INVESTIGADORES
MANDRINI Cristina Hemilse
congresos y reuniones científicas
Título:
Solar flare detection using neural networks
Autor/es:
FERNÁNDEZ BORDA, R.A.; MININNI, P.D.; MANDRINI, C.H.; GÓMEZ, D.O.; BAUER, O.H.; ROVIRA, M.G.
Lugar:
Santiago de Chile
Reunión:
Workshop; Magnetic Fields across the Hertzsprung-Russell Diagram; 2001
Institución organizadora:
ESA
Resumen:
We present a new method to automatically detect flare events in the
optical range. The method uses neural networks for pattern recognition and is
conceived to be applied to full disk H, images. Images are pre-analyzed in real
time, allowing the design of automatic patrol processes without human
assistance, which can detect and record flare events with the highest time
cadence available. In this work we use a two-layer network with a hidden layer
of TLUs and an output layer of ADALINEs. The network was trained using a
back-propagation algorithm. We have applied the method to full disk raw images
obtained by HASTA (H-alpha Solar Telescope for Argentina), which is located at
OAFA (Observatorio Astrononico Felix Aguilar), El Leoncito, San Juan,
Argentina. This method is found to be useful for the detection of flares in the
complete optical classification, being portable to any H-alpha instrument and
providing unique criteria for flare detection independent of the observer.