Concepedia
Statistics
Publications
4
Citations
255
H-Index
Active since
2017
Affiliations
Herzberg Institute of Astrophysics(Current)
University of Victoria
Max Planck Institute for Astronomy
Galaxies, Etoiles, Physique et Instrumentation
UK Astronomy Technology Centre
Spencer Bialek is an author at Herzberg Institute of Astrophysics specializing in deep learning, astrophysics, and photometry.
Top concepts
PhotometryEngineeringAstrophysicsData ScienceAstrodynamicsDeep Learning
Publications per year
2017–2021
An application of deep learning in the analysis of stellar spectra
S. Fabbro, Kim A. Venn, Teaghan O’Briain et al. · Monthly Notices of the Royal Astronomical Society · 2017 · 110 citations · Full text
Photometry, Engineering, Data Science +11
The Pristine survey – X. A large population of low-metallicity stars permeates the Galactic disc
Federico Sestito, Nicolas F. Martin, Else Starkenburg et al. · Monthly Notices of the Royal Astronomical Society Letters · 2020 · 85 citations · Full text
The Pristine survey – XII. Gemini-GRACES chemo-dynamical study of newly discovered extremely metal-poor stars in the Galaxy
Collin Kielty, Kim A. Venn, Federico Sestito et al. · Monthly Notices of the Royal Astronomical Society · 2021 · 36 citations · Full text
Assessing the performance of LTE and NLTE synthetic stellar spectra in a machine learning framework
Spencer Bialek, S. Fabbro, Kim A. Venn et al. · Monthly Notices of the Royal Astronomical Society · 2020 · 24 citations · Full text
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