Introduction

pySYD is an open-source asteroseismology package that adapts the same well-tested methodology from the well-known and widely-used IDL-based SYD pipeline. In addition to not needing a license to perform rigorous asteroseismic analyses, we have expanded the capabilities and features to include:

• automated background model comparison and selection

• parallel processing and other easy compatabilities for running many stars

• easily customizable with command-line friendly interface

• modular and adaptable across different applications

• saves reproducible samples for future analyses (i.e. seeds)

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Reproducible Kepler mision results

In order to ensure the reproducibility of scientific results from the Kepler mission, we ran pySYD on ~100 Kepler legacy stars (defined here) observed in short-cadence and compared the output to SYD results from [S2017a]. The same time series and power spectra were used for both analyses, which are publicly available and hosted online c/o KASOC 1.

The resulting values are compared for the two methods below for numax (\(\rm \nu_{max}\), left) and dnu (\(\Delta\nu\), right).

The residuals show no strong systematics to within <0.5% in Dnu and <~1% in numax, which is smaller than the typical random uncertainties. This confirms that the open-source Python package pySYD provides consistent results with the legacy IDL version that has been used extensively in the literature.

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Related Tools

pySYD provides general purpose tools for performing asteroseismic analysis in the frequency domain. Several tools have been developed to solve related scientific and data analysis problems. We have compiled a list of software packages that perform similar or complementary analyses.

• AMP:

  • language:

  • reference:

  • documentation: no

  • publicly available: no

  • requires license: n/a

• A2Z: determining global parameters of the oscillations of solar-like stars

  • language: ?

  • reference: yes

  • documentation: no

  • publicly available: no

  • requires license: n/a

• Background: an extension of DIAMONDS that fits the background signal of solar-like oscillators

  • language: c++11

  • reference: no

  • documentation: no

  • publicly available: yes

  • requires license: no

• CAN: on the detection of Lorentzian profiles in a power spectrum

  • language: ?

  • reference: yes

  • documentation: no

  • publicly available: no

  • requires license: n/a

• COR: on detecting the large separation in the autocorrelation of stellar oscillation times series

  • language: ?

  • reference: yes

  • documentation: no

  • publicly available: no

  • requires license: n/a

• DIAMONDS: high-DImensional And multi-MOdal NesteD Sampling

  • language: c++11

  • reference: yes

  • documentation: yes

  • publicly available: yes

  • requires license: n/a

• DLB:

  • language: ?

  • reference: no

  • documentation: n/a

  • publicly available: no

  • requires license: n/a

• FAMED: Fast & AutoMated pEakbagging with Diamonds

  • language: IDL (currently being developed in Python)

  • reference: yes

  • documentation: yes

  • publicly available: yes

  • requires license: yes

• Flicker Flipper?:

  • language:

  • reference:

  • documentation:

  • publicly available:

  • requires license: n/a

• KAB: automated asteroseismic analysis of solar-type stars

  • language: ?

  • reference: yes

  • documentation: no

  • publicly available: no

  • requires license: n/a

• lightkurve: a friendly Python package for making discoveries with Kepler & TESS

  • language: Python

  • reference: no

  • documentation: yes

  • publicly available: yes

  • requires license: no

• OCT: automated pipeline for extracting oscillation parameters of solar-like main-sequence stars

  • language: ?

  • reference: yes

  • documentation: no

  • publicly available: no

  • requires license: n/a

• ORK: using the comb response function method to identify spacings

  • language: ?

  • reference: yes

  • documentation: no

  • publicly available: no

  • requires license: n/a

• QML: a power-spectrum autocorrelation technique to detect global asteroseismic parameters

  • language: ?

  • reference: yes

  • documentation: no

  • publicly available: no

  • requires license: n/a

• PBjam: a python package for automating asteroseismology of solar-like oscillators

  • language: Python

  • reference: yes

  • documentation: yes

  • publicly available: yes

  • requires license: no

• SYD: automated extraction of oscillation parameters for Kepler observations of solar-type stars

  • language: IDL

  • reference: yes

  • documentation: no

  • publicly available: no

  • requires license: yes

Important

If your software is not listed or if something listed is incorrect/missing, please open a pull request to add it, we aim to be inclusive of all Kepler-, K2- and TESS- related tools!

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References

1

Kepler Asteroseismic Science Operations Center

C2014

Chaplin et al., 2014

H2011

Huber et al., 2011

L2017

Lund et al., 2017

S2017a

Serenelli et al., 2017

S2017b

Silva Aguirre et al., 2017

Y2018

Yu et al., 2018