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Ivan Amos Cali

Researcher at Massachusetts Institute of Technology

Publications -  1389
Citations -  95141

Ivan Amos Cali is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Large Hadron Collider & Lepton. The author has an hindex of 131, co-authored 1249 publications receiving 85657 citations. Previous affiliations of Ivan Amos Cali include University of Rochester & University of Florence.

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Comparing transverse momentum balance of b jet pairs in pp and PbPb collisions at root s(NN)=5.02 TeV

Albert M. Sirunyan, +2358 more
- 29 Mar 2018 - 
TL;DR: The transverse momentum balance of pairs of back-to-back b quark jets in PbPb and pp collisions recorded with the CMS detector at the LHC is reported as discussed by the authors.
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Search for invisible decays of the Higgs boson produced via vector boson fusion in proton-proton collisions at <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:msqrt><mml:mi>s</mml:mi></mml:msqrt><mml:mo>=</mml:mo><mml:mn>13</mml:mn><mml:mtext> </mml:mtext><mml:mtext> 

Armen Tumasyan, +2286 more
- 20 May 2022 - 
TL;DR: In this paper , a search for invisible decays of the Higgs boson produced via vector boson fusion (VBF) was performed with 101 fb−1 of proton-proton collisions delivered by the LHC at s=13 TeV and collected by the CMS detector in 2017 and 2018.
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Study of J/ψ meson production inside jets in pp collisions at s=8TeV

Albert M. Sirunyan, +2341 more
- 10 May 2020 - 
TL;DR: In this paper, a study of the production of prompt J / ψ mesons contained in jets in proton-proton collisions at s = 8 TeV is presented.
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Inclusive search for supersymmetry in pp collisions at √s=13 TeV using razor variables and boosted object identification in zero and one lepton final states

Albert M. Sirunyan, +2339 more
- 06 Mar 2019 - 
TL;DR: In this paper, an inclusive search for supersymmetry using the razor variables is performed using a data sample of proton-proton collisions corresponding to an integrated luminosity of 35.9 fb$−1}, collected with the CMS experiment in 2016 at a center-of-mass energy of $ \sqrt{s}=13 $ TeV.
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Search for supersymmetry in events with opposite-sign dileptons and missing transverse energy using an artificial neural network

S. Chatrchyan, +2172 more
- 02 Apr 2013 - 
TL;DR: In this article, an artificial neural network is employed to discriminate possible supersymmetry signals from a standard model background, and agreement is found between standard model expectation and observations, yielding limits in the context of the constrained minimal supersymmetric standard model and on a set of simplified models.