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Title: Optimizing event selection with the random grid search

Journal Article · · Computer Physics Communications
 [1];  [2]; ORCiD logo [3];  [4]
  1. Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
  2. Florida State Univ., Tallahassee, FL (United States)
  3. Kyungpook National Univ., Daegu (South Korea)
  4. Broad Institute, Boston, MA (United States)

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.

Research Organization:
Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)
Sponsoring Organization:
USDOE Office of Science (SC), High Energy Physics (HEP) (SC-25)
Grant/Contract Number:
AC02-07CH11359
OSTI ID:
1374711
Report Number(s):
FERMILAB-PUB--17-288-PPD; arXiv:1706.09907; 1608169
Journal Information:
Computer Physics Communications, Journal Name: Computer Physics Communications Journal Issue: C Vol. 228; ISSN 0010-4655
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

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