A Study of Measurement Errors in Tracking Coronal Mass Ejections Using Coronagraph Data

Details A Study of Measurement Errors in Tracking Coronal Mass Ejections Using Coronagraph Data A Study of Measurement Errors in Tracking Coronal Mass Ejections Using Coronagraph Data

May 2001

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2001agusm..sh22c02l&link_type=abstract

American Geophysical Union, Spring Meeting 2001, abstract #SH22C-02

Physics

7509 Corona, 7513 Coronal Mass Ejections, 7594 Instruments And Techniques

Scientific paper

Transient features in the corona and solar wind may be tracked via a sequence of coronagraph images. This necessarily involves user input to identify the feature under scrutiny, whereupon the postion data relative to the overall image scale may be converted into physical units and subsequently the, e.g., plane-of-sky speed of, e.g. a CME, may be inferred. This is inherently a subjective process. Furthermore the error estimates have hitherto largely been based on the user's confidence in his ability to track accurately the same feature through a given sequence of images. As a result, errors are generally systematic rather than random so their distributions will not be known, which makes a statistical analysis of such errors difficult. We have created a sample of N users each of whom derived a plane-of-sky speed for a given CME and study means, deviations and distributions of errors. We also simulate datapoints from both a typical user's data and the mean via a bootstrapping method and attempt to derive an empirical distribution of the errors. Finally we use an edge-detection algorithm to follow the same feature and compare the results with the user-derived and simulated data.

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