1. Data Blinding for the nEDM Experiment at PSI
- Author
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Malgorzata Kasprzak, Philip Harris, D. Pais, J. Hommet, Jacek Zejma, Guillaume Pignol, Kazimierz Bodek, D. Rebreyend, A. Kozela, Geza Zsigmond, Nora Hild, S. Roccia, Prajwal Mohanmurthy, J. Krempel, Y. Kermaidic, Y. Lemière, Antoine Weis, Klaus Kirch, L. Ferraris-Bouchez, N. J. Ayres, P. Flaux, G. Ban, Georg Bison, S. Emmenegger, M. Rawlik, T. Lefort, V. Bondar, Bernhard Lauss, E. Chanel, S. Komposch, M. Daum, Allard Schnabel, Florian M. Piegsa, A. Leredde, A. Mtchedlishvili, D. Rozpedzik, Christopher Crawford, E. Wursten, R. Virot, D. Ries, P.-J. Chiu, Zoran D. Grujić, I. Rienäcker, Philipp Schmidt-Wellenburg, Oscar Naviliat-Cuncic, Laboratoire de physique corpusculaire de Caen (LPCC), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique Subatomique et de Cosmologie (LPSC), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Centre de Sciences Nucléaires et de Sciences de la Matière (CSNSM), Université Paris-Sud - Paris 11 (UP11)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Institut Laue-Langevin (ILL), ILL, Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), and Université Grenoble Alpes (UGA)
- Subjects
Nuclear and High Energy Physics ,data analysis method ,Physics - Instrumentation and Detectors ,Offset (computer science) ,Blinding ,Neutron electric dipole moment ,Other Fields of Physics ,FOS: Physical sciences ,Separate analysis ,[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex] ,nucl-ex ,01 natural sciences ,High Energy Physics - Experiment ,physics.data-an ,High Energy Physics - Experiment (hep-ex) ,0103 physical sciences ,[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex] ,Nuclear Physics - Experiment ,[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det] ,Nuclear Experiment (nucl-ex) ,Detectors and Experimental Techniques ,010306 general physics ,Nuclear Experiment ,physics.ins-det ,Physics ,n: electric moment ,010308 nuclear & particles physics ,hep-ex ,Probability and statistics ,Instrumentation and Detectors (physics.ins-det) ,Data set ,Special Article - New Tools and Techniques ,Trustworthiness ,Physics - Data Analysis, Statistics and Probability ,Algorithm ,Data Analysis, Statistics and Probability (physics.data-an) ,Particle Physics - Experiment ,[PHYS.PHYS.PHYS-DATA-AN]Physics [physics]/Physics [physics]/Data Analysis, Statistics and Probability [physics.data-an] - Abstract
Psychological bias towards, or away from, prior measurements or theory predictions is an intrinsic threat to any data analysis. While various methods can be used to try to avoid such a bias, e.g. actively avoiding looking at the result, only data blinding is a traceable and trustworthy method that can circumvent the bias and convince a public audience that there is not even an accidental psychological bias. Data blinding is nowadays a standard practice in particle physics, but it is particularly difficult for experiments searching for the neutron electric dipole moment (nEDM), as several cross measurements, in particular of the magnetic field, create a self-consistent network into which it is hard to inject a false signal. We present an algorithm that modifies the data without influencing the experiment. Results of an automated analysis of the data are used to change the recorded spin state of a few neutrons within each measurement cycle. The flexible algorithm may be applied twice (or more) to the data, thus providing the option of sequentially applying various blinding offsets for separate analysis steps with independent teams. The subtle manner in which the data are modified allows one subsequently to adjust the algorithm and to produce a re-blinded data set without revealing the initial blinding offset. The method was designed for the 2015/2016 measurement campaign of the nEDM experiment at the Paul Scherrer Institute. However, it can be re-used with minor modification for the follow-up experiment n2EDM, and may be suitable for comparable projects elsewhere., The European Physical Journal A, 57 (4), ISSN:1434-6001, ISSN:1434-601X
- Published
- 2020
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