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30 May 2024 to 2 June 2024
Southeast University (Sipailou Campus)
Asia/Shanghai timezone

Levitodynamics with multi-stochastic forces and the simple applications on the dark matter detection

1 Jun 2024, 08:55
25m
Lecture Hall, 3rd floor, Qunxian Building (群贤楼三楼报告厅)

Lecture Hall, 3rd floor, Qunxian Building (群贤楼三楼报告厅)

Oral talk DM

Speaker

Wenyu Wang (Beijing University of Technology)

Description

If the terrestrial environment is permeated by dark matter, the levitation experiences damping forces and fluctuations attributed to dark matter. This paper investigates levitodynamics with multiple stochastic forces, including thermal drag, photon recoil, feedback, etc., assuming that all of these forces adhere to the fluctuation-dissipation theorem. The ratio of total damping to the stochastic damping coefficient distinguishes the levitodynamics from cases involving only one single stochastic force. The heating and cooling processes are formulated to determine the limits of temperature change. All sources of stochastic forces are comprehensively examined, revealing that dark matter collisions cannot be treated analogously to fluid dynamics. Additionally, a meticulous analysis is presented, elucidating the intricate relationship between the fundamental transfer cross-section and the macroscopic transfer cross-section. While the dark damping coefficient is suppressed by the mass of the levitated particle, scattering can be coherently enhanced based on the amount of the component microscopic particle, the nucleus form factor, and the static structure factor. Hence, dark damping holds the potential to provide valuable insights into the detection of the macroscopic strength of fundamental particles. We propose experimental procedures for levitation and employ linear estimation to extract the dark damping coefficient. Utilizing current levitation results, we demonstrate that the fundamental transfer cross section of dark matter can be of the order $\sigma^{\rm D}_{T}\lsim {\cal O}(10^{-26})\rm cm^2$

Primary author

Wenyu Wang (Beijing University of Technology)

Presentation materials