J/A+A/629/A21 TEA-Phot python code (Bowman+, 2019)
Adaptive elliptical aperture photometry: A software package for high-cadence
ground-based photometry?
I. Application to rapid oscillators observed from SAAO.
Bowman D.M., Holdsworth D.L.
<Astron. Astrophys. 629, A21 (2019)>
=2019A&A...629A..21B 2019A&A...629A..21B (SIMBAD/NED BibCode)
ADC_Keywords: Models
Keywords: techniques: photometric - stars: chemically peculiar -
stars: oscillations - stars: early-type -
Abstract:
Modern space telescopes are currently providing high-precision light
curves for a large fraction of the sky, such that many new variable
stars are being discovered. However, some stars have periodic
variability with periods on the order of minutes and require
high-cadence photometry to probe the physical mechanisms responsible.
A cadence of less than a minute is often required to remove Nyquist
ambiguities and confirm rapid variability, which forces observers to
obtain high-cadence ground-based photometry.
We aim to provide a modern software package to reduce ground-based
photometric time series data and deliver optimised (differential)
light curves. To produce high-quality light curves, which maximise the
amplitude signal-to-noise ratio of short-period variability in a
Fourier spectrum, we require adaptive elliptical aperture photometry
as this represents a significant advantage compared to aperture
photometry using circular apertures of fixed radii.
The methodology of our code and its advantages are demonstrated using
high-cadence ground-based photometry from the South African
Astronomical Observatory (SAAO) of a confirmed rapidly oscillating Ap
(roAp) star. Furthermore, we employed our software package to search
for rapid oscillations in three candidate roAp stars.
We demonstrate that our pipeline represents a significant improvement
in the quality of light curves, and we make it available to the
community for use with different instruments and observatories. We
search for and demonstrate the lack of high-frequency roAp pulsations
to a limit of 1 mmag using B data in the three Ap stars HD 158596, HD
166542, and HD 181810.
We demonstrate the significant improvement in the extraction of
short-period variability caused by high-frequency pulsation modes, and
discuss the implication of null detections in three Ap stars.
Description:
This is the [adapTive Elliptical Aperture PHOTometry
(TEA-Phot)](https://bitbucket.org/DominicBowman/tea-phot) repository
**TEA-Phot** is a user-friendly pipeline to process ground-based
photometry and extract light curves of stars for the purpose of
variability and asteroseismology. **TEA-Phot** is coded in python and
has no external software dependencies such as IRAF, DS9 or Gaia, and
utilises the flexible python module
[SEP](https://sep.readthedocs.io/en/v1.0.x/) at its core. The code is
optimised for high-cadence ground-based photometry, such as that
provided by the SHOC and STE instruments at the [South African
Astronomical Observatory (SAAO)](https://www.saao.ac.za), but can be
easily modified for different instruments at different observatories.
**TEA-Phot** is an open-source package, GNU-licensed, and any
improvements provided by the users are well accepted. See disclaimer
below and GNU License in gpl-3.0.txt.
Get **TEA-Phot** **TEA-Phot** is available on
https://bitbucket.org/DominicBowman/tea-phot
You can quickly clone this repository by typing
"git clone https://bitbucket.org/DominicBowman/tea-phot.git"
Authors:
Written and developed by Dominic Bowman, dominic.bowman(at)kuleuven.be,
Instituut voor Sterrenkunde, KU Leuven, Belgium
and Daniel Holdsworth, dlholdsworth(at)uclan.ac.uk,
Jeremiah Horrocks Institute, University of Central Lancashire, UK
Disclaimer
**TEA-Phot** is provided "as it is", without any warranty. The Authors
assume no liability for any damages of any kind (direct or indirect
damages, contractual or non-contractual damages, pecuniary or
non-pecuniary damages), directly or indirectly derived or arising from
the correct or incorrect usage of **TEA-Phot**, in any possible
environment, or arising from the impossibility to use, fully or
partially, the software, or any bug or malfunction. Such exclusion of
liability expressly includes any damages including the loss of data of
any kind (including personal data).
File Summary:
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FileName Lrecl Records Explanations
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ReadMe 80 . This file
TEA-Phot.py 185 1897 TEA-Phot python code
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Acknowledgements:
Dominic Bowman, dominic.bowman(at)kuleuven.be
(End) Patricia Vannier [CDS] 02-Aug-2019