Search Results - "Cerri, Olmo"

JEDI-net: a jet identification algorithm based on interaction networks by Moreno, Eric A., Cerri, Olmo, Duarte, Javier M., Newman, Harvey B., Nguyen, Thong Q., Periwal, Avikar, Pierini, Maurizio, Serikova, Aidana, Spiropulu, Maria, Vlimant, Jean-Roch

“…We investigate the performance of a jet identification algorithm based on interaction networks (JEDI-net) to identify all-hadronic decays of high-momentum…”
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Variational autoencoders for new physics mining at the Large Hadron Collider by Cerri, Olmo, Nguyen, Thong Q., Pierini, Maurizio, Spiropulu, Maria, Vlimant, Jean-Roch

“…A bstract Using variational autoencoders trained on known physics processes, we develop a one-sided threshold test to isolate previously unseen processes as…”
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New Physics Agnostic Selections For New Physics Searches by Woźniak, Kinga Anna, Cerri, Olmo, Duarte, Javier M., Möller, Torsten, Ngadiuba, Jennifer, Nguyen, Thong Q., Pierini, Maurizio, Spiropulu, Maria, Vlimant, Jean-Roch

“…We discuss a model-independent strategy for boosting new physics searches with the help of an unsupervised anomaly detection algorithm. Prior to a search, each…”
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About the rapidity and helicity distributions of the W bosons produced at LHC by Manca, Elisabetta, Cerri, Olmo, Foppiani, Nicolo, Rolandi, Gigi

“…$W$ bosons are produced at LHC from a forward-backward symmetric initial state. Their decay to a charged lepton and a neutrino has a strong spin analysing…”
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New Physics Tools for Discovery, a New Era of Timing Detector, and Lepton Flavor Universality Test at Cms by Cerri, Olmo

“…The field of particle and fundamental physics finds itself now in a peculiar situation. The established Standard Model accurately predicts most of the…”
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Variational Autoencoders for New Physics Mining at the Large Hadron Collider by Cerri, Olmo, Nguyen, Thong Q, Pierini, Maurizio, Spiropulu, Maria, Vlimant, Jean-Roch

“…J. High Energ. Phys. (2019) 2019: 36 Using variational autoencoders trained on known physics processes, we develop a one-sided threshold test to isolate…”
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Topology classification with deep learning to improve real-time event selection at the LHC by Nguyen, Thong Q, WeitekampIII, Daniel, Anderson, Dustin, Castello, Roberto, Cerri, Olmo, Pierini, Maurizio, Spiropulu, Maria, Vlimant, Jean-Roch

“…Comput Softw Big Sci (2019) 3: 12 We show how event topology classification based on deep learning could be used to improve the purity of data samples selected…”
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Pileup mitigation at the Large Hadron Collider with graph neural networks by Arjona Martínez, J., Cerri, O., Spiropulu, M., Vlimant, J. R., Pierini, M.

“… At the Large Hadron Collider, the high-transverse-momentum events studied by experimental collaborations occur in coincidence with parasitic…”
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JEDI-net: a jet identification algorithm based on interaction networks by Moreno, Eric A, Cerri, Olmo, Duarte, Javier M, Newman, Harvey B, Nguyen, Thong Q, Periwal, Avikar, Pierini, Maurizio, Serikova, Aidana, Spiropulu, Maria, Vlimant, Jean-Roch

“…Eur. Phys. J. C 80, 58 (2020) We investigate the performance of a jet identification algorithm based on interaction networks (JEDI-net) to identify…”
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Study the effect of beam energy spread and detector resolution on the search for Higgs boson decays to invisible particles at a future e$^+$e$^-$ circular collider by Cerri, Olmo, de Gruttola, Michele, Pierini, Maurizio, Podo, Alessandro, Rolandi, Gigi

“…We study the expected sensitivity to measure the branching ratio of Higgs boson decays to invisible particles at a future circular \epem collider (FCC-ee) in…”
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Study the effect of beam energy spread and detector resolution on the search for Higgs boson decays to invisible particles at a future e+e- circular collider by Cerri, Olmo, de Gruttola, Michele, Pierini, Maurizio, Podo, Alessandro, Rolandi, Gigi

“…We study the expected sensitivity to measure the branching ratio of Higgs boson decays to invisible particles at a future circular e + e - collider (FCC-ee) in…”
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Adversarially Learned Anomaly Detection on CMS open data: re-discovering the top quark by Knapp, O., Cerri, O., Dissertori, G., Nguyen, T. Q., Pierini, M., Vlimant, J. R.

“…We apply an Adversarially Learned Anomaly Detection (ALAD) algorithm to the problem of detecting new physics processes in proton–proton collisions at the Large…”
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JEDI-net: a jet identification algorithm based on interaction networks by Moreno, Eric A., Cerri, Olmo, Duarte, Javier M., Newman, Harvey B., Nguyen, Thong Q., Periwal, Avikar, Pierini, Maurizio, Serikova, Aidana, Spiropulu, Maria, Vlimant, Jean-Roch

“…Abstract We investigate the performance of a jet identification algorithm based on interaction networks (JEDI-net) to identify all-hadronic decays of…”
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About the rapidity and helicity distributions of the W bosons produced at LHC by Manca, E., Cerri, O., Foppiani, N., Rolandi, G.

“…A bstract W bosons are produced at LHC from a forward-backward symmetric initial state. Their decay to a charged lepton and a neutrino has a strong spin…”
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Topology Classification with Deep Learning to Improve Real-Time Event Selection at the LHC by Nguyen, T. Q., Weitekamp, D., Anderson, D., Castello, R., Cerri, O., Pierini, M., Spiropulu, M., Vlimant, J-R.

“…We show how an event topology classification based on deep learning could be used to improve the purity of data samples selected in real time at the Large…”
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CMS precision timing physics impact for the HL-LHC upgrade by Cerri, Olmo

“…As part of the Phase II upgrade program, the Compact Muon Solenoid (CMS) detector will incorporate a new timing layer designed to measure minimum ionizing…”
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Data Augmentation at the LHC through Analysis-specific Fast Simulation with Deep Learning by Chen, Cheng, Cerri, Olmo, Nguyen, Thong Q, Vlimant, Jean-Roch, Pierini, Maurizio

“…We present a fast simulation application based on a Deep Neural Network, designed to create large analysis-specific datasets. Taking as an example the…”
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Adversarially Learned Anomaly Detection on CMS Open Data: re-discovering the top quark by Knapp, Oliver, Dissertori, Guenther, Cerri, Olmo, Nguyen, Thong Q, Vlimant, Jean-Roch, Pierini, Maurizio

“…We apply an Adversarially Learned Anomaly Detection (ALAD) algorithm to the problem of detecting new physics processes in proton-proton collisions at the Large…”
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Pileup mitigation at the Large Hadron Collider with Graph Neural Networks by Martinez, Jesus Arjona, Cerri, Olmo, Pierini, Maurizio, Spiropulu, Maria, Vlimant, Jean-Roch

“…At the Large Hadron Collider, the high transverse-momentum events studied by experimental collaborations occur in coincidence with parasitic low…”
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Interaction networks for the identification of boosted $H\to b\overline{b}$ decays by Moreno, Eric A, Nguyen, Thong Q, Vlimant, Jean-Roch, Cerri, Olmo, Newman, Harvey B, Periwal, Avikar, Spiropulu, Maria, Duarte, Javier M, Pierini, Maurizio

“…Phys. Rev. D 102, 012010 (2020) We develop an algorithm based on an interaction network to identify high-transverse-momentum Higgs bosons decaying to bottom…”
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