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Vishwajeet Jha

Researcher at Bhabha Atomic Research Centre

Publications -  460
Citations -  17256

Vishwajeet Jha is an academic researcher from Bhabha Atomic Research Centre. The author has contributed to research in topics: Large Hadron Collider & Lepton. The author has an hindex of 56, co-authored 373 publications receiving 14186 citations. Previous affiliations of Vishwajeet Jha include Université libre de Bruxelles & Tata Institute of Fundamental Research.

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Combined Measurement of the Higgs Boson Mass in pp Collisions at √s=7 and 8 TeV with the ATLAS and CMS Experiments

Georges Aad, +5120 more
- 14 May 2015 - 
TL;DR: A measurement of the Higgs boson mass is presented based on the combined data samples of the ATLAS and CMS experiments at the CERN LHC in the H→γγ and H→ZZ→4ℓ decay channels.
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Particle-flow reconstruction and global event description with the CMS detector

Albert M. Sirunyan, +2215 more
- 06 Oct 2017 - 
TL;DR: A fully-fledged particle-flow reconstruction algorithm tuned to the CMS detector was developed and has been consistently used in physics analyses for the first time at a hadron collider as mentioned in this paper.
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Event generator tunes obtained from underlying event and multiparton scattering measurements

Vardan Khachatryan, +2286 more
- 17 Mar 2016 - 
TL;DR: Combined fits to CMS UE proton–proton data at 7TeV and to UEProton–antiproton data from the CDF experiment at lower s, are used to study the UE models and constrain their parameters, providing thereby improved predictions for proton-proton collisions at 13.
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Performance of the CMS muon detector and muon reconstruction with proton-proton collisions at s=13 TeV

Albert M. Sirunyan, +2358 more
- 19 Jun 2018 - 
TL;DR: In this paper, the performance of the modified system is studied using proton-proton collision data at center-of-mass energy √s=13 TeV, collected at the LHC in 2015 and 2016.
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Extraction and validation of a new set of CMS pythia8 tunes from underlying-event measurements

Albert M. Sirunyan, +2251 more
- 03 Jan 2020 - 
TL;DR: For the first time, predictions from pythia8 obtained with tunes based on NLO or NNLO PDFs are shown to reliably describe minimum-bias and underlying-event data with a similar level of agreement to predictions from tunes using LO PDF sets.