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Title: Acceleration of matrix element computations for precision measurements

The matrix element technique provides a superior statistical sensitivity for precision measurements of important parameters at hadron colliders, such as the mass of the top quark or the cross-section for the production of Higgs bosons. The main practical limitation of the technique is its high computational demand. Using the example of the top quark mass, we present two approaches to reduce the computation time of the technique by a factor of 90. First, we utilize low-discrepancy sequences for numerical Monte Carlo integration in conjunction with a dedicated estimator of numerical uncertainty, a novelty in the context of the matrix element technique. We then utilize a new approach that factorizes the overall jet energy scale from the matrix element computation, a novelty in the context of top quark mass measurements. The utilization of low-discrepancy sequences is of particular general interest, as it is universally applicable to Monte Carlo integration, and independent of the computing environment.
 [1] ;  [2] ;  [2] ;  [3]
  1. Georg-August-Universitat Gottingen (Germany)
  2. Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
  3. Univ. of Illinois, Chicago, IL (United States)
Publication Date:
Report Number(s):
Journal ID: ISSN 0168-9002; arXiv eprint number arXiv:1410.6319; TRN: US1600724
Grant/Contract Number:
Accepted Manuscript
Journal Name:
Nuclear Instruments and Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment
Additional Journal Information:
Journal Volume: 775; Journal ID: ISSN 0168-9002
Research Org:
Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
Sponsoring Org:
USDOE Office of Science (SC), High Energy Physics (HEP) (SC-25)
Country of Publication:
United States
72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS; matrix element; monte carlo integration; low-discrepancy sequences; hadron collider; top quark
OSTI Identifier:
Alternate Identifier(s):
OSTI ID: 1247596