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Abstract:
Ultralight scalar field dark matter (SFDM) has become one of the most popular dark matter candidates over the past decade. As a viable alternative to cold dark matter (CDM), ultralight SFDM mimics CDM on large scales, while resolving some of the small-scale challenges to the CDM model potentially due to its quantum nature. The prototypical ultralight SFDM—ultralight axions—modeled by a free real scalar field has been recently challenged by various observational tests. In this talk, I will first discuss several theoretical implications of an extended ultralight dark matter model described by a complex scalar field. I will then describe two types of high-redshift signatures of ultralight dark matter, imprinted in the inflationary stochastic gravitational-wave background (SGWB) and the 21-cm radiation from neutral hydrogen during Cosmic Dawn and the Epoch of Reionization. Apart from presenting the observational constraints/forecasts, I will show how neural network emulation is essential for accelerating modern Bayesian analyses.
Speaker Bio:
Dr. Bohua Li is an associate professor at Guangxi University. He received his PhD from the University of Texas at Austin in 2017. He was then a postdoc fellow at Tsinghua University. He joined Guangxi University as a faculty member in 2021. His research interests focus primarily on the nature of dark matter and the formation of cosmic structure. He is also experienced in early-Universe phenomenology, gravitational-wave cosmology and applications of machine learning methods to astronomy.
Alternative online link: https://meeting.tencent.com/dm/Lqtj4DIsN7CE
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Prof. Shao-Feng Ge