Literature DB >> 35193133

Direct detection of dark matter-APPEC committee report.

Julien Billard1, Mark Boulay2, Susana Cebrián3, Laura Covi4, Giuliana Fiorillo5, Anne Green6, Joachim Kopp7, Béla Majorovits8, Kimberly Palladino9,10, Federica Petricca8, Leszek Roszkowski Chair11,12, Marc Schumann13.   

Abstract

This report provides an extensive review of the experimental programme of direct detection searches of particle dark matter. It focuses mostly on European efforts, both current and planned, but does it within a broader context of a worldwide activity in the field. It aims at identifying the virtues, opportunities and challenges associated with the different experimental approaches and search techniques. It presents scientific and technological synergies, both existing and emerging, with some other areas of particle physics, notably collider and neutrino programmes, and beyond. It addresses the issue of infrastructure in light of the growing needs and challenges of the different experimental searches. Finally, the report makes a number of recommendations from the perspective of a long-term future of the field. They are introduced, along with some justification, in the opening overview and recommendations section and are next summarised at the end of the report. Overall, we recommend that the direct search for dark matter particle interactions with a detector target should be given top priority in astroparticle physics, and in all particle physics, and beyond, as a positive measurement will provide the most unambiguous confirmation of the particle nature of dark matter in the Universe.
© 2022 IOP Publishing Ltd.

Entities:  

Keywords:  APPEC; WIMP; axion; dark matter; direct detection

Year:  2022        PMID: 35193133     DOI: 10.1088/1361-6633/ac5754

Source DB:  PubMed          Journal:  Rep Prog Phys        ISSN: 0034-4885


  1 in total

1.  Domain-Informed Neural Networks for Interaction Localization Within Astroparticle Experiments.

Authors:  Shixiao Liang; Aaron Higuera; Christina Peters; Venkat Roy; Waheed U Bajwa; Hagit Shatkay; Christopher D Tunnell
Journal:  Front Artif Intell       Date:  2022-06-09
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.