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20232025
most citedbinary_c-python: A Python-based stellar population synthesis tool and interface to binary_c

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

collaborators

5 papers

astro-ph.GA2025★ 3 cited

Stellar velocity distributions in binary-rich ultrafaint dwarf galaxies

Amery Gration, David D. Hendriks, Payel Das +2

Ultrafaint dwarf (UFD) galaxies are dominated by dark matter, the distribution of which may be inferred from the kinematics of that galaxy's stellar population. Star-by-star observ…

astro-ph.SR2025★ 4 cited

Stellar ejection velocities from the binary supernova scenario: A comparison across population synthesis codes

Tom Wagg, David D. Hendriks, Mathieu Renzo +1

The vast majority of binary systems are disrupted at the moment of the first supernova, resulting in an unbound compact object and companion star. These ejected companion stars con…

astro-ph.SR2025★ 1 cited

A stellar evolutionary grid for binary population synthesis: from the main sequence to helium ignition

Natalie R. Rees, Robert G. Izzard, David D. Hendriks

Mass changes due to strong stellar winds and binary mass transfer have a dramatic impact on the consequent evolution of stars. This is generally not accounted for in population syn…

astro-ph.SR2024★ 7 cited

Anomalously low-mass core-He-burning star in NGC 6819 as a post-common-envelope phase product

Massimiliano Matteuzzi, David Hendriks, Robert G. Izzard +5

Precise masses of red-giant stars enable a robust inference of their ages, but there are cases where these age estimates are highly precise yet very inaccurate. Examples are core-h…

astro-ph.SR2023★ 13 cited

binary_c-python: A Python-based stellar population synthesis tool and interface to binary_c

D. D. Hendriks, R. G. Izzard

We present the software package binary_c-python which provides a convenient and easy-to-use interface to the binary_c framework, allowing the user to rapidly evolve individual syst…