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.
@article{arxiv.2311.04713,
title = {An automated photometric pipeline for the ILMT data},
author = {Bhavya Ailawadhi and Talat Akhunov and Ermanno Borra and Monalisa Dubey and Naveen Dukiya and Jiuyang Fu and Baldeep Grewal and Paul Hickson and Brajesh Kumar and Kuntal Misra and Vibhore Negi and Kumar Pranshu and Ethen Sun and Jean Surdej},
journal= {arXiv preprint arXiv:2311.04713},
year = {2023}
}
Comments
7 pages, 2 figures, 1 table, accepted for publication in the Bulletin of Li\`ege Royal Society of Sciences as a part of 3rd Belgo-Indian Network for Astronomy and Astrophysics (BINA) workshop, 22-24 March 2023