A software for streaming processing of photometric observations

TL;DR

This paper presents a software system that utilizes existing tools and a novel correlation-based algorithm to detect transient phenomena in photometric image series, accounting for atmospheric distortions and enabling flexible observation intervals.

Contribution

It introduces a new algorithm for correcting atmospheric distortions in photometric data, enhancing transient detection capabilities in astronomical observations.

Findings

Effective detection of transient phenomena demonstrated.

Algorithm accounts for atmospheric distortions.

Flexible observation interval analysis possible.

Abstract

Software products nova.astrometry.net, SExtractor and Aladin are shown to be used for searching for transient phenomena in series of photometric images. An algorithm for taking into account atmospheric distortions introduced into images during observations is pro-posed. The algorithm is based on the correlation analysis of the series of photometric estimates of the brightness of objects in the image field. The possibility of searching for transient phenomena is shown to be on time intervals smaller or longer than the observation time.