activity
20212025
most citedSUPPNet: Neural network for stellar spectrum normalisation

25 citations · 28 across the 5 of their papers we have counts for

collaborators

5 papers

astro-ph.GA2025

Detailed Abundance Determination of Metal-Poor Stars with X-Shooter I. Unusual Chemistry in Halo Stars

Benjamin D. C. Lowe, Thomas Nordlander, Luca Casagrande +5

We present a detailed chemical analysis study of 16 candidate metal-poor stars, previously identified with 2dF + AAOmega, using X-Shooter spectra and the Korg 1D local thermodynami…

astro-ph.IM2025★ 2 cited

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…

astro-ph.IM2024

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…

astro-ph.SR2023★ 1 cited

Catalogue of BRITE-Constellation targets I. Fields 1 to 14 (November 2013 - April 2016)

K. Zwintz, A. Pigulski, R. Kuschnig +25

The BRIght Target Explorer (BRITE) mission collects photometric time series in two passbands aiming to investigate stellar structure and evolution. Since their launches in the year…

astro-ph.IM2021★ 25 cited

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…