{"paper":{"title":"gwsnr: A Python package for efficient signal-to-noise ratio calculations of gravitational waves","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["astro-ph.HE"],"primary_cat":"astro-ph.IM","authors_text":"Hemantakumar Phurailatpam, Otto Akseli Hannuksela","submitted_at":"2024-12-13T06:06:33Z","abstract_excerpt":"$gwsnr$ is a Python package for efficient signal-to-noise ratio and detectability calculations for compact-binary gravitational-wave sources. It is designed for large simulated populations where repeated evaluation of the optimal signal-to-noise ratio, $\\rho_{\\rm opt}$, and the probability of detection, $P_{\\rm det}$, becomes computationally expensive with direct noise-weighted inner-product calculations. The package provides multiple calculation pathways under a unified interface, including multiprocessing-based inner-product evaluation, partial-scaling interpolation for non-spinning and alig"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.09888","kind":"arxiv","version":4},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2412.09888/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}