565 citations · 5.6k across the 116 of their papers we have counts for
60 papers · 1 filter
RINO: Renormalization Group Distillation with No Labels
Zichun Hao, Raghav Kansal, Abhijith Gandrakota +6
Supervised machine learning in high-energy physics (HEP) requires training on labeled simulations of particle collisions, which are known to be unfaithful to the underlying physics…
High Multiplicity Trigger for Long-Lived Particles in CMS detector
M. Abbott, D. Acosta, D. Aebi +100
Searches for long-lived particles (LLPs) at the CMS experiment often involve unconventional event topologies that are difficult to efficiently select using standard trigger strateg…
RINO: Renormalization Group Invariance with No Labels
Zichun Hao, Raghav Kansal, Abhijith Gandrakota +4
A common challenge with supervised machine learning (ML) in high energy physics (HEP) is the reliance on simulations for labeled data, which can often mismodel the underlying colli…
High Energy Particle Detection with Large Area Superconducting Microwire Array
Cristián Peña, Christina Wang, Si Xie +12
We present the first detailed study of an 8-channel mm WSi superconducting microwire single photon detector (SMSPD) array exposed to 120 GeV proton beam and 8 GeV…
Fast Particle-based Anomaly Detection Algorithm with Variational Autoencoder
Ryan Liu, Abhijith Gandrakota, Jennifer Ngadiuba +2
Model-agnostic anomaly detection is one of the promising approaches in the search for new beyond the standard model physics. In this paper, we present Set-VAE, a particle-based var…
Efficient and Robust Jet Tagging at the LHC with Knowledge Distillation
Ryan Liu, Abhijith Gandrakota, Jennifer Ngadiuba +2
The challenging environment of real-time data processing systems at the Large Hadron Collider (LHC) strictly limits the computational complexity of algorithms that can be deployed.…
Quantum Sensors for High Energy Physics
Aaron Chou, Kent Irwin, Reina H. Maruyama +39
Strong motivation for investing in quantum sensing arises from the need to investigate phenomena that are very weakly coupled to the matter and fields well described by the Standar…
Graph Neural Network for Object Reconstruction in Liquid Argon Time Projection Chambers
V Hewes, Adam Aurisano, Giuseppe Cerati +14
This paper presents a graph neural network (GNN) technique for low-level reconstruction of neutrino interactions in a Liquid Argon Time Projection Chamber (LArTPC). GNNs are still…
Angular analysis of the decay B K(892) in proton-proton collisions at 8 TeV
CMS Collaboration
Angular distributions of the decay B K(892) are studied using events collected with the CMS detector in 8 TeV proton-proton collisions at the L…
Particle Generative Adversarial Networks for full-event simulation at the LHC and their application to pileup description
Jesus Arjona Martinez, Thong Q Nguyen, Maurizio Pierini +2
We investigate how a Generative Adversarial Network could be used to generate a list of particle four-momenta from LHC proton collisions, allowing one to define a generative model…
Interaction networks for the identification of boosted decays
Eric A. Moreno, Thong Q. Nguyen, Jean-Roch Vlimant +6
We develop an algorithm based on an interaction network to identify high-transverse-momentum Higgs bosons decaying to bottom quark-antiquark pairs and distinguish them from ordinar…
JEDI-net: a jet identification algorithm based on interaction networks
Eric A. Moreno, Olmo Cerri, Javier M. Duarte +7
We investigate the performance of a jet identification algorithm based on interaction networks (JEDI-net) to identify all-hadronic decays of high-momentum heavy particles produced…
Variational Autoencoders for New Physics Mining at the Large Hadron Collider
Olmo Cerri, Thong Q. Nguyen, Maurizio Pierini +2
Using variational autoencoders trained on known physics processes, we develop a one-sided threshold test to isolate previously unseen processes as outlier events. Since the autoenc…
Projection for ZZZ Production Cross Section Measurements at the HL-LHC
Xiaoling Liu, Jay M. Lawhorn, Maria Spiropulu
Triple gauge boson (tri-boson) production is one of the ways to study the Quartic Gauge Couplings (QGC) and the anomalous QGC beyond the Standard Model of particle physics. In part…
Novel deep learning methods for track reconstruction
Steven Farrell, Paolo Calafiura, Mayur Mudigonda +11
For the past year, the HEP.TrkX project has been investigating machine learning solutions to LHC particle track reconstruction problems. A variety of models were studied that drew…
Identification of Long-lived Charged Particles using Time-Of-Flight Systems at the Upgraded LHC detectors
O. Cerri, S. Xie, Cristian Peña +1
We study the impact of picosecond precision timing detection systems on the LHC experiments' long-lived particle search program during the HL-LHC era. We develop algorithms that al…
Topology classification with deep learning to improve real-time event selection at the LHC
Thong Q. Nguyen, Daniel Weitekamp, Dustin Anderson +5
We show how event topology classification based on deep learning could be used to improve the purity of data samples selected in real time at at the Large Hadron Collider. We consi…
Angular analysis of the decay B K in proton-proton collisions at 8 TeV
CMS Collaboration
The angular distribution of the flavor-changing neutral current decay B K is studied in proton-proton collisions at a center-of-mass energy of 8 TeV. The analys…
Search for standard model production of four top quarks with same-sign and multilepton final states in proton-proton collisions at 13 TeV
CMS Collaboration
A search for standard model production of four top quarks ( is reported using events containing at least three lept…
Search for pair production of vector-like quarks in the bWW channel from proton-proton collisions at 13 TeV
CMS Collaboration
A search is presented for the production of vector-like quark pairs, T or Y, with electric charge of 2/3 (T) or -4/3 (Y), in proton-pr…
Suppression of excited states relative to the ground state in PbPb collisions at = 5.02 TeV
CMS Collaboration
The relative yields of mesons produced in pp and PbPb collisions at = 5.02 TeV and reconstructed via the dimuon decay channel are measured using data col…
Search for long-lived charged particles in proton-proton collisions at sqrt(s) = 13 TeV
CMS Collaboration
Results are presented of a search for heavy stable charged particles produced in proton-proton collisions at sqrt(s) = 13 TeV using a data sample corresponding to an integrated lum…
Measurement of the t-tbar production cross section in the e-mu channel in proton-proton collisions at sqrt(s) = 7 and 8 TeV
CMS Collaboration
The inclusive cross section for top quark pair production is measured in proton-proton collisions at sqrt(s) = 7 and 8 TeV, corresponding to 5.0 and 19.7 invers-femtobarns, respect…
Search for resonant t t-bar production in proton-proton collisions at sqrt(s) = 8 TeV
CMS Collaboration
A search is performed for the production of heavy resonances decaying into top-antitop quark pairs in proton-proton collisions at sqrt(s) = 8 TeV. Data used for the analyses were c…