25 citations · 28 across the 5 of their papers we have counts for
3 papers · 1 filter
Scaling Laws for Emulation of Stellar Spectra
Tomasz Różański, Yuan-Sen Ting
Neural network-based emulators for the inference of stellar parameters and elemental abundances represent an increasingly popular methodology in modern spectroscopic surveys. Howev…
TransformerPayne: enhancing spectral emulation accuracy and data efficiency by capturing long-range correlations
Tomasz Różański, Yuan-Sen Ting, Maja Jabłońska
Stellar spectra emulators often rely on large grids and tend to reach a plateau in emulation accuracy, leading to significant systematic errors when inferring stellar properties. O…
SUPPNet: Neural network for stellar spectrum normalisation
Tomasz Różański, Ewa Niemczura, Jakub Lemiesz +2
Precise continuum normalisation of merged échelle spectra is a demanding task necessary for various detailed spectroscopic analyses. Automatic methods have limited effectiveness du…