Abstract Details
| Name: Akshay S Affiliation: IISER Pune, India Conference ID: ASI2015_743 Title : Automated characterisation of weak solar bursts in the MWA data Authors and Co-Authors : Akshay S. (1), Divya Oberoi (2), Brian Timar (3), Victor Pankratius (4), Colin Lonsdale(4) 1 - IISER Pune, India 2 - NCRA-TIFR, Pune, India 3 - UC Berkeley, CA, USA 4 - MIT Haystack Observatory, MA, USA Abstract Type : Poster Abstract Category : Sun and the Solar System Abstract : The newly commissioned Murchison Widefield Array (MWA) has revealed the presence of a numerous weak and short lived low frequency radio solar bursts. These emission features have duration of order a second, have relatively narrow spectral widths and are surprisingly numerous even during quiet solar conditions. Their appearance in the time-frequency plane is unlike that of the any of the known classes of radio bursts, and they are at least an order of magnitude weaker than the weakest type III bursts routinely monitored and reported (e.g. by Automated Radio Burst Identification System operational at the Learmonth Radioheliograph in Australia). A systematic and detailed characterization of the statistical properties of these bursts is the first logical step to build an understanding of these bursts. However, the MWA data are quite voluminous (~1 TB/hour) and apart from being computing intensive, interferometric analysis is usually also very human effort intensive. To alleviate this situation, we have developed a novel system using wavelet decompositions, and thresholding techniques for event recognition and parameter extraction in an automated manner. Here we present the statistical properties of these weak radio bursts based on a large number of events, as detected and characterised by these automated methods. |