2010/10/12 by Kyle Cranmer, Itay Yavin · 73 citations
Computer Science · Decision Sciences · Physics and Astronomy · #Class (philosophy) #Computational Physics and Python Applications #Investment (military) #Particle physics theoretical and experimental studies #Physics beyond the Standard Model #Scientific Computing and Data Management #hep-ex #hep-ph #physics.data-an
paper · pdf · doi:10.1007/jhep04(2011)038
published in Journal of High Energy Physics 2011(4) (Springer Nature) · 13 pages, 4 figures
arxiv created 2010/10/12 · openalex publication_date 2011/04/01 · arxiv updated 2011/06/15 · openalex created_date 2016/06/24 · openalex updated_date 2026/08/05
Searches for new physics by experimental collaborations represent a significant investment in time and resources. Often these searches are sensitive to a broader class of models than they were originally designed to test. We aim to extend the impact of existing searches through a technique we call 'recasting'. After considering several examples, which illustrate the issues and subtleties involved, we present RECAST, a framework designed to facilitate the usage of this technique.