4 papers
Resummation-scale uncertainties in PDF determinations
Hamed Abdolmaleki, Valerio Bertone, Giuseppe Bozzi +7
We investigate the impact of resummation-scale variations on parton distribution function (PDF) determinations. These variations introduce an additional source of theoretical uncer…
Knowledge Distillation of a Normalising Flow for Real-Time Anomaly Detection at LHC Level-1 Trigger
Jaiman Abson, Florencia Canelli, Valentina Guglielmi +4
We present a new strategy for unsupervised anomaly detection at the hardware-based first stage of event processing (Level-1 trigger) of the Large Hadron Collider (LHC). A normalisi…
Machine learning approaches for parameter reweighting in MC samples of top quark production in CMS
Valentina Guglielmi
In particle physics, Monte Carlo (MC) event generators are needed to compare theory to the measured data. Many MC samples have to be generated to account for theoretical systematic…
Machine learning approaches for parameter reweighting in Monte-Carlo samples of top quark production in CMS
Valentina Guglielmi
In high-energy particle physics, complex Monte Carlo (MC) simulations are needed to compare theory predictions to measurable quantities. Many and large MC samples are needed to be…