Mechanical Sensors for Ultraheavy Dark Matter Searches via Long-range Forces
Fuente:
arXiv
Saved in:
| Main Authors: | , , , , , , , , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866909855000821760 |
|---|---|
| author | Qin, Juehang Amaral, Dorian W. P. Bhave, Sunil A. Cai, Erqian Carney, Daniel Lang, Rafael F. Li, Shengchao Marino, Alberto M. Marocco, Giacomo Marvinney, Claire Newton, Jared R. Taylor, Jacob M. Tunnell, Christopher |
| author_facet | Qin, Juehang Amaral, Dorian W. P. Bhave, Sunil A. Cai, Erqian Carney, Daniel Lang, Rafael F. Li, Shengchao Marino, Alberto M. Marocco, Giacomo Marvinney, Claire Newton, Jared R. Taylor, Jacob M. Tunnell, Christopher |
| contents | Dark matter candidates with masses around the Planck-scale are theoretically well-motivated, and it has been suggested that it might be possible to search for dark matter solely via gravitational interactions in this mass range. In this work, we explore the pathway towards searching for dark matter candidates with masses around the Planck-scale using mechanical sensors while considering realistic experimental constraints, and develop analysis techniques needed to conduct such searches. These dark matter particles are expected to leave tracks as their signature in mechanical sensor arrays, and we show that we can effectively search for such tracks using statistical approaches to track-finding. We analyze a range of possible experimental setups and compute sensitivity projections for searches for ultraheavy dark matter coupling to the Standard Model via long-range forces. We find that while a search for Planck-scale dark matter purely via gravitational couplings would be exceedingly difficult, requiring $\sim 80\,\mathrm{dB}$ of quantum noise reduction with a $100^3$ array of devices, there is a wide range of currently unexplored dark matter candidates which can be searched for with already existing or near-term experimental platforms. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_11645 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Mechanical Sensors for Ultraheavy Dark Matter Searches via Long-range Forces Qin, Juehang Amaral, Dorian W. P. Bhave, Sunil A. Cai, Erqian Carney, Daniel Lang, Rafael F. Li, Shengchao Marino, Alberto M. Marocco, Giacomo Marvinney, Claire Newton, Jared R. Taylor, Jacob M. Tunnell, Christopher High Energy Physics - Phenomenology High Energy Physics - Experiment Quantum Physics Dark matter candidates with masses around the Planck-scale are theoretically well-motivated, and it has been suggested that it might be possible to search for dark matter solely via gravitational interactions in this mass range. In this work, we explore the pathway towards searching for dark matter candidates with masses around the Planck-scale using mechanical sensors while considering realistic experimental constraints, and develop analysis techniques needed to conduct such searches. These dark matter particles are expected to leave tracks as their signature in mechanical sensor arrays, and we show that we can effectively search for such tracks using statistical approaches to track-finding. We analyze a range of possible experimental setups and compute sensitivity projections for searches for ultraheavy dark matter coupling to the Standard Model via long-range forces. We find that while a search for Planck-scale dark matter purely via gravitational couplings would be exceedingly difficult, requiring $\sim 80\,\mathrm{dB}$ of quantum noise reduction with a $100^3$ array of devices, there is a wide range of currently unexplored dark matter candidates which can be searched for with already existing or near-term experimental platforms. |
| title | Mechanical Sensors for Ultraheavy Dark Matter Searches via Long-range Forces |
| topic | High Energy Physics - Phenomenology High Energy Physics - Experiment Quantum Physics |
| url | https://arxiv.org/abs/2503.11645 |