Published September 11, 2012 | Version v1
Journal article

Application of quasi-optimal weights to searches of anomalies. Statistical criteria for step-like anomalies in cumulative spectra

  • 1. Department of Physics, Moscow State University, Moscow 119991 (Russian Federation)
  • 2. Institute for Nuclear Research RAS, Moscow 117312 (Russian Federation)

Description

It is demonstrated how the method of quasi-optimal weights can be applied to searches of anomalies in experimental data. As an example, a convenient statistical criterion is derived for step-like anomalies in cumulative β-decay spectra in the direct neutrino mass measurement experiments. It is almost as powerful as the locally most powerful one and appreciably excels the conventional χ2 and Kolmogorov–Smirnov tests. It is also compared with an ad hoc criterion of «pairwise correlations of neighbours»; the latter is seen to be less powerful even if more sensitive to more general anomalies. As a realistic example, the criteria are applied to the Troitsk-ν-mass data.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.nima.2012.05.066

Additional details

Identifiers

DOI
10.1016/j.nima.2012.05.066;
arXiv
arXiv:1111.4835v1;
PII
S0168-9002(12)00574-8;

Publishing Information

Journal Title
Nuclear Instruments and Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment
Journal Volume
686
Journal Issue
Complete
Journal Page Range
p. 162-167
ISSN
0168-9002
CODEN
NIMAER

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
45020187
Subject category
S46: INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY;
Descriptors DEI
BETA SPECTRA; BETA-MINUS DECAY; COMPARATIVE EVALUATIONS; DATA PROCESSING; MASS; NEUTRINOS; STATISTICS; TESTING
Descriptors DEC
BETA DECAY; DECAY; ELEMENTARY PARTICLES; EVALUATION; FERMIONS; LEPTONS; MASSLESS PARTICLES; MATHEMATICS; NUCLEAR DECAY; PROCESSING; SPECTRA

Optional Information

Copyright
Copyright (c) 2012 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.