| Name: | Bhavya Ailawadhi |
| Affiliation: | ARIES |
| Conference ID : | ASI2023_418 |
| Title : | An automated photometric pipeline for the ILMT data |
| Authors : | Bhavya Ailawadhi, Kuntal Misra, Jean Surdej, Vibhore Negi, Naveen Dukiya, Kumar Pranshu, Brajesh Kumar, Paul Hickson |
| Mode of Presentation: | Oral |
| Abstract Category : | Instrumentation and Techniques |
| Abstract : | The International Liquid Mirror Telescope (ILMT) is a 4.0m survey telescope, located in Devasthal (India), which constantly stares toward the zenith and observes a 22’ wide strip of the sky passing over it in Time Delayed Integration (TDI) mode. During the survey, several new astrophysical transients such as Supernovae and very faint sources like quasars and galaxies will be detected. In order to process the data generated in the survey in an efficient and accurate manner, automated tools and pipelines are required. We present the development of a fully automated pipeline in python to perform aperture and PSF photometry on the ILMT data. The instrumental magnitudes are calibrated (including the colour term) with respect to the Gaia catalogue. Long-term light curves, from the calibrated magnitudes, will allow for a characterisation of the objects as variables decaying gradually or rapidly. |
