Dynamics of photospheric bright points in G-band derived from two fully automated algorithms. (Slovak Title: Dynamika fotosférických jasných bodov v G-páse odvodená použitím dvoch plne automatických algoritmov)

Details Dynamics of photospheric bright points in G-band derived from two fully automated algorithms. (Slovak Title: Dynamika fotosférických jasných bodov v G-páse odvodená použitím dvoch plne automatických algoritmov) Dynamics of photospheric bright points in G-band derived from two fully automated algorithms. (Slovak Title: Dynamika fotosférických jasných bodov v G-páse odvodená použitím dvoch plne automatických algoritmov)

Dec 2010

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010nspm.conf...25b&link_type=abstract

Proceedings of the 20th National Solar Physics Meeting, held 31 May - 4 June, 2010 in Papradno, Slovakia, p. 25-29

Physics

Scientific paper

Concentrations of small-scale magnetic field in the solar photosphere can be identified in the G-band of the solar spectrum as bright points. Studying the dynamics of the bright points in the G-band (BPGBs) can also help in addressing many issues related to the problem of the solar corona heating. In this work, we have used a set of 142 specled images in the G-band taken by the Dutch Open Telescope (DOT) on 19 October 2005 to make a comparison of two fully automated algorithms identifying BPGBs: an algorithm developed by Utz et al. (2009, 2010), and an algorithm developed following the work of Berger et al. (1995, 1998). We then followed in time and space motion of the BPGBs identified by both algorithms and constructed the distributions of their lifetimes, sizes and speeds. The results show that both algorithms give very similar results for the BPGB lifetimes and speeds, but their results vary significantly for the sizes of the identified BPGBs. This difference is due to the fact that in the case of the Berger et al. identification algorithm no additional criteria were applied to constrain the allowed BPGB sizes. As a result in further studies of the BPGB dynamics we will prefer to use the Utz algorithm to identify and track BPGBs.

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