Preprint

An automated photometric pipeline for the ILMT data

Bhavya AilawadhiAryabhatta Research Institute of Observational sciencES (ARIES) , Manora Peak , Nainital , 263001 , IndiaTalat AkhunovNational University of Uzbekistan , Department of Astronomy and Astrophysics , 100174 Tashkent , UzbekistanE. F. BorraDepartment of Physics , Université Laval , 2325, rue de l'Université , Québec , G1V 0A6 , CanadaMonalisa DubeyDepartment of Applied Physics , Mahatma Jyotiba Phule Rohilkhand University , Bareilly , 243006 , IndiaNaveen DukiyaAryabhatta Research Institute of Observational sciencES (ARIES) , Manora Peak , Nainital , 263001 , IndiaJiuyang FuDepartment of Physics and Astronomy , University of British Columbia , 6224 Agricultural Road , Vancouver , BC V6T 1Z1 , CanadaBaldeep GrewalDepartment of Physics and Astronomy , University of British Columbia , 6224 Agricultural Road , Vancouver , BC V6T 1Z1 , CanadaPaul HicksonDepartment of Physics and Astronomy , University of British Columbia , 6224 Agricultural Road , Vancouver , BC V6T 1Z1 , CanadaBrajesh KumarAryabhatta Research Institute of Observational sciencES (ARIES) , Manora Peak , Nainital , 263001 , IndiaKuntal MisraAryabhatta Research Institute of Observational sciencES (ARIES) , Manora Peak , Nainital , 263001 , IndiaVibhore NegiAryabhatta Research Institute of Observational sciencES (ARIES) , Manora Peak , Nainital , 263001 , IndiaKumar PranshuAryabhatta Research Institute of Observational sciencES (ARIES) , Manora Peak , Nainital , 263001 , IndiaEthen SunDepartment of Physics and Astronomy , University of British Columbia , 6224 Agricultural Road , Vancouver , BC V6T 1Z1 , CanadaJean SurdejInstitute of Astrophysics and Geophysics , University of Liège , Allée du 6 Août 19c , 4000 Liège , Belgium

2023en

ABI

Annotatsiya

The International Liquid Mirror Telescope (ILMT) is a 4-meter survey telescope continuously observing towards the zenith in the SDSS g', r', and i' bands. This survey telescope is designed to detect various astrophysical transients (for example, supernovae) and very faint objects like multiply-imaged quasars and low surface brightness galaxies. A single scan of a 22$'$ strip of sky contains a large amount of photometric information. To process this type of data, it becomes critical to have tools or pipelines that can handle it efficiently and accurately with minimal human biases. We offer a fully automated pipeline generated in Python to perform aperture photometry over the ILMT data acquired with the CCD in Time Delayed Integration (TDI) mode. The instrumental magnitudes are calibrated with respect to the Pan-STARRS-1 catalogue. The light curves generated from the calibrated magnitudes will allows us to characterize the objects as variable stars or rapidly decaying transients.

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Identifikatorlar

DOI: 10.48550/arxiv.2311.04713

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