Farr, J;
Font-Ribera, A;
des Bourboux, HDM;
Munoz-Gutierrez, A;
Javier Sanchez, F;
Pontzen, A;
Xochitl Gonzalez-Morales, A;
... Zhang, K; + view all
(2020)
LYACOLORE: synthetic datasets for current and future Lyman-alpha forest BAO surveys.
Journal of Cosmology and Astroparticle Physics
, 2020
(3)
, Article 68. 10.1088/1475-7516/2020/03/068.
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Abstract
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.
| Type: | Article |
|---|---|
| Title: | LYACOLORE: synthetic datasets for current and future Lyman-alpha forest BAO surveys |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1088/1475-7516/2020/03/068 |
| Publisher version: | https://doi.org/10.1088/1475-7516/2020/03/068 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | baryon acoustic oscillations, dark energy experiments, Lyman alpha forest, red-shift surveys |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Physics and Astronomy |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10097984 |
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