scispace - formally typeset
Open AccessPosted Content

Distributed and Parallel Net Imaging

Reads0
Chats0
TLDR
A very complex vision system is developed to detect luminosity variations connected with the discovery of new planets in the Universe and a private net is implemented to perform an automatic vision and decision architecture.
Abstract
A very complex vision system is developed to detect luminosity variations connected with the discovery of new planets in the Universe. The traditional imaging system can not manage a so large load. A private net is implemented to perform an automatic vision and decision architecture. It lets to carry out an on-line discrimination of interesting events by using two levels of triggers. This system can even manage many Tbytes of data per day. The architecture avails itself of a distributed parallel network system based on a maximum of 256 standard workstations with Microsoft Window as OS.

read more

References
More filters
Journal ArticleDOI

Microlensing search towards M 31

TL;DR: In this article, the authors present the first results of the analysis of data collected during the 1998-99 observational campaign at the 1.3 meter McGraw-Hill Telescope, towards the Andromeda galaxy (M 31), aimed to detect gravitational microlensing effects as a probe for the presence of dark matter in our Galaxy and in the M 31 halo.
Posted Content

On-Line Selection and Quasi-On-Line Analysis of Data using the Pixel Lensing Technique

TL;DR: In this article, the authors proposed a new method to perform a data selection on-line by using two levels of trigger and a quasi-on-line data analysis, which avoids to resolve each source star and so it has the advantage to provide an high statistic.
Journal ArticleDOI

MEDEA: a real time imaging pipeline for pixel lensing

TL;DR: The MEDEA (Microlensing Experiment Data-Analysis Software for Events with Amplification) as mentioned in this paper tool can be used either in a fully automatic or semi-automatic mode and can perform an on-line identification of events by means of a two level trigger and a quasi-on-line data analysis.