Learning to isolate muons in data

Witkowski, Edmund; Nachman, Benjamin; Whiteson, Daniel

doi:10.1103/PhysRevD.108.092008

Title: Learning to isolate muons in data

Journal Article · 16 November 2023 · Physical Review. D.

DOI: https://doi.org/10.1103/PhysRevD.108.092008 · OSTI ID:2216963

;

; Whiteson, Daniel

Not Available

View Journal Article

Cite

Export

Save

Sponsoring Organization:: USDOE

Grant/Contract Number:: AC02-05CH11231

OSTI ID:: 2216963

Alternate ID(s):: OSTI ID: 2350933

Journal Information:: Physical Review. D., Journal Name: Physical Review. D. Journal Issue: 9 Vol. 108; ISSN PRVDAQ; ISSN 2470-0010

Publisher:: American Physical SocietyCopyright Statement

Country of Publication:: United States

Language:: English

References (30)

Searching for dilepton resonances below the Z mass at the LHC Hoenig, Isaac; Samach, Gabriel; Tucker-Smith, David Physical Review D, Vol. 90, Issue 7 https://doi.org/10.1103/PhysRevD.90.075016	journal	October 2014
: A statistical tool to unfold data distributions Pivk, M.; Le Diberder, F. R. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 555, Issue 1-2 https://doi.org/10.1016/j.nima.2005.08.106	journal	December 2005
Searches for electroweak production of supersymmetric particles with compressed mass spectra in s = 13 TeV p p collisions with the ATLAS detector Aad, G.; Abbott, B.; Abbott, D. C. Physical Review D, Vol. 101, Issue 5 https://doi.org/10.1103/PhysRevD.101.052005	journal	March 2020
Muon reconstruction and identification efficiency in ATLAS using the full Run 2 pp collision data set at $$\sqrt{s}=13$$ TeV Aad, G.; Abbott, B.; Abbott, D. C. The European Physical Journal C, Vol. 81, Issue 7 https://doi.org/10.1140/epjc/s10052-021-09233-2	journal	July 2021
GLSMs for exotic Grassmannians Gu, Wei; Sharpe, Eric; Zou, Hao Journal of High Energy Physics, Vol. 2020, Issue 10 https://doi.org/10.1007/JHEP10(2020)200	journal	October 2020
Search for low-mass dilepton resonances in Higgs boson decays to four-lepton final states in proton–proton collisions at $$\sqrt{s}=13\,\text {TeV} $$ Tumasyan, A.; Adam, W.; Bergauer, T. The European Physical Journal C, Vol. 82, Issue 4 https://doi.org/10.1140/epjc/s10052-022-10127-0	journal	April 2022
Searching for exotic particles in high-energy physics with deep learning Baldi, P.; Sadowski, P.; Whiteson, D. Nature Communications, Vol. 5, Issue 1 https://doi.org/10.1038/ncomms5308	journal	July 2014
Performance of the CMS muon detector and muon reconstruction with proton-proton collisions at √ s =13 TeV Sirunyan, A. M.; Tumasyan, A.; Adam, W. Journal of Instrumentation, Vol. 13, Issue 06 https://doi.org/10.1088/1748-0221/13/06/P06015	journal	June 2018
Search for supersymmetry in final states with two or three soft leptons and missing transverse momentum in proton-proton collisions at $$ \sqrt{s} $$ = 13 TeV Tumasyan, A.; Adam, W.; Andrejkovic, J. W. Journal of High Energy Physics, Vol. 2022, Issue 4 https://doi.org/10.1007/JHEP04(2022)091	journal	April 2022
Particle-flow reconstruction and global event description with the CMS detector Sirunyan, A. M.; Tumasyan, A.; Adam, W. Journal of Instrumentation, Vol. 12, Issue 10 https://doi.org/10.1088/1748-0221/12/10/P10003	journal	October 2017
Energy flow polynomials: a complete linear basis for jet substructure Komiske, Patrick T.; Metodiev, Eric M.; Thaler, Jesse Journal of High Energy Physics, Vol. 2018, Issue 4 https://doi.org/10.1007/JHEP04(2018)013	journal	April 2018
Energy flow networks: deep sets for particle jets Komiske, Patrick T.; Metodiev, Eric M.; Thaler, Jesse Journal of High Energy Physics, Vol. 2019, Issue 1 https://doi.org/10.1007/JHEP01(2019)121	journal	January 2019
Searches for low-mass dimuon resonances Aaij, R.; Abellán Beteta, C.; Ackernley, T. Journal of High Energy Physics, Vol. 2020, Issue 10 https://doi.org/10.1007/JHEP10(2020)156	journal	October 2020
Mapping machine-learned physics into a human-readable space Faucett, Taylor; Thaler, Jesse; Whiteson, Daniel Physical Review D, Vol. 103, Issue 3 https://doi.org/10.1103/PhysRevD.103.036020	journal	February 2021
Dijet Resonance Search with Weak Supervision Using s = 13 TeV p p Collisions in the ATLAS Detector Aad, G.; Abbott, B.; Abbott, D. C. Physical Review Letters, Vol. 125, Issue 13 https://doi.org/10.1103/PhysRevLett.125.131801	journal	September 2020
Search for electroweak production of supersymmetric states in scenarios with compressed mass spectra at s = 13 TeV with the ATLAS detector Aaboud, M.; Aad, G.; Abbott, B. Physical Review D, Vol. 97, Issue 5 https://doi.org/10.1103/PhysRevD.97.052010	journal	March 2018
Review of Particle Physics Progress of Theoretical and Experimental Physics, Vol. 2022, Issue 8 https://doi.org/10.1093/ptep/ptac097	journal	August 2022
Measurement of the t t ‾ b b ‾ production cross section in the all-jet final state in pp collisions at s = 13 TeV Sirunyan, A. M.; Tumasyan, A.; Adam, W. Physics Letters B, Vol. 803 https://doi.org/10.1016/j.physletb.2020.135285	journal	April 2020
A guide for deploying Deep Learning in LHC searches: How to achieve optimality and account for uncertainty Nachman, Benjamin SciPost Physics, Vol. 8, Issue 6 https://doi.org/10.21468/SciPostPhys.8.6.090	journal	January 2020
The CMS experiment at the CERN LHC Collaboration, The CMS; Chatrchyan, S.; Hmayakyan, G. Journal of Instrumentation, Vol. 3, Issue 08 https://doi.org/10.1088/1748-0221/3/08/S08004	journal	August 2008
Jet-images — deep learning edition de Oliveira, Luke; Kagan, Michael; Mackey, Lester Journal of High Energy Physics, Vol. 2016, Issue 7 https://doi.org/10.1007/JHEP07(2016)069	journal	July 2016
Anomaly Detection for Resonant New Physics with Machine Learning Collins, Jack; Howe, Kiel; Nachman, Benjamin Physical Review Letters, Vol. 121, Issue 24 https://doi.org/10.1103/PhysRevLett.121.241803	journal	December 2018
Extending the search for new resonances with machine learning Collins, Jack H.; Howe, Kiel; Nachman, Benjamin Physical Review D, Vol. 99, Issue 1 https://doi.org/10.1103/PhysRevD.99.014038	journal	January 2019
Bootstrap Methods: Another Look at the Jackknife Efron, B. The Annals of Statistics, Vol. 7, Issue 1 https://doi.org/10.1214/aos/1176344552	journal	January 1979
Search for supersymmetry in the vector-boson fusion topology in proton-proton collisions at s = 8 $$ \sqrt{s}=8 $$ TeV Khachatryan, V.; Sirunyan, A. M.; Tumasyan, A. Journal of High Energy Physics, Vol. 2015, Issue 11 https://doi.org/10.1007/JHEP11(2015)189	journal	November 2015
Classification without labels: learning from mixed samples in high energy physics Metodiev, Eric M.; Nachman, Benjamin; Thaler, Jesse Journal of High Energy Physics, Vol. 2017, Issue 10 https://doi.org/10.1007/JHEP10(2017)174	journal	October 2017
Searching in CMS open data for dimuon resonances with substantial transverse momentum Cesarotti, Cari; Soreq, Yotam; Strassler, Matthew J. Physical Review D, Vol. 100, Issue 1 https://doi.org/10.1103/PhysRevD.100.015021	journal	July 2019
Search for supersymmetry with extremely compressed spectra with the ATLAS and CMS detectors Schöfbeck, Robert Nuclear and Particle Physics Proceedings, Vol. 273-275 https://doi.org/10.1016/j.nuclphysbps.2015.09.095	journal	April 2016
Muon reconstruction performance of the ATLAS detector in proton–proton collision data at $$\sqrt{s}$$ s =13 TeV Aad, G.; Abbott, B.; Abdallah, J. The European Physical Journal C, Vol. 76, Issue 5 https://doi.org/10.1140/epjc/s10052-016-4120-y	journal	May 2016
SciPy 1.0: fundamental algorithms for scientific computing in Python Virtanen, Pauli; Gommers, Ralf; Oliphant, Travis E. Nature Methods https://doi.org/10.1038/s41592-019-0686-2	journal	February 2020

Similar Records

Muon reconstruction and identification efficiency in ATLAS using the full Run 2 $pp$ collision data set at $\sqrt{s}=13$ TeV

Journal Article · 2021 · European Physical Journal. C, Particles and Fields · OSTI ID:1818236

Aad, G.; Abbott, B.; Abbott, D. C.; +2933 more

Applications of data mining technology to enhance O and M: automatic planning of electrical isolation with deep learning - 255

Conference · 2017 · OSTI ID:23035368

Naito, Susumu; Takakura, Kei; Kuroda, Hidehiko; +1 more

Active Learning A Neural Network Model For Gold Clusters & Bulk From Sparse First Principles Training Data

Journal Article · 2020 · ChemCatChem · OSTI ID:1756631

Loeffler, Troy D.; Manna, Sukriti; Patra, Tarak K.; +3 more

Title: Learning to isolate muons in data

Citation Formats

References (30)

Similar Records

Related Subjects