Download Hyperion Manual Release 0.9.7 Thomas Robitaille

Hyperion Manual, Release 0.9.7
Physics
This group describes the input quantities such as the density and optionally the specific energy of the dust. In all
cases where a density array should be specified, you may also give a specific_energy array with the same
dimensions - this can be used as the initial temperature, or can be used as the temperature to use for the images/SED
if the number of temperature iterations is set to zero.
Cartesian The Physics group should contain a 4-d dataset array named density giving the density in c.g.s in each
cell. The dimensions of the array should be (n_dust, n_z, n_y, n_x).
Spherical Polar The Physics group should contain a 4-d dataset array named density giving the density in c.g.s
in each cell. The dimensions of the array should be (n_dust, n_p, n_t, n_r).
Cartesian The Physics group should contain a 4-d dataset array named density giving the density in c.g.s in each
cell. The dimensions of the array should be (n_dust, n_p, n_z, n_w).
AMR The Physics group should contain a structure similar to that used to represent the geometry. The nlevels
and ngrids attributes are not needed, only the nested level_* and grid_* groups. Each grid_* group should then
contain a 4-d dataset array named density giving the density in c.g.s in each cell. The dimensions of the array
should be (n_dust, n_z, n_y, n_x).
Octree The Physics group should contain a 1-d dataset array named density giving the density in c.g.s in each
cell. Each cell in this array should match a cell in the refined array discussed in Geometry.
Sources
This should contain one group per source. The name of the groups is not important, and the Python code uses names
such as source_00001. Each sub-group will contain certain attributes and datasets depending on the source type, as
described below.
Common attributes
All sources should have the following attributes:
• type: the type of the source, given as a string. This can be point (for point sources), sphere (for spherical
sources), map (for diffuse sources), extern_sph (for external spherical illumination), extern_box (for
external illumination from a box), or plane_parallel (for a plane-parallel beam).
• luminosity: the luminosity of the source, as a floating point value, in c.g.s
• peeloff: whether to include the source when computing images with peeling-off, as a string that should be
either yes or no.
• spectrum: the type of spectrum to use, as a string. This can be either:
– spectrum, to indicate that a spectrum has been numerically specified. In this case, the group representing the source should also contain a tabular dataset with two columns: nu, the frequency in Hz, and
fnu, the monochromatic flux per frequency (the exact units are not important, because the spectrum is
renormalized).
– temperature, to specify that a temperature has been specified. In this case, the temperature should be
given as an attribute temperature, as a floating-point value.
4.1. Advanced topics
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