2019
DOI: 10.1088/1742-6596/1226/1/012004
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Evaluating a proxy of the local entropy production rate on the solar photosphere

Abstract: The evaluation of the entropy production rate on the solar photosphere and its probability distribution are the key issues for studying the non-equilibrium dynamics of the solar convection. The local entropy production rate can be easily evaluated using the vertical heat flux as a proxy, which is given by a product between the line-of-sight velocity and the surface temperature. In this framework, the solar photosphere provides an incomparable laboratory to study turbulent convection in a dissipative non-equili… Show more

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Cited by 1 publication
(4 citation statements)
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“…The local vertical heat flux is evaluated from vertical velocity maps and temperature maps, as discussed in [ 55 , 56 ]. We compute the vertical velocity maps using the CoG method: where the integral is extended over the entire line profile.…”
Section: Dataset and Methodsmentioning
confidence: 99%
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“…The local vertical heat flux is evaluated from vertical velocity maps and temperature maps, as discussed in [ 55 , 56 ]. We compute the vertical velocity maps using the CoG method: where the integral is extended over the entire line profile.…”
Section: Dataset and Methodsmentioning
confidence: 99%
“…Considering small perturbations of the atmospheric parameters (e.g., vertical velocity, magnetic fields, density and so on), the RFs identify the atmospheric layer where the Stokes profiles are more sensible to these perturbations; therefore, the RFs localize the atmospheric layers where the spectral line is mainly formed [ 64 ]. Using the RF for the velocity computed for the 630.15 nm spectral line (see Figure 4 ), we estimate that the atmospheric layer associated with velocity maps is km above the base of the photosphere [ 55 ]. Thus, due to the temperature fluctuations associated with the base of the photosphere (i.e., km computed from a Kurucz model [ 65 ]), we can assert that the temperature and vertical velocity signals are generated by the same atmospheric layer within the uncertainties.…”
Section: Dataset and Methodsmentioning
confidence: 99%
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