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SUMMARY:Ultralight dark matter and its high-redshift signatures
DTSTART:20260826T060000Z
DTEND:20260826T080000Z
DTSTAMP:20260906T021900Z
UID:indico-event-5245@indico-tdli.sjtu.edu.cn
DESCRIPTION:Speakers: Bohua Li（李博华） (Guangxi University)\n\nAbst
 ract:Ultralight scalar field dark matter (SFDM) has become one of the most
  popular dark matter candidates over the past decade. As a viable alternat
 ive to cold dark matter (CDM)\, ultralight SFDM mimics CDM on large scales
 \, while resolving some of the small-scale challenges to the CDM model pot
 entially due to its quantum nature. The prototypical ultralight SFDM—ult
 ralight axions—modeled by a free real scalar field has been recently cha
 llenged by various observational tests. In this talk\, I will first discus
 s several theoretical implications of an extended ultralight dark matter m
 odel described by a complex scalar field. I will then describe two types o
 f high-redshift signatures of ultralight dark matter\, imprinted in the in
 flationary stochastic gravitational-wave background (SGWB) and the 21-cm r
 adiation from neutral hydrogen during Cosmic Dawn and the Epoch of Reioniz
 ation. Apart from presenting the observational constraints/forecasts\, I w
 ill show how neural network emulation is essential for accelerating modern
  Bayesian analyses.Speaker Bio:Dr. Bohua Li is an associate professor at G
 uangxi University. He received his PhD from the University of Texas at Aus
 tin in 2017. He was then a postdoc fellow at Tsinghua University. He joine
 d Guangxi University as a faculty member in 2021. His research interests f
 ocus primarily on the nature of dark matter and the formation of cosmic st
 ructure. He is also experienced in early-Universe phenomenology\, gravitat
 ional-wave cosmology and applications of machine learning methods to astro
 nomy.Alternative online link: https://meeting.tencent.com/dm/Lqtj4DIsN7CE
 ID: 288702701 (No Password) \n\nhttps://indico-tdli.sjtu.edu.cn/event/5
 245/
LOCATION:Tsung-Dao Lee Institute/N6F-N600 - Lecture Room (Tsung-Dao Lee In
 stitute)
URL:https://indico-tdli.sjtu.edu.cn/event/5245/
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