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Title: LyaCoLoRe: synthetic datasets for current and future Lyman-α forest BAO surveys

Journal Article · · Journal of Cosmology and Astroparticle Physics
 [1];  [1];  [2];  [3];  [4];  [1];  [5];  [6];  [1];  [1];  [7];  [8];  [7];  [3];  [7];  [9];  [7];  [10];  [11];  [12] more »;  [8] « less
  1. Univ. College London (United Kingdom)
  2. Univ. of Utah, Salt Lake City, UT (United States)
  3. Univ. Nacional Autonoma de Mexico (UNAM), Mexico City (Mexico)
  4. Univ. of California, Irvine, CA (United States); Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
  5. Univ. of Guanajuato (Mexico); Consejo Nacional de Ciencia y Tecnologia, Mexico City (Mexico)
  6. Univ. of Oxford (United Kingdom)
  7. Univ. Paris-Saclay, Gif-sur-Yvette (France)
  8. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  9. Sorbonne Univ., Paris (France)
  10. Brookhaven National Lab. (BNL), Upton, NY (United States)
  11. Univ. of Michigan, Ann Arbor, MI (United States)
  12. Boston Univ., MA (United States)

© 2020 IOP Publishing Ltd and Sissa Medialab. The statistical power of Lyman-α forest Baryon Acoustic Oscillation (BAO) measurements is set to increase significantly in the coming years as new instruments such as the Dark Energy Spectroscopic Instrument deliver progressively more constraining data. Generating mock datasets for such measurements will be important for validating analysis pipelines and evaluating the effects of systematics. With such studies in mind, we present LyaCoLoRe: A package for producing synthetic Lyman-α forest survey datasets for BAO analyses. LyaCoLoRe transforms initial Gaussian random field skewers into skewers of transmitted flux fraction via a number of fast approximations. In this work we explain the methods of producing mock datasets used in LyaCoLoRe, and then measure correlation functions on a suite of realisations of such data. We demonstrate that we are able to recover the correct BAO signal, as well as large-scale bias parameters similar to literature values. Finally, we briefly describe methods to add further astrophysical effects to our skewers-high column density systems and metal absorbers-which act as potential complications for BAO analyses.

Research Organization:
Univ. of Michigan, Ann Arbor, MI (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), High Energy Physics (HEP); National Science Foundation (NSF)
Grant/Contract Number:
SC0019193; AC02-05CH1123; AST-0950945; ST/N003853/1; ST/R000476/1
OSTI ID:
1682234
Alternate ID(s):
OSTI ID: 1737605
Journal Information:
Journal of Cosmology and Astroparticle Physics, Vol. 2020, Issue 03; ISSN 1475-7516
Publisher:
Institute of Physics (IOP)Copyright Statement
Country of Publication:
United States
Language:
English

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