التفاصيل البيبلوغرافية
| العنوان: |
Dark Matter Direct Detection with Accelerometers |
| المؤلفون: |
David E. Kaplan, Jeremy Mardon, Peter W. Graham, Surjeet Rajendran, William A. Terrano |
| بيانات النشر: |
arXiv, 2015. |
| سنة النشر: |
2015 |
| مصطلحات موضوعية: |
Physics, Particle physics, Quantum Physics, Cosmology and Nongalactic Astrophysics (astro-ph.CO), 010308 nuclear & particles physics, Physics beyond the Standard Model, Dark matter, Scalar field dark matter, FOS: Physical sciences, Hierarchy problem, 01 natural sciences, 3. Good health, High Energy Physics - Experiment, High Energy Physics - Phenomenology, High Energy Physics - Experiment (hep-ex), High Energy Physics - Phenomenology (hep-ph), Weakly interacting massive particles, 0103 physical sciences, Dark energy, 010306 general physics, Quantum Physics (quant-ph), Light dark matter, Dark fluid, Astrophysics - Cosmology and Nongalactic Astrophysics |
| الوصف: |
The mass of the dark matter particle is unknown, and may be as low as ~$10^{-22}$ eV. The lighter part of this range, below ~eV, is relatively unexplored both theoretically and experimentally but contains an array of natural dark matter candidates. An example is the relaxion, a light boson predicted by cosmological solutions to the hierarchy problem. One of the few generic signals such light dark matter can produce is a time-oscillating, EP-violating force. We propose searches for this using accelerometers, and consider in detail the examples of torsion balances, atom interferometry, and pulsar timing. These approaches have the potential to probe large parts of unexplored parameter space in the next several years. Thus such accelerometers provide radically new avenues for the direct detection of dark matter.
Comment: 22 pages, 4 figures, includes 1 page Executive Summary. Version 2: typos fixed, citations added |
| DOI: |
10.48550/arxiv.1512.06165 |
| URL الوصول: |
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ccbfa9a1eb5e00063f8c1fb921e5da97 |
| Rights: |
OPEN |
| رقم الانضمام: |
edsair.doi.dedup.....ccbfa9a1eb5e00063f8c1fb921e5da97 |
| قاعدة البيانات: |
OpenAIRE |