572 citations · 1k across the 21 of their papers we have counts for
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Machine Learning Techniques to Distinguish Giant Stars from Dwarf Stars Using Only Photometry -- Pushing Redwards
Keyi Ding, Carrie Filion, Rosemary F. G. Wyse +6
We present our photometric method, which combines Subaru/HSC , g, and i band filters to distinguish giant stars in Local Group galaxies from Milky Way dwarf contamination. T…
The Extended Stellar Distribution in the Outskirts of the Ursa Minor Dwarf Spheroidal Galaxy
Kyosuke S. Sato, Sakurako Okamoto, Masafumi Yagi +7
We discover an extended distribution of main-sequence (MS) stars along the minor axis of the Ursa Minor (UMi) dwarf spheroidal galaxy (dSph). This study is enabled by deep, wide Su…
The Star Formation and Chemical Evolution Histories of Ursa Minor Dwarf Spheroidal Galaxy
Kyosuke S. Sato, Yutaka Komiyama, Sakurako Okamoto +8
We derive the star formation history (SFH) and chemical evolution history (CEH) of the Ursa Minor (UMi) dwarf spheroidal galaxy (dSph). We detect two distinct stellar populations t…
Constraints on asteroid-mass primordial black holes in dwarf galaxies using Hubble Space Telescope photometry
Nicolas Esser, Carrie Filion, Sven De Rijcke +4
Primordial black holes (PBHs) in the asteroid-mass range remain a viable and until now unconstrained dark matter (DM) candidate. If such PBHs exist, they could be captured by stars…