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Title: Optimizing Event Selection with the Random Grid Search

Abstract

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:
 [1];  [2];  [3];  [4]
  1. Fermilab
  2. Florida State U.
  3. Kyungpook Natl. U.
  4. Broad Inst., Cambridge
Publication Date:
Research Org.:
Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
Sponsoring Org.:
USDOE Office of Science (SC), High Energy Physics (HEP) (SC-25)
OSTI Identifier:
1374711
Report Number(s):
arXiv:1706.09907; FERMILAB-PUB-17-288-PPD
1608169
DOE Contract Number:
AC02-07CH11359
Resource Type:
Journal Article
Resource Relation:
Journal Name: TBD
Country of Publication:
United States
Language:
English
Subject:
72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS

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., 2017. Web.
Bhat, Pushpalatha C., Prosper, Harrison B., Sekmen, Sezen, & Stewart, Chip. Optimizing Event Selection with the Random Grid Search. United States.
Bhat, Pushpalatha C., Prosper, Harrison B., Sekmen, Sezen, and Stewart, Chip. Thu . "Optimizing Event Selection with the Random Grid Search". United States. doi:. 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 = {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 = {},
journal = {TBD},
number = ,
volume = ,
place = {United States},
year = {Thu Jun 29 00:00:00 EDT 2017},
month = {Thu Jun 29 00:00:00 EDT 2017}
}