Astronomical data has seen a huge increase in the last years, leading to a need for new models and approaches to process, analyze and understand the information. In this context, we collaborate with researchers from the Facultad de Ciencias Astronómicas y Geofísicas and the Instituto de Astrofísica de La Plata on different projects:
The goal of the ReTrOH project is to transfer knowledge through the recovery, digitization, and enhancement of historical data from the Faculty of Astronomical and Geophysical Sciences (FCAG) of the National University of La Plata (UNLP) through an interdisciplinary team.
Astronomical databases currently provide high-volume photometric data. We propose and evaluate the use of reddening-free Q indices to identify Be star candidates with photometric data.
We present an intelligent software to assist in the recovery of information contained in plates. The software includes a module that automatically detects spectra, streamlines the loading of metadata, and verifies its standardization. The use of the software will significantly reduce the required man-hours and processing errors.
