Observing explosive transients in their infancy with robotic telescope networks
使用机器人望远镜网络观察爆炸瞬变的初期阶段
基本信息
- 批准号:2737481
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:英国
- 项目类别:Studentship
- 财政年份:2022
- 资助国家:英国
- 起止时间:2022 至 无数据
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
Astrophysical transients are hugely energetic events in the Universe that evolve on human-reachable timescales of days to years. Their influence in the Universe is vast - producing and releasing much of the elements of the periodic table, as well as forming the most exotic objects we know of as their remnants: black holes and neutron stars. Due to their transient nature, quic reactions in both discovering and studying transients must occur in order to extract the significant scientific yield they offer.The project will define, and automate the link between discovery and characterisation of astrophysical transients. It will exploit discoveries of new transients by the Gravitational-wave Optical Transient Observer facility (GOTO) and perform algorithmic vetting of these sources in a manner most often performed manually, currently, in order to identify those with the most pressing need of further observations and follow-up observations. Once this is in place the automated triggering of nearby facilities, including the Nordic Optical Telescope, the Liverpool Telescope will be performed to obtain multi-colour photometry, and spectroscopy of these discoveries. A key driving factor will be to remove the typically human-induced lags for optical transient study after their discovery, with the aim to obtain detailed information on very young transients. There are a number of very short-lived empirical features in transients that can be highly diagnostic of their nature. For example, early bumps in the light curves of thermonuclear supernovae, which potentially indicate differences in the stellar structure upon explosion, and short-lived, highly ionised emission features in the spectra of core-collapse supernovae, which can provide crucial constraints ont he nature of mass loss in the most massive stars. Although we are beginning to probe these phenomena, their routine study is strongly limited due to a lack of responsiveness and being able to take the requisite data on appropriate time-scales.The project will aim not only to enable these rapid observations, but to exploit them also. The light curves and spectra of individual object of interest will be studied, and a continuous population-scale analysis made of the resultant follow-up to critically assess and improve upon the automated selection criteria. Analysis will be done cheifly on optical and near-infra red photometric and spectroscopic data, venturing to other wavelengths (e.g. Radio, X-ray) if needed for particular objects.
天体物理瞬变是宇宙中能量巨大的事件,在人类可达的几天到几年的时间尺度上演化。它们在宇宙中的影响是巨大的-产生和释放元素周期表中的许多元素,并形成我们所知的最奇特的物体作为它们的残余物:黑洞和中子星。由于瞬变的性质,在发现和研究瞬变过程中必须发生快速反应,以提取它们提供的重要科学成果。该项目将定义并自动化天体物理瞬变的发现和表征之间的联系。它将利用引力波光学瞬变观测器设施(后藤)发现的新瞬变现象,并以目前最常人工进行的方式对这些源进行算法审查,以确定最迫切需要进一步观测和后续观测的源。一旦这一点到位,将自动触发附近的设施,包括北欧光学望远镜,利物浦望远镜,以获得这些发现的多色测光和光谱。一个关键的驱动因素将是消除典型的人为滞后的光学瞬态研究后,他们的发现,目的是获得详细的信息非常年轻的瞬变。瞬变过程中有许多非常短暂的经验特征,可以高度诊断它们的性质。例如,热核超新星的光变曲线的早期凸起,这可能表明爆炸时恒星结构的差异,以及核心坍缩超新星光谱中的短寿命,高度电离的发射特征,这可以提供对最大质量恒星质量损失性质的关键限制。虽然我们已经开始探索这些现象,但由于缺乏响应能力和能够在适当的时间尺度上获取必要的数据,它们的常规研究受到很大限制。该项目的目标不仅是实现这些快速观测,而且还将利用它们。将研究个别感兴趣物体的光变曲线和光谱,并对所得到的后续行动进行连续的人口规模分析,以严格评估和改进自动选择标准。将对光学和近红外线光度和光谱数据进行分析,如果需要特定物体,则冒险使用其他波长(例如无线电,X射线)。
项目成果
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其他文献
吉治仁志 他: "トランスジェニックマウスによるTIMP-1の線維化促進機序"最新医学. 55. 1781-1787 (2000)
Hitoshi Yoshiji 等:“转基因小鼠中 TIMP-1 的促纤维化机制”现代医学 55. 1781-1787 (2000)。
- DOI:
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LiDAR Implementations for Autonomous Vehicle Applications
- DOI:
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2021 - 期刊:
- 影响因子:0
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吉治仁志 他: "イラスト医学&サイエンスシリーズ血管の分子医学"羊土社(渋谷正史編). 125 (2000)
Hitoshi Yoshiji 等人:“血管医学与科学系列分子医学图解”Yodosha(涉谷正志编辑)125(2000)。
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Effect of manidipine hydrochloride,a calcium antagonist,on isoproterenol-induced left ventricular hypertrophy: "Yoshiyama,M.,Takeuchi,K.,Kim,S.,Hanatani,A.,Omura,T.,Toda,I.,Akioka,K.,Teragaki,M.,Iwao,H.and Yoshikawa,J." Jpn Circ J. 62(1). 47-52 (1998)
钙拮抗剂盐酸马尼地平对异丙肾上腺素引起的左心室肥厚的影响:“Yoshiyama,M.,Takeuchi,K.,Kim,S.,Hanatani,A.,Omura,T.,Toda,I.,Akioka,
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