SATPLOT - A New Tool for Analysis of SECCHI Heliospheric Imager Data

Details SATPLOT - A New Tool for Analysis of SECCHI Heliospheric Imager Data SATPLOT - A New Tool for Analysis of SECCHI Heliospheric Imager Data

Dec 2010

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010agufmsh41a1774d&link_type=abstract

American Geophysical Union, Fall Meeting 2010, abstract #SH41A-1774

Astronomy and Astrophysics

Astrophysics

[7509] Solar Physics, Astrophysics, And Astronomy / Corona, [7513] Solar Physics, Astrophysics, And Astronomy / Coronal Mass Ejections

Scientific paper

White light images from SECCHI’s heliospheric imagers are difficult to interpret because they represent a line-of-sight projection of optically thin solar wind structures. A structure’s image by itself gives no information about its angle of propagation relative to the Sun-spacecraft line and, indeed, an image may show a superposition of several structures, all propagating at different angles. Analyzing SECCHI heliospheric imager data using plots of elongation (angle from the Sun) versus time at fixed position angle (aka “Jplots”) has proved extremely useful in understanding the observed solar wind structures. This technique has been used to study CME propagation, CIRs and blobs. Here, we report on a new tool software tool SATPLOT developed to create and analyze such elongation versus time plots. Our tool uses a library of cylindrical maps of the data for each spacecraft’s panoramic field-of-view. Each map includes data from threeSECCHI white-light telescopes (the COR2 coronagraph and both heliospheric imagers) at one time for one spacecraft. The maps are created using a Plate Carree projection, optimized for creating the elongation versus time plots. The tool can be used to analyze the observed tracks of features seen in the maps, and the tracks then used to extract information, for example, on the angle of propagation of the feature. Results will be presented showing the use of the tool for analyzing the propagation of CMEs beyond the coronagraph’s field-of-view.

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