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Methods for a blind analysis of isobar data collected by the STAR collaboration

  • STAR Collaboration
  • Brookhaven National Laboratory
  • AGH University of Krakow
  • Ohio State University
  • University of Kentucky
  • Joint Institute for Nuclear Research
  • Panjab University
  • Variable Energy Cyclotron Centre
  • Alikhanov Institute for Theoretical and Experimental Physics
  • Moscow Engineering Physics Institute
  • Texas A&M University
  • Central China Normal University
  • Kent State University
  • Universidad de Tarapacá
  • University of California at Riverside
  • Stony Brook University
  • University of Houston
  • University of Jammu
  • Czech Technical University in Prague
  • Czech Academy of Sciences
  • Rice University
  • Yale University
  • University of California at Davis
  • University of California at Los Angeles
  • National Cheng Kung University
  • Shandong University
  • Fudan University
  • University of Science and Technology of China
  • Tsinghua University
  • Creighton University
  • University of California at Berkeley
  • Eötvös Loránd University
  • Abilene Christian University
  • Heidelberg University 
  • Institute for High Energy Physics
  • Lawrence Berkeley National Laboratory
  • Purdue University
  • Wayne State University
  • University of Tsukuba
  • University of Illinois at Chicago
  • Lehigh University
  • Southern Connecticut State University
  • Technische Universität Darmstadt
  • Valparaiso University
  • Indian Institute of Science Education and Research, Tirupati
  • American University in Cairo
  • CAS - Institute of Modern Physics
  • Pennsylvania State University
  • Indiana University Bloomington
  • Warsaw University of Technology
  • Goethe University Frankfurt
  • Argonne National Laboratory
  • Chinese Academy of Sciences
  • Temple University
  • National Institute of Science Education and Research
  • University of Texas at Austin
  • Rutgers - The State University of New Jersey, New Brunswick
  • Indian Institute of Science Education and Research, Berhampur
  • Institute of Nuclear Physics PAN
  • Max Planck Institute for Physics (Werner Heisenberg Institute)
  • Indian Institute of Technology Patna
  • Universidade de São Paulo
  • Huzhou University
  • Michigan State University
  • United States Naval Academy

Research output: Contribution to journal › Article › peer-review

33 Scopus citations

Abstract

In 2018, the STAR collaboration collected data from 4496Ru+4496Ru and 4096Zr+4096Zr at sNN=200 GeV to search for the presence of the chiral magnetic effect in collisions of nuclei. The isobar collision species alternated frequently between 4496Ru+4496Ru and 4096Zr+4096Zr. In order to conduct blind analyses of studies related to the chiral magnetic effect in these isobar data, STAR developed a three-step blind analysis procedure. Analysts are initially provided a “reference sample” of data, comprised of a mix of events from the two species, the order of which respects time-dependent changes in run conditions. After tuning analysis codes and performing time-dependent quality assurance on the reference sample, analysts are provided a species-blind sample suitable for calculating efficiencies and corrections for individual ≈ 30 -min data-taking runs. For this sample, species-specific information is disguised, but individual output files contain data from a single isobar species. Only run-by-run corrections and code alteration subsequent to these corrections are allowed at this stage. Following these modifications, the “frozen” code is passed over the fully un-blind data, completing the blind analysis. As a check of the feasibility of the blind analysis procedure, analysts completed a “mock data challenge,” analyzing data from Au + Au collisions at sNN=27 GeV, collected in 2018. The Au + Au data were prepared in the same manner intended for the isobar blind data. The details of the blind analysis procedure and results from the mock data challenge are presented.

Original languageEnglish
Article number48
JournalNuclear Science and Techniques
Volume32
Issue number5
DOIs
StatePublished - May 2021

Keywords

  • Blind analysis
  • Chiral magnetic effect
  • Heavy-ion collisions

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