331 citations · 1.6k across the 49 of their papers we have counts for
7 papers · 1 filter
Reinterpretation and preservation of data and analyses in HEP
Jon Butterworth, Sabine Kraml, Harrison Prosper +145
Data from particle physics experiments are unique and are often the result of a very large investment of resources. Given the potential scientific impact of these data, which goes…
Tagging the Higgs boson decay to bottom quarks with colour-sensitive observables and the Lund jet plane
Luca Cavallini, Andrea Coccaro, Charanjit K. Khosa +6
We study the problem of distinguishing -jets stemming from the decay of a colour singlet, such as the Higgs boson, from those originating from the abundant QCD background. In pa…
Publishing statistical models: Getting the most out of particle physics experiments
Kyle Cranmer, Sabine Kraml, Harrison B. Prosper +30
The statistical models used to derive the results of experimental analyses are of incredible scientific value and are essential information for analysis preservation and reuse. In…
Reinterpretation of LHC Results for New Physics: Status and Recommendations after Run 2
Waleed Abdallah, Shehu AbdusSalam, Azar Ahmadov +139
We report on the status of efforts to improve the reinterpretation of searches and measurements at the LHC in terms of models for new physics, in the context of the LHC Reinterpret…
Les Houches 2019 Physics at TeV Colliders: New Physics Working Group Report
G. Brooijmans, A. Buckley, S. Caron +87
This report presents the activities of the `New Physics' working group for the `Physics at TeV Colliders' workshop (Les Houches, France, 10--28 June, 2019). These activities includ…
The DNNLikelihood: enhancing likelihood distribution with Deep Learning
Andrea Coccaro, Maurizio Pierini, Luca Silvestrini +1
We introduce the DNNLikelihood, a novel framework to easily encode, through Deep Neural Networks (DNN), the full experimental information contained in complicated likelihood functi…