The SPHEREx Ices Investigation: An Overview

TL;DR

The SPHEREx Ices Investigation uses a comprehensive all-sky spectroscopic survey to analyze molecular ices on interstellar dust, aiming to understand their distribution, environmental dependencies, and role in prebiotic chemistry within the Milky Way.

Contribution

This paper introduces a novel large-scale spectroscopic survey approach focusing on molecular ices, utilizing machine learning for data analysis and enabling statistical studies of ice-environment relationships.

Findings

High signal-to-noise spectra of nearly ten million sources obtained.

Correlation between ice abundances and environmental parameters established.

A new data pipeline incorporating machine learning for spectral analysis developed.

Abstract

SPHEREx is a NASA mission designed to perform an all-sky spectroscopic survey in the 0.75 - 5 $\mu$m wavelength range. Its primary science objectives are to investigate: (1) inflationary cosmology, (2) the history of galaxy formation, and (3) the abundance of molecular ices - critical for prebiotic chemistry - found on the surfaces of interstellar dust grains within planet-forming regions. This paper focuses on the third theme, the SPHEREx Ices investigation, for which SPHEREx is conducting a spectroscopic survey of nearly ten million preselected sources throughout the Milky Way and Magellanic Clouds to characterize their ice absorption features. By selecting targets based on infrared color, spatial isolation, and brightness, the Ices Investigation secures high-signal-to-noise spectra across a broad range of astrophysical environments that are relatively free of spectral contamination. Rather than attempting to decompose each spectrum into its individual ice components, the Ices Investigation prioritizes accurate measurements of the integrated optical depths of key molecular ice absorption features. This approach enables statistically powerful correlation studies between ice abundances and environmental parameters - including extinction, temperature, gas composition, radiation field strength, cosmic ray flux, and star formation activity. The data pipeline developed for this purpose incorporates machine learning for continuum estimation, drawing on both SPHEREx and ancillary datasets. Ultimately, the expansive spectral archive produced by SPHEREx, combined with targeted follow-up from facilities like JWST, will transform our understanding of Galactic ice formation, evolution, abundance and their inheritance into planetary systems and prebiotic inventories.