Optimization and inference of bin widths for histogramming inelastic neutron scattering spectra. Issue 3 (25th May 2022)
- Record Type:
- Journal Article
- Title:
- Optimization and inference of bin widths for histogramming inelastic neutron scattering spectra. Issue 3 (25th May 2022)
- Main Title:
- Optimization and inference of bin widths for histogramming inelastic neutron scattering spectra
- Authors:
- Tatsumi, Kazuyoshi
Inamura, Yasuhiro
Kofu, Maiko
Kiyanagi, Ryoji
Shimazaki, Hideaki - Abstract:
- Abstract : Bin widths for histograms of inelastic neutron scattering (INS) spectra are optimized for a given data set and inferred for other data sets of different total counts. After verification of the results on INS experimental and simulated data sets, utilization of the method and further improvement are discussed. Abstract : A data‐driven bin‐width optimization for the histograms of measured data sets based on inhomogeneous Poisson processes was developed in a neurophysiology study [Shimazaki & Shinomoto (2007). Neural Comput. 19, 1503–1527], and a subsequent study [Muto, Sakamoto, Matsuura, Arima & Okada (2019). J. Phys. Soc. Jpn, 88, 044002] proposed its application to inelastic neutron scattering (INS) data. In the present study, the results of the method on experimental INS time‐of‐flight data collected under different measurement conditions from a copper single crystal are validated. The extrapolation of the statistics on a given data set to other data sets with different total counts precisely infers the optimal bin widths on the latter. The histograms with the optimized bin widths statistically verify two fine‐spectral‐feature examples in the energy and momentum transfer cross sections: (i) the existence of phonon band gaps; and (ii) the number of plural phonon branches located close to each other. This indicates that the applied method helps in the efficient and rigorous observation of spectral structures important in physics and materials science like novelAbstract : Bin widths for histograms of inelastic neutron scattering (INS) spectra are optimized for a given data set and inferred for other data sets of different total counts. After verification of the results on INS experimental and simulated data sets, utilization of the method and further improvement are discussed. Abstract : A data‐driven bin‐width optimization for the histograms of measured data sets based on inhomogeneous Poisson processes was developed in a neurophysiology study [Shimazaki & Shinomoto (2007). Neural Comput. 19, 1503–1527], and a subsequent study [Muto, Sakamoto, Matsuura, Arima & Okada (2019). J. Phys. Soc. Jpn, 88, 044002] proposed its application to inelastic neutron scattering (INS) data. In the present study, the results of the method on experimental INS time‐of‐flight data collected under different measurement conditions from a copper single crystal are validated. The extrapolation of the statistics on a given data set to other data sets with different total counts precisely infers the optimal bin widths on the latter. The histograms with the optimized bin widths statistically verify two fine‐spectral‐feature examples in the energy and momentum transfer cross sections: (i) the existence of phonon band gaps; and (ii) the number of plural phonon branches located close to each other. This indicates that the applied method helps in the efficient and rigorous observation of spectral structures important in physics and materials science like novel forms of magnetic excitation and phonon states correlated to thermal conductivities. … (more)
- Is Part Of:
- Journal of applied crystallography. Volume 55:Issue 3(2022)
- Journal:
- Journal of applied crystallography
- Issue:
- Volume 55:Issue 3(2022)
- Issue Display:
- Volume 55, Issue 3 (2022)
- Year:
- 2022
- Volume:
- 55
- Issue:
- 3
- Issue Sort Value:
- 2022-0055-0003-0000
- Page Start:
- 533
- Page End:
- 543
- Publication Date:
- 2022-05-25
- Subjects:
- data‐driven science -- histogram bin‐width optimization -- inelastic neutron scattering -- inhomogeneous Poisson point processes -- statistical spectral‐feature validation -- experiment design
Crystallography -- Periodicals
548.05 - Journal URLs:
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http://journals.iucr.org/j/journalhomepage.html ↗
http://www-us.ebsco.com/online/direct.asp?JournalID=105188 ↗
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http://www.blackwell-synergy.com/servlet/useragent?func=showIssues&code=jcr&open=2004#C2004 ↗
http://onlinelibrary.wiley.com/journal/10.1107/S16005767 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1107/S1600576722003624 ↗
- Languages:
- English
- ISSNs:
- 0021-8898
- Deposit Type:
- Legaldeposit
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