Artificial Intelligence in Astronomy

Artificial intelligence has several potential applications in astronomy. Two of them have been tackled by a Napoli-Salerno team.


 
 
 
NExt Neural Extractor is an algorithm using an unsupervised neural network for object detection in wide field optical images, including extensions for multi-band data. A further neural network classifies the detected objects in stars and galaxies. Give a look at the paper #23 in my list of publications, if you are interested in.
Neural redshift An obvious application of neural network to a difficult (from the astronomical point of view) or simple (from the information theory point of view) problem: the determination of the redshift by only using photometric information (which includes size in addition to colors, for example). Give a look at the paper #30 in my list of publications, if you are interested in. Click here for an application to SDSS EDR.