262 citations · 1.9k across the 49 of their papers we have counts for
49 papers
Performance of heavy-flavour jet identification in Lorentz-boosted topologies in proton-proton collisions at = 13 TeV
CMS Collaboration
Measurements in the highly Lorentz-boosted regime provoke increased interest in probing the Higgs boson properties and in searching for particles beyond the standard model at the L…
Performance of the CMS high-level trigger during LHC Run 2
CMS Collaboration
The CERN LHC provided proton and heavy ion collisions during its Run 2 operation period from 2015 to 2018. Proton-proton collisions reached a peak instantaneous luminosity of 2.1 $…
LHC Hadronic Jet Generation Using Convolutional Variational Autoencoders with Normalizing Flows
Breno Orzari, Nadezda Chernyavskaya, Raphael Cobe +7
In high energy physics, one of the most important processes for collider data analysis is the comparison of collected and simulated data. Nowadays the state-of-the-art for data gen…
Knowledge Distillation for Anomaly Detection
Adrian Alan Pol, Ekaterina Govorkova, Sonja Gronroos +5
Unsupervised deep learning techniques are widely used to identify anomalous behaviour. The performance of such methods is a product of the amount of training data and the model siz…
Automated visual inspection of CMS HGCAL silicon sensor surface using an ensemble of a deep convolutional autoencoder and classifier
Sonja Grönroos, Maurizio Pierini, Nadezda Chernyavskaya
More than a thousand 8" silicon sensors will be visually inspected to look for anomalies on their surface during the quality control preceding assembly into the High-Granularity Ca…
Di-Higgs searches at the LHC
Nadezda Chernyavskaya
An overview of the recent searches for Higgs boson pair production at the LHC was presented. The searches were based on approximately 140 of data collected by th…