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20112023
most citedMeasurement of jet suppression in central Pb-Pb collisions at = 2.76 TeV

178 citations · 859 across the 39 of their papers we have counts for

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Showing 2021Show all

12 papers · 1 filter

hep-ex2021★ 17 cited

Measurement of inclusive charged-current $ν_{\numu}$ scattering on hydrocarbon at {<Enu>} 6 GeV with low three-momentum transfer

M. V. Ascencio, D. A. Andrade, I. Mahbub +63

The \minerva experiment reports double-differential cross-section measurements for -carbon interactions with three-momentum transfer GeV obtained with medium…

hep-ex2021★ 13 cited

Exploring Neutrino-Nucleus Interactions in the GeV Regime using MINERvA

X. -G. Lu, Z. Ahmad Dar, F. Akbar +64

With the advance of particle accelerator and detector technologies, the neutrino physics landscape is rapidly expanding. As neutrino oscillation experiments enter the intensity and…

hep-ex2021★ 12 cited

Constraining the NuMI neutrino flux using inverse muon decay reactions in MINERvA

D. Ruterbories, Z. Ahmad Dar, F. Akbar +61

Inverse muon decay, , is a reaction whose cross-section can be predicted with very small uncertainties. It has a neutrino energy threshold of GeV and…

hep-ex2021

Measurement of inclusive charged-current cross sections as a function of muon kinematics at on hydrocarbon

D. Ruterbories, A. Filkins, Z. Ahmad Dar +60

MINERvA presents a new analysis of inclusive charged-current neutrino interactions on a hydrocarbon target. We report single and double-differential cross sections in muon transver…

hep-ex2021★ 10 cited

Use of Neutrino Scattering Events with Low Hadronic Recoil to Inform Neutrino Flux and Detector Energy Scale

A. Bashyal, D. Rimal, B. Messerly +60

Charged-current neutrino interactions with low hadronic recoil ("low-nu") have a cross-section that is approximately constant versus neutrino energy. These interactions have been u…

physics.data-an2021★ 1 cited

Shower Identification in Calorimeter using Deep Learning

Yogesh Verma, Satyajit Jena

Pions constitute nearly of final state particles in ultra high energy collisions. They act as a probe to understand the statistical properties of Quantum Chromodynamics (QCD…

hep-ph2021

A unified formalism to study as well as part of the transverse momentum spectra

Rohit Gupta, Satyajit Jena

Transverse momentum spectra of final state particles produced in high energy heavy-ion collision can be divided into two distinct regions based on the difference in the under…

hep-ph2021★ 2 cited

Study of Isothermal Compressibility and Speed of Sound in the Hadronic Matter Formed in Heavy-Ion Collision using Unified Formalism

Shubahngi Jain, Rohit Gupta, Satyajit Jena

The thermodynamical quantities and response functions are useful to describe the particle production in heavy-ion collisions as they reveal crucial information about the produced s…

physics.data-an2021★ 1 cited

Jet characterization in Heavy Ion Collisions by QCD-Aware Graph Neural Networks

Yogesh Verma, Satyajit Jena

The identification of jets and their constituents is one of the key problems and challenging task in heavy ion experiments such as experiments at RHIC and LHC. The presence of huge…

hep-ph2021★ 3 cited

A unified formalism to study the pseudorapidity spectra in heavy-ion collision

Rohit Gupta, Aman Singh Katariya, Satyajit Jena

The pseudorapidity distribution of charged hadron over a wide range gives us crucial information about the dynamics of particle production. Constraint on the detector acceptanc…

hep-ph2021

A unified statistical approach to explain the transverse momentum spectra in hadron-hadron collision

Rohit Gupta, Shubhangi Jain, Satyajit Jena

Thermodynamical description of the system created during high energy collision requires a proper thermodynamical framework to study the distribution of particles. In this work, we…

hep-ex2021

Neutral pion reconstruction using machine learning in the MINERvA experiment at GeV

A. Ghosh, B. Yaeggy, R. Galindo +53

This paper presents a novel neutral-pion reconstruction that takes advantage of the machine learning technique of semantic segmentation using MINERvA data collected between 2013-20…