29 March 2023 to 1 April 2023
UCLA
US/Pacific timezone

New Constraints on Dark Matter, Cosmic Neutrino Profiles, and Neutrino Masses through Gravity and Quantum Sensors

30 Mar 2023, 17:30
15m
PAB- 1-425 (UCLA)

PAB- 1-425

UCLA

UCLA Department of Physics and Astronomy 475 Portola Plaza, Los Angeles, CA 90095

Speaker

Yu-Dai Tsai (University of California, Irvine)

Description

We derive purely gravitational constraints on dark matter and cosmic neutrino profiles in the solar system using asteroid (101955) Bennu.
We focus on Bennu because of its extensive tracking data and high-fidelity trajectory modeling resulting from the OSIRIS-REx mission. We find that the local density of dark matter is bound by $\rho_{\rm DM} < 3.3\times 10^{-15}\;\rm kg/m^3 \simeq 6\times10^6\,\bar{\rho}_{\rm DM}$, in the vicinity of $\sim 1.1$ au (where $\bar{\rho}_{\rm DM}\simeq 0.3\;\rm GeV/cm^3$). We show that high-precision tracking data of solar system objects can constrain cosmic neutrino overdensities relative to the Standard Model prediction $\bar{n}_{\nu}$, at the level of $\eta\equiv n_\nu/\bar{n}_{\nu} < 1.7 \times 10^{11}(0.1 \;{\rm eV}/m_\nu)$ (Saturn), comparable to the existing bounds from KATRIN and other previous laboratory experiments (with $m_\nu$ the neutrino mass). These local bounds have interesting implications for existing and future direct-detection experiments. Our constraints apply to all dark matter candidates but are particularly meaningful for scenarios including solar halos, stellar basins, and axion miniclusters, which predict overdensities in the solar system. Furthermore, introducing a DM-SM long-range fifth force with a strength $\tilde{\alpha}_D$ times stronger than gravity, Bennu can set a constraint on $\rho_{\rm DM} < \bar{\rho}_{\rm DM}\left(6 \times 10^6/\tilde{\alpha}_D\right)$. These constraints can be improved in the future as the accuracy of tracking data improves, observational arcs increase, and more missions visit asteroids. If time permits, I will also talk about a proposal using space quantum sensors to study ultralight dark matter.

This talk is based on https://arxiv.org/abs/2210.03749 and https://arxiv.org/abs/2112.07674 (Nature Astronomy, 2022).

Primary author

Yu-Dai Tsai (University of California, Irvine)

Presentation materials