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

Santos, Fabio P.; Ade, Peter; Angilè, Francesco E.; Ashton, Peter; Benton, Steven J.; Devlin, Mark J.; Dober, Bradley; Fissel, Laura M.; Fukui, Yasuo; Galitzki, Nicholas; Gandilo, Natalie; Klein, Jeffrey; Li, Zhi-Yun; Korotkov, Andrei; Martin, Peter G.; Matthews, Tristan; Moncelsi, Lorenzo; nakamura, fumitaka; Barth Netterfield, Calvin; Novak, Giles; Pascale, Enzo; Poidevin, F.; Savini, Giorgio; Scott, Douglas; Shariff, Jamil; Soler, Juan D.; Thomas, Nicholas; tucker, carole; Tucker, Gregory S.; Ward-Thompson, Derek; BLASTPOL
Bibliographical reference

American Astronomical Society, AAS Meeting #228, id.#405.03

Advertised on:
6
2016
Number of authors
31
IAC number of authors
1
Citations
1
Refereed citations
1
Description
We present a large-scale combination of near-infrared (near-IR) interstellar polarization data from background starlight, with polarized emission data at sub-millimetric (sub-mm) bands for the Vela C molecular cloud. The sub-mm data were obtained by the Balloon-borne Large Aperture Submillimeter Telescope for Polarimetry (BLASTPol) during the 2012 flight in Antartica. The near-IR data consist of more than 6700 detections in the I-band, covering a wide area around the cloud, mostly in the range of visual extinctions between 2 and 16 mag. The main goal was to determine the polarization efficiency ratio Reff , defined as p500/(pI/τV), where p500 is the polarization fraction at 500 μm and optical depths τV are estimated from cataloged near-IR photometry. To ensure that the same column density of material is producing both polarization from emission and extinction, we introduce a new method to select stars that are located in the near-background, the Gaussian-logistic (GL) technique. The polarization efficiency ratio is critically affected by stellar objects with background contamination from the diffuse Galactic material, emphasizing the need for a careful selection. Accounting for the statistical and systematic uncertainties from the GL method, we estimate an average Reff value of 2.4 ± 0.8, which can be used to test dust grain models designed specifically for molecular clouds. Reff appears to be relatively flat as a function of the cloud depth, suggesting that significant grain modification might occur only at higher densities.