Results 61 to 70 of about 12,486 (149)

Heavy Squarks at the LHC

open access: yes, 2011
The LHC, with its seven-fold increase in energy over the Tevatron, is capable of probing regions of SUSY parameter space exhibiting qualitatively new collider phenomenology.
A Katz   +60 more
core   +1 more source

Quark-gluon discrimination in the search for gluino pair production at the LHC

open access: yes, 2016
We study the impact of including quark- and gluon-initiated jet discrimination in the search for strongly interacting supersymmetric particles at the LHC.
Bhattacherjee, Biplob   +4 more
core   +1 more source

A step toward interpretability: smearing the likelihood

open access: yesJournal of High Energy Physics
The problem of interpretability of machine learning architecture in particle physics has no agreed-upon definition, much less any proposed solution. We present a first modest step toward these goals by proposing a definition and corresponding practical ...
Andrew J. Larkoski
doaj   +1 more source

Soft drop groomed jet angularities at the LHC

open access: yesPhysics Letters B, 2019
Jet angularities are a class of jet substructure observables where a continuous parameter is introduced in order to interpolate between different classic observables such as the jet mass and jet broadening.
Zhong-Bo Kang   +3 more
doaj   +1 more source

Learnable cut flow for high energy physics

open access: yesJournal of High Energy Physics
Neural networks have emerged as a powerful paradigm for tasks in high energy physics, yet their opaque training process renders them as a black box.
Jing Li, Hao Sun
doaj   +1 more source

Latest ALICE results of photon and jet measurements

open access: yes, 2017
Highly energetic jets and photons are complementary probes for the kinematics and the topology of nuclear collisions. Jets are collimated sprays of charged and neutral particles, which are produced in the fragmentation of hard scattered partons in an ...
Haake, Rüdiger
core  

Is infrared-collinear safe information all you need for jet classification?

open access: yesJournal of High Energy Physics
Machine learning-based jet classifiers are able to achieve impressive tagging performance in a variety of applications in high-energy and nuclear physics.
Dimitrios Athanasakos   +4 more
doaj   +1 more source

Measurement of jet-substructure observables in top quark, W boson and light jet production in proton-proton collisions at s $$ \sqrt{s} $$ = 13 TeV with the ATLAS detector

open access: yesJournal of High Energy Physics, 2019
A measurement of jet substructure observables is presented using data collected in 2016 by the ATLAS experiment at the LHC with proton-proton collisions at s $$ \sqrt{s} $$ = 13 TeV.
The ATLAS collaboration   +2931 more
doaj   +1 more source

Resummed jet mass distribution with trimming in Z+jet events at the LHC

open access: yesJournal of High Energy Physics
In this paper, we calculate the resummed jet mass distribution up to next-to-leading logarithmic accuracy for jets defined with the trimming groomer in Z+jet events at the LHC. We compute at fixed order and to all orders the large logarithms, both in the
Safa Gaid, Yazid Delenda, Rachik Soualah
doaj   +1 more source

Uncovering tau leptons-enriched semi-visible jets at the LHC. [PDF]

open access: yesEur Phys J C Part Fields, 2023
Beauchesne H   +6 more
europepmc   +1 more source

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