedError
+from cobaya.typing import InputDict
 from firecrown.connector.cobaya.likelihood import LikelihoodConnector
 from firecrown.likelihood._likelihood import NamedParameters
 from firecrown.likelihood._gaussian import ConstGaussian
@@ -97,9 +99,9 @@ def test_cobaya_ccl_likelihood(fiducial_params):
         "theory": {"camb": {"extra_args": {"num_massive_neutrinos": 1}}},
     }
 
-    model_fiducial = get_model(info_fiducial)
+    model_fiducial = get_model(cast(InputDict, info_fiducial))
     assert isinstance(model_fiducial, Model)
-    assert model_fiducial.logposterior({}).logpost == -3.0
+    assert cast(LogPosterior, model_fiducial.logposterior({})).logpost == -3.0
 
 
 def test_resetting_after_exception_in_log_likelihood(fiducial_params):
@@ -123,7 +125,7 @@ def test_resetting_after_exception_in_log_likelihood(fiducial_params):
         "resetting state and re-raising for Cobaya handling"
     )
 
-    model_fiducial = get_model(info_fiducial)
+    model_fiducial = get_model(cast(InputDict, info_fiducial))
     assert isinstance(model_fiducial, Model)
 
     with (
@@ -137,7 +139,7 @@ def test_resetting_after_exception_in_log_likelihood(fiducial_params):
         model_fiducial.logposterior({})
 
     # A second call should work
-    assert np.isfinite(model_fiducial.logposterior({}).logpost)
+    assert np.isfinite(cast(LogPosterior, model_fiducial.logposterior({})).logpost)
 
 
 def test_parameterized_likelihood_missing(fiducial_params):
@@ -154,7 +156,7 @@ def test_parameterized_likelihood_missing(fiducial_params):
     }
 
     with pytest.raises(KeyError):
-        _ = get_model(info_fiducial)
+        _ = get_model(cast(InputDict, info_fiducial))
 
 
 def test_parameterized_likelihood_wrong_type(fiducial_params):
@@ -174,7 +176,7 @@ def test_parameterized_likelihood_wrong_type(fiducial_params):
     with pytest.raises(
         TypeError, match="build_parameters must be a NamedParameters or dict"
     ):
-        _ = get_model(info_fiducial)
+        _ = get_model(cast(InputDict, info_fiducial))
 
 
 def test_parameterized_likelihood_dict(fiducial_params):
@@ -191,9 +193,9 @@ def test_parameterized_likelihood_dict(fiducial_params):
         "theory": {"camb": {"extra_args": {"num_massive_neutrinos": 1}}},
     }
 
-    model_fiducial = get_model(info_fiducial)
+    model_fiducial = get_model(cast(InputDict, info_fiducial))
     assert isinstance(model_fiducial, Model)
-    assert model_fiducial.logposterior({}).logpost == -1.5
+    assert cast(LogPosterior, model_fiducial.logposterior({})).logpost == -1.5
 
 
 def test_parameterized_likelihood_namedparameters(fiducial_params):
@@ -212,9 +214,9 @@ def test_parameterized_likelihood_namedparameters(fiducial_params):
         "theory": {"camb": {"extra_args": {"num_massive_neutrinos": 1}}},
     }
 
-    model_fiducial = get_model(info_fiducial)
+    model_fiducial = get_model(cast(InputDict, info_fiducial))
     assert isinstance(model_fiducial, Model)
-    assert model_fiducial.logposterior({}).logpost == -1.5
+    assert cast(LogPosterior, model_fiducial.logposterior({})).logpost == -1.5
 
 
 def test_sampler_parameter_likelihood_missing(fiducial_params):
@@ -232,7 +234,7 @@ def test_sampler_parameter_likelihood_missing(fiducial_params):
     }
 
     with pytest.raises(LoggedError, match="my_prefix_sampler_param0"):
-        _ = get_model(info_fiducial)
+        _ = get_model(cast(InputDict, info_fiducial))
 
 
 def test_sampler_parameter_likelihood(fiducial_params):
@@ -250,9 +252,9 @@ def test_sampler_parameter_likelihood(fiducial_params):
         "theory": {"camb": {"extra_args": {"num_massive_neutrinos": 1}}},
     }
 
-    model_fiducial = get_model(info_fiducial)
+    model_fiducial = get_model(cast(InputDict, info_fiducial))
     assert isinstance(model_fiducial, Model)
-    assert model_fiducial.logposterior({}).logpost == -2.1
+    assert cast(LogPosterior, model_fiducial.logposterior({})).logpost == -2.1
 
 
 def test_derived_parameter_likelihood(fiducial_params):
@@ -270,9 +272,9 @@ def test_derived_parameter_likelihood(fiducial_params):
         "theory": {"camb": {"extra_args": {"num_massive_neutrinos": 1}}},
     }
 
-    model_fiducial = get_model(info_fiducial)
+    model_fiducial = get_model(cast(InputDict, info_fiducial))
     assert isinstance(model_fiducial, Model)
-    logpost = model_fiducial.logposterior({})
+    logpost = cast(LogPosterior, model_fiducial.logposterior({}))
     assert logpost.logpost == -3.14
     assert logpost.derived[0] == 1.0
 
@@ -360,10 +362,10 @@ def test_logp_with_pure_ccl_mode():
         },
     }
 
-    model_fiducial = get_model(info_fiducial)
+    model_fiducial = get_model(cast(InputDict, info_fiducial))
     assert isinstance(model_fiducial, Model)
     # This will test the else branch in logp() method (lines 280-283)
-    logpost = model_fiducial.logposterior({})
+    logpost = cast(LogPosterior, model_fiducial.logposterior({}))
     assert logpost.logpost == -3.0
 
 
diff --git a/tests/fctools/test_coverage_to_tsv_output.py b/tests/fctools/test_coverage_to_tsv_output.py
index 6e30fbbfb..1ee4880a7 100644
--- a/tests/fctools/test_coverage_to_tsv_output.py
+++ b/tests/fctools/test_coverage_to_tsv_output.py
@@ -580,7 +580,7 @@ def test_main_direct_with_timing(tmp_path, capsys):
 
     output_file = tmp_path / "output.tsv"
 
-    # Call main directly with timing (use keyword args for mypy)
+    # Call main directly with timing (use keyword args for type checker)
     main(input_file=input_file, output_file=output_file, timing=timing_file)
 
     # Check output file was created
diff --git a/tests/likelihood/gauss_family/test_const_gaussianPM.py b/tests/likelihood/gauss_family/test_const_gaussianPM.py
index 172524151..a548e9164 100644
--- a/tests/likelihood/gauss_family/test_const_gaussianPM.py
+++ b/tests/likelihood/gauss_family/test_const_gaussianPM.py
@@ -763,7 +763,7 @@ def test_PM_correction_matrix(sacc_data):
     likelihood.read(sacc_data)
     cosmo = pyccl.CosmologyVanillaLCDM()
     likelihood.compute_pointmass(cosmo)
-    # Runtime checks to ensure inv_cov is not None for mypy
+    # Runtime checks to ensure inv_cov is not None for type checker
     assert likelihood.inv_cov is not None
     assert likelihood._pm_inv_cov_original is not None
     assert (likelihood.inv_cov != likelihood._pm_inv_cov_original).any()
diff --git a/tests/likelihood/test_likelihood.py b/tests/likelihood/test_likelihood.py
index 5a53de249..6a885fc44 100644
--- a/tests/likelihood/test_likelihood.py
+++ b/tests/likelihood/test_likelihood.py
@@ -15,7 +15,8 @@ class LikelihoodThatThrowsIntegrationError(like.Likelihood):
     def read(self, sacc_data: sacc.Sacc) -> None:
         pass
 
-    def compute_loglike(self, _: like.ModelingTools) -> float:
+    def compute_loglike(self, tools: like.ModelingTools) -> float:
+        del tools
         pyccl.pyutils.check(pyccl.lib.CCL_ERROR_INTEG)
         return -1.0
 
@@ -26,7 +27,8 @@ class LikelihoodThatThrowsUnhandledError(like.Likelihood):
     def read(self, sacc_data: sacc.Sacc) -> None:
         pass
 
-    def compute_loglike(self, _: like.ModelingTools) -> float:
+    def compute_loglike(self, tools: like.ModelingTools) -> float:
+        del tools
         pyccl.pyutils.check(pyccl.lib.CCL_ERROR_FILE_READ)
         return -1.0
 
diff --git a/tests/metadata/test_bin_pair_selector.py b/tests/metadata/test_bin_pair_selector.py
index 7fc538232..b5a38fce9 100644
--- a/tests/metadata/test_bin_pair_selector.py
+++ b/tests/metadata/test_bin_pair_selector.py
@@ -23,9 +23,8 @@ def test_pair_selector_register_missing_kind():
         class MissingBinPairSelector(mt.BinPairSelector):
             """BinPairSelector with missing kind."""
 
-            def keep(
-                self, _zdist: mt.TomographicBinPair, _m: mt.MeasurementPair
-            ) -> bool:
+            def keep(self, zdist: mt.TomographicBinPair, m: mt.MeasurementPair) -> bool:
+                del zdist, m
                 return True
 
         _ = MissingBinPairSelector(kind="foo")
@@ -40,9 +39,8 @@ class Duplicate1BinPairSelector(mt.BinPairSelector):
 
             kind: str = "foo"
 
-            def keep(
-                self, _zdist: mt.TomographicBinPair, _m: mt.MeasurementPair
-            ) -> bool:
+            def keep(self, zdist: mt.TomographicBinPair, m: mt.MeasurementPair) -> bool:
+                del zdist, m
                 return True
 
         @mt.register_bin_pair_selector
@@ -51,9 +49,8 @@ class Duplicate2BinPairSelector(mt.BinPairSelector):
 
             kind: str = "foo"
 
-            def keep(
-                self, _zdist: mt.TomographicBinPair, _m: mt.MeasurementPair
-            ) -> bool:
+            def keep(self, zdist: mt.TomographicBinPair, m: mt.MeasurementPair) -> bool:
+                del zdist, m
                 return True
 
         _ = Duplicate2BinPairSelector()
diff --git a/tests/metadata/test_metadata_two_point_sacc.py b/tests/metadata/test_metadata_two_point_sacc.py
index 17efb7c4d..2c62b2578 100644
--- a/tests/metadata/test_metadata_two_point_sacc.py
+++ b/tests/metadata/test_metadata_two_point_sacc.py
@@ -107,7 +107,7 @@ def fixture_sacc_galaxy_xis_three_tracers() -> (
     sacc_data.add_tracer("NZ", "lens1", z, dndz2)
 
     # We have to coerce the return type of np.random.normal to np.array,
-    # because mypy 1.16 is unable to infer the type of the return value.
+    # because type checker is unable to infer the type of the return value.
     xis = np.array(np.random.normal(size=thetas.shape[0]))
     for theta, xi in zip(thetas, xis):
         sacc_data.add_data_point(
@@ -140,7 +140,7 @@ def fixture_sacc_galaxy_cells_three_tracers() -> (
     sacc_data.add_tracer("NZ", "lens1", z, dndz2)
 
     # We have to coerce the return type of np.random.normal to np.array,
-    # because mypy 1.16 is unable to infer the type of the return value.
+    # because type checker is unable to infer the type of the return value.
     Cells = np.array(np.random.normal(size=ells.shape[0]))
     for ell, cell in zip(ells, Cells):
         sacc_data.add_data_point(
diff --git a/tests/models/cluster/test_abundance_data.py b/tests/models/cluster/test_abundance_data.py
index 3b0433a1d..ed71da7bb 100644
--- a/tests/models/cluster/test_abundance_data.py
+++ b/tests/models/cluster/test_abundance_data.py
@@ -7,6 +7,8 @@
     ClusterProperty,
 )
 
+CLUSTER_COUNTS = getattr(sacc.standard_types, "cluster_counts", "cluster_counts")
+
 
 def test_create_abundance_data():
     s = sacc.Sacc()
@@ -109,7 +111,7 @@ def test_observed_data_and_indices_by_survey_cluster_counts_and_mass(
 
 def test_observed_data_and_indices_no_data_throws():
     # pylint: disable=no-member
-    cc = sacc.standard_types.cluster_counts
+    cc = CLUSTER_COUNTS
 
     s = sacc.Sacc()
     s.add_tracer("survey", "my_survey", 4000)
diff --git a/tests/models/cluster/test_deltasigma_data.py b/tests/models/cluster/test_deltasigma_data.py
index 53d3c9fe8..6e6dd17bf 100644
--- a/tests/models/cluster/test_deltasigma_data.py
+++ b/tests/models/cluster/test_deltasigma_data.py
@@ -7,6 +7,8 @@
     DeltaSigmaData,
 )
 
+CLUSTER_SHEAR = getattr(sacc.standard_types, "cluster_shear", "cluster_shear")
+
 
 def test_create_deltasigma_data():
     s = sacc.Sacc()
@@ -52,7 +54,7 @@ def test_wrong_property(cluster_sacc_data: sacc.Sacc) -> None:
 def test_wrong_tracer_number(cluster_sacc_data: sacc.Sacc) -> None:
     dsd = DeltaSigmaData(cluster_sacc_data)
     # pylint: disable=no-member
-    cs = sacc.standard_types.cluster_shear
+    cs = CLUSTER_SHEAR
     tracers_n = 3
     with pytest.raises(
         ValueError,
@@ -95,7 +97,6 @@ def test_observed_data_and_indices_wrong_property():
     # pylint: disable=no-member
     with pytest.raises(
         ValueError,
-        match=f"The property should be related to the "
-        f"{sacc.standard_types.cluster_shear} data type.",
+        match=f"The property should be related to the " f"{CLUSTER_SHEAR} data type.",
     ):
         ads.get_observed_data_and_indices_by_survey("my_survey", ClusterProperty.MASS)
diff --git a/tests/models/two_point/test_interpolation.py b/tests/models/two_point/test_interpolation.py
index 940e2018e..2175fd195 100644
--- a/tests/models/two_point/test_interpolation.py
+++ b/tests/models/two_point/test_interpolation.py
@@ -1,11 +1,19 @@
 """Unit tests for the interpolation module (ApplyInterpolationWhen enum)."""
 
+from typing import Any, cast
+
 import pytest
 from pydantic import BaseModel, ValidationError
 
 from firecrown.models.two_point import ApplyInterpolationWhen
 
 
+class TestModel(BaseModel):
+    """Test model with ApplyInterpolationWhen field."""
+
+    interp: ApplyInterpolationWhen
+
+
 def test_apply_interpolation_when_none():
     """Test ApplyInterpolationWhen.NONE flag."""
     apply_interp_when = ApplyInterpolationWhen.NONE
@@ -68,65 +76,38 @@ def test_apply_interpolation_when_bitwise_or():
 def test_apply_interpolation_when_iteration():
     """Test that all ApplyInterpolationWhen values are iterable."""
     all_values = list(ApplyInterpolationWhen)
-    assert len(all_values) >= 3  # At minimum: REAL, HARMONIC, HARMONIC_WINDOW
+    assert len(all_values) >= 3
     assert ApplyInterpolationWhen.REAL in all_values
     assert ApplyInterpolationWhen.HARMONIC in all_values
     assert ApplyInterpolationWhen.HARMONIC_WINDOW in all_values
 
 
-def test_pydantic_schema_exists():
-    """Test that Pydantic core schema can be retrieved."""
-    result = ApplyInterpolationWhen.__get_pydantic_core_schema__(
-        ApplyInterpolationWhen, None  # type: ignore[arg-type]
-    )
-    assert result is not None
-
-
 def test_pydantic_model_with_apply_interpolation_when():
     """Test using ApplyInterpolationWhen in a Pydantic model."""
-
-    class TestModel(BaseModel):
-        """Test model with ApplyInterpolationWhen field."""
-
-        interp: ApplyInterpolationWhen
-
-    # Test with instance
     model1 = TestModel(interp=ApplyInterpolationWhen.REAL)
     assert model1.interp == ApplyInterpolationWhen.REAL
 
-    # Test with string
-    model2 = TestModel(interp="HARMONIC")  # type: ignore[arg-type]
+    model2 = TestModel.model_validate({"interp": "HARMONIC"})
     assert model2.interp == ApplyInterpolationWhen.HARMONIC
 
-    # Test with multiple flags
-    model3 = TestModel(interp="REAL | HARMONIC")  # type: ignore[arg-type]
+    model3 = TestModel.model_validate({"interp": "REAL | HARMONIC"})
     assert model3.interp & ApplyInterpolationWhen.REAL
     assert model3.interp & ApplyInterpolationWhen.HARMONIC
 
-    # Test with NONE
-    model4 = TestModel(interp="NONE")  # type: ignore[arg-type]
+    model4 = TestModel.model_validate({"interp": "NONE"})
     assert model4.interp == ApplyInterpolationWhen.NONE
 
 
 def test_pydantic_serialization_with_model():
     """Test serialization of ApplyInterpolationWhen in Pydantic model."""
-
-    class TestModel(BaseModel):
-        """Test model with ApplyInterpolationWhen field."""
-
-        interp: ApplyInterpolationWhen
-
-    # Test serializing NONE
     model1 = TestModel(interp=ApplyInterpolationWhen.NONE)
     data1 = model1.model_dump()
     assert data1["interp"] == "NONE"
 
-    # Test serializing single flag
     model2 = TestModel(interp=ApplyInterpolationWhen.REAL)
     data2 = model2.model_dump()
-    assert "REAL" in data2["interp"]
+    assert data2["interp"] == "REAL"
 
-    # Test serializing combined flags
     combined = ApplyInterpolationWhen.REAL | ApplyInterpolationWhen.HARMONIC
     model3 = TestModel(interp=combined)
     data3 = model3.model_dump()
@@ -136,73 +117,8 @@ class TestModel(BaseModel):
 
 def test_pydantic_validation_errors():
     """Test that invalid inputs raise proper validation errors."""
-
-    class TestModel(BaseModel):
-        """Test model with ApplyInterpolationWhen field."""
-
-        interp: ApplyInterpolationWhen
-
-    # Test invalid flag name
     with pytest.raises(ValidationError):
-        TestModel(interp="INVALID_FLAG")  # type: ignore[arg-type]
+        TestModel.model_validate({"interp": "INVALID_FLAG"})
 
-    # Test invalid type - TypeError gets wrapped in ValidationError by Pydantic
     with pytest.raises((ValidationError, TypeError)):
-        TestModel(interp=123)  # type: ignore[arg-type]
-
-
-def test_pydantic_serialize_none():
-    """Test Pydantic serialization of NONE flag."""
-    schema = ApplyInterpolationWhen.__get_pydantic_core_schema__(
-        ApplyInterpolationWhen, None  # type: ignore[arg-type]
-    )
-    # Get the serialization function from the schema
-    serialization = schema["serialization"]
-    serialize_func = serialization["function"]
-
-    result = serialize_func(ApplyInterpolationWhen.NONE)
-    assert result == "NONE"
-
-
-def test_pydantic_serialize_single_flag():
-    """Test Pydantic serialization of a single flag."""
-    schema = ApplyInterpolationWhen.__get_pydantic_core_schema__(
-        ApplyInterpolationWhen, None  # type: ignore[arg-type]
-    )
-    serialization = schema["serialization"]
-    serialize_func = serialization["function"]
-
-    result = serialize_func(ApplyInterpolationWhen.REAL)
-    assert result == "REAL"
-
-
-def test_pydantic_serialize_multiple_flags():
-    """Test Pydantic serialization of combined flags."""
-    schema = ApplyInterpolationWhen.__get_pydantic_core_schema__(
-        ApplyInterpolationWhen, None  # type: ignore[arg-type]
-    )
-    serialization = schema["serialization"]
-    serialize_func = serialization["function"]
-
-    combined = ApplyInterpolationWhen.REAL | ApplyInterpolationWhen.HARMONIC
-    result = serialize_func(combined)
-
-    # Result should contain both flags separated by pipe
-    assert "REAL" in result
-    assert "HARMONIC" in result
-    assert "|" in result
-
-
-def test_pydantic_serialize_default():
-    """Test Pydantic serialization of DEFAULT flag."""
-    schema = ApplyInterpolationWhen.__get_pydantic_core_schema__(
-        ApplyInterpolationWhen, None  # type: ignore[arg-type]
-    )
-    serialization = schema["serialization"]
-    serialize_func = serialization["function"]
-
-    result = serialize_func(ApplyInterpolationWhen.DEFAULT)
-
-    # DEFAULT = REAL | HARMONIC_WINDOW
-    assert "REAL" in result
-    assert "HARMONIC_WINDOW" in result
+        TestModel.model_validate(cast(Any, {"interp": 123}))
diff --git a/tests/test_base_likelihood.py b/tests/test_base_likelihood.py
index fa3c364e0..2cc409ba9 100644
--- a/tests/test_base_likelihood.py
+++ b/tests/test_base_likelihood.py
@@ -3,7 +3,9 @@
 """
 
 import pytest
+import sacc
 import firecrown.likelihood._likelihood as lk
+from firecrown.modeling_tools import ModelingTools
 
 
 class DefectiveLikelihood(lk.Likelihood):
@@ -12,11 +14,12 @@ class DefectiveLikelihood(lk.Likelihood):
     It is lacking the required `make_realization_vector` method.
     """
 
-    def compute_loglike(self, _):
+    def compute_loglike(self, tools: ModelingTools) -> float:
+        del tools
         return -1.0
 
-    def read(self, _):
-        pass
+    def read(self, sacc_data: sacc.Sacc) -> None:
+        del sacc_data
 
 
 def test_unimplemented_make_realization_vector():
diff --git a/tests/test_descriptors.py b/tests/test_descriptors.py
index f009db0d5..f92980fe8 100644
--- a/tests/test_descriptors.py
+++ b/tests/test_descriptors.py
@@ -227,7 +227,7 @@ def test_string_conversion_failure():
     d = HasString()
     with pytest.raises(TypeError):
         # We ignore type checking on this line because we are testing the error
-        # handling for the very type error that mypy would detect.
+        # handling for the very type error that type checker would detect.
         d.x = NotStringy()  # type: ignore
 
 
diff --git a/tests/test_pt_systematics.py b/tests/test_pt_systematics.py
index b0ea7e77c..2882df829 100644
--- a/tests/test_pt_systematics.py
+++ b/tests/test_pt_systematics.py
@@ -756,8 +756,8 @@ def test_linear_bias_systematic(tools_with_vanilla_cosmology: ModelingTools):
     nca = a.apply(tools_with_vanilla_cosmology, orig_nca)
     # Answer values determined by code inspection and hand calculation.
     expected_bias: npt.NDArray[np.float64] = np.array([0.27835299, 0.39158961])
-    assert nca.bias is not None  # needed for mypy
-    new_bias: npt.NDArray[np.float64] = nca.bias  # needed for mypy
+    assert nca.bias is not None  # needed for type checker
+    new_bias: npt.NDArray[np.float64] = nca.bias  # needed for type checker
     assert np.allclose(expected_bias, new_bias)
 
     a.reset()
diff --git a/tests/test_updatable.py b/tests/test_updatable.py
index 5cf538756..deb23210d 100644
--- a/tests/test_updatable.py
+++ b/tests/test_updatable.py
@@ -334,6 +334,28 @@ def test_updatable_collection_insertion():
         x[0] = 1
 
 
+def test_updatable_collection_slice_assignment_valid():
+    """Slice assignment of a valid list of Updatables should succeed."""
+    coll = UpdatableCollection([SimpleUpdatable(), SimpleUpdatable()])
+    coll[0:1] = [MinimalUpdatable()]
+    assert len(coll) == 2
+    assert isinstance(coll[0], MinimalUpdatable)
+
+
+def test_updatable_collection_slice_assignment_non_iterable_raises():
+    """Slice assignment of a non-iterable should raise TypeError."""
+    coll = UpdatableCollection([SimpleUpdatable()])
+    with pytest.raises(TypeError, match="iterable"):
+        coll[0:1] = 42  # type: ignore[index]
+
+
+def test_updatable_collection_slice_assignment_non_updatable_item_raises():
+    """Slice assignment containing a non-Updatable item should raise TypeError."""
+    coll = UpdatableCollection([SimpleUpdatable()])
+    with pytest.raises(TypeError, match="updatable"):
+        coll[0:1] = [object()]  # type: ignore[list-item]
+
+
 def test_set_sampler_parameter():
     my_updatable = MinimalUpdatable()
     my_param = parameters.register_new_updatable_parameter(default_value=42.0)
diff --git a/tests/test_updatable_parameters.py b/tests/test_updatable_parameters.py
index 612be3dbb..7e9c5b467 100644
--- a/tests/test_updatable_parameters.py
+++ b/tests/test_updatable_parameters.py
@@ -362,7 +362,7 @@ def test_derived_parameters_collection():
 def test_derived_parameters_collection_rejects_bad_list():
     badlist = [1, 3, 5]
     with pytest.raises(TypeError):
-        # We have to tell mypy to ignore the type error on the
+        # We have to tell type checker to ignore the type error on the
         # next line, because it is the very type error we are
         # testing.
         _ = DerivedParameterCollection(badlist)  # type: ignore
diff --git a/tutorial/_code_development_hygiene.qmd b/tutorial/_code_development_hygiene.qmd
index 81c1db2af..f981bf0f7 100644
--- a/tutorial/_code_development_hygiene.qmd
+++ b/tutorial/_code_development_hygiene.qmd
@@ -24,14 +24,14 @@ Two examples are the PEP 8 specified ordering of `import` statements and identif
   Its documentation is available at [https://flake8.pycqa.org](https://flake8.pycqa.org).
 
 We are using type annotations in Firecrown for several reasons.
-They help in the automatic generation of documentation, and when used with a tool like `mypy` they help make sure the type information in the documentation does not diverge from the code itself.
+They help in the automatic generation of documentation, and when used with a static type checker they help make sure the type information in the documentation does not diverge from the code itself.
 They help many different integrated development environments (IDEs) provide better code completion options.
 They also can be used by static type checking tools to identify some types of coding error that otherwise could only be identified through exhaustive testing.
 We strongly recommend that new code added to Firecrown should have appropriate type annotations.
-We use `mypy`[^mypy] as our static type checking tool.
+We use `ty`[^ty] as our static type checking tool.
 
-[^mypy]: Mypy is a static type checker for Python.
-  Documentation for it is found at [https://mypy.readthedocs.io](https://mypy.readthedocs.io).
+[^ty]: Ty is a static type checker for Python.
+  Documentation for it is available at [https://docs.astral.sh/ty](https://docs.astral.sh/ty).
 
 We use `pylint`[^pylint] to help identify additional categories of errors that are not detected by the other tools.
 
@@ -59,6 +59,6 @@ flake8 firecrown/ tests/ examples/
 pyline firecrown
 pylint --rcfile firecrown/models/pylintrc firecrown/models
 pylint --rcfile tests/pylintrc tests
-mypy -p firecrown -p tests -p examples
+ty check
 python -m pytest --runslow -vv --example tests
 ```
diff --git a/tutorial/introduction_to_firecrown.qmd b/tutorial/introduction_to_firecrown.qmd
index d48ae32e3..5cc3418f7 100644
--- a/tutorial/introduction_to_firecrown.qmd
+++ b/tutorial/introduction_to_firecrown.qmd
@@ -201,7 +201,7 @@ cd ${FIRECROWN_DIR}
     -   Note that this use of `black --check` does not actually change any file.
     -   If files other than those you edited are complained about by black, please file an issue.
 -   We are using `flake8` to help verify PEP8 compliance.
--   We are using type hints and `mypy` to help catch type-related errors.
+-   We are using type hints and `ty` to help catch type-related errors.
 -   We are using `pylint` to enforce a variety of rules.
 :::
 
@@ -212,7 +212,7 @@ cd ${FIRECROWN_DIR}
 ```{.bash code-copy=true}
 black --check firecrown/ examples/ tests/
 flake8 firecrown examples tests
-mypy -p firecrown -p examples -p tests
+ty check
 pylint firecrown
 pylint --rcfile firecrown/models/pylintrc firecrown/models
 pylint --rcfile pylintrc_for_tests tests
diff --git a/tutorial/systematics.qmd b/tutorial/systematics.qmd
index b2e51e798..c19eb0206 100644
--- a/tutorial/systematics.qmd
+++ b/tutorial/systematics.qmd
@@ -124,7 +124,7 @@ One concrete example is `PhotoZShift`[^2], which encapsulate a shift in the cent
 Derived from `SourceSystematic`, and defined in the same module, is the class `SourceGalaxySystematic`.
 This class includes the `apply` method which is used to apply the systematic to a source galaxy tracer argument.
 It also introduces a restriction that subclasses of `SourceGalaxySystematic` can only be applied to source galaxy tracers.[^other]
-This restriction will be enforced by the `mypy` type checker.
+This restriction will be enforced by the `type checker`.
 This is done using the Python type systems support of *generics*.[^generics]
 The goal of this restriction is to avoid having systematics intended for one variety of observation (e.g. a weak lensing source) being applied to an inappropriate other variety of observation.