AutoCal: A software application for calibrating photometric data

We present a software application for the calibration of stellar magnitudes in the absence of standard stars. It uses an existing algorithm to match stars in the target’s field of view to catalogue entries and computes the average offset between the two sets of magnitudes using a weighted least-squa...

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Main Authors: Daniël J. Wium, Brian van Soelen
Format: Article
Language:English
Published: Academy of Science of South Africa 2016-03-01
Series:South African Journal of Science
Subjects:
Online Access:https://www.sajs.co.za/article/view/4061
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author Daniël J. Wium
Brian van Soelen
author_facet Daniël J. Wium
Brian van Soelen
author_sort Daniël J. Wium
collection DOAJ
description We present a software application for the calibration of stellar magnitudes in the absence of standard stars. It uses an existing algorithm to match stars in the target’s field of view to catalogue entries and computes the average offset between the two sets of magnitudes using a weighted least-squares approach. This offset is used to calibrate the target’s instrumental magnitude. The software application was used to calibrate magnitudes for six Be/X-ray binary sources in the Small Magellanic Cloud and the results were compared with published results for these sources. Where comparisons were possible, our results agreed with those results within the uncertainties specified. Infrared variability was found for all six of the sources tested. The interactive outlier removal that was made possible by our software allowed for smaller uncertainties to be reported for our results. The AutoCal software is openly available here: http://hdl.handle.net/11660/2382
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spelling doaj.art-230b92082b634670bafcdbffbbfc023f2022-12-21T21:47:34ZengAcademy of Science of South AfricaSouth African Journal of Science1996-74892016-03-011123/48810.17159/sajs.2016/201500344061AutoCal: A software application for calibrating photometric dataDaniël J. Wium0Brian van Soelen1Department of Computer Science and Informatics, University of the Free State, Bloemfontein, South AfricaDepartment of Physics, University of the Free State, Bloemfontein, South AfricaWe present a software application for the calibration of stellar magnitudes in the absence of standard stars. It uses an existing algorithm to match stars in the target’s field of view to catalogue entries and computes the average offset between the two sets of magnitudes using a weighted least-squares approach. This offset is used to calibrate the target’s instrumental magnitude. The software application was used to calibrate magnitudes for six Be/X-ray binary sources in the Small Magellanic Cloud and the results were compared with published results for these sources. Where comparisons were possible, our results agreed with those results within the uncertainties specified. Infrared variability was found for all six of the sources tested. The interactive outlier removal that was made possible by our software allowed for smaller uncertainties to be reported for our results. The AutoCal software is openly available here: http://hdl.handle.net/11660/2382https://www.sajs.co.za/article/view/4061astrophysicssoftwarephotometryBe/X-ray binariescalibration
spellingShingle Daniël J. Wium
Brian van Soelen
AutoCal: A software application for calibrating photometric data
South African Journal of Science
astrophysics
software
photometry
Be/X-ray binaries
calibration
title AutoCal: A software application for calibrating photometric data
title_full AutoCal: A software application for calibrating photometric data
title_fullStr AutoCal: A software application for calibrating photometric data
title_full_unstemmed AutoCal: A software application for calibrating photometric data
title_short AutoCal: A software application for calibrating photometric data
title_sort autocal a software application for calibrating photometric data
topic astrophysics
software
photometry
Be/X-ray binaries
calibration
url https://www.sajs.co.za/article/view/4061
work_keys_str_mv AT danieljwium autocalasoftwareapplicationforcalibratingphotometricdata
AT brianvansoelen autocalasoftwareapplicationforcalibratingphotometricdata