Morphing one dataset into another with maximum likelihood estimation

Golling, Tobias; Klein, Samuel; Mastandrea, Radha; Nachman, Benjamin; Raine, John Andrew

doi:10.1103/PhysRevD.108.096018

Title: Morphing one dataset into another with maximum likelihood estimation

Journal Article · 20 November 2023 · Physical Review. D.

DOI: https://doi.org/10.1103/PhysRevD.108.096018 · OSTI ID:2217387

;

Not Available

View Journal Article

Cite

Export

Save

Sponsoring Organization:: USDOE

Grant/Contract Number:: AC02-05CH11231

OSTI ID:: 2217387

Alternate ID(s):: OSTI ID: 2350934

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 (19)

The LHC Olympics 2020 a community challenge for anomaly detection in high energy physics Kasieczka, Gregor; Nachman, Benjamin; Shih, David Reports on Progress in Physics, Vol. 84, Issue 12 https://doi.org/10.1088/1361-6633/ac36b9	journal	December 2021
Identifying boosted objects with N-subjettiness Thaler, Jesse; Van Tilburg, Ken Journal of High Energy Physics, Vol. 2011, Issue 3 https://doi.org/10.1007/JHEP03(2011)015	journal	March 2011
Density Ratio Estimation in Machine Learning Sugiyama, Masashi; Suzuki, Taiji; Kanamori, Takafumi https://doi.org/10.1017/CBO9781139035613		March 2012
Classifying anomalies through outer density estimation Hallin, Anna; Isaacson, Joshua; Kasieczka, Gregor Physical Review D, Vol. 106, Issue 5 https://doi.org/10.1103/PhysRevD.106.055006	journal	September 2022
Event Generation and Density Estimation with Surjective Normalizing Flows Verheyen, Rob SciPost Physics, Vol. 13, Issue 3 https://doi.org/10.21468/SciPostPhys.13.3.047	journal	September 2022
Learning to simulate high energy particle collisions from unlabeled data Howard, Jessica N.; Mandt, Stephan; Whiteson, Daniel Scientific Reports, Vol. 12, Issue 1 https://doi.org/10.1038/s41598-022-10966-7	journal	May 2022
An introduction to PYTHIA 8.2 Sjöstrand, Torbjörn; Ask, Stefan; Christiansen, Jesper R. Computer Physics Communications, Vol. 191 https://doi.org/10.1016/j.cpc.2015.01.024	journal	June 2015
CURTAINs for your sliding window: Constructing unobserved regions by transforming adjacent intervals Raine, John Andrew; Klein, Samuel; Sengupta, Debajyoti Frontiers in Big Data, Vol. 6 https://doi.org/10.3389/fdata.2023.899345	journal	March 2023
PYTHIA 6.4 physics and manual Sjöstrand, Torbjörn; Mrenna, Stephen; Skands, Peter Journal of High Energy Physics, Vol. 2006, Issue 05 https://doi.org/10.1088/1126-6708/2006/05/026	journal	May 2006
Machine learning in the search for new fundamental physics Karagiorgi, Georgia; Kasieczka, Gregor; Kravitz, Scott Nature Reviews Physics, Vol. 4, Issue 6 https://doi.org/10.1038/s42254-022-00455-1	journal	May 2022
The anti- k _t jet clustering algorithm Cacciari, Matteo; Salam, Gavin P.; Soyez, Gregory Journal of High Energy Physics, Vol. 2008, Issue 04 https://doi.org/10.1088/1126-6708/2008/04/063	journal	April 2008
A Family of Nonparametric Density Estimation Algorithms Tabak, E. G.; Turner, Cristina V. Communications on Pure and Applied Mathematics, Vol. 66, Issue 2 https://doi.org/10.1002/cpa.21423	journal	September 2012
Herwig++ physics and manual Bähr, Manuel; Gieseke, Stefan; Gigg, Martyn A. The European Physical Journal C, Vol. 58, Issue 4 https://doi.org/10.1140/epjc/s10052-008-0798-9	journal	November 2008
FastJet user manual: (for version 3.0.2) Cacciari, Matteo; Salam, Gavin P.; Soyez, Gregory The European Physical Journal C, Vol. 72, Issue 3 https://doi.org/10.1140/epjc/s10052-012-1896-2	journal	March 2012
Flow-enhanced transportation for anomaly detection Golling, Tobias; Klein, Samuel; Mastandrea, Radha Physical Review D, Vol. 107, Issue 9 https://doi.org/10.1103/PhysRevD.107.096025	journal	May 2023
The Elements of Statistical Learning Hastie, Trevor; Friedman, Jerome; Tibshirani, Robert Springer Series in Statistics https://doi.org/10.1007/978-0-387-21606-5	book	January 2001
nflows: normalizing flows in PyTorch Durkan, Conor; Bekasov, Artur; Murray, Iain https://doi.org/10.5281/zenodo.4296287	software	November 2020
Dispelling the N3 myth for the kt jet-finder Cacciari, Matteo; Salam, Gavin P. Physics Letters B, Vol. 641, Issue 1 https://doi.org/10.1016/j.physletb.2006.08.037	journal	September 2006
Anomaly detection with density estimation Nachman, Benjamin; Shih, David Physical Review D, Vol. 101, Issue 7 https://doi.org/10.1103/PhysRevD.101.075042	journal	April 2020

Similar Records

Maximum-likelihood estimates of the frequency and other parameters of signals of laser Doppler measuring systems operating in the one-particle-scattering mode

Journal Article · 2000 · Quantum Electronics (Woodbury, N.Y.) · OSTI ID:21442786

Sobolev, V S; Prokopenko, M N

A maximum likelihood algorithm for the estimation andrenormalization of exponential densities

Journal Article · 2004 · Journal of Computational Physics · OSTI ID:861552

Stinis, Panagiotis

Uniqueness and global optimality of the maximum likelihood estimator for the generalized extreme value distribution

Journal Article · 2021 · Biometrika · OSTI ID:1828573

Zhang, Likun; Shaby, Benjamin A.

Title: Morphing one dataset into another with maximum likelihood estimation

Citation Formats

References (19)

Similar Records

Related Subjects