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doc: Add page describing how to build Upper Limits table #57

Merged
merged 12 commits into from
Aug 18, 2023
3 changes: 3 additions & 0 deletions .gitignore
Original file line number Diff line number Diff line change
Expand Up @@ -133,3 +133,6 @@ _build
*.tar.gz
book/data/
book/1Lbb-likelihoods/

# Mac artifacts
.DS_Store
1 change: 1 addition & 0 deletions binder/requirements.txt
Original file line number Diff line number Diff line change
Expand Up @@ -4,6 +4,7 @@ ipywidgets~=8.0.7
ipympl~=0.9.3
pandas~=2.0.3
altair~=5.0.1
rich==12.6.0
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# jupyter notebooks
notebook>=7.0.0
jupyterlab>=4.0.3
600 changes: 600 additions & 0 deletions book/UpperLimitsTable.ipynb

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1 change: 1 addition & 0 deletions book/_toc.yml
Original file line number Diff line number Diff line change
Expand Up @@ -13,6 +13,7 @@ parts:
- file: PullPlot
- file: Toys
- file: Combinations
- file: UpperLimitsTable

- caption: More Information
chapters:
Expand Down
Binary file added book/assets/upperlimits_aread_slide1.png
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Binary file added book/assets/upperlimits_aread_slide2.png
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112 changes: 63 additions & 49 deletions book/requirements.lock
Original file line number Diff line number Diff line change
Expand Up @@ -287,6 +287,10 @@ comm==0.1.3 \
--hash=sha256:16613c6211e20223f215fc6d3b266a247b6e2641bf4e0a3ad34cb1aff2aa3f37 \
--hash=sha256:a61efa9daffcfbe66fd643ba966f846a624e4e6d6767eda9cf6e993aadaab93e
# via ipykernel
commonmark==0.9.1 \
--hash=sha256:452f9dc859be7f06631ddcb328b6919c67984aca654e5fefb3914d54691aed60 \
--hash=sha256:da2f38c92590f83de410ba1a3cbceafbc74fee9def35f9251ba9a971d6d66fd9
# via rich
contourpy==1.1.0 \
--hash=sha256:052cc634bf903c604ef1a00a5aa093c54f81a2612faedaa43295809ffdde885e \
--hash=sha256:084eaa568400cfaf7179b847ac871582199b1b44d5699198e9602ecbbb5f6104 \
Expand Down Expand Up @@ -536,9 +540,9 @@ ipympl==0.9.3 \
--hash=sha256:49bab75c05673a6881d1aaec5d8ac81d4624f73d292d154c5fb7096f10236a2b \
--hash=sha256:d113cd55891bafe9b27ef99b6dd111a87beb6bb2ae550c404292272103be8013
# via -r /home/feickert/Code/GitHub/pyhf-org/pyhf-tutorial/requirements.txt
ipython==8.14.0 \
--hash=sha256:1d197b907b6ba441b692c48cf2a3a2de280dc0ac91a3405b39349a50272ca0a1 \
--hash=sha256:248aca623f5c99a6635bc3857677b7320b9b8039f99f070ee0d20a5ca5a8e6bf
ipython==8.12.2 \
--hash=sha256:c7b80eb7f5a855a88efc971fda506ff7a91c280b42cdae26643e0f601ea281ea \
--hash=sha256:ea8801f15dfe4ffb76dea1b09b847430ffd70d827b41735c64a0638a04103bfc
# via
# ipykernel
# ipympl
Expand Down Expand Up @@ -912,32 +916,35 @@ notebook-shim==0.2.3 \
# via
# jupyterlab
# notebook
numpy==1.25.1 \
--hash=sha256:012097b5b0d00a11070e8f2e261128c44157a8689f7dedcf35576e525893f4fe \
--hash=sha256:0d3fe3dd0506a28493d82dc3cf254be8cd0d26f4008a417385cbf1ae95b54004 \
--hash=sha256:0def91f8af6ec4bb94c370e38c575855bf1d0be8a8fbfba42ef9c073faf2cf19 \
--hash=sha256:1a180429394f81c7933634ae49b37b472d343cccb5bb0c4a575ac8bbc433722f \
--hash=sha256:1d5d3c68e443c90b38fdf8ef40e60e2538a27548b39b12b73132456847f4b631 \
--hash=sha256:20e1266411120a4f16fad8efa8e0454d21d00b8c7cee5b5ccad7565d95eb42dd \
--hash=sha256:247d3ffdd7775bdf191f848be8d49100495114c82c2bd134e8d5d075fb386a1c \
--hash=sha256:35a9527c977b924042170a0887de727cd84ff179e478481404c5dc66b4170009 \
--hash=sha256:38eb6548bb91c421261b4805dc44def9ca1a6eef6444ce35ad1669c0f1a3fc5d \
--hash=sha256:3d7abcdd85aea3e6cdddb59af2350c7ab1ed764397f8eec97a038ad244d2d105 \
--hash=sha256:41a56b70e8139884eccb2f733c2f7378af06c82304959e174f8e7370af112e09 \
--hash=sha256:4a90725800caeaa160732d6b31f3f843ebd45d6b5f3eec9e8cc287e30f2805bf \
--hash=sha256:6b82655dd8efeea69dbf85d00fca40013d7f503212bc5259056244961268b66e \
--hash=sha256:6c6c9261d21e617c6dc5eacba35cb68ec36bb72adcff0dee63f8fbc899362588 \
--hash=sha256:77d339465dff3eb33c701430bcb9c325b60354698340229e1dff97745e6b3efa \
--hash=sha256:791f409064d0a69dd20579345d852c59822c6aa087f23b07b1b4e28ff5880fcb \
--hash=sha256:9a3a9f3a61480cc086117b426a8bd86869c213fc4072e606f01c4e4b66eb92bf \
--hash=sha256:c1516db588987450b85595586605742879e50dcce923e8973f79529651545b57 \
--hash=sha256:c40571fe966393b212689aa17e32ed905924120737194b5d5c1b20b9ed0fb171 \
--hash=sha256:d412c1697c3853c6fc3cb9751b4915859c7afe6a277c2bf00acf287d56c4e625 \
--hash=sha256:d5154b1a25ec796b1aee12ac1b22f414f94752c5f94832f14d8d6c9ac40bcca6 \
--hash=sha256:d736b75c3f2cb96843a5c7f8d8ccc414768d34b0a75f466c05f3a739b406f10b \
--hash=sha256:e8f6049c4878cb16960fbbfb22105e49d13d752d4d8371b55110941fb3b17800 \
--hash=sha256:f76aebc3358ade9eacf9bc2bb8ae589863a4f911611694103af05346637df1b7 \
--hash=sha256:fd67b306320dcadea700a8f79b9e671e607f8696e98ec255915c0c6d6b818503
numpy==1.24.4 \
--hash=sha256:04640dab83f7c6c85abf9cd729c5b65f1ebd0ccf9de90b270cd61935eef0197f \
--hash=sha256:1452241c290f3e2a312c137a9999cdbf63f78864d63c79039bda65ee86943f61 \
--hash=sha256:222e40d0e2548690405b0b3c7b21d1169117391c2e82c378467ef9ab4c8f0da7 \
--hash=sha256:2541312fbf09977f3b3ad449c4e5f4bb55d0dbf79226d7724211acc905049400 \
--hash=sha256:31f13e25b4e304632a4619d0e0777662c2ffea99fcae2029556b17d8ff958aef \
--hash=sha256:4602244f345453db537be5314d3983dbf5834a9701b7723ec28923e2889e0bb2 \
--hash=sha256:4979217d7de511a8d57f4b4b5b2b965f707768440c17cb70fbf254c4b225238d \
--hash=sha256:4c21decb6ea94057331e111a5bed9a79d335658c27ce2adb580fb4d54f2ad9bc \
--hash=sha256:6620c0acd41dbcb368610bb2f4d83145674040025e5536954782467100aa8835 \
--hash=sha256:692f2e0f55794943c5bfff12b3f56f99af76f902fc47487bdfe97856de51a706 \
--hash=sha256:7215847ce88a85ce39baf9e89070cb860c98fdddacbaa6c0da3ffb31b3350bd5 \
--hash=sha256:79fc682a374c4a8ed08b331bef9c5f582585d1048fa6d80bc6c35bc384eee9b4 \
--hash=sha256:7ffe43c74893dbf38c2b0a1f5428760a1a9c98285553c89e12d70a96a7f3a4d6 \
--hash=sha256:80f5e3a4e498641401868df4208b74581206afbee7cf7b8329daae82676d9463 \
--hash=sha256:95f7ac6540e95bc440ad77f56e520da5bf877f87dca58bd095288dce8940532a \
--hash=sha256:9667575fb6d13c95f1b36aca12c5ee3356bf001b714fc354eb5465ce1609e62f \
--hash=sha256:a5425b114831d1e77e4b5d812b69d11d962e104095a5b9c3b641a218abcc050e \
--hash=sha256:b4bea75e47d9586d31e892a7401f76e909712a0fd510f58f5337bea9572c571e \
--hash=sha256:b7b1fc9864d7d39e28f41d089bfd6353cb5f27ecd9905348c24187a768c79694 \
--hash=sha256:befe2bf740fd8373cf56149a5c23a0f601e82869598d41f8e188a0e9869926f8 \
--hash=sha256:c0bfb52d2169d58c1cdb8cc1f16989101639b34c7d3ce60ed70b19c63eba0b64 \
--hash=sha256:d11efb4dbecbdf22508d55e48d9c8384db795e1b7b51ea735289ff96613ff74d \
--hash=sha256:dd80e219fd4c71fc3699fc1dadac5dcf4fd882bfc6f7ec53d30fa197b8ee22dc \
--hash=sha256:e2926dac25b313635e4d6cf4dc4e51c8c0ebfed60b801c799ffc4c32bf3d1254 \
--hash=sha256:e98f220aa76ca2a977fe435f5b04d7b3470c0a2e6312907b37ba6068f26787f2 \
--hash=sha256:ed094d4f0c177b1b8e7aa9cba7d6ceed51c0e569a5318ac0ca9a090680a6a1b1 \
--hash=sha256:f136bab9c2cfd8da131132c2cf6cc27331dd6fae65f95f69dcd4ae3c3639c810 \
--hash=sha256:f3a86ed21e4f87050382c7bc96571755193c4c1392490744ac73d660e8f564a9
# via
# altair
# awkward
Expand Down Expand Up @@ -1137,6 +1144,7 @@ pygments==2.15.1 \
# ipython
# nbconvert
# pydata-sphinx-theme
# rich
# sphinx
pyhf[contrib,minuit,xmlio]==0.7.3 \
--hash=sha256:11647c79a515be65c061780fb9e06a885195fba2774c5d4ccce6da1a30781064 \
Expand Down Expand Up @@ -1319,6 +1327,10 @@ rfc3986-validator==0.1.1 \
# via
# jsonschema
# jupyter-events
rich==12.6.0 \
--hash=sha256:a4eb26484f2c82589bd9a17c73d32a010b1e29d89f1604cd9bf3a2097b81bb5e \
--hash=sha256:ba3a3775974105c221d31141f2c116f4fd65c5ceb0698657a11e9f295ec93fd0
# via -r /home/feickert/Code/GitHub/pyhf-org/pyhf-tutorial/requirements.txt
rpds-py==0.9.2 \
--hash=sha256:0173c0444bec0a3d7d848eaeca2d8bd32a1b43f3d3fde6617aac3731fa4be05f \
--hash=sha256:01899794b654e616c8625b194ddd1e5b51ef5b60ed61baa7a2d9c2ad7b2a4238 \
Expand Down Expand Up @@ -1420,26 +1432,28 @@ rpds-py==0.9.2 \
# via
# jsonschema
# referencing
scipy==1.11.1 \
--hash=sha256:08d957ca82d3535b3b9ba6c8ff355d78fe975271874e2af267cb5add5bd78625 \
--hash=sha256:249cfa465c379c9bb2c20123001e151ff5e29b351cbb7f9c91587260602c58d0 \
--hash=sha256:366a6a937110d80dca4f63b3f5b00cc89d36f678b2d124a01067b154e692bab1 \
--hash=sha256:39154437654260a52871dfde852adf1b93b1d1bc5dc0ffa70068f16ec0be2624 \
--hash=sha256:396fae3f8c12ad14c5f3eb40499fd06a6fef8393a6baa352a652ecd51e74e029 \
--hash=sha256:3b9963798df1d8a52db41a6fc0e6fa65b1c60e85d73da27ae8bb754de4792481 \
--hash=sha256:3e8eb42db36526b130dfbc417609498a6192381abc1975b91e3eb238e0b41c1a \
--hash=sha256:512fdc18c65f76dadaca139348e525646d440220d8d05f6d21965b8d4466bccd \
--hash=sha256:aec8c62fbe52914f9cf28d846cf0401dd80ab80788bbab909434eb336ed07c04 \
--hash=sha256:b41a0f322b4eb51b078cb3441e950ad661ede490c3aca66edef66f4b37ab1877 \
--hash=sha256:b4bb943010203465ac81efa392e4645265077b4d9e99b66cf3ed33ae12254173 \
--hash=sha256:b588311875c58d1acd4ef17c983b9f1ab5391755a47c3d70b6bd503a45bfaf71 \
--hash=sha256:ba94eeef3c9caa4cea7b402a35bb02a5714ee1ee77eb98aca1eed4543beb0f4c \
--hash=sha256:be8c962a821957fdde8c4044efdab7a140c13294997a407eaee777acf63cbf0c \
--hash=sha256:cce154372f0ebe88556ed06d7b196e9c2e0c13080ecb58d0f35062dc7cc28b47 \
--hash=sha256:d51565560565a0307ed06fa0ec4c6f21ff094947d4844d6068ed04400c72d0c3 \
--hash=sha256:e866514bc2d660608447b6ba95c8900d591f2865c07cca0aa4f7ff3c4ca70f30 \
--hash=sha256:fb5b492fa035334fd249f0973cc79ecad8b09c604b42a127a677b45a9a3d4289 \
--hash=sha256:ffb28e3fa31b9c376d0fb1f74c1f13911c8c154a760312fbee87a21eb21efe31
scipy==1.10.1 \
--hash=sha256:049a8bbf0ad95277ffba9b3b7d23e5369cc39e66406d60422c8cfef40ccc8415 \
--hash=sha256:07c3457ce0b3ad5124f98a86533106b643dd811dd61b548e78cf4c8786652f6f \
--hash=sha256:0f1564ea217e82c1bbe75ddf7285ba0709ecd503f048cb1236ae9995f64217bd \
--hash=sha256:1553b5dcddd64ba9a0d95355e63fe6c3fc303a8fd77c7bc91e77d61363f7433f \
--hash=sha256:15a35c4242ec5f292c3dd364a7c71a61be87a3d4ddcc693372813c0b73c9af1d \
--hash=sha256:1b4735d6c28aad3cdcf52117e0e91d6b39acd4272f3f5cd9907c24ee931ad601 \
--hash=sha256:2cf9dfb80a7b4589ba4c40ce7588986d6d5cebc5457cad2c2880f6bc2d42f3a5 \
--hash=sha256:39becb03541f9e58243f4197584286e339029e8908c46f7221abeea4b749fa88 \
--hash=sha256:43b8e0bcb877faf0abfb613d51026cd5cc78918e9530e375727bf0625c82788f \
--hash=sha256:4b3f429188c66603a1a5c549fb414e4d3bdc2a24792e061ffbd607d3d75fd84e \
--hash=sha256:4c0ff64b06b10e35215abce517252b375e580a6125fd5fdf6421b98efbefb2d2 \
--hash=sha256:51af417a000d2dbe1ec6c372dfe688e041a7084da4fdd350aeb139bd3fb55353 \
--hash=sha256:5678f88c68ea866ed9ebe3a989091088553ba12c6090244fdae3e467b1139c35 \
--hash=sha256:79c8e5a6c6ffaf3a2262ef1be1e108a035cf4f05c14df56057b64acc5bebffb6 \
--hash=sha256:7ff7f37b1bf4417baca958d254e8e2875d0cc23aaadbe65b3d5b3077b0eb23ea \
--hash=sha256:aaea0a6be54462ec027de54fca511540980d1e9eea68b2d5c1dbfe084797be35 \
--hash=sha256:bce5869c8d68cf383ce240e44c1d9ae7c06078a9396df68ce88a1230f93a30c1 \
--hash=sha256:cd9f1027ff30d90618914a64ca9b1a77a431159df0e2a195d8a9e8a04c78abf9 \
--hash=sha256:d925fa1c81b772882aa55bcc10bf88324dadb66ff85d548c71515f6689c6dac5 \
--hash=sha256:e7354fd7527a4b0377ce55f286805b34e8c54b91be865bac273f527e1b839019 \
--hash=sha256:fae8a7b898c42dffe3f7361c40d5952b6bf32d10c4569098d276b4c547905ee1
# via pyhf
send2trash==1.8.2 \
--hash=sha256:a384719d99c07ce1eefd6905d2decb6f8b7ed054025bb0e618919f945de4f679 \
Expand Down