Data Unfolding with Wiener-SVD Method

Tang, W.; Li, X.; Qian, X.; Wei, H.; Zhang, C.

doi:10.1088/1748-0221/12/10/P10002

Title: Data Unfolding with Wiener-SVD Method

Journal Article · Wed Oct 04 00:00:00 EDT 2017 · Journal of Instrumentation

DOI:https://doi.org/10.1088/1748-0221/12/10/P10002· OSTI ID:1408696

Tang, W. ^[1]; Li, X. ^[2]; Qian, X. ^[1]; Wei, H. ^[1]; Zhang, C. ^[1]

Brookhaven National Lab. (BNL), Upton, NY (United States)
State Univ. of New York at Stony Brook, Stony Brook, NY (United States)

Here, data unfolding is a common analysis technique used in HEP data analysis. Inspired by the deconvolution technique in the digital signal processing, a new unfolding technique based on the SVD technique and the well-known Wiener filter is introduced. The Wiener-SVD unfolding approach achieves the unfolding by maximizing the signal to noise ratios in the effective frequency domain given expectations of signal and noise and is free from regularization parameter. Through a couple examples, the pros and cons of the Wiener-SVD approach as well as the nature of the unfolded results are discussed.

View Accepted Manuscript (DOE)

Cite

Export

Save

Research Organization:: Brookhaven National Lab. (BNL), Upton, NY (United States)

Sponsoring Organization:: USDOE Office of Science (SC), High Energy Physics (HEP)

Grant/Contract Number:: SC0012704

OSTI ID:: 1408696

Report Number(s):: BNL-114378-2017-JA; R&D Project: PO-022; KA2201020

Journal Information:: Journal of Instrumentation, Vol. 12, Issue 10; ISSN 1748-0221

Publisher:: Institute of Physics (IOP)Copyright Statement

Country of Publication:: United States

Language:: English

Citation Metrics:

Cited by: 9 works

Citation information provided by
Web of Science

References (15)

Measurement of the Reactor Antineutrino Flux and Spectrum at Daya Bay An, F. P.; Balantekin, A. B.; Band, H. R. Physical Review Letters, Vol. 116, Issue 6 https://doi.org/10.1103/PhysRevLett.116.061801	journal	February 2016
Measurements of the inclusive neutrino and antineutrino charged current cross sections in MINERvA using the low- $ν$ flux method Devan, J.; Ren, L.; Aliaga, L. Physical Review D, Vol. 94, Issue 11 https://doi.org/10.1103/PhysRevD.94.112007	journal	December 2016
Measurement of double-differential muon neutrino charged-current interactions on $C_{8} H_{8}$ without pions in the final state using the T2K off-axis beam Abe, K.; Andreopoulos, C.; Antonova, M. Physical Review D, Vol. 93, Issue 11 https://doi.org/10.1103/PhysRevD.93.112012	journal	June 2016
SVD approach to data unfolding Höcker, Andreas; Kartvelishvili, Vakhtang Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 372, Issue 3 https://doi.org/10.1016/0168-9002(95)01478-0	journal	April 1996
TUnfold, an algorithm for correcting migration effects in high energy physics Schmitt, S. Journal of Instrumentation, Vol. 7, Issue 10 https://doi.org/10.1088/1748-0221/7/10/T10003	journal	October 2012
A multidimensional unfolding method based on Bayes' theorem D'Agostini, G. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 362, Issue 2-3 https://doi.org/10.1016/0168-9002(95)00274-X	journal	August 1995
Liquid argon TPC signal formation, signal processing and reconstruction techniques Baller, B. Journal of Instrumentation, Vol. 12, Issue 07 https://doi.org/10.1088/1748-0221/12/07/P07010	journal	July 2017
Three-dimensional mapping of dark matter Hu, Wayne; Keeton, Charles R. Physical Review D, Vol. 66, Issue 6 https://doi.org/10.1103/PhysRevD.66.063506	journal	September 2002
Unfolding the matter distribution using three-dimensional weak gravitational lensing Simon, P.; Taylor, A. N.; Hartlap, J. Monthly Notices of the Royal Astronomical Society, Vol. 399, Issue 1 https://doi.org/10.1111/j.1365-2966.2009.15246.x	journal	October 2009
Asymptotic formulae for likelihood-based tests of new physics Cowan, Glen; Cranmer, Kyle; Gross, Eilam The European Physical Journal C, Vol. 71, Issue 2 https://doi.org/10.1140/epjc/s10052-011-1554-0	journal	February 2011
Measurement of electron antineutrino oscillation based on 1230 days of operation of the Daya Bay experiment An, F. P.; Balantekin, A. B.; Band, H. R. Physical Review D, Vol. 95, Issue 7 https://doi.org/10.1103/PhysRevD.95.072006	journal	April 2017
Determination of antineutrino spectra from nuclear reactors Huber, Patrick Physical Review C, Vol. 84, Issue 2 https://doi.org/10.1103/PhysRevC.84.024617	journal	August 2011
Improved predictions of reactor antineutrino spectra Mueller, Th. A.; Lhuillier, D.; Fallot, M. Physical Review C, Vol. 83, Issue 5 https://doi.org/10.1103/PhysRevC.83.054615	journal	May 2011
Improved measurement of the reactor antineutrino flux and spectrum at Daya Bay An, F. P.; Balantekin, A. B.; Band, H. R. Chinese Physics C, Vol. 41, Issue 1 https://doi.org/10.1088/1674-1137/41/1/013002	journal	January 2017
Spectral Structure of Electron Antineutrinos from Nuclear Reactors Dwyer, D. A.; Langford, T. J. Physical Review Letters, Vol. 114, Issue 1 https://doi.org/10.1103/PhysRevLett.114.012502	journal	January 2015

Cited By (4)

Ionization electron signal processing in single phase LArTPCs. Part I. Algorithm Description and quantitative evaluation with MicroBooNE simulation Adams, C.; An, R.; Anthony, J. Journal of Instrumentation, Vol. 13, Issue 07 https://doi.org/10.1088/1748-0221/13/07/p07006	journal	July 2018
Challenges in extracting pseudo-multipoles from magnetic measurements Russenschuck, S.; Caiafa, G.; Fiscarelli, L. International Journal of Modern Physics A, Vol. 34, Issue 36 https://doi.org/10.1142/s0217751x19420223	journal	December 2019
Challenges in Extracting Pseudo-Multipoles From Magnetic Measurements Russenschuck, Stephan; Caiafa, Gianni; Fiscarelli, Lucio JACoW Publishing, Geneva, Switzerland https://doi.org/10.18429/jacow-icap2018-supag03	text	January 2019
Ionization Electron Signal Processing in Single Phase LArTPCs I. Algorithm Description and Quantitative Evaluation with MicroBooNE Simulation Collaboration, MicroBooNE; Adams, C.; An, R. arXiv https://doi.org/10.48550/arxiv.1802.08709	text	January 2018

Similar Records

Combination of Wiener filtering and singular value decomposition filtering for volume imaging PET

Journal Article · Tue Aug 01 00:00:00 EDT 1995 · IEEE Transactions on Nuclear Science · OSTI ID:1408696

Shao, L; Lewitt, R M; Karp, J S; +1 more

Two-dimensional filtering of SPECT images using the Metz and Wiener filters

Conference · Sun Jan 01 00:00:00 EST 1984 · J. Nucl. Med.; (United States) · OSTI ID:1408696

King, M A; Schwinger, R B; Penney, B C; +1 more

Mammograms restoration by using Wiener filter

Journal Article · Fri Mar 25 00:00:00 EDT 2016 · AIP Conference Proceedings · OSTI ID:1408696

Mijovic, S.; Ivanović, S.

Related Subjects

72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS
Unfolding
SVD
Wiener
filter
Analysis and statistical methods
Data processing methods

Title: Data Unfolding with Wiener-SVD Method

Citation Formats

References (15)

Cited By (4)

Similar Records

Related Subjects