標題: Titlebook: Data-Intensive Radio Astronomy; Bringing Astrophysic Eleni Vardoulaki,Marta Dembska,Matthias Hoeft Book 2024 The Editor(s) (if applicable) [打印本頁] 作者: Defect 時間: 2025-3-21 20:03
書目名稱Data-Intensive Radio Astronomy影響因子(影響力)
書目名稱Data-Intensive Radio Astronomy影響因子(影響力)學(xué)科排名
書目名稱Data-Intensive Radio Astronomy網(wǎng)絡(luò)公開度
書目名稱Data-Intensive Radio Astronomy網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Data-Intensive Radio Astronomy被引頻次
書目名稱Data-Intensive Radio Astronomy被引頻次學(xué)科排名
書目名稱Data-Intensive Radio Astronomy年度引用
書目名稱Data-Intensive Radio Astronomy年度引用學(xué)科排名
書目名稱Data-Intensive Radio Astronomy讀者反饋
書目名稱Data-Intensive Radio Astronomy讀者反饋學(xué)科排名
作者: MIME 時間: 2025-3-21 21:28
Astrophysics and Space Science Libraryhttp://image.papertrans.cn/e/image/284466.jpg作者: 保存 時間: 2025-3-22 00:34 作者: LIKEN 時間: 2025-3-22 04:53 作者: 迅速成長 時間: 2025-3-22 10:20
Introduction,nd give a short introduction to radio astronomy. Additionally, we present current and upcoming radio observatories around the world and their specifications. Finally, we introduce the concept of data-intensive radio astronomy and of the data lifecycle.作者: canonical 時間: 2025-3-22 14:48
nd give a short introduction to radio astronomy. Additionally, we present current and upcoming radio observatories around the world and their specifications. Finally, we introduce the concept of data-intensive radio astronomy and of the data lifecycle.作者: canonical 時間: 2025-3-22 17:12
Prediction and Tolerance Intervals,duction and the storage of derived data products. We discuss dynamic filtering and dynamic archiving that can be applied to reduce the amount of data to be stored to acceptable proportions. The use of parallelisation for processing is then discussed. We continue with reflections on the needs for rep作者: AER 時間: 2025-3-22 21:50 作者: 種類 時間: 2025-3-23 04:53
le, in particular with respect to High Performance Computing (HPC) systems. This chapter discusses the most recent advances in this area. Firstly, we address a new type of computing facilities, based on combining both CPUs and accelerators as GPUs and FPGAs into heterogeneous HPC systems. Secondly, 作者: 伙伴 時間: 2025-3-23 09:12
those data products. In this chapter, we briefly describe the origins and behaviour of several different computational challenges in radio astronomy. We start with the causes of the scaling towards ever larger data volumes, discuss the software landscape in radio astronomy, and give an overview of 作者: Medley 時間: 2025-3-23 09:50
cant volumes of data expected. Such leaps would not be possible without understanding and learning from the instruments that have gone before. Following from the discussion of the general scientific and computational challenges of radio astronomy, in this chapter we present a description of the data作者: 狗舍 時間: 2025-3-23 16:41
that will be orders of magnitude above any existing radio telescope. This development necessitates the adoption of new data processing approaches that take advantage of latest-generation computing facilities and analysis algorithms. In this chapter, we consider associated challenges from the viewpo作者: Ophthalmologist 時間: 2025-3-23 21:17
Oxalacetic decarboxylase and related enzymesets. It summarises traditional and more recent approaches for identifying and measuring sources, both blindly and in conjunction with complementary data, and explores the challenges arising from how to reliably handle complex, extended, and multicomponent objects. It distinguishes between the detect作者: 不要嚴酷 時間: 2025-3-24 01:38 作者: Enteropathic 時間: 2025-3-24 06:11 作者: UTTER 時間: 2025-3-24 09:14
Friedrich H. Bruns,Hans Reinauerate radio data. Sometimes these tools are shared across the field of astronomy and shared through multiple types of analysis. In this case, we try to provide examples drawn from multi-wavelength astronomy. In the last part of this chapter, we focus our attention on describing novel software/tools th作者: 的’ 時間: 2025-3-24 12:27 作者: initiate 時間: 2025-3-24 18:50
https://doi.org/10.1007/978-3-476-03950-7ing reliability and reproducibility within radio astronomy and other scientific disciplines. This chapter begins by outlining how astronomical provenance is modeled within the International Virtual Observatory Alliance (IVOA) and their extensions to the W3C PROV model. The subsequent segment delves 作者: oracle 時間: 2025-3-24 19:10 作者: 大看臺 時間: 2025-3-25 00:12
Epilepsie en slaperigheid overdagronomy is experiencing a radical transformation. The vast datasets generated by current and upcoming surveys are posing new challenges, in terms of calibration, data processing, transfer, and storage, requiring new approaches in automation and in the minimisation of data irreversibility. As we open 作者: EPT 時間: 2025-3-25 07:19 作者: Morphine 時間: 2025-3-25 08:55
nd give a short introduction to radio astronomy. Additionally, we present current and upcoming radio observatories around the world and their specifications. Finally, we introduce the concept of data-intensive radio astronomy and of the data lifecycle.作者: 解凍 時間: 2025-3-25 15:28 作者: obtuse 時間: 2025-3-25 17:06 作者: 金絲雀 時間: 2025-3-25 23:14
Friedrich H. Bruns,Hans Reinauerrsatility to learn complex representations and shapes of radio signals. We highlight how dimensionality reduction, anomaly detection and uncertainty estimation based on machine learning controls the quality, robustness and understanding of AI-derived radio astronomical results.作者: burnish 時間: 2025-3-26 00:30 作者: 自然環(huán)境 時間: 2025-3-26 05:09 作者: BILL 時間: 2025-3-26 11:34
Computing Infrastructureproducibility. Finally, we conclude by providing an overview on how some recent yet widely adopted cloud-native technologies, as last-generation container orchestrators, can converge together with HPC-specific ones towards higher-level, unified frameworks.作者: 清楚 時間: 2025-3-26 14:21
Other Types of Source Extraction and Identificationg facilities like the Square Kilometer Array. In this chapter we discuss the commonly used extraction methods of other information like spectral lines (only if within the bandwidth), polarisation (if emission is polarised), and time domain properties (if the source has time variation, e.g. in case of pulsars or fast radio bursts).作者: Androgen 時間: 2025-3-26 19:56 作者: 曲解 時間: 2025-3-26 21:40
Exploitation Platforms and Virtual Observatoryelivering radio astronomy data. Finally, the last section introduces the European initiative for Open Science in general, and the projects relevant to radio astronomy such as ESCAPE, that are foreseen to act as a platform for delivery of astronomy data and services, not only to the astronomy community but also to a broader audience.作者: Herpetologist 時間: 2025-3-27 04:19
Epilogue and Outlookravelling. Finding ways to estimate and minimise the carbon footprint of radio astronomy has become a crucial and urgent priority for our community. As we explore the Universe and look to understand its past, we must not lose sight of the future, if we want to preserve both radio astronomy and our planet for future generations.作者: 知道 時間: 2025-3-27 09:07
Prediction and Tolerance Intervals, the context of data intensive radio astronomy (FITS, Casacore Measurement Set, ADIOS/HDF5) and a discussion on methods of lossy compression that can be applied to the data. In the final section of this chapter, we introduce the ways several instruments (LOFAR, Aperitif, MeerKAT, ASKAP, ALMA and MWA) ingest data into their archives.作者: 負擔 時間: 2025-3-27 10:28 作者: 永久 時間: 2025-3-27 16:02
s a range of antenna and dish-based instruments through from single site facilities to large distributed radio arrays. We discuss each of the facilities in turn, highlighting the main challenges that drive the choices of their data processing and archiving implementations.作者: 祖?zhèn)?nbsp; 時間: 2025-3-27 21:27
Oxalacetic decarboxylase and related enzymes or datasets linking the radio source properties with other photometric and spectroscopic measurements, and informing further classification of the radio sources. It concludes with an overview of approaches being actively used in major projects with current generation leading radio telescope facilities.作者: fibula 時間: 2025-3-27 22:44
Friedrich H. Bruns,Hans Reinauerdesigned with the precise aim to solve new problems posed by, e.g. the SKA precursors and, eventually, the SKA telescope, such as the need to efficiently visualise multi-parameters data of very big size (e.g. terabyte scale) and possibly stored in a shared cloud where multiple users are working at the same time.作者: Digitalis 時間: 2025-3-28 05:58
https://doi.org/10.1007/978-3-476-03950-7my. Finally, it concludes with a retrospective look at past provenance implementations and the lessons that can be learnt from them with regards to scalability, understandability, and interoperability.作者: CHART 時間: 2025-3-28 06:42 作者: nauseate 時間: 2025-3-28 11:12
Storage and Long Term Archivesribed. We then discuss what data lakes are or how they can be used in radio astronomy and the overlap between the data needs of astronomical archives and those of high-energy physics experiments. Finally, we give an overview of how the SKA data centres are planned.作者: MEAN 時間: 2025-3-28 17:13 作者: fringe 時間: 2025-3-28 19:39
Continuum Source Identification and Measurement or datasets linking the radio source properties with other photometric and spectroscopic measurements, and informing further classification of the radio sources. It concludes with an overview of approaches being actively used in major projects with current generation leading radio telescope facilities.作者: figurine 時間: 2025-3-29 01:44
Tools for Radio/Multi-Wavelength Big Data Interrogationdesigned with the precise aim to solve new problems posed by, e.g. the SKA precursors and, eventually, the SKA telescope, such as the need to efficiently visualise multi-parameters data of very big size (e.g. terabyte scale) and possibly stored in a shared cloud where multiple users are working at the same time.作者: Grandstand 時間: 2025-3-29 05:16 作者: 引起 時間: 2025-3-29 08:41
some of the major steps of radio data processing and the nature of their computing overheads. We also present some of the unique computational challenges associated with very long baseline interferometry, and those arising from full-polarization processing of radio data.作者: CHURL 時間: 2025-3-29 13:32 作者: 人類的發(fā)源 時間: 2025-3-29 16:28
Challenges of Big Radio Data Processingsome of the major steps of radio data processing and the nature of their computing overheads. We also present some of the unique computational challenges associated with very long baseline interferometry, and those arising from full-polarization processing of radio data.作者: Arrhythmia 時間: 2025-3-29 22:50 作者: Creatinine-Test 時間: 2025-3-30 02:20
Book 2024 large data volume generated have become imperative...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作者: 思想上升 時間: 2025-3-30 06:33 作者: 類型 時間: 2025-3-30 10:51
Co-design and Software Architectureon of concerns, and with reproducibility and performance portability as primary design goals, for systems built on top of heterogeneous hardware platforms. Finally, motivated by the particular case of the LOFAR radio interferometer, we present a study on how to exploit large-scale parallel architect作者: 變化 時間: 2025-3-30 14:42
Book 2024demands of radio telescope projects such as LOFAR, MeerKat, ASKAP; concepts for reliable and fast storage for archiving; and more. ..Written by experts across astrophysics, high-energy particle physics, data science, and computer science, this volume will help researchers and advanced students bette作者: 發(fā)誓放棄 時間: 2025-3-30 18:14
on of concerns, and with reproducibility and performance portability as primary design goals, for systems built on top of heterogeneous hardware platforms. Finally, motivated by the particular case of the LOFAR radio interferometer, we present a study on how to exploit large-scale parallel architect作者: 出沒 時間: 2025-3-30 23:25
0067-0057 nd fast storage for archiving; and more. ..Written by experts across astrophysics, high-energy particle physics, data science, and computer science, this volume will help researchers and advanced students bette978-3-031-58470-1978-3-031-58468-8Series ISSN 0067-0057 Series E-ISSN 2214-7985 作者: considerable 時間: 2025-3-31 04:32
Introduction,nd give a short introduction to radio astronomy. Additionally, we present current and upcoming radio observatories around the world and their specifications. Finally, we introduce the concept of data-intensive radio astronomy and of the data lifecycle.作者: 花束 時間: 2025-3-31 08:28 作者: Aura231 時間: 2025-3-31 11:19
Storage and Long Term Archivessystem and explain what caching is and why it is used. Secondly, we describe in detail current solutions for data from the LOFAR, ASKAP, Apertif and ALMA radio telescopes. We then explain which data transfer protocols are commonly used and describe them. Thirdly, we present federated storage infrast作者: 勉勵 時間: 2025-3-31 16:27
Computing Infrastructurele, in particular with respect to High Performance Computing (HPC) systems. This chapter discusses the most recent advances in this area. Firstly, we address a new type of computing facilities, based on combining both CPUs and accelerators as GPUs and FPGAs into heterogeneous HPC systems. Secondly, 作者: 沉默 時間: 2025-3-31 18:06
Challenges of Big Radio Data Processing those data products. In this chapter, we briefly describe the origins and behaviour of several different computational challenges in radio astronomy. We start with the causes of the scaling towards ever larger data volumes, discuss the software landscape in radio astronomy, and give an overview of
