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Ratio-Based Pulse Shape Discrimination: Analytic Results for Gaussian and Poisson Noise Models — Europe PMC PMID:39310797

Source: Europe PMC (en)
Original: https://europepmc.org/article/MED/39310797
DOI: 10.6028/jres.126.032
License (as archived): CC0-1.0
Archived: 2026-11-01T13:25:27.170Z
SHA-256 of the archived text: 3addbcfa4d546f65549db990cc156f7dffd6da8aecac7ce7cafb0b97e7ff6574
Stable URL of this page: https://metraipolis.com/documento/dc_ffeef77a8fcd

How to cite

Ratio-Based Pulse Shape Discrimination: Analytic Results for Gaussian and Poisson Noise Models — Europe PMC PMID:39310797 — Europe PMC (en), https://europepmc.org/article/MED/39310797 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_ffeef77a8fcd (Metraipolis archive dc_ffeef77a8fcd, sha256 3addbcfa4d546f65549db990cc156f7dffd6da8aecac7ce7cafb0b97e7ff6574)

BibTeX

@misc{dcffeef77a8fcd,
  title = {Ratio-Based Pulse Shape Discrimination: Analytic Results for Gaussian and Poisson Noise Models — Europe PMC PMID:39310797},
  howpublished = {Europe PMC (en)},
  url = {https://europepmc.org/article/MED/39310797},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_ffeef77a8fcd; sha256 3addbcfa4d546f65549db990cc156f7dffd6da8aecac7ce7cafb0b97e7ff6574},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: Europe PMC (en), https://europepmc.org/article/MED/39310797. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

In experiments in a range of fields including fast neutron spectroscopy and astroparticle physics, one can discriminate events of interest from background events based on the shapes of electronic pulses produced by energy deposits in a detector. Here, I focus on a well-known pulse shape discrimination method based on the ratio of the temporal integral of the pulse over an early interval X p and the temporal integral over the entire pulse X t . For both event classes, for both a Gaussian noise model and a Poisson noise model, I present analytic expressions for the conditional distribution of X p given knowledge of the observed value of X t and a scaled energy deposit corresponding to the product of the full energy deposit and a relative yield factor. I assume that the energy-dependent theoretical prompt fraction for both classes are known exactly. With a Bayesian approach that accounts for imperfect knowledge of the scaled energy deposit, I determine the posterior mean background acceptance probability given the target signal acceptance probability as a function of the observed value of X t . My method enables one to determine receiver-operating-characteristic curves by numerical integration rather than by Monte Carlo simulation for these two noise models.

Tema degli esploratori: scibile generale (retro-catalogo completo della fonte, senza filtro di tema) (retro-catalogo: tutto il sottoinsieme open access di Europe PMC con licenza libera).
Pubblicazione: Journal of research of the National Institute of Standards and Technology, 2021 (prima pubblicazione 2021-11-09).
Identificativi: PMID 39310797 · PMCID PMC11302958 · DOI 10.6028/jres.126.032.
Parole chiave degli autori: Classification; Bayesian analysis; Gaussian Processes; Pulse Shape Discrimination; Receiver-Operating-Characteristic Curve; Poisson Processes, Prompt Fraction Statistic.
Pagina: https://europepmc.org/article/MED/39310797 — https://doi.org/10.6028/jres.126.032. Autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza dell'articolo dichiarata da Europe PMC: CC0 (la versione è indicata dall'editore sulla pagina). Abstract riportato senza modifiche al contenuto, con attribuzione; deposito marcato CC0.
Letto il 2026-11-01T13:18:05.767Z tramite l'API REST ufficiale di Europe PMC (EMBL-EBI), nel rispetto del robots.txt e del crawl-delay.