Cuceu, Andrei;
Font-Ribera, Andreu;
Martini, Paul;
Joachimi, Benjamin;
Nadathur, Seshadri;
Rich, James;
González-Morales, Alma X;
... Farr, James; + view all
(2023)
The Alcock–Paczyński effect from Lyman-α forest correlations: analysis validation with synthetic data.
Monthly Notices of the Royal Astronomical Society
, 523
(3)
pp. 3773-3790.
10.1093/mnras/stad1546.
Preview |
Text
2209.12931.pdf - Accepted Version Download (969kB) | Preview |
Abstract
The three-dimensional distribution of the Ly α forest has been extensively used to constrain cosmology through measurements of the baryon acoustic oscillations (BAO) scale. However, more cosmological information could be extracted from the full shapes of the Ly α forest correlations through the Alcock–Paczyński (AP) effect. In this work, we prepare for a cosmological analysis of the full shape of the Ly α forest correlations by studying synthetic data of the extended Baryon Oscillation Spectroscopic Survey (eBOSS). We use a set of 100 eBOSS synthetic data sets in order to validate such an analysis. These mocks undergo the same analysis process as the real data. We perform a full-shape analysis on the mean of the correlation functions measured from the 100 eBOSS realizations, and find that our model of the Ly α correlations performs well on current data sets. We show that we are able to obtain an unbiased full-shape measurement of DM/DH(zeff), where DM is the transverse comoving distance, DH is the Hubble distance, and zeff is the effective redshift of the measurement. We test the fit over a range of scales, and decide to use a minimum separation of rₘᵢₙ = 25 h−¹Mpc. We also study and discuss the impact of the main contaminants affecting Ly α forest correlations, and give recommendations on how to perform such analysis with real data. While the final eBOSS Ly α BAO analysis measured DM/DH(zeff = 2.33) with 4 per cent statistical precision, a full-shape fit of the same correlations could provide an ∼2 per cent measurement.
| Type: | Article |
|---|---|
| Title: | The Alcock–Paczyński effect from Lyman-α forest correlations: analysis validation with synthetic data |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1093/mnras/stad1546 |
| Publisher version: | https://doi.org/10.1093/mnras/stad1546 |
| 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. - . For the purpose of open access, the authors have applied a CC BY public copyright licence to any Author Accepted Manuscript version arising. |
| Keywords: | methods: data analysis, distance scale, large-scale structure of Universe |
| 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.ucl.ac.uk/id/eprint/10172661 |
Archive Staff Only
 |
View Item |
