pySYD: Automated Measurements of Global Asteroseismic Parameters
Creators: name: Chontos, Ashley
name: Sayeed, Maryum
name: Huber, Daniel
Publisher: name: Zenodo
Year: 2021
Subjects: Stellar Astrophysics
Data Analysis Techniques
Asteroseismology
Fundamental Stellar Properties
Stellar Ages
Stellar Masses
Stellar Radii
Exoplanets
Kepler
Stellar Oscillations
Solar-like Oscillations
K2
TESS
Photometry
Asteroseismic Analysis
Cats in space

description: Asteroseismology is well-established in astronomy as the gold standard for determining precise and accurate fundamental stellar properties like masses, radii, and ages. Several tools have been developed for asteroseismic analyses, but nearly all of them are closed-source and therefore not accessible to the general astronomy community. Here we present pySYD, a Python package for detecting solar-like oscillations and measuring global asteroseismic parameters. pySYD was adapted from the IDL-based SYD pipeline, which was extensively used to measure asteroseismic parameters for <em>Kepler</em> stars. pySYD was developed using the same well-tested methodology, but has improved functionality including automated background model selection and parallel processing as well as improved flexibility through a user-friendly interface. Well-documented, open-source asteroseismology software that has been benchmarked against closed-source tools are critical to ensure the reproducibility of legacy results from the <em>Kepler</em> mission.
description: {"references": ["Mosser &amp; Appourchaux (2009). Related software paper -- associated to arXiv:0909.0782, https://ui.adsabs.harvard.edu/abs/2009A%26A...508..877M/abstract", "Huber et al. (2009). Original \"SYD\" software paper -- associated to arXiv:0910.2764, https://ui.adsabs.harvard.edu/abs/2009CoAst.160...74H", "Hekker et al. (2010). Related \"OCT\" software paper -- associated to arXiv:0911.2612, https://ui.adsabs.harvard.edu/abs/2010MNRAS.402.2049H/abstract", "Mathur et al. (2010). Related \"A2Z\" software paper -- associated to arXiv:0912.3367, https://ui.adsabs.harvard.edu/abs/2010A%26A...511A..46M/abstract", "Hekker et al. (2011). Compared and benchmarked different software pipelines -- associated to arXiv:1008.2959, https://ui.adsabs.harvard.edu/abs/2011A%26A...525A.131H/abstract", "Huber et al. (2011). Ensemble analysis using \"SYD\" software -- associated to arXiv:1109.3470 https://ui.adsabs.harvard.edu/abs/2011ApJ...743..143H/abstract", "Verner et al. (2011). Compared and benchmarked different software pipelines -- associated to arXiv:1105.0571, https://ui.adsabs.harvard.edu/abs/2011MNRAS.415.3539V/abstract", "Bastien et al. (2013). Ensemble analysis using \"SYD\" software -- associated to arXiv:1308.4728, https://ui.adsabs.harvard.edu/abs/2013Natur.500..427B/abstract", "Chaplin et al. (2014). Ensemble analysis using \"SYD\" software -- associated to arXiv:1310.4001, http://adsabs.harvard.edu/abs/2014ApJS..210....1C", "Ricker et al. (2014). TESS Mission paper -- associated to arXiv:1406.0151 https://ui.adsabs.harvard.edu/abs/2014SPIE.9143E..20R", "Corsaro &amp; De Ridder (2014). Related \"DIAMONDS\" &amp; \"FAMED\" software paper -- associated to arXiv:1408.2515, https://ui.adsabs.harvard.edu/abs/2014A&amp;A...571A..71C", "Serenelli et al. (2017). Ensemble analysis using \"SYD\" software -- associated to arXiv:1710.06858, https://ui.adsabs.harvard.edu/abs/2017ApJS..233...23S", "Yu et al. (2018). Ensemble analysis using \"SYD\" software -- associated to arXiv:1807.00096, http://adsabs.harvard.edu/abs/2018MNRAS.480L..48Y", "Chontos et al. (2021a). Application of software -- associate to arXiv:2012.10797, https://ui.adsabs.harvard.edu/abs/2020arXiv201210797C", "Nielsen et al. (2021). Related \"PBjam\" software paper -- associated to arXiv:2012.00580, https://ui.adsabs.harvard.edu/abs/2021AJ....161...62N", "Chontos et al. (2021c, in review). pySYD JOSS software paper -- https://joss.theoj.org/papers/6465a9dd3141c207175f200c7f891f1e"]}