extinction-coefficient 1.8

A package to inquire empirical extinction or reddening coefficients from far-ultraviolet (UV) to the mid-infrared (IR)

extinction_coefficient

extinction_coefficient is a astronomy Python package to provide empirical extinction or reddening coefficients from far-ultraviolet (UV) to the mid-infrared (IR). (Zhang & Yuan, 2022)

For a given band a, the extinction coefficient is defined as E(a)/E(B-V), i.e. extinction in a band relative to E(B−V); Similarly, for a given color a-b, the reddening coefficient is defined as E(a-b)/E(B-V).

Our coefficients are mostly valid in the extinction range of 0-0.5 mag and the temperature range of 4000-10000 K. But note that the temperature range varies depending on the band. No extrapolation for out-of-range input values, but rather assignment of boundary values.

Available photometric surveys and passband names

• GALEX passbands: "FUV", "NUV";
• Pan-STARRS 1 passbands: "g", "r", "i", "z", "y";
• SDSS passbands: "u'", "g'", "r'", "i'", "z'";
• Gaia DR3 passbands: "BP", "G", "RP";
• 2MASS passbands: "J", "H", "Ks";
• WISE passbands: "W1", "W2", "W3", "W4".

How to Install

Using pip

# from PyPI (recommmand)
pip install extinction_coefficient

# from the master trunk on the repository, considered developmental code
pip install git+https://github.com/vnohhf/extinction_coeffcient.git

From source

extinction_coefficient can be installed from the source code after downloading it from the git repo (https://github.com/vnohhf/extinction_coeffcient/):

python setup.py install

Quick Start

To get a single value extinction or reddening coefficients obtained when temperature and extinction are not considered, just put mode = 'simple':

from extinction_coefficient import extinction_coefficient
extinction_coefficient('g', mode='simple')
extinction_coefficient('BP-RP', mode='simple')
extinction_coefficient(["BP-RP","FUV-g"], mode='simple')

To obtain extinction or reddening coefficients for (a group of) specific Teff and E(B-V):

Band = 'BP'
EBV  = 0.3
Teff = [5000, 6000]
extinction_coefficient(Band,EBV=EBV,Teff=Teff)

Band = np.array(["BP-RP","FUV-g","y-H","u'-W2"])
EBV  = [0.1, 0.1, 0.3, 0.5]
Teff = 5500
extinction_coefficient(Band,EBV=EBV,Teff=Teff)

If Teff is unknown in advance, the observed (BP-RP) color can be entered as a substitute. This program first makes a rough reddening correction to the observed (BP-RP) and then converts them to Teff using an empirical polynomial relationship between intrinsic color (BP-RP)0 and Teff. This allows the exact reddening factor to be obtained using Teff, and then the procedure iterates once.

Band = ["BP-RP","FUV-g","i'-z'"]
EBV  = [0.1, 0.3, 0.5]
BP_RP = np.array([0.3, 0.6, 1.2])
extinction_coefficient(Band,EBV=EBV,BP_RP=BP_RP)

API

extinction_coefficient(Band,EBV=None,BP_RP=None,Teff=None,mode='func')

Args:
    Band: str or array-like, shape (n, )
            The passband or color index. If color index are entered, '-' need to be used to connect 
            the two passband name strings (e.g. "BP-RP"). There support GALEX passbands: "FUV", "NUV"; 
            Pan-STARRS 1 passbands: "g", "r", "i", "z", "y"; 
            SDSS passbands: "u'", "g'", "r'", "i'", "z'";
            Gaia DR3 passbands: "BP", "G", "RP";
            2MASS passbands: "J", "H", "Ks";
            WISE passbands: "W1", "W2", "W3", "W4";
            
    EBV: float or array-like, shape (n, ), optional
            The E(B-V), in magnitude.
    
    BP_RP: float or array-like, shape (n, ), optional
            The observed (BP-RP) color index.
    
    Teff: float or array-like, shape (n, ), optional
            The effective temperature, in Kelvins.
            
    mode: {'func', 'simple'} (default: 'func')
            The calculate mode of extinction or reddening coefficients. Possible values:
            'func': interpolation results on functions of Teff and E(B-V).
            'simple': single value coefficients obtained when temperature and extinction are not considered.

Returns: float or array-like, shape (n, )
    Empirical extinction or reddening coefficients. Has the largest shape as the input obj:`Band`, obj:`EBV`, 
    obj:`BP_RP`, or obj:`Teff`.