Solar flares and thermal wind reversals: Critical metastable states

A. Bershadskii; J. J. Niemela; K. R. Sreenivasan

doi:10.1016/j.physleta.2004.08.053

Solar flares and thermal wind reversals: Critical metastable states

A. Bershadskii, J. J. Niemela, K. R. Sreenivasan

Research output: Contribution to journal › Article › peer-review

Abstract

Two data sets of metastable states duration time: one obtained in a laboratory thermal convection experiment and another in the satellite's Reuven Ramaty High Energy Solar Spectroscopic Imager (RHESSI: 2002-2003 yy) observations, are compared in order to extract an information about a general (common) statistical mechanism in the onset of the metastable states. Simple probability distributions for both data sets show the same distinctive power-law (with exponent -1.1±0.1) and the exponential tails. More sophisticated analysis with moving average moments reveals a specific critical-like clusterization of the data in the both data sets with remarkably close values of the exponents.

Original language	English (US)
Pages (from-to)	15-19
Number of pages	5
Journal	Physics Letters, Section A: General, Atomic and Solid State Physics
Volume	331
Issue number	1-2
DOIs	https://doi.org/10.1016/j.physleta.2004.08.053
State	Published - Oct 11 2004

Keywords

Critical metastable states
Solar flares

ASJC Scopus subject areas

General Physics and Astronomy

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10.1016/j.physleta.2004.08.053

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title = "Solar flares and thermal wind reversals: Critical metastable states",

abstract = "Two data sets of metastable states duration time: one obtained in a laboratory thermal convection experiment and another in the satellite's Reuven Ramaty High Energy Solar Spectroscopic Imager (RHESSI: 2002-2003 yy) observations, are compared in order to extract an information about a general (common) statistical mechanism in the onset of the metastable states. Simple probability distributions for both data sets show the same distinctive power-law (with exponent -1.1±0.1) and the exponential tails. More sophisticated analysis with moving average moments reveals a specific critical-like clusterization of the data in the both data sets with remarkably close values of the exponents.",

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T1 - Solar flares and thermal wind reversals

T2 - Critical metastable states

AU - Bershadskii, A.

AU - Niemela, J. J.

AU - Sreenivasan, K. R.

PY - 2004/10/11

Y1 - 2004/10/11

N2 - Two data sets of metastable states duration time: one obtained in a laboratory thermal convection experiment and another in the satellite's Reuven Ramaty High Energy Solar Spectroscopic Imager (RHESSI: 2002-2003 yy) observations, are compared in order to extract an information about a general (common) statistical mechanism in the onset of the metastable states. Simple probability distributions for both data sets show the same distinctive power-law (with exponent -1.1±0.1) and the exponential tails. More sophisticated analysis with moving average moments reveals a specific critical-like clusterization of the data in the both data sets with remarkably close values of the exponents.

AB - Two data sets of metastable states duration time: one obtained in a laboratory thermal convection experiment and another in the satellite's Reuven Ramaty High Energy Solar Spectroscopic Imager (RHESSI: 2002-2003 yy) observations, are compared in order to extract an information about a general (common) statistical mechanism in the onset of the metastable states. Simple probability distributions for both data sets show the same distinctive power-law (with exponent -1.1±0.1) and the exponential tails. More sophisticated analysis with moving average moments reveals a specific critical-like clusterization of the data in the both data sets with remarkably close values of the exponents.

KW - Critical metastable states

KW - Solar flares

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Solar flares and thermal wind reversals: Critical metastable states

Abstract

Keywords

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