Comparing submillimeter polarized emission with near-infrared polarization of background stars for the Vela C molecular cloud

TL;DR

This study combines near-infrared and submillimeter polarization data for the Vela C molecular cloud to measure the polarization efficiency ratio, providing insights into dust grain properties in molecular clouds.

Contribution

First direct combination of near-IR and sub-mm polarization data for a molecular cloud to measure the polarization efficiency ratio, testing dust grain models.

Findings

Estimated average polarization efficiency ratio R_eff = 2.4 ± 0.8.

R_eff is relatively constant across different cloud depths.

Data supports the use of polarization ratios to probe dust grain properties.

Abstract

We present a large-scale combination of near-infrared (near-IR) interstellar polarization data from background starlight with polarized emission data at submillimeter (sub-mm) wavelengths for the Vela C molecular cloud. The near-IR data consist of more than 6700 detections probing a range of visual extinctions between $2$ and $20\,$mag in and around the cloud. The sub-mm data was collected in Antartica by the Balloon-borne Large Aperture Submillimeter Telescope for Polarimetry (BLASTPol). This is the first direct combination of near-IR and sub-mm polarization data for a molecular cloud aimed at measuring the "polarization efficiency ratio" ($R_{\mathrm{eff}}$), a quantity that is expected to depend only on grain intrinsic physical properties. It is defined as $p_{500}/(p_{I}/\tau_{V})$, where $p_{500}$ and $p_{I}$ are polarization fractions at $500\,\mu$m and $I$-band, respectively, and $\tau_{V}$ is the optical depth. To ensure that the same column density of material is producing both polarization from emission and from extinction, we conducted a careful selection of near-background stars using 2MASS, $Herschel$ and $Planck$ data. This selection excludes objects contaminated by the Galactic diffuse background material as well as objects located in the foreground. Accounting for statistical and systematic uncertainties, we estimate an average $R_{\mathrm{eff}}$ value of $2.4\pm0.8$, which can be used to test the predictions of dust grain models designed for molecular clouds when such predictions become available. $R_{\mathrm{eff}}$ appears to be relatively flat as a function of the cloud depth for the range of visual extinctions probed.