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A comparison of the use of genetic and hill-climbing algorithms to fit low-l solar p-mode spectra

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Abstract

We present a comparative study of low-l solar p-mode parameters extracted by genetic-algorithm and ‘standard’ hill-climbing minimisation routines. To effect this we make use of observations made in integrated sunlight by the Birmingham Solar-Oscillations Network (BiSON) and the GOLF instrument on board the ESA/NASA SOHO satellite, in addition to artificial data. We find that over the central part of the p-mode range the two fitting routines return similar results. However, at low frequencies — where the S/N in the modes is low and their resonant peaks narrow — we find that the genetic routine appears to offer more robust estimates of the underlying parameters.

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Authors and Affiliations

  1. School of Physics and Astronomy, University of Birmingham, Edgbaston, Birmingham, B15 2TT, U.K.

    S.T. Fletcher, W.J. Chaplin & Y. Elsworth

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  1. S.T. Fletcher
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  2. W.J. Chaplin
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  3. Y. Elsworth
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Fletcher, S., Chaplin, W. & Elsworth, Y. A comparison of the use of genetic and hill-climbing algorithms to fit low-l solar p-mode spectra. Solar Physics 220, 361–369 (2004). https://doi.org/10.1023/B:SOLA.0000031377.14449.31

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  • DOI: https://doi.org/10.1023/B:SOLA.0000031377.14449.31

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