Prospects and challenges of numerical modelling of the Sun at millimetre wavelengths

2025-05-02 0 0 6.04MB 32 页 10玖币
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Prospects and challenges of numerical
modelling of the Sun at millimetre
wavelengths
Sven Wedemeyer 1, Gregory Fleishman 2, Jaime de la Cruz Rodr´ıguez3,
Stanislav Gun´
ar4, Jo˜
ao M. da Silva Santos5, Patrick Antolin6, Juan Camilo
Guevara G ´
omez 1, Mikolaj Szydlarski 1, Henrik Eklund 1,3
1Rosseland Centre for Solar Physics, Institute of Theoretical Astrophysics,
University of Oslo, Postboks 1029 Blindern, N-0315 Oslo, Norway
2
Center For Solar-Terrestrial Research, New Jersey Institute of Technology, Newark,
NJ 07102, USA
3Institute for Solar Physics, Dept. of Astronomy, Stockholm University, AlbaNova
University Centre, SE-10691 Stockholm, Sweden
4Astronomical Institute, The Czech Academy of Sciences, 25165 Ondˇ
rejov, Czech
Republic
5National Solar Observatory, 3665 Discovery Drive, Boulder, CO, USA
6Department of Mathematics, Physics and Electrical Engineering, Northumbria
University, Newcastle upon Tyne, NE1 8ST, UK
Correspondence*:
Sven Wedemeyer
sven.wedemeyer@astro.uio.no
ABSTRACT
The Atacama Large Millimeter/submillimeter Array (ALMA) offers new diagnostic possibilities
that complement other commonly used diagnostics for the study of our Sun. In particular, ALMA’s
ability to serve as an essentially linear thermometer of the chromospheric gas at unprecedented
spatial resolution at millimetre wavelengths and future polarisation measurements have great
diagnostic potential. Solar ALMA observations are therefore expected to contribute significantly to
answering long-standing questions about the structure, dynamics and energy balance of the outer
layers of the solar atmosphere. In this regard, current and future ALMA data are also important
for constraining and further developing numerical models of the solar atmosphere, which in
turn are often vital for the interpretation of observations. The latter is particularly important
given the Sun’s highly intermittent and dynamic nature that involves a plethora of processes
occurring over extended ranges in spatial and temporal scales. Realistic forward modelling of the
Sun therefore requires time-dependent three-dimensional radiation magnetohydrodynamics that
account for non-equilibrium effects and, typically as a separate step, detailed radiative transfer
calculations, resulting in synthetic observables that can be compared to observations. Such
artificial observations sometimes also account for instrumental and seeing effects, which, in
addition to aiding the interpretation of observations, provide instructive tools for designing and
optimising ALMA’s solar observing modes. In the other direction, ALMA data in combination with
other simultaneous observations enables the reconstruction of the solar atmospheric structure
1
arXiv:2210.13894v1 [astro-ph.SR] 25 Oct 2022
Wedemeyer et al. Numerical modelling of the Sun at millimetre wavelengths
via data inversion techniques. This article highlights central aspects of the impact of ALMA for
numerical modelling for the Sun, their potential and challenges, together with selected examples.
Keywords: Sun: radio radiation, Sun: atmosphere, Sun: magnetic fields, Radiative transfer
1 INTRODUCTION
When pointed at the Sun, the Atacama Large Millimeter/submillimeter Array (ALMA, Wootten and
Thompson, 2009) mostly observes radiation that originates from the solar chromosphere. This atmospheric
layer, which is situated between the photosphere below and the transition region and corona above, is
highly dynamic and intermittent and shows variations on a large range of spatial and temporal scales.
Plasma with chromospheric conditions can also be found in the corona in the form of prominences and
coronal rain. These structures are integral components of the solar corona in the sense that they do not only
reflect specific physical processes of the corona but also influence its evolution (Vial and Engvold, 2015;
Antolin and Froment, 2022). The investigation of the thermodynamic conditions and morphology of these
dense and cool structures supported by the magnetic field is therefore also a major field in which ALMA
can make a major contribution.
Despite very active research regarding the chromosphere, which involves observations at many different
wavelength ranges supported by numerical simulations, yet many fundamental questions concerning this
layer remain open. The main reason is that the chromosphere is notoriously difficult to observe. Only a
small number of spectral lines and continua are formed in the chromosphere, usually across extended
height ranges. The formation of chromospheric spectral lines involves non-equilibrium effects such as,
e.g., non-local thermodynamic equilibrium (NLTE
1
, see, e.g., Uns
¨
old, 1955; Mihalas, 1978; Carlsson and
Stein, 1992, and references therein) and time-dependent hydrogen ionisation (Carlsson and Stein, 2002).
Consequently, the few currently available diagnostics like the spectral lines of singly ionised calcium
and magnesium are difficult to interpret, in particular in combination with instrumental limitations. As a
result, the physical properties of the observed atmospheric region can only be derived with rather large
uncertainties, hampering the progress in understanding this important part of the solar atmosphere.
Observations of the solar continuum radiation with ALMA, as offered on a regular basis since 2016,
provide unprecedented diagnostic possibilities that are complementary to other chromospheric diagnostics
(Bastian, 2002; Karlick
´
y et al., 2011; Benz et al., 2012; Wedemeyer et al., 2016; Bastian et al., 2018). The
radiation continuum at sub-millimetre/millimetre ((sub-)mm) wavelengths, including the range accessed by
ALMA, forms essentially under conditions of local thermodynamic equilibrium (LTE) so that the observed
brightness temperature,
Tb
, is closely related to the actual (electron) temperature of the chromospheric gas
in a (corrugated) layer whose average height roughly increases with the selected observing wavelength.
Unfortunately, observations at (sub-)mm wavelengths prior to ALMA had too low spatial and temporal
resolution for resolving the small spatial and short temporal scales on which the intricate chromospheric
dynamics occur. For instance, the Berkeley-Illinois-Maryland Array (BIMA) had a spatial resolution
corresponding to a restored beam size of
10
” at a wavelength of
λ= 3.5
mm (White et al., 2006;
Loukitcheva et al., 2009). The full diagnostic potential of millimetre wavelengths has therefore only
been unlocked by ALMA thanks to its high temporal and (comparatively high) spatial resolution, which
significantly exceeds the resolution achieved by previous millimetre and radio observatories. It should
1
In this context, NLTE or non-LTE describes deviations from LTE conditions for the atomic level populations (which can then be calculated under the
assumption of statistical equilibrium), the electron density (mostly due to non-equilibrium hydrogen ionisation), and the the radiative source function that is no
longer given by the Boltzmann function.
This is a provisional file, not the final typeset article 2
Wedemeyer et al. Numerical modelling of the Sun at millimetre wavelengths
be noted that the millimetre wavelengths addressed in this article are also referred to in terms of their
corresponding frequencies (a few 10s GHz up to
1 THz) and as (ALMA) receiver bands
2
that covered the
discussed wavelength range. In particular, ALMA Bands 3 and 6, which have been used most frequently
for solar observations so far, refer to (central) wavelengths of 3.0 mm and 1.3 mm and corresponding
frequencies of 100 GHz and 230-240 GHz, respectively.
Because ALMA is relatively new as a diagnostic tool for the solar chromosphere, still many aspects are not
understood well yet. For instance, the exact formation heights and thus the layers sampled by the different
receiver bands of ALMA and likewise the oscillatory behaviour seen in the ALMA observations are still
debated (see, e.g., Jafarzadeh et al., 2021; Patsourakos et al., 2020; Narang et al., 2022; Nindos et al., 2021).
On the other hand, as solar observing with ALMA is still in its infancy, its capabilities will continue to
improve in the near future. However, any new ability to obtain unprecedented observations in any part of the
spectrum always brings its own challenges in the interpretation of the resulting data. Fortunately, diagnostics
and understanding of the ALMA observations and their relationship to the coordinated observations in
other spectral domains can benefit from dedicated numerical modelling.
Like in many other fields of astrophysics, numerical simulations have developed into an essential tool
in solar physics. Also in the context of solar observations with ALMA, simulations help to interpret
observational data but can also be used to develop and optimise new observing strategies (see, e.g.,
Wedemeyer-B
¨
ohm et al., 2007; Loukitcheva et al., 2015; Fleishman et al., 2021a). In return, comparison
with observations provide crucial tests for the veracity of existing models of the solar atmosphere. In
this brief overview article, the potential value of numerical simulations for solar science with ALMA is
explored, ranging from forward modelling of thermal and non-thermal mm continuum radiation and the
impact of magnetic fields (Sect. 2) to data inversion techniques and modelling of instrumental and seeing
effects (Sect. 3). Examples of scientific applications are presented in Sect. 4, followed by a summary and
outlook in Sect. 5.
2 FORWARD MODELLING AND ARTIFICIAL OBSERVATIONS
Forward modelling of the solar atmosphere is typically split into the following steps: (i) Radiation
(magneto)hydrodynamics simulations (Sect. 2.1), (ii) synthesis of observables via radiative transfer
calculations (Sect. 2.2), and (iii, optionally) application of simulated observational effects (e.g., limited
angular resolution, see Sect. 2.3).
2.1 Radiation magnetohydrodynamic simulations
Semi-empirical models of the solar atmosphere like those by Vernazza et al. (1981), Fontenla et al.
(1993), Avrett and Loeser (2008) and others have been an important milestone and still are widely used
for reference. Millimetre continuum observations were also used for the construction of these models,
which therefore give a first idea of where and under which conditions the radiation continuum at different
millimetre wavelenghts is formed – on average. While the employed radiative transfer modelling, which
even accounts for NLTE, is elaborate, this class of models can by nature not account for the pronounced
temporal and spatial variations seen at the much increased resolution of modern observations.
The next step in the development towards realistic models was therefore to account for temporal variations
in the chromosphere. The time-dependent one-dimensional simulations by Carlsson and Stein (1995) and
variations therefore capture well the dynamics introduced by shock waves that propagate through the solar
2https://www.eso.org/public/teles-instr/alma/receiver-bands/
Frontiers 3
Wedemeyer et al. Numerical modelling of the Sun at millimetre wavelengths
Figure 1.
Forward modelling of synthetic brightness temperatures at millimetre wavelengths starting from
a 3D model snapshot (or a time series of such) from a Bifrost simulation (top left). The model features
an enhanced network region in the centre surrounded by Quiet Sun. The radiative transfer calculations
with ART produce a brightness temperature map for the selected frequencies (shown here: 239 GHz, top
right) to which then a simple point spread function (PSF) equivalent to an idealised synthesised beam for
ALMA can be applied (lower right). The PSF is shown in the top left corner of the panel. A more realistic
simulation of atmospheric seeing and instrumental effects as done with SASim (and then reconstructed
with SoAP) results in a stronger degradation (lower left) of the original image than compared to the simple
PSF. Please note that only a moderate example is shown that corresponds to good observing conditions.
The synthesised beam is shown in the top left corner of the reconstructed image.
atmosphere and the resulting implications for the chromospheric plasma properties, i.e. the ionisation
degree of hydrogen and thus the (non-equilibrium) electron density (Carlsson and Stein, 2002). These
simulations have been used for the synthesis of the millimetre continuum and thus provided first predictions
This is a provisional file, not the final typeset article 4
Wedemeyer et al. Numerical modelling of the Sun at millimetre wavelengths
of the brightness temperature variations that a telescope with sufficient resolution would be able to observe
(Loukitcheva et al., 2008).
However, the solar atmosphere and in particular the highly dynamic and intermittent chromosphere is
a truly time-dependent three-dimensional phenomenon, which poses significant challenges for realistic
modelling capable of reproducing observational findings. Also, temporal variations on short timescales
are typically connected to spatial variations across short length scales. Consequently, accounting for the
full time-dependence and multi-dimensionality of the solar chromosphere is a substantial step forward
from one-dimensional approaches. In view of limited computational resources, early 3D simulations were
restricted in the overall number of grid cells, seeking a compromise between required resolution and
extent of the computational domain, and the physical processes that could be numerically treated (see, e.g.,
Skartlien et al., 2000; Wedemeyer et al., 2004). The enormous increase in computational power over the last
decades now enable simulations with much higher numbers of grid cells and thus a better representation of
the chromospheric small-scale structure and larger extents of the modelled region. However, self-consistent
numerical simulations of whole Active Regions are still at the modelling frontier (Rempel et al., 2009).
Numerical two-dimensional (2D) and and three-dimensional (3D) models produced with the radiation
magnetohydrodynamics (rMHD) simulation codes Bifrost (Gudiksen et al., 2011) and
CO5BOLD
(Freytag
et al., 2012) have already been used as basis for the synthesis of mm continuum radiation (see, e.g.,
Wedemeyer-B
¨
ohm et al., 2007; Loukitcheva et al., 2015) but an increasing number of codes is developing
the necessary functionality, e.g., MURaM (Przybylski et al., 2022). Both Bifrost and
CO5BOLD
solve
the equations of magnetohydrodynamics and radiative energy transfer together with a realistic equation
of state and realistic opacities and further relevant physics. A typical model includes a small part of
the solar atmosphere (from a few Mm to a few 10 Mm, cf. Wedemeyer et al., 2016, and references
therein) and extends from the upper convection zone into the chromosphere and/or low corona (see
Fig. 1, upper left). This way the dynamics in the model are driven self-consistently and all layers mapped
by ALMA are included. A simulation typically starts with an evolved model snapshot (or any other
initial condition) and is evolved in time step by step, where the computational time steps are of the
order of 1 ms to 100 ms, depending on the magnetic field strength in the model. Simulation snapshots
of the physical parameters can be output at freely selectable cadence. Modelling the layers of the solar
atmosphere above the temperature minimum in a realistic way requires the inclusion of additional physical
processes and deviations from equilibrium conditions that are usually computationally expensive. As
discussed in Sect. 2.2.1, the detailed treatment of time-dependent non-equilibrium hydrogen ionisation,
like it is implemented in Bifrost, is of particular importance for the continuum radiation at millimetre
wavelengths. Adding also non-equilibrium ionisation of helium and ion-neutral interactions (ambipolar
diffusion) significantly increases the computational costs. Consequently, only a small number of models so
far can account for these additional ingredients and are necessarily limited to 2.5D in order to render such
modelling computationally feasible (Mart
´
ınez-Sykora et al., 2020). These models suggest that the effective
formation heights of the millimetre continuum in both ALMA Band 3 and 6 is similar in active regions
(ARs) and network regions, which contradicts results from previous simulations (see Wedemeyer et al.,
2016, and references therein) and actual ALMA observations (e.g., Hofmann et al., 2022). Clearly, the
inclusion of more physical processes relevant under chromospheric conditions as implemented in the 2.5D
simulations by Mart
´
ınez-Sykora et al. (2020) is an essential step in the right direction. However, given
the complicated small-scale dynamics of the chromosphere, modelling this layer in full 3D at sufficient
resolution is a critical requirement that comes with high computational costs.
Frontiers 5
摘要:

ProspectsandchallengesofnumericalmodellingoftheSunatmillimetrewavelengthsSvenWedemeyer1,GregoryFleishman2,JaimedelaCruzRodr´guez3,StanislavGun´ar4,Jo˜aoM.daSilvaSantos5,PatrickAntolin6,JuanCamiloGuevaraG´omez1,MikolajSzydlarski1,HenrikEklund1;31RosselandCentreforSolarPhysics,InstituteofTheoretical...

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