Optimizing event selection with the random grid search
Abstract
In this paper, the random grid search (RGS) is a simple, but efficient, stochastic algorithm to find optimal cuts that was developed in the context of the search for the top quark at Fermilab in the mid-1990s. The algorithm, and associated code, have been enhanced recently with the introduction of two new cut types, one of which has been successfully used in searches for supersymmetry at the Large Hadron Collider. The RGS optimization algorithm is described along with the recent developments, which are illustrated with two examples from particle physics. One explores the optimization of the selection of vector boson fusion events in the four-lepton decay mode of the Higgs boson and the other optimizes SUSY searches using boosted objects and the razor variables.
- Authors:
-
- Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
- Florida State Univ., Tallahassee, FL (United States)
- Kyungpook National Univ., Daegu (South Korea)
- Broad Institute, Boston, MA (United States)
- Publication Date:
- Research Org.:
- Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), High Energy Physics (HEP)
- OSTI Identifier:
- 1374711
- Alternate Identifier(s):
- OSTI ID: 1548656
- Report Number(s):
- FERMILAB-PUB-17-288-PPD; arXiv:1706.09907
Journal ID: ISSN 0010-4655; 1608169
- Grant/Contract Number:
- AC02-07CH11359; SC0010102
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Computer Physics Communications
- Additional Journal Information:
- Journal Volume: 228; Journal Issue: C; Journal ID: ISSN 0010-4655
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS; Selection optimization; Grid search; LHC; Higgs; SUSY
Citation Formats
Bhat, Pushpalatha C., Prosper, Harrison B., Sekmen, Sezen, and Stewart, Chip. Optimizing event selection with the random grid search. United States: N. p., 2018.
Web. doi:10.1016/j.cpc.2018.02.018.
Bhat, Pushpalatha C., Prosper, Harrison B., Sekmen, Sezen, & Stewart, Chip. Optimizing event selection with the random grid search. United States. https://doi.org/10.1016/j.cpc.2018.02.018
Bhat, Pushpalatha C., Prosper, Harrison B., Sekmen, Sezen, and Stewart, Chip. Tue .
"Optimizing event selection with the random grid search". United States. https://doi.org/10.1016/j.cpc.2018.02.018. https://www.osti.gov/servlets/purl/1374711.
@article{osti_1374711,
title = {Optimizing event selection with the random grid search},
author = {Bhat, Pushpalatha C. and Prosper, Harrison B. and Sekmen, Sezen and Stewart, Chip},
abstractNote = {In this paper, the random grid search (RGS) is a simple, but efficient, stochastic algorithm to find optimal cuts that was developed in the context of the search for the top quark at Fermilab in the mid-1990s. The algorithm, and associated code, have been enhanced recently with the introduction of two new cut types, one of which has been successfully used in searches for supersymmetry at the Large Hadron Collider. The RGS optimization algorithm is described along with the recent developments, which are illustrated with two examples from particle physics. One explores the optimization of the selection of vector boson fusion events in the four-lepton decay mode of the Higgs boson and the other optimizes SUSY searches using boosted objects and the razor variables.},
doi = {10.1016/j.cpc.2018.02.018},
journal = {Computer Physics Communications},
number = C,
volume = 228,
place = {United States},
year = {Tue Feb 27 00:00:00 EST 2018},
month = {Tue Feb 27 00:00:00 EST 2018}
}
Web of Science
Figures / Tables:
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