INVESTIGADORES
LARES HARBIN LATORRE marcelo
congresos y reuniones científicas
Título:
Transient detection and image analysis pipeline for TOROS project
Autor/es:
MARTÍN BEROIZ; BRUNO SÁNCHEZ; MARIANO DOMÍNGUEZ; MARCELO LARES; MARIO DÍAZ; GARCIA LAMBAS, DIEGO RODOLFO; LUCAS MACRI
Lugar:
Austin, Texas
Reunión:
Simposio; SciPy 2014; 2014
Institución organizadora:
Python Software Foundation
Resumen:
In preparation for the TOROS project designed to survey the southern hemisphere sky in search for transients, we develop a pipeline for image analysis and processing based on Python. The code makes use of the open source image processing library OpenCV to align the images astrometrically and makes extended use of other astronomical specific routines like the Astropy package to deal with FITS files. The design contemplates a integration with SciDB, Astrometry.net and other pythonic astronomical tools. We show applications to real (CSTAR and TORITOS telescopes) and simulated data samples of this optical transients discovery automated tool which will provide the input for a machine learning classification tool of light-curves based on AstroML and Scikit-Learn libraries currently under development.
