找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Data-Intensive Radio Astronomy; Bringing Astrophysic Eleni Vardoulaki,Marta Dembska,Matthias Hoeft Book 2024 The Editor(s) (if applicable)

[復(fù)制鏈接]
樓主: Defect
21#
發(fā)表于 2025-3-25 07:19:51 | 只看該作者
22#
發(fā)表于 2025-3-25 08:55:54 | 只看該作者
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.
23#
發(fā)表于 2025-3-25 15:28:08 | 只看該作者
24#
發(fā)表于 2025-3-25 17:06:55 | 只看該作者
25#
發(fā)表于 2025-3-25 23:14:19 | 只看該作者
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.
26#
發(fā)表于 2025-3-26 00:30:54 | 只看該作者
27#
發(fā)表于 2025-3-26 05:09:08 | 只看該作者
28#
發(fā)表于 2025-3-26 11:34:47 | 只看該作者
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.
29#
發(fā)表于 2025-3-26 14:21:35 | 只看該作者
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).
30#
發(fā)表于 2025-3-26 19:56:56 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-14 22:14
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
观塘区| 大邑县| 赫章县| 芮城县| 陵川县| 吉隆县| 顺平县| 澎湖县| 汕尾市| 麻城市| 紫云| 兴山县| 牡丹江市| 漳州市| 林芝县| 甘南县| 桃源县| 翼城县| 泗水县| 札达县| 杨浦区| 岳阳县| 岳普湖县| 德阳市| 柳林县| 大埔县| 体育| 桐庐县| 博罗县| 万载县| 邓州市| 仙桃市| 方山县| 剑川县| 沿河| 墨玉县| 明星| 潢川县| 土默特右旗| 通海县| 邻水|