An automated photometric pipeline for the ILMT data

peer reviewedThe International Liquid Mirror Telescope (ILMT) is a 4-meter survey telescope constantly observing towards the zenith in the SDSS g’, r', and i’ bands. This survey telescope is designed to detect various astrophysical transients (for example, SNe, GRBs) and very faint objects like quasars and 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 some tools or pipelines that handle it in an efficient and accurate way with minimal human biases. We offer a fully automated pipeline generated in Python to perform aperture and PSF photometry over the ILMT data acquired through CCD in Time Delayed Integration (TDI) mode. The instrumental magnitudes are calibrated with respect to the SDSS/PanStarrs catalog. The lightcurves from these calibrated magnitudes will characterise the objects as variable stars or rapidly decaying transients