Exploring the Luminosity-Timescale Phase Space of Exploding Transients

探索爆炸瞬变的光度-时间尺度相空间

基本信息

批准号：
2159908
负责人：
金额：
--
依托单位：
Liverpool John Moores University
依托单位国家：
英国
项目类别：
Studentship
财政年份：
2018
资助国家：
英国
起止时间：
2018 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=studentship-2159908
关键词：
Exploring Luminosity Timescale Phase Space

项目摘要

"This project will explore explosive transients in the luminosity-timescale gaps within the Kasliwal Diagram, and also exploit much larger datasets in order to build up a fuller picture of the luminosity-timescale diagram of explosive transients, with the intention of studying a variety of poorly known phenomena. These phenomena range from faint and fast novae to some of the most luminous supernovae.Initial focus will be on classical novae with high luminosities and fast declines within the M31 galaxy, which allows for large statistical samples of spectroscopically confirmed events. Statistical methods most commonly used on supernovae, will for the first time be used to probe these events. Further to this, other transients will be investigated, namely the mysterious supernovae IIn class which have very differing properties and ambiguities related to Impostor events. These supernovae are likely misclassified with some being very bright core-collapse progenitors, some likely to be thermonuclear events interacting with the CSM, some probably having a progenitor on the very low end of the core-collapse mass scale and others being on the very high end, others are far from any star forming regions. This project will focus on increasing the numbers of events within these poorly populated regions of the Kasliwal Diagram in order to apply statistical methods to probe the progenitors of a range of transient objects, both through observations of historic events, and through continuous monitoring for this phase space to increase the populations."

“该项目将探索卡斯利瓦尔图内的亮度时间尺寸差距中的爆炸性瞬变，还可以利用更大的数据集，以建立爆炸性瞬态图表的更全面的图片，并以多种多样的现象范围内的一些范围，这些现象范围是一些范围，这些现象范围是一些范围的范围。在M31星系中具有较高的亮度和快速下降，这允许在频谱上确认的事件的统计样本。最常用的统计方法。错误分类的某些是非常明亮的核心偏圈祖细胞，有些可能是与CSM相互作用的热核事件，有些可能在核心偏离质量尺度非常低的端处有一个祖先，而另一些则在很高的一端，而另一些则远非任何星形形成区域。该项目将着重于增加Kasliwal图的这些人口众多区域内的事件数量，以便采用统计方法来探测一系列瞬态物体的祖细胞，包括通过对历史事件的观察，以及通过连续监视此相位空间来增加人群的祖细胞。”