Maelstrom: A Python package for identifying companions to pulsating stars from their light travel time variations
Article
Article Title | Maelstrom: A Python package for identifying companions to pulsating stars from their light travel time variations |
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ERA Journal ID | 213379 |
Article Category | Article |
Authors | Hey, Daniel R. (Author), Murphy, Simon J. (Author), Foreman-Mackey, Daniel (Author), Bedding, Timothy R. (Author), Pope, Benjamin J. S. (Author) and Hogg, David W. (Author) |
Journal Title | Journal of Open Source Software |
Journal Citation | 5 (51), pp. 1-3 |
Article Number | 2125 |
Number of Pages | 3 |
Year | 2020 |
Place of Publication | United States |
ISSN | 2475-9066 |
Digital Object Identifier (DOI) | https://doi.org/10.21105/joss.02125 |
Web Address (URL) | https://joss.theoj.org/papers/10.21105/joss.02125 |
Abstract | Most stars are members of binary systems. Traditional observations of these systems rely on eclipses, where the secondary body occludes light from the primary star and vice versa. This leads to a strong bias on the orbital parameters – to observe these eclipses the system must have a high inclination with respect to Earth, and the orbital period must be sufficiently short to be observed within the time-span of the data. Other methods for detecting binarity suffer from similar constraints: radial velocity measurements are useful mostly for orbital periods less than tens of days, whilst long-baseline interferometry is suited only to relatively nearby and bright stars. |
Keywords | Python, astronomy, variable stars |
ANZSRC Field of Research 2020 | 510109. Stellar astronomy and planetary systems |
Byline Affiliations | University of Sydney |
Flatiron Institute, United States | |
New York University, United States | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q7384/maelstrom-a-python-package-for-identifying-companions-to-pulsating-stars-from-their-light-travel-time-variations
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