Library of stellar spectra¶

Stellar spectra based on Kurucz atmospheric models and spectral synthesis with the stellar spectral synthesis program ‘spectrum’ by R.O. Gray. Please acknowledge both when using the spectra, but note that neither is responsible for this library.

The files can also be accessed manually here.

Available library:

‘A’ : solar metallicity, 3800-11000 A, Teff = 3500-20000 K, logg = 0-5, sampling 0.01 A

Demonstration of usage¶

class PyAstronomy.pyasl.resBased.spectralLib.SpectralLib(lib='A', refreshDescr=False, dlv=True)¶

Access spectral library/ies

Parameters

libstring, optional: Library key
refreshDescrboolean, optional: Re-download library description file (default is False)
dlvboolean, optional: Verbose download, default is True

Methods

`getREADME`()	Get content of README file
`listDescription`()	List descriptions of available libraries
`listInventory`()	Print content of inventory
`read1dFitsSpec`(fn)	Read 1d spectral model
`readMuFits`(fn)	Read specific intensity file
`refreshDescription`()	(Re-)Download file description.txt
`refreshInventory`()	Re-download inventory.txt file
`requestModel`(teff, logg[, mh, nex])	Get filename of model spectrum in the library

getREADME()¶

Get content of README file

Returns

listInventory()¶

Print content of inventory

The inventory is stored in the attribute inv (dictionary)

read1dFitsSpec(fn)¶

Read 1d spectral model

Returns

readMuFits(fn)¶

Read specific intensity file

refreshDescription()¶

(Re-)Download file description.txt

This file contains an identifier and a brief description of the available spectral libraries.

requestModel(teff, logg, mh=0.0, nex='diskint')¶

Get filename of model spectrum in the library

Model files are downloaded on demand.

Parameters

Returns

Spectrumnumpy npz file: The spectrum in the form of the context of a numpy npz file