Abstract

Abstract. A new method for the automatic detection and tracking of solar filaments is presented. The method addresses the problems facing existing catalogs, such as the one developed recently in the frame of the European Grid of Solar Observations (EGSO) project. In particular, it takes into account the structural and temporal evolution of filaments, differences in intensity as seen from one observation to the next, and the possibility of sudden disappearance followed by reappearance. In this study, the problem of tracking is solved by plotting all detected filaments during each solar rotation on a Carrington map and then by applying region growing techniques on those plots. Using this approach, the "fixed" positions of the envelopes in the Carrington system can be deduced. This is followed by a backward tracking of each filament by considering one full solar rotation. The resulting shifted Carrington map then enables one to follow any filament from one rotation to the next. Such maps should prove valuable for studies of the role of filaments in solar activity, notably coronal mass ejections (CMEs).

Highlights

  • The first series of “Cartes Synoptiques de la Chromosphere Solaire” was published in 1928 by L. d’Azambuja

  • EGSO, the European Grid of Solar Observations, (Bentley et al, 2004)2 is a program funded by the European Community within the 5th Framework Program

  • Meudon Synoptic Maps of Solar Activity provide a powerful synthesis of the visible solar activity during one Carrington rotation

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Summary

Introduction

The first series of “Cartes Synoptiques de la Chromosphere Solaire” was published in 1928 by L. d’Azambuja. The usefulness of these maps comes from their ability to present at a glance a comprehensive view of the solar activity during a full rotation. After 1998, the outline of solar structures was obtained using a graphics tablet, and, once the synthesis was made, the plot of synoptic maps was automatically realized. This is followed by the description of the tracking principles in Sect.

Characteristics of filaments as seen in Hα
Solar feature detection
Image cleaning
Filament detection
Manual generation of Meudon Synoptic maps
Overall description
Dedicated filament maps
Automatic generation of synoptic maps of filaments and their tracking
Examples of scientific investigations using Meudon synoptic maps
Findings
Conclusions
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