Validation of Single-Station Analysis (SSA) of IPS using MEXART routines in multi-station spectra. Comparison with Cross Correlation Function (CCF) analysis results
Abstract
The phenomenon of Interplanetary Scintillation (IPS) occurs from the scattering of radio waves coming from compact sources that cross electron density fluctuations in the interplanetary medium. Analyzing these fluctuations in the measurements of flux intensity of galactic radio sources, it is possible to infer some properties of the solar wind. Solar wind studies based on CIP observations have provided valuable information on the physics of the internal heliosphere for over 50 years. There are two techniques that provide CIP data: 1) Single-Station Analysis (SSA), where a theoretical model is fitted to the observed spectrum and 2) Cross-Correlation Function (CCF), where two antennas separated by a few kilometers Simultaneously and independently measure the same radio source. In order to combine and complement solar wind speed observations, it is important to validate the results of these two IPS techniques. In this work we analyze events from previously studied MERLIN observations using the CCF methodology. The SSA adjustment is applied to these observations and compared with the previous results to validate the two techniques. The objective is to know the behavior of the parameters in cases studied by CCF that can be implemented in the SSA model. This work studies the ability of the SSA model to describe complex events in the interlpanetary environment and seeks to improve the adjustment of parameters from an individual spectrum to the theoretical model. The validation of these two methodologies is importance to be able to combine data in real time of different radio telescopes that conform the initiative to create the Worldwide InterPlanetary Scintillation Station (WIPSS) initiative to monitoring solar wind structures in real time using data from IPS.
- Publication:
-
Solar Heliospheric and INterplanetary Environment (SHINE 2017)
- Pub Date:
- July 2017
- Bibcode:
- 2017shin.confE.147C