The Target-selection Pipeline for the Dark Energy Spectroscopic Instrument

分类： 天文学 >> 天文学 提交时间： 2023-02-19

Adam D. Myers John Moustakas Stephen Bailey Benjamin A. Weaver Andrew P. Cooper Jaime E. Forero-Romero Bela Abolfathi David M. Alexander David Brooks Edmond Chaussidon Chia-Hsun Chuang Kyle Dawson Arjun Dey Biprateep Dey Govinda Dhungana Peter Doel Kevin Fanning Enrique Gaztañaga Satya Gontcho A Gontcho Alma X. Gonzalez-Morales

摘要： In 2021 May, the Dark Energy Spectroscopic Instrument (DESI) began a 5 yr survey of approximately 50 million total extragalactic and Galactic targets. The primary DESI dark-time targets are emission line galaxies (ELGs), luminous red galaxies (LRGs) and quasars (QSOs). In bright time, DESI will focus on two surveys known as the Bright Galaxy Survey (BGS) and the Milky Way Survey (MWS). DESI also observes a selection of "secondary" targets for bespoke science goals. This paper gives an overview of the publicly available pipeline (desitarget) used to process targets for DESI observations. Highlights include details of the different DESI survey targeting phases, the targeting ID (TARGETID) used to define unique targets, the bitmasks used to indicate a particular type of target, the data model and structure of DESI targeting files, and examples of how to access and use the desitarget code base. This paper will also describe "supporting" DESI target classes, such as standard stars, sky locations, and random catalogs that mimic the angular selection function of DESI targets. The DESI target selection pipeline is complex and sizable; this paper attempts to summarize the most salient information required to understand and work with DESI targeting data.

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