[2311.05622]
Ethen Sun, Bhavya Ailawadhi, Talat Akhunov, Ermanno Borra, Monalisa Dubey, Naveen Dukiya, Jiuyang Fu, Baldeep Grewal, Paul Hickson, Brajesh Kumar, Kuntal Misra, Vibhore Negi, Kumar Pranshu, Jean Surdej
Recent research suggests a correlation between the variability and intrinsic brightness of quasars. If calibrated, this could lead to the use of quasars on the cosmic distance ladder, but this work is currently limited by lack of quasar light curve data with high cadence and precision. The Python photometric data pipeline SunPhot is being developed as part of preparations for an upcoming quasar variability survey with the International Liquid Mirror Telescope (ILMT). SunPhot uses aperture photometry to directly extract light curves for a catalogue of sources from calibrated ILMT images. SunPhot v.2.1 is operational, but the project is awaiting completion of ILMT commissioning.