Feature Intensity Mapping: Polycyclic Aromatic Hydrocarbon Emission from All Galaxies Across Cosmic Time

TL;DR

This paper introduces feature intensity mapping, a new extension of line intensity mapping, to map broad spectral features like PAH emissions across cosmic time, enabling 3D mapping of galaxy emissions with upcoming infrared surveys.

Contribution

The paper presents a novel technique called feature intensity mapping that extends LIM to broad spectral features, allowing simultaneous multi-feature constraints across redshift.

Findings

Potential to detect PAH signals with S/N > 10 in upcoming surveys

Feasibility of 3D mapping of PAH emission across various redshifts

Promising prospects for cosmological studies using infrared spectral features

Abstract

Line intensity mapping (LIM) is an emerging technique for probing the aggregate emission of a spectral line from all sources, without requiring individual detections. Through the wavelength-redshift relation, one can map the line-of-sight evolution of the line emission that traces the underlying large-scale structure in a spectral-imaging survey. In this work, we present a new technique -- feature intensity mapping -- as an extension of the LIM formalism to map broad spectral features in 3D, rather than the narrow emission lines typically targeted by LIM. By accounting for the convolution of spectral features with the instrument's spectral response across redshift, our technique enables simultaneous constraints on the redshift-dependent emission from multiple features. This approach enables 3D intensity mapping with some of the brightest features in the infrared spectra of galaxies: the polycyclic aromatic hydrocarbon (PAH) emission bands. We forecast the detectability of PAH signals using feature intensity mapping with the ongoing SPHEREx mission in the near-infrared and the proposed PRIMA mission in the far-infrared. We find that $S/N$ of $\gtrsim 10$ per redshift bin of widths $\Delta z = 0.1$ and $0.5$ can be achieved at $z < 0.5$ and $1 < z < 5$ with SPHEREx and PRIMA, respectively, for multiple PAH features, suggesting a promising prospect for mapping the aggregate PAH emission at cosmological distances with upcoming datasets.