Cross-correlations as a cosmological carbon monoxide detector
Anthony Pullen, Tzu-Ching Chang, Olivier Dore, Adam Lidz

TL;DR
This paper introduces a new method to measure large-scale cosmic CO emissions via cross-correlation with LSS tracers, using CMB data, and discusses its potential and challenges with current and future experiments.
Contribution
The paper develops a novel cross-correlation model for CO emissions with LSS tracers and explores extracting signals from WMAP data, proposing future observational strategies.
Findings
No detection of CO cross-correlation in WMAP data due to noise.
Able to rule out models significantly larger than optimistic predictions.
Forecasts suggest high signal-to-noise ratios with future dedicated experiments.
Abstract
We present a new procedure to measure the large-scale carbon monoxide (CO) emissions across cosmic history. As a tracer of large-scale structure (LSS), the CO gas content as a function of redshift can be quantified by its three-dimensional fluctuation power spectra. Furthermore, cross-correlating CO emission with other LSS tracers offers a way to measure the emission as a function of scale and redshift. Here we introduce the model relevant for such a cross-correlation measurement between CO and other LSS tracers, and between different CO rotational lines. We propose a novel use of Cosmic Microwave Background (CMB) data and attempt to extract redshifted CO emissions embedded in the Wilkinson Microwave Anisotropy Probe (WMAP) dataset. We cross-correlate the all-sky WMAP7 data with LSS data sets, namely, the photometric quasar sample and the luminous red galaxy sample from the Sloan…
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