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38 lines (38 loc) · 1.15 KB
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cff-version: 1.2.0
message: "If you use this software, please cite it, and also cite Yellin's method paper (see references)."
title: "optimum_interval: a Python implementation of Yellin's optimum-interval method"
abstract: >-
Frequentist upper limits on a signal normalization in the presence of an
unknown, non-subtractable background, using only the signal shape (Yellin's
maximum-gap and optimum-interval methods).
type: software
authors:
- family-names: Aalbers
given-names: Jelle
- family-names: Tunnell
given-names: Christopher
version: 0.3.0
doi: 10.5281/zenodo.21114720
date-released: "2026-07-28"
license: BSD-3-Clause
repository-code: "https://github.com/tunnell/optimum_interval"
keywords:
- dark matter
- direct detection
- upper limit
- statistics
- maximum gap
- optimum interval
references:
- type: article
title: "Finding an Upper Limit in the Presence of Unknown Background"
authors:
- family-names: Yellin
given-names: Steve
journal: "Physical Review D"
volume: 66
issue: 3
start: "032005"
year: 2002
doi: 10.1103/PhysRevD.66.032005
url: "https://arxiv.org/abs/physics/0203002"