The four-lepton signal efficiencies in ATLAS's doubly charged Higgs search exceed a strict analytical ceiling, so the corrected expected mass limits are roughly 100 GeV weaker.
pyhf: pure-Python implementation of HistFactory with tensors and automatic differentiation
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
abstract
The HistFactory p.d.f. template is per-se independent of its implementation in ROOT and it is useful to be able to run statistical analysis outside of the ROOT, RooFit, RooStats framework. pyhf is a pure-Python implementation of that statistical model for multi-bin histogram-based analysis and its interval estimation is based on the asymptotic formulas of "Asymptotic formulae for likelihood-based tests of new physics". pyhf supports modern computational graph libraries such as TensorFlow, PyTorch, and JAX in order to make use of features such as auto-differentiation and GPU acceleration. In addition, pyhf's JSON serialization specification for HistFactory models has been used to publish 23 full probability models from published ATLAS collaboration analyses to HEPData.
citation-role summary
background 1
citation-polarity summary
fields
hep-ph 1years
2026 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Revised exclusion limits on doubly charged Higgs bosons from a reanalysis of the ATLAS multi-lepton search at $\sqrt{s} = 13$,TeV
The four-lepton signal efficiencies in ATLAS's doubly charged Higgs search exceed a strict analytical ceiling, so the corrected expected mass limits are roughly 100 GeV weaker.