3 papers
hep-ph2025
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…
hep-ph2025
Profile Likelihoods on ML-Steroids
Theo Heimel, Tilman Plehn, Nikita Schmal
Profile likelihoods, for instance, describing global SMEFT analyses at the LHC are numerically expensive to construct and evaluate. Especially profiled likelihoods are notoriously…
hep-ph2025
Staying on Top of SMEFT-Likelihood Analyses
Nina Elmer, Maeve Madigan, Tilman Plehn +1
We present a new global SMEFT analysis of LHC data in the top sector. After updating our set of measurements, we show how public ATLAS likelihoods can be incorporated into an exter…