Characterisation of shockwave signatures at millimetre wavelengths from Bifrost simulations
Eklund, H; Wedemeyer, S; Snow, B; et al.Jess, DB; Jafarzadeh, S; Grant, SDT; Carlsson, M; Szydlarsk, M
Date: 21 December 2020
Article
Journal
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
Publisher
Royal Society
Publisher DOI
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Abstract
Observations at millimetre wavelengths provide a valuable tool to study the small scale
dynamics in the solar chromosphere. We evaluate the physical conditions of the atmosphere
in the presence of a propagating shock wave and link that to the observable signatures
in mm-wavelength radiation, providing valuable insights into the ...
Observations at millimetre wavelengths provide a valuable tool to study the small scale
dynamics in the solar chromosphere. We evaluate the physical conditions of the atmosphere
in the presence of a propagating shock wave and link that to the observable signatures
in mm-wavelength radiation, providing valuable insights into the underlying physics
of mm-wavelength observations. A realistic numerical simulation from the 3D radiative
Magnetohydrodynamic (MHD) code Bifrost is used to interpret changes in the atmosphere
caused by shock wave propagation. High-cadence (1 s) time series of brightness temperature
(Tb
) maps are calculated with the Advanced Radiative Transfer (ART) code at the wavelengths
1.309 mm and 1.204 mm, which represents opposite sides of spectral band 6 of the Atacama
Large Millimeter/submillimeter Array (ALMA). An example of shock wave propagation
is presented. The brightness temperatures show a strong shock wave signature with large
variation in formation height between ∼ 0.7 to 1.4 Mm. The results demonstrate that
millimetre brightness temperatures efficiently track upwardly propagating shock waves in the
middle chromosphere. In addition, we show that the gradient of the brightness temperature
between wavelengths within ALMA band 6 can potentially be utilised as a diagnostics tool in
understanding the small-scale dynamics at the sampled layers.
Mathematics and Statistics
Faculty of Environment, Science and Economy
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