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西南理论物理中心系列报告:Weak Lensing Constraints on Dark Matter-Baryon Interactions with N-Body Simulations and Machine Learning

作者:点击次数:更新时间:2024年01月22日


题 目:Weak Lensing Constraints on Dark Matter-Baryon Interactions with N-Body Simulations and Machine Learning

报告人:张弛 博士 中科院紫金山天文台

时 间:2024年1月16号(星期二)上午10:00

地 点:纽约国际手机登录LE201


邀请人:边立功

报告摘要:We investigate the elastic scattering cross section between dark matter and protons using the DES Year 3 weak lensing data.

This scattering induces a dark acoustic oscillation structure in the matter power spectra. To address non-linear effects at low redshift, we utilize principal component analysis alongside a limited set of $N$-body simulations, improving the reliability of our matter power spectrum prediction.

We further perform a robust Markov Chain Monte Carlo analysis to derive the upper bounds on the DM-proton elastic scattering cross-section, assuming different velocity dependencies. Our results, presented as the first Frequentist upper limits, are compared with Bayesian counterparts. Compared with the upper limits derived from the Planck cosmic microwave background data, our findings from DES Year 3 data exhibit improvements of up to a factor of five.

In addition, we also forecast the future sensitivities of the China Space Station Telescope, the upcoming capabilities of this telescope could improve the current limits by approximately one order of magnitude.

报告人介绍:张弛,2021年起在中科院紫金山天文台攻读博士学位,研究方向主要是暗物质宇宙学与宇宙学数值模拟,目前已经在JCAP杂志发表论文一篇。