1710.04315.pdf (2.88 MB)
Novel event classification based on spectral analysis of scintillation waveforms in Double Chooz
journal contribution
posted on 2023-06-10, 01:45 authored by T Abrahão, H Almazan, J C D Anjos, S Appel, I Bekman, Thiago Sogo BezerraThiago Sogo Bezerra, L Bezrukov, E Blucher, T Brugière, C Buck, J Busenitz, A Cabrera, L Camilleri, M Cerrada, E Chauveau, The Double Chooz collaboration, othersLiquid scintillators are a common choice for neutrino physics experiments, but their capabilities to perform background rejection by scintillation pulse shape discrimination is generally limited in large detectors. This paper describes a novel approach for a pulse shape based event classification developed in the context of the Double Chooz reactor antineutrino experiment. Unlike previous implementations, this method uses the Fourier power spectra of the scintillation pulse shapes to obtain event-wise information. A classification variable built from spectral information was able to achieve an unprecedented performance, despite the lack of optimization at the detector design level. Several examples of event classification are provided, ranging from differentiation between the detector volumes and an efficient rejection of instrumental light noise, to some sensitivity to the particle type, such as stopping muons, ortho-positronium formation, alpha particles as well as electrons and positrons. In combination with other techniques the method is expected to allow for a versatile and more efficient background rejection in the future, especially if detector optimization is taken into account at the design level.
History
Publication status
- Published
File Version
- Accepted version
Journal
Journal of InstrumentationISSN
1748-0221Publisher
IOP PublishingExternal DOI
Volume
13Page range
1-24Article number
aP01031Department affiliated with
- Physics and Astronomy Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2021-11-15First Open Access (FOA) Date
2021-11-15First Compliant Deposit (FCD) Date
2021-11-12Usage metrics
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