PySnack 10: PROSE
PySnacks
Within the Severo Ochoa Training Initiative of the IAA-CSIC we are offering short introductory practical courses about Python packages for astrophysical applications (PySnacks). We invite you to participate in the 4h course PySnack 10: PROSE
Abstract
Approximately 75% of known exoplanets have been discovered by identifying transit signals in the light curves of their host stars. These discoveries start with the acquisition of raw images of the sky, followed by the extraction of stellar time-series photometry. In this workshop, we will process ground-based observations of the star TRAPPIST-1 to replicate the detection of its first exoplanet transit using original data from the TRAPPIST telescope. Participants will learn to calibrate raw images and extract TRAPPIST-1's light curve using prose, a Python package designed for modular image processing in astronomy. Finally, we will apply nuance, a detection algorithm tailored for identifying transits in noisy datasets.
Overall, participants will gain hands-on experience in image calibration, light curve extraction, and transit detection, along with practical skills in using Python tools for astronomical data analysis.
Date and location
Place: Sala de Juntas (IAA-CSIC) and by zoom
Date and time: 12 December 2024, from 10:30 am to 12:30pm and from 2:30pm to 4:30pm
Registration
Please register at https://forms.gle/WLvJWsznmBJgtCgz7 by 10th December 2024. The number of participants will be limited to 20. First come, first serve.
More information
- https://github.com/lgrcia/prose
- https://ui.adsabs.harvard.edu/abs/2022MNRAS.509.4817G/abstract
Organizers
- Fran Pozuelos (IAA-CSIC)
- Laura Darriba (IAA-CSIC)
- Javier Moldón (IAA-CSIC)
This event is supported by the "Center of Excellence Severo Ochoa" award to the Instituto de Astrofísica de Andalucía. We acknowledge financial support from the Severo Ochoa grant CEX2021-001131-S funded by MCIN/AEI/ 10.13039/501100011033 from the Instituto de Astrofísica de Andalucía.
