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Developing optimal strategies for observing the electro-magnetic counterparts of gravitational-wave events

Developing optimal strategies for observing the electro-magnetic counterparts of gravitational-wave events
制定观测引力波事件的电磁对应物的最佳策略
批准号:
2039699
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2017
资助国家:
英国
项目状态:
已结题
起止时间:
2017 至 --

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中文摘要
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英文摘要
The objective of this project will be to develop and apply Bayesian methodology to the problem of optimising follow up observations of the electro-magnetic counterparts of compact binary coalescence gravitational-wave events. The main context and focus for this work will be optical and near infra-red observations of kilonovae, following binary neutron star coalescences, but it is anticipated that the Bayesian tools developed will have broader applications. The project will seek to develop strategies for inferring the optimal number, epoch, exposure time and colour bands of kilonovae observations that will maximise the probability of detecting the kilonova and/or eliminating false positive detections from other transient events. The methods developed will recognise and fully accommodate the limited sky localisation capabilities of ground-based networks of gravitational-wave interferometers, and will also therefore seek to investigate strategies for optimally 'tiling' the sky localisation regions in which the gravitational-wave candidates are observed - building on and extending to more realistic cases methodology recently developed at Glasgow. This strand of the research may involve investigation of possible relationships between gravitational-wave sources, kilonovae and their host galaxy properties, developing earlier work at Glasgow on the "multi-messenger probability function". The methods developed will involve computing Bayesian posterior odds ratios for kilonova detections versus detections of other transient events. As the project develops, strategies for not simply detecting kilonovae but also characterising and estimating their source parameters will be explored. Machine learning methods may be appropriate to address such problems, and training in the application of these methods will be provided to the student. An extended long-term attachment to the LIGO Observatories will also be arranged, to work on characterisation of the calibration errors associated with the interferometers - and how these affect the sky localisation capabilities of the detector network.
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  • 批准号:
    51008191
  • 项目类别:
    青年科学基金项目
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    2010
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  • 资助金额:
    27.0万元
  • 批准年份:
    2008
  • 负责人:
    彭龙
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慢性阻塞性肺病机械通气时最佳呼气末正压的生理学研究
  • 批准号:
    30770952
  • 项目类别:
    面上项目
  • 资助金额:
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  • 批准年份:
    2007
  • 负责人:
    陈荣昌
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