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20012023
most citedObservation of a Broad Structure in the Mass Spectrum around 4.26 GeV/

744 citations · 6.5k across the 102 of their papers we have counts for

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21 papers · 1 filter

hep-ex2023★ 4 cited

Triggering Dark Showers with Conditional Dual Auto-Encoders

Luca Anzalone, Simranjit Singh Chhibra, Benedikt Maier +2

We present a family of conditional dual auto-encoders (CoDAEs) for generic and model-independent new physics searches at colliders. New physics signals, which arise from new types…

hep-ex2023★ 8 cited

Differentiable Earth Mover's Distance for Data Compression at the High-Luminosity LHC

Rohan Shenoy, Javier Duarte, Christian Herwig +5

The Earth mover's distance (EMD) is a useful metric for image recognition and classification, but its usual implementations are not differentiable or too slow to be used as a loss…

hep-ex2023★ 42 cited

Unravelling physics beyond the standard model with classical and quantum anomaly detection

Julian Schuhmacher, Laura Boggia, Vasilis Belis +7

Much hope for finding new physics phenomena at microscopic scale relies on the observations obtained from High Energy Physics experiments, like the ones performed at the Large Hadr…

hep-ex2022★ 57 cited

Evaluating generative models in high energy physics

Raghav Kansal, Anni Li, Javier Duarte +4

There has been a recent explosion in research into machine-learning-based generative modeling to tackle computational challenges for simulations in high energy physics (HEP). In or…

hep-ex2022

Lightweight Jet Reconstruction and Identification as an Object Detection Task

Adrian Alan Pol, Thea Aarrestad, Ekaterina Govorkova +8

We apply object detection techniques based on deep convolutional blocks to end-to-end jet identification and reconstruction tasks encountered at the CERN Large Hadron Collider (LHC…

hep-ex2021★ 4 cited

Jet Single Shot Detection

Adrian Alan Pol, Thea Aarrestad, Katya Govorkova +8

We apply object detection techniques based on Convolutional Neural Networks to jet reconstruction and identification at the CERN Large Hadron Collider. In particular, we focus on C…

hep-ex2020

Adversarially Learned Anomaly Detection on CMS Open Data: re-discovering the top quark

Oliver Knapp, Guenther Dissertori, Olmo Cerri +3

We apply an Adversarially Learned Anomaly Detection (ALAD) algorithm to the problem of detecting new physics processes in proton-proton collisions at the Large Hadron Collider. Ano…

hep-ex2019★ 24 cited

Particle Generative Adversarial Networks for full-event simulation at the LHC and their application to pileup description

Jesus Arjona Martinez, Thong Q Nguyen, Maurizio Pierini +2

We investigate how a Generative Adversarial Network could be used to generate a list of particle four-momenta from LHC proton collisions, allowing one to define a generative model…

hep-ex2019★ 70 cited

Interaction networks for the identification of boosted decays

Eric A. Moreno, Thong Q. Nguyen, Jean-Roch Vlimant +6

We develop an algorithm based on an interaction network to identify high-transverse-momentum Higgs bosons decaying to bottom quark-antiquark pairs and distinguish them from ordinar…

hep-ex2019★ 124 cited

JEDI-net: a jet identification algorithm based on interaction networks

Eric A. Moreno, Olmo Cerri, Javier M. Duarte +7

We investigate the performance of a jet identification algorithm based on interaction networks (JEDI-net) to identify all-hadronic decays of high-momentum heavy particles produced…

hep-ex2019★ 32 cited

LHC analysis-specific datasets with Generative Adversarial Networks

Bobak Hashemi, Nick Amin, Kaustuv Datta +2

Using generative adversarial networks (GANs), we investigate the possibility of creating large amounts of analysis-specific simulated LHC events at limited computing cost. This kin…

hep-ex2018★ 125 cited

Variational Autoencoders for New Physics Mining at the Large Hadron Collider

Olmo Cerri, Thong Q. Nguyen, Maurizio Pierini +2

Using variational autoencoders trained on known physics processes, we develop a one-sided threshold test to isolate previously unseen processes as outlier events. Since the autoenc…

hep-ex2018★ 25 cited

Topology classification with deep learning to improve real-time event selection at the LHC

Thong Q. Nguyen, Daniel Weitekamp, Dustin Anderson +5

We show how event topology classification based on deep learning could be used to improve the purity of data samples selected in real time at at the Large Hadron Collider. We consi…

hep-ex2016★ 9 cited

Study the effect of beam energy spread and detector resolution on the search for Higgs boson decays to invisible particles at a future ee circular collider

Olmo Cerri, Michele de Gruttola, Maurizio Pierini +2

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 the process $e^+e^-\to…

hep-ex2015★ 118 cited

Search for resonant t t-bar production in proton-proton collisions at sqrt(s) = 8 TeV

CMS Collaboration

A search is performed for the production of heavy resonances decaying into top-antitop quark pairs in proton-proton collisions at sqrt(s) = 8 TeV. Data used for the analyses were c…

hep-ex2013★ 429 cited

First Look at the Physics Case of TLEP

M. Bicer, H. Duran Yildiz, I. Yildiz +128

The discovery by the ATLAS and CMS experiments of a new boson with mass around 125 GeV and with measured properties compatible with those of a Standard-Model Higgs boson, coupled w…

hep-ex2009★ 63 cited

A Search for Invisible Decays of the Upsilon(1S)

The BABAR Collaboration, B. Aubert

We search for invisible decays of the Upsilon(1S) meson using a sample of 91.4 x 10^{6} Upsilon(3S) mesons collected at the BaBar/PEP-II B-factory. We select events containing the…

hep-ex2009

Search for B^0 Meson Decays to π^0 K^0_SK^0_S, ηK^0_S K^0_S, and η^{\prime}K^0_SK^0_S

The BABAR Collaboration, B. Aubert

We describe searches for meson decays to the charmless final states , , and . The data sample corresponds to $467 \times 1…

hep-ex2005★ 41 cited

A Search for the rare decay B0 --> tau+tau- at BABAR

The BABAR Collaboration, B. Aubert

We present the results of a search for the decay B0 --> tau+tau- in a data sample of (232 +- 3) x 10^6 Upsilon(4S) --> BBbar decays using the BABAR detector. Certain extensions of…

hep-ex2005★ 744 cited

Observation of a Broad Structure in the Mass Spectrum around 4.26 GeV/

The BABAR Collaboration, B. Aubert

We study initial-state radiation events, , with data collected with the BaBar detector. We observe an accumulation of events near 4.26 GeV/ in the…

hep-ex2004★ 70 cited

Observation of the Decay B=> J/psi eta K and Search for X(3872)=> J/psi eta

B. Aubert

We report the observation of the meson decay and evidence for the decay , using {90} million events collected at the $\ensuremath…