Article ; Online: Direct detection of dark matter-APPEC committee report.
Reports on progress in physics. Physical Society (Great Britain)
2022 Volume 85, Issue 5
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 ... ...
| 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. |
|---|---|
| Language | English |
| Publishing date | 2022-04-29 |
| Publishing country | England |
| Document type | Journal Article ; Review |
| ZDB-ID | 205657-4 |
| ISSN | 1361-6633 ; 0034-4885 |
| ISSN (online) | 1361-6633 |
| ISSN | 0034-4885 |
| DOI | 10.1088/1361-6633/ac5754 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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