Abstract:
The astronomical data analysis consists of two crucial process; data reduction of the captured images and data
analysis of the derived magnitudes. We present the platform ASIVA, a data analysis platform which comes along with a data reduction pipeline. The data reduction pipeline gives flexibility to analyse the FITS images
and also perform image alignment for detecting the correct image coordinates for required objects. It can be
custom scheduled with cron jobs so that it picks the latest data and appends the results accordingly. The data
analysis platform allows user to effectively analyse the ensemble data and perform accurate data processing
and grouping with ease. It is integrated with a custom algorithm to detect the variable stars from an ensemble
with its relative standard deviations. The statistical, spectral and non-linear dynamics features can be extracted
from time series data which can be eventually used for in-depth analysis. To validate the capability, we have
analysed 15 nights of Orion Nebula Cluster field in I filter which had 1585 images. ASIVA reduces manual
effort to a great extent thus saves analysis time and excludes human errors.
