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20242026
most citedSpectroTranslator: a deep-neural network algorithm to homogenize spectroscopic parameters

9 citations · 13 across the 5 of their papers we have counts for

collaborators

5 papers

astro-ph.SR2026

The role of mass transfer efficiency in stability criteria: Implementation in SEVN and a test on blue stragglers and binary compact objects

M. Echeveste, G. J. Escobar, G. Iorio +12

Context: The stability of mass transfer through Roche-lobe overflow plays a key role in shaping the outcome of binary interactions. However, the criterion for mass transfer stabili…

astro-ph.SR2026

Stellar rotation and binaries in open clusters with Gaia DR3

Elena Pancino, Elisabetta Reggiani, Silvia Marinoni +14

Stellar rotation is a fundamental ingredient in shaping the evolution of stars and it can also be used to trace past stellar interactions. Yet, systematic studies of stellar rotati…

astro-ph.SR2025★ 2 cited

Survey of Surveys. II. Stellar parameters for 23 millions of stars

A. Turchi, E. Pancino, A. Avdeeva +16

In the current panorama of large surveys, the vast amount of data obtained with different methods, data types, formats, and stellar samples, is making an efficient use of the avail…

astro-ph.IM2024★ 2 cited

The Survey of Surveys: machine learning for stellar parametrization

A. Turchi, E. Pancino, F. Rossi +6

We present a machine learning method to assign stellar parameters (temperature, surface gravity, metallicity) to the photometric data of large photometric surveys such as SDSS and…

astro-ph.GA2024★ 9 cited

SpectroTranslator: a deep-neural network algorithm to homogenize spectroscopic parameters

G. F. Thomas, G. Battaglia, F. Gran +8

The emergence of large spectroscopic surveys requires homogenising on the same scale the quantities they measure in order to increase their scientific legacy. We developed the Spec…