pysme.atmosphere package

pysme.atmosphere package#

Subpackages#

Submodules#

pysme.atmosphere.atmosphere module#

Handles reading and interpolation of atmopshere (grid) data

exception pysme.atmosphere.atmosphere.AtmosphereError[source]#

Bases: RuntimeError

Something went wrong with the atmosphere interpolation

class pysme.atmosphere.atmosphere.Atmosphere(*args, **kwargs)[source]#

Bases: Collection

Atmosphere structure contains all information to describe the solar atmosphere i.e. temperature etc in the different layers as well as stellar parameters and abundances

property abund#

elemental abundances

Type:: Abund

property citation_info#

citation for this atmosphere

Type:: str

property depth#

flag that determines whether to use RHOX or TAU for calculations

Type:: str

property dtype#

property geom#

the geometry of the atmopshere model

Type:: str

property height#

height of the spherical model

Type:: array

property interp#

flag that determines whether to use RHOX or TAU for interpolation

Type:: str

property logg#

surface gravity in log10(cgs)

Type:: float

property lonh#

Type:: float

property method#

whether the data source is a grid or a fixed atmosphere

Type:: str

property monh#

metallicity

Type:: float

property names#

property ndep#

property opflag#

opacity flags

Type:: array of size (20,)

property radius#

radius of the spherical model

Type:: float

property rho#

density profile

Type:: array

property rhox#

mass column density

Type:: array

property source#

datafile name of this data, or atmosphere grid/file

Type:: str

property tau#

continuum optical depth

Type:: array

property teff#

effective temperature in Kelvin

Type:: float

property temp#

temperature profile in Kelvin

Type:: array

property vturb#

turbulence velocity in km/s

Type:: float

property wlstd#

wavelength standard deviation

Type:: float

property xna#

number density of atoms in 1/cm**3

Type:: array

property xne#

number density of electrons in 1/cm**3

Type:: array

class pysme.atmosphere.atmosphere.AtmosphereGrid(natmo, npoints, **kwargs)[source]#

Bases: recarray

A grid of atmospheres, used for the interpolation of model atmospheres. Each entry represents one atmosphere model.

get(teff, logg, monh)[source]#

classmethod load(filename)[source]#: Load the atmosphere grid data from disk

save(filename)[source]#: Save the Atmopshere grid to a file using a numpy save format

property abund_format#

format of the Abundance field, as defined by the Abund class

Type:: str

property citation_info#

Citation text to cite in your papers

Type:: str

property depth#

flag that determines whether to use RHOX or TAU for calculations

Type:: str

property geom#

the geometry of the atmopshere model

Type:: str

property interp#

flag that determines whether to use RHOX or TAU for interpolation

Type:: str

property method#

whether the data source is a grid or a fixed atmosphere

Type:: str

property ndep#

property source#

datafile name of this data

Type:: str

pysme.atmosphere.interpolation module#

pysme.atmosphere.krzfile module#

class pysme.atmosphere.krzfile.KrzFile(filename, source=None)[source]#

Bases: Atmosphere

Read .krz atmosphere files

get_mu_from_abund()[source]#

load(filename)[source]#

Load data from krz files. The code will automatically judge the file source of ATLAS or MARCS.

Parameters:: filename (str) – name of the file to load

pysme.atmosphere.savfile module#

class pysme.atmosphere.savfile.SavFile(filename, source=None, lfs=None)[source]#

Bases: AtmosphereGrid

IDL savefile atmosphere grid