2019
DOI: 10.1002/asna.201913562
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CoLiTecVS – A new tool for the automated reduction of photometric observations

Abstract: The capabilities of telescopes allow the plotting of light curves a routine task. This one shifts the main attention of the astronomer from plotting to research. To achieve this goal, we developed a new tool for the automated reduction of photometric observations, which includes the computational method for the brightness assessment of the investigated and comparison stars, brightness equalization of astronomical images using an inverse median filter, as well as light curve plotting and processing using differ… Show more

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Cited by 20 publications
(6 citation statements)
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“…This one point was constructed as the mean of at least 5 measurements. Ensemble differential photometry was performed using CoLiTecVS [2] and MCV [3] software packages. In the case of V1674 Her, high time resolu-p r e -p r e s s tion photometry in 1 band was also needed.…”
Section: Observations and Methodsmentioning
confidence: 99%
“…This one point was constructed as the mean of at least 5 measurements. Ensemble differential photometry was performed using CoLiTecVS [2] and MCV [3] software packages. In the case of V1674 Her, high time resolu-p r e -p r e s s tion photometry in 1 band was also needed.…”
Section: Observations and Methodsmentioning
confidence: 99%
“…We were trying to accumulate observations on several consecutive nights to provide data for orbital period investigation. Ensemble differential photometry was employed for data reduction using CoLiTecVS (Kudzej et al, 2019) and MCV (Kim et al, 2004;Andronov & Baklanov, 2004) software packages.…”
Section: Observationsmentioning
confidence: 99%
“…The reduction usually consists of trivial calibration of scientific images for bias, dark and flatfield and extraction of instrumental magnitudes. It was carried out with the Muniwin (by D. Motl) and CoLiTecVS (Kudzej et al, 2019) software packages. The final light curves were obtained using the multiple comparison stars method described by Kim, Andronov & Jeon (2004) and implemented in Multi-Column View (Andronov & Baklanov, 2004).…”
Section: Observationsmentioning
confidence: 99%