English

Optimal 1D Ly$\alpha$ Forest Power Spectrum Estimation -- II. KODIAQ, SQUAD & XQ-100

Cosmology and Nongalactic Astrophysics 2022-12-02 v2

Abstract

We measure the 1D Lyα\,\alpha power spectrum P1DP_\mathrm{1D} from Keck Observatory Database of Ionized Absorption toward Quasars (KODIAQ), The Spectral Quasar Absorption Database (SQUAD) and XQ-100 quasars using the optimal quadratic estimator. We combine KODIAQ and SQUAD at the spectrum level, but perform a separate XQ-100 estimation to control its large resolution corrections in check. Our final analysis measures P1DP_\mathrm{1D} at scales k<0.1k<0.1\,s\,km1^{-1} between redshifts z=z= 2.0 -- 4.6 using 538 quasars. This sample provides the largest number of high-resolution, high-S/N observations; and combined with the power of optimal estimator it provides exceptional precision at small scales. These small-scale modes (k0.02k\gtrsim 0.02\,s\,km1^{-1}), unavailable in Sloan Digital Sky Survey (SDSS) and Dark Energy Spectroscopic Instrument (DESI) analyses, are sensitive to the thermal state and reionization history of the intergalactic medium, as well as the nature of dark matter. As an example, a simple Fisher forecast analysis estimates that our results can improve small-scale cut off sensitivity by more than a factor of 2.

Keywords

Cite

@article{arxiv.2108.10870,
  title  = {Optimal 1D Ly$\alpha$ Forest Power Spectrum Estimation -- II. KODIAQ, SQUAD & XQ-100},
  author = {Naim Göksel Karaçaylı and Nikhil Padmanabhan and Andreu Font-Ribera and Vid Iršič and Michael Walther and David Brooks and Enrique Gaztañaga and Robert Kehoe and Michael Levi and Pierros Ntelis and Nathalie Palanque-Delabrouille and Gregory Tarlé},
  journal= {arXiv preprint arXiv:2108.10870},
  year   = {2022}
}