Bibcode
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
Referencia bibliográfica
American Astronomical Society, AAS Meeting #228, id.#405.03
Fecha de publicación:
6
2016
Número de citas
1
Número de citas referidas
1
Descripción
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.