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Titlebook: Not-So-Simple Stellar Populations in Star Clusters; Chengyuan Li Book 2017 Springer Nature Singapore Pte Ltd. 2017 Progenitor molecular cl

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发表于 2025-3-21 19:58:49 | 显示全部楼层 |阅读模式
书目名称Not-So-Simple Stellar Populations in Star Clusters
编辑Chengyuan Li
视频video
概述Nominated as an outstanding Ph.D. Thesis by Peking University.Focuses on open questions of stellar populations in star clusters, providing a series of striking discoveries which offer deep insights in
丛书名称Springer Theses
图书封面Titlebook: Not-So-Simple Stellar Populations in Star Clusters;  Chengyuan Li Book 2017 Springer Nature Singapore Pte Ltd. 2017 Progenitor molecular cl
描述.This book focuses on understanding the stellar populations of massive star clusters and aims to investigate the origin, evolution and properties of binary systems, their collision products, as well as the general characteristics (e.g. ages, metal content) of stellar population(s) in star clusters. It introduces the basic background knowledge of various stellar populations in star clusters as well as their formation, interaction and evolution and offers high impact observational results on our understanding of the formation and evolution mode of star clusters. Based on these discoveries, this book proposes a series of future projects that can shed light on these topics. The research introduced in this book reveals key features of star clusters formation and by extension how all stars formed in our universe..
出版日期Book 2017
关键词Progenitor molecular cloud; Blue straggler stars; Multiple stellar populations; Galactic globular clust
版次1
doihttps://doi.org/10.1007/978-981-10-5681-9
isbn_softcover978-981-13-5461-8
isbn_ebook978-981-10-5681-9Series ISSN 2190-5053 Series E-ISSN 2190-5061
issn_series 2190-5053
copyrightSpringer Nature Singapore Pte Ltd. 2017
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Book 2017book proposes a series of future projects that can shed light on these topics. The research introduced in this book reveals key features of star clusters formation and by extension how all stars formed in our universe..
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st is introduced. The concept of matched filtering for detecting desired signals buried in noisy measurement signals is presented. It is shown that the matched filter is another name for the correlation detector or replica-correlation detector, which exploits prior knowledge in the form of an exempl
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