The Far-infrared Polarization Spectrum of ρ Ophiuchi A from HAWC+/SOFIA Observations
Morris, Mark R.; Staguhn, Johannes; Ward-Thompson, Derek; Houde, Martin; Dowell, C. Darren; Wollack, Edward J.; Dale, Daniel A.; Tassis, Konstantinos; Chuss, David T.; Henning, Thomas K.; Guerra, Jordan A.; Looney, Leslie W.; Novak, Giles; Santos, Fabio P.; Lopez Rodriguez, Enrique; Harper, Doyal A.; Stephens, Ian W.; Berthoud, Marc; Hamilton, Ryan T.; Michail, Joseph M.; Trinh, Christopher Q.; Lazarian, Alex; Jones, Terry Jay; Hanany, Shaul; Volpert, C. G.; Van Camp, Eric
United States, Germany, Canada, United Kingdom, Greece
Abstract
We report on polarimetric maps made with HAWC+/SOFIA toward ρ Oph A, the densest portion of the ρ Ophiuchi molecular complex. We employed HAWC+ bands C (89 μm) and D (154 μm). The slope of the polarization spectrum was investigated by defining the quantity {{ \mathcal R }}{DC}={p}D/{p}C, where p C and p D represent polarization degrees in bands C and D, respectively. We find a clear correlation between {{ \mathcal R }}{DC} and the molecular hydrogen column density across the cloud. A positive slope ({{ \mathcal R }}{DC} > 1) dominates the lower-density and well-illuminated portions of the cloud, which are heated by the high-mass star Oph S1, whereas a transition to a negative slope ({{ \mathcal R }}{DC} < 1) is observed toward the denser and less evenly illuminated cloud core. We interpret the trends as due to a combination of (1) warm grains at the cloud outskirts, which are efficiently aligned by the abundant exposure to radiation from Oph S1, as proposed in the radiative torques theory; and (2) cold grains deep in the cloud core, which are poorly aligned owing to shielding from external radiation. To assess this interpretation, we developed a very simple toy model using a spherically symmetric cloud core based on Herschel data and verified that the predicted variation of {{ \mathcal R }}{DC} is consistent with the observations. This result introduces a new method that can be used to probe the grain alignment efficiency in molecular clouds, based on the analysis of trends in the far-infrared polarization spectrum.