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  • 标题:EGG: hatching a mock Universe from empirical prescriptions
  • 本地全文:下载
  • 作者:C. Schreiber ; C. Schreiber ; D. Elbaz
  • 期刊名称:Astronomy & Astrophysics
  • 印刷版ISSN:0004-6361
  • 电子版ISSN:1432-0746
  • 出版年度:2017
  • 卷号:602
  • 页码:1-24
  • DOI:10.1051/0004-6361/201629123
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:This paper introduces egg, the Empirical Galaxy Generator, a tool designed within the ASTRODEEP collaboration to generate mock galaxy catalogs for deep fields with realistic fluxes and simple morphologies. The simulation procedure is based exclusively on empirical prescriptions – rather than first principles – to provide the most accurate match with current observations at 0
  • 关键词:engalaxies: photometrygalaxies: evolutiongalaxies: statisticsgalaxies: structure
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