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【数学之美-杰出学者讲坛】2024年第3期 ||Optimal transport and Monge-Ampere equ...
好莱坞数据专家和制作逻辑的数据重塑
长视频平台趋势与洞察
清华大学材料科学与工程研究院《材料科学论坛》:机器学习辅助合金理性设计
报告题目:
Cosmological Inference using Gravitational Wave Standard Sirens: A Mock Data Challenge
 报告人:
Dr. Hong Qi (Univ. of Cardiff)
报告时间:
2019-09-12 14:00
报告地点:
蒙民伟科技南楼S727
主办单位:
天文系
  简介:

ABSTRACT

The observation of binary neutron star merger GW170817 provides the first constraint on the Hubble constant $H_0$ using counterpart standard siren method. For the case where a counterpart is not identified, a statistical standard siren method with a galaxy catalog can be exploited to estimate $H_0$. In this colloquium I will talk about the Bayesian framework that LIGO-Virgo Collaboration's Cosmology group have developed to estimate the Hubble constant using both the counterpart and the statistical standard siren methods. I will also show the application of the framework to a series of mock data challenges from O2-like detection simulation of 249 binary neutron star mergers with focuses on gravitational wave selection and electromagnetic selection effects.

BIO
Dr. Hong Qi is currently a postdoctoral research associate at Cardiff University in UK. She obtained her PhD with Prof. Patrick Brady at University of Wisconsin - Milwaukee in US in 2018. She has been a member of the LIGO Scientific Collaboration (LSC) since 2015 and is part of the LSC Parameter Estimation group and Cosmology group. She has also been a Laser Interferometer Space Antenna (LISA) consortium member since 2018.

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