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scikit-hep / pyhf

pure-Python HistFactory implementation with tensors and autodiff
https://pyhf.readthedocs.io/
Apache License 2.0
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docs: Update citations references with journal pubs through 2023-12 #2418

Closed matthewfeickert closed 9 months ago

matthewfeickert commented 9 months ago

Description

Checklist Before Requesting Reviewer

Before Merging

For the PR Assignees:

* Add use citation from 'Search for a Heavy Neutrino in \ensuremath{\tau}
  Decays at Belle'.
   - c.f. https://inspirehep.net/literature/2616299

* Add use citation from 'Probing electroweak phase transition in the singlet
  Standard Model via bbγγ and 4l channels'.
   - c.f. https://inspirehep.net/literature/2639009

* Update use citations references to include their journal publication information.

   - 'SModelS v2.3: enabling global likelihood analyses'.
     https://doi.org/10.21468/SciPostPhys.15.5.185

   - 'Boosting dark matter searches at muon colliders with machine
     learning: The mono-Higgs channel as a case study'.
     https://doi.org/10.1093/ptep/ptad144
matthewfeickert commented 9 months ago

Relevant RTD build: https://pyhf--2418.org.readthedocs.build/en/2418/citations.html#use-citations

codecov[bot] commented 9 months ago

Codecov Report

All modified and coverable lines are covered by tests :white_check_mark:

Comparison is base (4ec2cc2) 98.28% compared to head (9d61849) 98.28%.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #2418 +/- ## ======================================= Coverage 98.28% 98.28% ======================================= Files 69 69 Lines 4539 4539 Branches 803 803 ======================================= Hits 4461 4461 Misses 45 45 Partials 33 33 ``` | [Flag](https://app.codecov.io/gh/scikit-hep/pyhf/pull/2418/flags?src=pr&el=flags&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=scikit-hep) | Coverage Δ | | |---|---|---| | [contrib](https://app.codecov.io/gh/scikit-hep/pyhf/pull/2418/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=scikit-hep) | `97.86% <ø> (ø)` | | | [doctest](https://app.codecov.io/gh/scikit-hep/pyhf/pull/2418/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=scikit-hep) | `60.71% <ø> (ø)` | | | [unittests-3.10](https://app.codecov.io/gh/scikit-hep/pyhf/pull/2418/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=scikit-hep) | `96.29% <ø> (ø)` | | | [unittests-3.11](https://app.codecov.io/gh/scikit-hep/pyhf/pull/2418/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=scikit-hep) | `96.29% <ø> (ø)` | | | [unittests-3.8](https://app.codecov.io/gh/scikit-hep/pyhf/pull/2418/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=scikit-hep) | `96.32% <ø> (ø)` | | | [unittests-3.9](https://app.codecov.io/gh/scikit-hep/pyhf/pull/2418/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=scikit-hep) | `96.34% <ø> (ø)` | | Flags with carried forward coverage won't be shown. [Click here](https://docs.codecov.io/docs/carryforward-flags?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=scikit-hep#carryforward-flags-in-the-pull-request-comment) to find out more.

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