{"paper":{"title":"PEACE: Pulsar Evaluation Algorithm for Candidate Extraction -- A software package for post-analysis processing of pulsar survey candidates","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.GA"],"primary_cat":"astro-ph.IM","authors_text":"A. Brazier, A. Lyne, A. Mata, A. Walker, B. Allen, B. Knispel, C. .M. Biwer, D. J. Champion, E. D. Barr, F. A. Jenet, F. Camilo, F. Crawford, G. Desvignes, G. Lunsford, I. Stairs, J. Cordes, J. Deneva, J. Flanigan, J. Martinez, J. van Leeuwen, J. W. T. Hessels, K. J. Lee, K. Stovall, L. P. Dartez, L. Spitler, M. Kramer, M. McLaughlin, M. Rohr, M. Tan, N. D. R. Bhat, P. Freire, P. Lazarus, P. Scholz, R. D. Ferdman, R. Karuppusamy, R. Lynch, S. Banaszak, S. Bogdanov, S. Chatterjee, S. Cohen, S. Ransom, V.M. Kaspi, W. W. Zhu, X. Siemens","submitted_at":"2013-05-02T14:42:34Z","abstract_excerpt":"Modern radio pulsar surveys produce a large volume of prospective candidates, the majority of which are polluted by human-created radio frequency interference or other forms of noise. Typically, large numbers of candidates need to be visually inspected in order to determine if they are real pulsars. This process can be labor intensive. In this paper, we introduce an algorithm called PEACE (Pulsar Evaluation Algorithm for Candidate Extraction) which improves the efficiency of identifying pulsar signals. The algorithm ranks the candidates based on a score function. Unlike popular machine-learnin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1305.0447","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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"}