Data-Intensive Radio Astronomy: Bringing Astrophysics to the Exabyte Era
暫譯: 數據密集型無線天文學：將天體物理學帶入艾克薩字節時代
Vardoulaki, Eleni, Dembska, Marta, Drabent, Alexander
- 出版商: Springer
- 出版日期: 2024-11-08
- 售價: $6,720
- 貴賓價: 9.5 折 $6,384
- 語言: 英文
- 頁數: 480
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3031584678
- ISBN-13: 9783031584671
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相關分類:
物理學 Physics
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相關主題
商品描述
This book brings together the knowledge of several different research fields to present an overview of current state-of-the-art methods in data-intensive radio astronomy. Its approach is comprehensive and data-centric, offering a coherent look at the four distinct parts of the data lifecycle:
- Data creation, storage and archives
- Data processing
- Post-processing and data analysis
- Data access and reuse
Written by experts across astrophysics, high-energy particle physics, data science, and computer science, this volume will help researchers and advanced students better understand the current state of data-intensive radio astronomy and tackle the major problems that may arise from future instruments.
商品描述(中文翻譯)
無線電天文學正不可逆轉地邁向 exabyte 時代。在全空域無線電觀測的來臨下，管理所產生的大量數據的高效工具和方法變得至關重要。
本書匯集了幾個不同研究領域的知識，提供了數據密集型無線電天文學當前最先進方法的概述。其方法是全面且以數據為中心，對數據生命周期的四個不同部分提供了一個連貫的視角：
- 數據創建、存儲和檔案
- 數據處理
- 後處理和數據分析
- 數據訪問和重用
大型數據管理在天文社群中已討論了數十年。本書探討的一些相關領域包括：干涉儀和計算設施的持續技術創新；無線電望遠鏡項目（如 LOFAR、MeerKat、ASKAP）所面臨的巨大處理需求的困難及可能的解決方案；可靠且快速的存儲概念以進行檔案存儲；等等。
本書由來自天體物理學、高能粒子物理學、數據科學和計算機科學的專家撰寫，將幫助研究人員和高級學生更好地理解數據密集型無線電天文學的當前狀態，並應對未來儀器可能出現的主要問題。
作者簡介
Eleni Vardoulaki is an astrophysicist working as coordinator for data-intensive radio astronomy at the Thüringer Landessternwarte Tautenburg (TLS). She obtained her Bachelors in Science in Physics from the University of Ioannina, Greece, in 2002, specializing in astrophysics. She obtained her Doctor of Philosophy in Astrophysics from the University of Oxford in 2010. She has worked as postdoctoral researcher at Centro de Astrofisica da Universidade do Porto (CAUP) in Porto, Portugal, as a research fellow at the University of Crete (Greece), as a visitor researcher at the California Institute of Technology (Caltech) in Pasadena (USA), as a postdoctoral researcher at the Argelander-Institut für Astronomie (AIfA) in Bonn (Germany) and at the Max-Planck-Institut für Radioastronomie (MPIfR) in Bonn (Germany). Her expertise is on extragalactic radio sources associated with active galactic nuclei (AGN). She is interested in the physical properties of AGN, their host galaxies and relation to environment, disentangling AGN and star formation, as well as machine learning and artificial intelligence. She is a science communicator (Rogue Astrophysics, Astronomy on Tap) and TEDx speaker.
Marta Dembska adopts an interdisciplinary approach, engaging in fundamental research that encompasses radio astronomy, experimental science, and laboratory experiments, complemented by a proficiency in data science. Currently, she focuses her research on topics particularly relevant for advancing scientific workflows. This includes Research Data Management, data provenance and FAIR principles for scientific data management. She graduated with honours, attaining a BSc in technical physics specialized in computers in physical measurement in 2007, followed by an MSc in computer physics in 2010, both from the University of Zielona Góra. She subsequently earned her PhD in radio astronomy in 2013 at the same university, with her dissertation receiving honours. She's been a research fellow at the German Aerospace Center (DLR) since 2014. Her scholarly interests encompass (meta)data management and data analysis, where she utilises her extensive expertise to bridge diverse interdisciplinary domains.
Alexander Drabent, born in 1986 in Leinefelde (Germany), obtained his doctorate at the Friedrich Schiller University in Jena (Germany), in physics on diffuse radio emission in merging galaxy clusters. Since 2012 he has been a research fellow at the Thüringer Landessterwarte in Tautenburg in Germany and has specialized in the field of radio astronomy. He works on software development and data processing for the Low Frequency Array (LOFAR), in particular the regime of calibration and data reduction pipelines.
Matthias Hoeft leads the radio astronomy group at the Thüringer Landessternwarte (TLS). He is in particular interested in radio galaxies, clusters of galaxies and the large-scale structure in the universe. The TLS operates one station of Low Frequency Array (LOFAR), which allows researchers to study the radio sky at very low frequencies with unprecedented resolution and sensitivity. Hoeft leads the processing of LOFAR data on supercomputers of the Forschungszentrum Jülich. Moreover, Hoeft participates in the PUNCH4NFDI consortium.
作者簡介(中文翻譯)
Eleni Vardoulaki 是一位天體物理學家，目前擔任圖林根州立天文台 (Thüringer Landessternwarte Tautenburg, TLS) 的數據密集型無線電天文學協調員。她於2002年在希臘伊奧尼納大學獲得物理學學士學位，專攻天體物理學。2010年，她在牛津大學獲得天體物理學博士學位。她曾在葡萄牙波爾圖的波爾圖大學天體物理中心 (Centro de Astrofisica da Universidade do Porto, CAUP) 擔任博士後研究員，並在希臘克里特大學擔任研究員，還曾在美國加州理工學院 (California Institute of Technology, Caltech) 擔任訪問研究員，以及在德國波恩的阿爾格蘭德天文研究所 (Argelander-Institut für Astronomie, AIfA) 和馬克斯·普朗克無線電天文研究所 (Max-Planck-Institut für Radioastronomie, MPIfR) 擔任博士後研究員。她的專長是與活動星系核 (Active Galactic Nuclei, AGN) 相關的星系外無線電源。她對 AGN 的物理特性、其宿主星系及其與環境的關係、AGM 與恆星形成的區分，以及機器學習和人工智慧等領域感興趣。她也是一位科學傳播者 (Rogue Astrophysics, Astronomy on Tap) 和 TEDx 演講者。
Marta Dembska 採取跨學科的方法，從事涵蓋無線電天文學、實驗科學和實驗室實驗的基礎研究，並具備數據科學的專業知識。目前，她專注於推進科學工作流程的相關主題，包括研究數據管理、數據來源及科學數據管理的 FAIR 原則。她於2007年以優異成績畢業，獲得技術物理學學士學位，專攻物理測量中的計算機，並於2010年獲得計算物理學碩士學位，均來自齊隆納·古拉大學 (University of Zielona Góra)。隨後，她於2013年在同一所大學獲得無線電天文學博士學位，並且其論文獲得榮譽。自2014年以來，她一直是德國航空航天中心 (DLR) 的研究員。她的學術興趣包括 (meta) 數據管理和數據分析，並利用其廣泛的專業知識來橋接不同的跨學科領域。
Alexander Drabent 於1986年出生於德國萊內費爾德，他在耶拿的弗里德里希·席勒大學獲得物理學博士學位，研究主題為合併星系團中的擴散無線電輻射。自2012年以來，他一直是德國圖林根州立天文台的研究員，專注於無線電天文學領域。他從事低頻陣列 (Low Frequency Array, LOFAR) 的軟體開發和數據處理，特別是在校準和數據減少管道的範疇內。
Matthias Hoeft 領導圖林根州立天文台 (TLS) 的無線電天文學小組。他特別對無線電星系、星系團和宇宙的大尺度結構感興趣。TLS 操作著一個低頻陣列 (LOFAR) 的站點，使研究人員能夠以前所未有的解析度和靈敏度研究無線電天空。Hoeft 負責在尤利希研究中心 (Forschungszentrum Jülich) 的超級計算機上處理 LOFAR 數據。此外，Hoeft 參與了 PUNCH4NFDI 聯盟。
