Issue 
A&A
Volume 522, November 2010



Article Number  A102  
Number of page(s)  4  
Section  Numerical methods and codes  
DOI  https://doi.org/10.1051/00046361/201014278  
Published online  09 November 2010 
A 3D radiative transfer framework
VII. Arbitrary velocity fields in the Eulerian frame
^{1}
Hamburger Sternwarte, Gojenbergsweg 112
21029
Hamburg, Germany
email: aseelmann@hs.unihamburg.de;
yeti@hs.unihamburg.de
^{2}
Dept. of Physics and Astronomy, University of
Oklahoma, 440 W. Brooks, Rm
100, Norman,
OK
73019,
USA
email: baron@ou.edu
^{3}
Computational Research Division, Lawrence Berkeley National
Laboratory, MS 50F1650,
1
Cyclotron Road, CA
947208139,
USA
Received:
17
February
2010
Accepted:
17
July
2010
Aims. A solution of the radiativetransfer problem in 3D with arbitrary velocity fields in the Eulerian frame is presented. The method is implemented in our 3D radiative transfer framework and used in the PHOENIX/3D code. It is tested by comparison to our welltested 1D comoving frame radiative transfer code, where the treatment of a monotonic velocity field is implemented in the Lagrangian frame. The Eulerian formulation does not need much additional memory and is useable on stateoftheart computers, even largescale applications with 1000’s of wavelength points are feasible.
Methods. In the Eulerian formulation of the problem, the photon is seen by the atom at a Dopplershifted wavelength depending on its propagation direction, which leads to a Dopplershifted absorption and emission. This leads to a different source function and a different Λ_{∗} operator in the radiative transfer equations compared to the static case.
Results. The results of the Eulerian 3D spherical calculations are compared to our welltested 1D Lagrangian spherical calculations, the agreement is, up to v_{max} = 1 × 10^{3} km s^{1} very good. Test calculation in other geometries are also shown.
Key words: radiative transfer
© ESO, 2010
1. Introduction
A solution of the 1D radiative transfer problem in arbitrary velocity fields in the Lagrangian frame has been developed by Baron & Hauschildt (2004). Knop et al. (2009) optimized their method by reducing the memory footprint of the algorithm (using domain decomposition), and also introduced a new method which speeds up the formal solution by developing an iterative GaussSeidel (GS) type solver where the solution becomes quasianalytic when the source function is interpolated linearly. However, in a 3D setup the limiting factor is the memory footprint which already stretches the limits of modern supercomputers. The memory requirements of a 3D calculation in the Lagrangian frame are very high because one has to store additional wavelength information in every volume element (hereafter voxel) for every solid angle, whereas the 3D Eulerian frame calculation needs more computing time in multilevel applications due to the explicit computing of the opacity for every solid angle point.
In Sect. 2 we describe the Eulerian formulation of the problem, in Sect. 3 the comparison to our welltested 1D code is presented and application examples in other geometrical setups are shown. In Sect. 4 we describe expected and discovered limitations with the formalism in the Eulerian frame.
2. Method
The 3D radiative transfer framework uses the fullcharacteristics method to solve the radiative transfer equations (Hauschildt & Baron 2006). The intensity along a characteristic, which are straight lines with given direction (θ,φ) in the Eulerian frame, is simply given by (1)With this definition, the formal solution for a given characteristic (θ,φ) can be written as where i labels the points along the characteristic, S is the source function and Δτ_{i} is the optical depth, computed, e.g., by using piecewise linear interpolation of the opacity χ along the characteristic: (4)Hauschildt & Baron (2006) give a more detailed explanation of the general method.
Due to the movement of the atom in the Eulerian frame, the atom “sees” the photon (on the characteristic) at a wavelength shifted according to (5)where e_{char} is the unit vector in the direction of the characteristic, c the speed of light and v the velocity of the atom. This leads to a different opacity seen by the characteristic depending on its direction: (6)In the case of line transfer, the profile of the line becomes anisotropic in the Eulerian frame: (7)The solution for the line transfer then proceeds with the Eulerian profile function Φ(λ,θ,φ) and following Baron & Hauschildt (2007), we obtain (8)and (9)where λ is the wavelength in the observers frame, μ = cosθ and φ the solid angle under which the voxel is hit by the characteristic.
Fig. 1 Comparison of the Eulerian 3D and the Lagrangian 1D code with a linear increasing velocity field with v_{max} = 1 × 10^{3} km s^{1} and scattering ϵ_{line} = 10^{2}. Solid: spectra from all outermost voxels in the 3D spherical coordinate grid, dashed: spectrum from the 1D code. 

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3. Application examples
A simple twolevelatom approach was used to test the code, the physical atmosphere setup presented in Sects. 3.1–3.2 is similar to the one used in Hauschildt & Baron (2009), remarks about the numerical resolution of our spherical 3D code can also be found there.
3.1. 3D spherical coordinates
Our welltested Lagrangian 1D spherical code was used to compare its results to the new Eulerian formalisms in the 3D RT code to verify the 3D Eulerian Code.
For this, many test calculations were made with linearly increasing velocity fields up to v_{max} = 1 × 10^{3} km s^{1}. Figure 1 shows the corresponding spectra from a calculation with v_{max} = 1 × 10^{3} km s^{1}, the agreement to the 1D Lagrangian code is very good, the variation of the 3D lines is due to numerical resolution. The 3D model was computed using (n_{r},n_{θ},n_{φ}) = (197 × 99 × 197) = 3.842.091 voxels and a solid angle resolution of (θ_{c},φ_{c}) = (64,64) (computing time: ca. 18h on 2048 CPUs)^{1}.
Fig. 2 Spectra from all outermost voxels in the 3D Cartesian geometry with periodic boundary conditions, a linearly increasing velocity field with v_{max} = 1 × 10^{3} km s^{1} and line scattering ϵ_{line} = 10^{2}. Solid: without the treatment of the velocity field, dashed: with the treatment of the velocity field. This plot shows the influence of the velocity field on the line. 

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3.2. 3D Cartesian coordinates with and without periodic boundary conditions
In Fig. 2 a test calculation of the 3D Cartesian code with periodic boundary conditions in a (n_{x},n_{y},n_{z}) = (157 × 157 × 157) = 3.869.893 voxel grid with (θ_{c},φ_{c}) = (64,64) is shown (computing time: ca. 6h on 2048 CPUs)^{1}. The difference between the calculation with and without velocity field is clearly visible. Similar results can be obtained in the Cartesian mode without periodic boundary conditions, the spectra are not shown here.
3.3. 3D hydrostructure
To test the new method with a 3D hydrodynamical structure with an inherent arbitrary velocity field, we obtained a computed snapshot of convection in the solar atmosphere from Ludwig (Caffau et al. 2007; Wedemeyer et al. 2004), which was used as input for the code. The spectra from a few outermost voxels in a calculation ((n_{x},n_{y},n_{z}) = (140 × 150 × 140) = 2.940.000, (θ_{c},φ_{c}) = (64,64), computing time: ca. 11h on 1024 CPUs^{1}) with and without velocity field is shown in Fig. 3. The plot show that the use of velocity fields in such calculations is mandatory.
Fig. 3 Spectra from selected voxels on top of the 3D hydrodynamical Cartesian atmosphere to show the influence of the inherent velocity field on the line, the calculations include line scattering (ϵ_{line} = 10^{2}). Solid: without velocity field, dashed: with the inherent velocity field. 

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Fig. 4 Plot to illustrate the problem of a poor solid angle discretization. The plus signs show the profile in the line center of a static atmosphere. The asterisks and the diamonds show a poor/medium solid angle discretization, the triangles good solid angle discretization in the Eulerian moving atmosphere where the anisotropic Eulerian profile has good coverage. See text for a more detailed explanation. 

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Fig. 5 Example of a calculation with a linearly increasing velocity field with v_{max} = 1 × 10^{4} km s^{1}. Solid: spectra from all outermost voxels in the 3D spherical grid, dashed: spectra from the 1D code. The Lorentz boost drives the continuum up as v gets closer to c. 

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4. Limitations of the Eulerian formalisms
4.1. Solid angle points
In static line transfer problems it is necessary that the profile of the line is covered by the discretized wavelength grid used in the calculation, as the profile does only depend on the wavelength Φ = Φ(λ). In Eulerian moving atmospheres the profile depends on Eq. (7) and therefore also on the solid angle discretization.
In Fig. 4 the profile in the (observer’s frame) line center is plotted: the plus signs show the profile in the static case, as it is not solid angle depend it is everywhere 1. The asterisks show the anisotropic profile of a poor quality, the diamonds of a medium quality solid angle discretization in the moving Eulerian atmosphere: the profile in the line center is not hit at all, this causes a wiggly or even no spectral line. The triangles show a good quality solid angle discretization, the anisotropic profile in the Eulerian moving atmosphere hits the line center and the profile is well covered.
Various test show that a solid angle resolution of (θ_{c},φ_{c}) = (64,64) is sufficient for velocity fields up to v_{max} = 10^{3} km s^{1}.
4.2. Relativistic velocities
The formulation of the Eulerian method in the observers frame is inherently nonrelativistic, which leads to differences between the 1D Lagrangian code and the new method presented here when the velocity field is greater then about 5 × 10^{3} km s^{1}. When the velocity is getting close to the speed of light, the Lorentz boost drives the continuum of the radiation field higher, what is clearly visible in Fig. 5. As v gets closer to c this effect increases, the error in the Eulerian solutions increases rapidly.
Various tests show that the agreement between the welltested Lagrangian 1D and the Eulerian 3D code is excellent with velocity fields up to 1 × 10^{3} km s^{1}, this is enough to do 3D radiative transfer in convection or global circulation models. We have extended the method described in Knop et al. (2009) into our 3D code, which then allows exact, full relativistic radiative transfer in 3D (Chen et al. 2007, Baron et al., in prep.)
5. Conclusion
With our new Eulerian method it is now possible to do 3D radiative transfer in nonrelativistic, arbitrary velocity fields in spherical, Cartesian, and cylindrical (while not described in detail, the method is also implemented in this part of the code) coordinates. The memory footprint and the computing time of the new algorithm in the twolevelatom setup presented here is negligible compared to the general requirements of the 3D code. In multilevel applications the time needed to calculate the opacity for every solid angle must be considered. The velocity field limitations must also be kept in mind when using the method.
Acknowledgments
Some of the calculations presented here were performed at the Höchstleistungs Rechenzentrum Nord (HLRN); at the Hamburger Sternwarte Apple G5 and Delta Opteron clusters financially supported by the DFG and the State of Hamburg; and at the National Energy Research Supercomputer Center (NERSC), which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DEAC0376SF00098. We thank all these institutions for a generous allocation of computer time. AS thanks the Research Training Group GrK 1351 of the German Research Foundation for funding. This work was supported in part by NSF grant AST0707704 and by US DOE Award Number DEFG0207ER41517.
References
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All Figures
Fig. 1 Comparison of the Eulerian 3D and the Lagrangian 1D code with a linear increasing velocity field with v_{max} = 1 × 10^{3} km s^{1} and scattering ϵ_{line} = 10^{2}. Solid: spectra from all outermost voxels in the 3D spherical coordinate grid, dashed: spectrum from the 1D code. 

Open with DEXTER  
In the text 
Fig. 2 Spectra from all outermost voxels in the 3D Cartesian geometry with periodic boundary conditions, a linearly increasing velocity field with v_{max} = 1 × 10^{3} km s^{1} and line scattering ϵ_{line} = 10^{2}. Solid: without the treatment of the velocity field, dashed: with the treatment of the velocity field. This plot shows the influence of the velocity field on the line. 

Open with DEXTER  
In the text 
Fig. 3 Spectra from selected voxels on top of the 3D hydrodynamical Cartesian atmosphere to show the influence of the inherent velocity field on the line, the calculations include line scattering (ϵ_{line} = 10^{2}). Solid: without velocity field, dashed: with the inherent velocity field. 

Open with DEXTER  
In the text 
Fig. 4 Plot to illustrate the problem of a poor solid angle discretization. The plus signs show the profile in the line center of a static atmosphere. The asterisks and the diamonds show a poor/medium solid angle discretization, the triangles good solid angle discretization in the Eulerian moving atmosphere where the anisotropic Eulerian profile has good coverage. See text for a more detailed explanation. 

Open with DEXTER  
In the text 
Fig. 5 Example of a calculation with a linearly increasing velocity field with v_{max} = 1 × 10^{4} km s^{1}. Solid: spectra from all outermost voxels in the 3D spherical grid, dashed: spectra from the 1D code. The Lorentz boost drives the continuum up as v gets closer to c. 

Open with DEXTER  
In the text 
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