We propose a method to classify faint objects from digital astronomical images based on a layered feedforward neural network which has been trained by the backpropagation procedure (Werbos 1974). An "academic" example showing that artificial neural network method behaves as a Bayesian classifier is discussed. A comparison of the classification

We have applied the InfraRed Flux Method (IRFM) to a sample of 475 dwarfs and subdwarfs in order to derive their effective temperatures with a mean accuracy of about 1.5%. We have used the new homogeneous grid of theoretical model atmosphere flux distributions developed by Kurucz (1991, 1993) for the application of the IRFM. The atmospheric

A large monitoring project, OJ-94, was set up with the aim of monitoring the blazar OJ 287 during the predicted optical outburst (in fall 1994, Sillanpaa et al. 1988) and simultaneously to collect a large data base for a small sample of blazars. Through this campaign we have obtained the best ever obtained optical light curve for any extragalactic

Comparing the different wavelengths of the DIRBE integrated surface brightness maps at positive and negative Galactic longitudes on the plane near the Galactic center, it is shown that there exists a thick dust lane (between 1.0 and 2.6 mag of absorption in K) at negative longitudes (as compared to positive ones), which follows the "standard"

We have discovered an object in the field of the Galactic open cluster [1]36 which exhibits a nebulous tail-like structure and a high velocity outflow. We first observed the jet morphology in optical images taken at the Michigan-Dartmouth-MIT (MDM) Observatory at Kitt Peak. This source, located at 05h36min05.9s, 34deg06'12.1" (J2000), is found to

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