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How to analyse bioluminescence time series from in situ observatories ? Example from high frequency records and real time data at the ANTARES site.

Abstract : In this study, we use data from the ANTARES neutrino telescope, located 40 km off the French Mediterranean coast at 2475 m depth. In natural environments, non-stationary and non-linearly datasets are commonly recorded but only two methods are existing to explore these particular data. The wavelet (Torrence and Compo, 1998) and the Hilbert-Huang (Huang et al., 1998) methods are edicated to analyse fluctuations at various scales of time and frequencies. Both methods decompose time series into bases of functions dedicated to specific frequencies. This study provides an analysis of time series using these two decomposition methods. Several long time series between the end of 2007 and the middle of 2010 have been analysed providing informations on links between the biological variable bioluminescence and oceanographic variables. These relations are characterized using common frequencies excited in the signals and time where they are excited. Then, in a final aim bioluminescence sensors would be a new way to provide informations of ecological global changes taking place in the deep ecosystems.
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https://hal.archives-ouvertes.fr/hal-00756806
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Submitted on : Friday, November 23, 2012 - 5:31:17 PM
Last modification on : Wednesday, April 13, 2022 - 2:28:02 PM

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  • HAL Id : hal-00756806, version 1

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Severine Martini, Christian Tamburini, David Nerini. How to analyse bioluminescence time series from in situ observatories ? Example from high frequency records and real time data at the ANTARES site.. International symposium on bioluminescence and chemiluminescence (17th), May 2012, Guelph, Canada. ⟨hal-00756806⟩

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