226 citations · 1.3k across the 51 of their papers we have counts for
3 papers · 1 filter
Machine learning based stellar classification with highly sparse photometry data
Sean Enis Cody, Sebastian Scher, Iain McDonald +3
Identifying stars belonging to different classes is vital in order to build up statistical samples of different phases and pathways of stellar evolution. In the era of surveys cove…
PySSED: an automated method of collating and fitting stellar spectral energy distributions
Iain McDonald, Albert A. Zijlstra, Nick L. J. Cox +4
Stellar atmosphere modelling predicts the luminosity and temperature of a star, together with parameters such as the effective gravity and the metallicity, by reproducing the obser…
SAGE-Spectroscopy: The life-cycle of dust and gas in the Large Magellanic Cloud. Data delivery document v3.0
Paul M. Woods, G. C. Sloan, Karl D. Gordon +3
The SAGE-Spectroscopy Spitzer legacy program (SAGE-Spec; PI: F. Kemper, PID: 40159; Kemper et al. 2010) is the IRS spectroscopic follow-up to the successful SAGE-LMC legacy program…