| Name: | Aditya Bharadwaj |
| Affiliation: | Indian Institute of Astrophysics |
| Conference ID : | ASI2024_275 |
| Title : | Automated Pipeline for Photometric Data reduction at JCBT |
| Authors : | Aditya Bharadwaj1, Vivek.M2 |
| Authors Affiliation: | 1 Aditya Bharadwaj, Vainu Bappu Observatory, Indian Institute of Astrophysics, Kavalur - 635701, India
2 Vivek.M, Indian Institute of Astrophysics, Bengaluru - 560034, India |
| Mode of Presentation: | Poster |
| Abstract Category : | Facilities, Technologies and Data science |
| Abstract : | In the field of Astronomical research, the acquisition and analysis of photometric data from telescopes play an important role in understanding the sources and their phenomena. This paper presents an automated pipeline design for the reduction of Photometric data obtained from the ground-based 1.3m JCB telescope at VBO, Kavalur. The pipeline encompasses a series of tasks to transform raw FITS files into scientifically valuable photometric measurements. The initial stages involve the preprocessing of raw files which serves to mitigate the instrumental artifacts such as electronic noise and pixel-to-pixel sensitivity variations. Subsequently, it employs the Daophot package to perform Aperture photometry which enables the extraction of photometric measurements such as the position and magnitude of the astronomical sources, providing essential information on their brightness and variability. Furthermore, the pipeline performs PSF(point spread function) photometry by modeling the PSF of the telescope, allowing for accurate determination of instrumental magnitudes of point-like sources in a crowded field. The photometric results are directly mapped onto the FITS image to select and extract the source parameters interactively. The pipeline is coupled with a User interface(UI) to ensure consistent results and minimize human intervention. It offers flexibility to researchers with an option to process data individually or in batch mode. To maintain transparency and facilitate debugging, it is equipped with a logging and debugging system. Overall, the pipeline simplifies the photometric reduction process to obtain science-ready products for analysis. Details and workings of the pipeline will be presented. |
