The Modeling Landscape of Extragalactic CO in CMB Surveys

TL;DR

This paper explores the uncertainty in modeling extragalactic CO emission and its impact on CMB surveys, emphasizing the need to consider a broad range of models to avoid biases in cosmological measurements.

Contribution

It provides a comprehensive analysis of CO emission uncertainties, their effects on CMB foregrounds, and proposes a simplified parameter set for future high-precision CMB experiments.

Findings

CO auto-spectra vary up to two orders of magnitude.

Cross-correlation of CO with CIB is a significant foreground in future surveys.

Neglecting CO can bias CMB foreground estimates, affecting cosmological parameters.

Abstract

Extragalactic carbon monoxide (CO) line emission will likely be an important signal in current and future Cosmic Microwave Background (CMB) surveys on small scales. However, great uncertainty surrounds our current understanding of CO emission. We investigate the implications of this modeling uncertainty on CMB surveys. Using a range of star formation rate and luminosity relations, we generate a suite of CO simulations across cosmic time, together with the broadband cosmic infrared background (CIB). From these, we quantify the power spectrum signatures of CO that we would observe in a CMB experiment at 90, 150, and 220 GHz. We find that the resulting range of CO auto-spectra spans up to two orders of magnitude and that while CO on its own is unlikely to be detectable in current CMB experiments, its cross-correlation with the CIB will be a significant CMB foreground in future surveys. We then forecast the bias on CMB foregrounds that would result if CO were neglected in a CMB power spectrum analysis, finding shifts that can be comparable to some of the uncertainties on CMB foreground constraints from recent surveys, particularly for the thermal and kinetic Sunyaev-Zel'dovich effects and radio sources, and many times greater than the expected uncertainties expected for future data. Finally, we assess how the broad range of multifrequency CO$\times$CIB spectra we obtain is captured by a reduced parameter set by performing a principal component analysis, finding that three amplitude parameters suffice for a CMB-S4-like survey. Our results demonstrate the importance for future CMB experiments to account for a wide range of CO modeling, and that high-precision CMB experiments may help constrain extragalactic CO models.