Cristina Riccardi

University of Pavia

1912 Papers

5.8K Citations

Cristina Riccardi is an academic researcher from University of Pavia. The author has contributed to research in topics: Large Hadron Collider & Lepton. The author has an hindex of 129, co-authored 1627 publications. Previous affiliations of Cristina Riccardi include Université libre de Bruxelles & University of Florence.

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Papers

•Journal Article•10.1007/JHEP09(2012)029

Search for anomalous tt̄ production in the highly-boosted all-hadronic final stat

S. Chatrchyan, +2268 more

- 11 Sep 2012

- Journal of High Energy Physics

TL;DR: In this article, a search for a massive particle, referred to as a Z′, decaying into a tt pair is presented, focusing on Z′ resonances that are sufficiently massive to produce highly Lorentz-boosted top quarks.

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138

•Journal Article•10.1140/EPJC/S10052-015-3454-1

Search for a standard model Higgs boson produced in association with a top-quark pair and decaying to bottom quarks using a matrix element method

Vardan Khachatryan, +2159 more

- 09 Jun 2015

- European Physical Journal C

TL;DR: A search for a standard model Higgs boson produced in association with a top-quark pair and decaying to bottom quarks is presented and the results are presented in terms of the measured signal strength modifier.

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136

•Journal Article•10.1016/J.PHYSLETB.2017.02.010

Search for narrow resonances in dilepton mass spectra in proton–proton collisions at √s = 13 TeV and combination with 8 TeV data

Vardan Khachatryan, +2267 more

- 10 May 2017

- Physics Letters B

TL;DR: In this paper, a search for narrow resonances in dielectron and dimuon invariant mass spectra has been performed using data obtained from proton-proton collisions at $\sqrt{s}=13$ TeV collected with the CMS detector.

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135

•Journal Article•10.1088/1748-0221/5/03/T03009

Alignment of the CMS silicon tracker during commissioning with cosmic rays

S. Chatrchyan, +2464 more

- 01 Dec 2010

- Journal of Instrumentation

TL;DR: In this paper, the Pre-print version of the article can be accessed from the link below - Copyright @ 2010 IOP, and the official published version can be found in the link above.

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135

•Journal Article•10.1088/1748-0221/15/06/P06005

Identification of Heavy, Energetic, Hadronically Decaying Particles Using Machine-Learning Techniques

Albert M. Sirunyan, +2305 more

- 03 Jun 2020

- Journal of Instrumentation

TL;DR: In this article, machine learning techniques are explored to identify and classify hadronic decays of highly Lorentz-boosted W/Z/Higgs bosons and top quarks.

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134

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