1 citations · 1 across the 3 of their papers we have counts for
5 papers
Search for a new heavy resonance decaying to a top quark and a neutral scalar boson in proton-proton collisions at = 13 TeV
CMS Collaboration
A first search at the LHC for a new heavy resonance decaying to a top quark and a neutral scalar boson in the fully hadronic final state is presented, where the boson is id…
Observation of the jet diffusion wake using dijets in heavy ion collisions
CMS Collaboration
Energetic quarks and gluons traversing a hot and dense quark-gluon plasma deposit energy and momentum into the medium before hadronizing to collimated sprays of particles, known as…
System-size dependence of charged-particle suppression in ultrarelativistic nucleus-nucleus collisions
CMS Collaboration
High-energy partons lose energy while propagating through the hot, strongly interacting medium produced in ultrarelativistic nucleus-nucleus collisions, leading to a suppression of…
An Evaluation of Representation Learning Methods in Particle Physics Foundation Models
Michael Chen, Raghav Kansal, Abhijith Gandrakota +3
We present a systematic evaluation of representation learning objectives for particle physics within a unified framework. Our study employs a shared transformer-based particle-clou…
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…