4 citations · 6 across the 2 of their papers we have counts for
2 papers
astro-ph.IM2024★ 4 cited
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…
astro-ph.IM2024★ 2 cited
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…