Photometric Mapping of Carbonaceous/Siliceous Dust and Water Ice in the ISM with JWST: Applications to the Dense Sightlines

TL;DR

This paper presents a new photometric mapping technique using JWST to measure the distribution of dust and ice in the interstellar medium, enabling extensive and efficient spatial analysis.

Contribution

The study introduces a novel photometric method utilizing JWST filters to map dust and ice in the ISM, validated with observational data and simulations for accuracy.

Findings

Photometric method accurately measures optical depths of dust and ice features.

JWST optical depth maps allow detailed spatial analysis of grain component distributions.

Method enables wide-field, low-cost statistical studies of the ISM.

Abstract

We introduce a new photometric mapping method for the James Webb Space Telescope (JWST) to measure the spatial distribution of carbonaceous dust, siliceous dust and water ice by using absorption features arising from the grains in the dense interstellar medium (ISM). Employing NIRCam and MIRI imaging filters, low-resolution spectroscopic data can be obtained to measure the optical depths of the 3.0-$\mu$m water ice -OH feature, the 3.4-$\mu$m aliphatic hydrocarbon -CH feature, and the 10-$\mu$m silicate -SiO feature for large fields of view. This method provides extensive statistical data of the grains across wide fields in the ISM at minimal observing cost. In this study, we present its application on observational data from the literature to validate the measured optical depths and simulations to assess the accuracy of the method under various conditions. We showed that the photometric method can be employed to obtain reasonably accurate measurements of optical depth. We demonstrate that JWST optical depth maps enable the independent exploration of abundance distributions of major grain components across a wide spatial coverage in the ISM.