Big Datasets are becoming more and more prominent in the field of astrophysics with new powerful telescopes and surveys capturing parts of our night sky in an almost continuous fashion. Consequently, unsupervised Machine Learning is key to getting first insight into this abundance of data. We present our results on the performance of unsupervised
GTC/CanariCam Mid-IR Polarimetry of Magnetic Fields in Star-Forming Region W51 IRS2
We present 0.4 arcsec-resolution mid-IR imaging polarimetry, obtained with CanariCam at GTC, of the central 0.11 pc x 0.28 pc (4.2 arcsec x 10.8 arcsec) region of W51 IRS2. The observed mid-IR polarization across this region is typically several percent, with values as high as 12%. The polarization arises from ensembles of non-spherical silicate
Firefly: The Case for a Holistic Understanding of the Global Structure and Dynamics of the Sun and the Heliosphere
This white paper is on the HMCS Firefly mission concept study. Firefly focuses on the global structure and dynamics of the Sun's interior, the generation of solar magnetic fields, the deciphering of the solar cycle, the conditions leading to the explosive activity, and the structure and dynamics of the corona as it drives the heliosphere.