Validation of the pipeline for the 1.4m Milanković telescope
In this paper, we present a pipeline written in Python v3.9 that performs reduction of CCD images, astrometric calibration, and photometric measurements for observations made with the 1.4m Milanković telescope, installed at the Astronomical Station Vidojevica in Serbia. The main driver f...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Astronomical Observatory, Department of Astronomy, Belgrade
2024-01-01
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| Series: | Serbian Astronomical Journal |
| Subjects: | |
| Online Access: | https://doiserbia.nb.rs/img/doi/1450-698X/2024/1450-698X2409039L.pdf |
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| Summary: | In this paper, we present a pipeline written in Python v3.9 that performs
reduction of CCD images, astrometric calibration, and photometric
measurements for observations made with the 1.4m Milanković telescope,
installed at the Astronomical Station Vidojevica in Serbia. The main driver
for writing such a multipurpose pipeline lies in its intended use once the
dedicated observations of transient objects with the Milanković telescope
start as the follow-up observations contributing to the Vera Rubin
Observatory scientific goals, but not limited to this specific need, since
other follow-up observations had been conducted and some are still ongoing.
The pipeline is run via the command line using different positional and
optional arguments depending on the required operations (reduction,
astrometry, photometry). There are also command-line arguments that allow
the user to choose how to perform a certain operation (mode), or whether to
use more PC processors to execute them. By default, only bias, dark, and
at-field corrections are performed, while other operations and modes are
optional. In the paper, we will describe in detail each of the above
mentioned operations, as well as the use of positional/optional arguments.
We will also describe in detail the output FITS files that can be used to
analyze the pipeline performance, as well as the final output tables with
photometric measurements. Finally, we compare the pipeline performance with
IRAF package procedures to test and validate the results. |
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| ISSN: | 1450-698X 1820-9289 |