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arXiv 1701.08158astro-ph.IM
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欧几里得数据处理挑战

The Euclid Data Processing Challenges

Pierre Dubath, Nikolaos Apostolakos, Andrea Bonchi, Andrey Belikov, Massimo Brescia, Stefano Cavuoti, Peter Capak, Jean Coupon, Christophe Dabin, Hubert Degaude… 展开作者

Pierre Dubath, Nikolaos Apostolakos, Andrea Bonchi, Andrey Belikov, Massimo Brescia, Stefano Cavuoti, Peter Capak, Jean Coupon, Christophe Dabin, Hubert Degaudenzi, Shantanu Desai, Florian Dubath, Adriano Fontana, Sotiria Fotopoulou, Marco Frailis, Audrey Galametz, John Hoar, Mark Holliman, Ben Hoyle, Patrick Hudelot, Olivier Ilbert, Martin Kuemmel, Martin Melchior, Yannick Mellier, Joe Mohr, Nicolas Morisset, Stéphane Paltani, Roser Pello, Stefano Pilo, Gianluca Polenta, Maurice Poncet, Roberto Saglia, Mara Salvato, Marc Sauvage, Marc Schefer, Santiago Serrano, Marco Soldati, Andrea Tramacere, Rees Williams, Andrea Zacchei

摘要:

欧几里德是欧洲领导的宇宙学太空任务,致力于对整个银河系外天空进行可见光和近红外调查。它的目的是加深我们对宇宙黑暗内容的了解。在概述了欧几里得的使命和科学之后,本文描述了社区如何组织起来面对数据分析的挑战,无论是在软件开发还是在操作数据处理方面。最后,它更具体地介绍了瑞士科学数据中心(SDC-CH)的一些主要贡献。

英文摘要:

Euclid is a Europe-led cosmology space mission dedicated to a visible and near infrared survey of the entire extra-galactic sky. Its purpose is to deepen our knowledge of the dark content of our Universe. After an overview of the Euclid mission and science, this contribution describes how the community is getting organized to face the data analysis challenges, both in software development and in operational data processing matters. It ends with a more specific account of some of the main contributions of the Swiss Science Data Center (SDC-CH).

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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