sccala.asynphot.synphot
Classes
Functions
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Calculate effective wavelength from spectral flux. |
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Calculate Vega magnitudes from spectral flux. If spectral uncertainties are |
Module Contents
- sccala.asynphot.synphot.calculate_vega_zp(filter)
- sccala.asynphot.synphot.calculate_lambda_eff(spec_wav, spec_flux, filter)
Calculate effective wavelength from spectral flux.
- Parameters:
spec_wav – np.array of floats wavelength values of spectrum
spec_flux – np.array of floats spectral flux
filter – BaseFilter filter object on which the magnitude is to be calculated
- sccala.asynphot.synphot.calculate_vega_magnitude(spec_wav, spec_flux, filter, spec_err=None, error_method='analytic', error_n=100)
Calculate Vega magnitudes from spectral flux. If spectral uncertainties are supplied, a magnitude uncertainty will be calculated by propagating the uncertainty through the numerical integration (Simpson’s rule).
- Parameters:
spec_wav – np.array of floats wavelength values of spectrum
spec_flux – np.array of floats spectral flux
filter – BaseFilter filter object on which the magnitude is to be calculated
spec_err – np.array of floats or None spectral uncertainty. Default=None
error_method – str method with which error is propagated. Default=’analytic’
error_n – int number of iteration for frequentist error propagation. Default=100
- Return vega_magnitude:
np.array of floats calculated vega_magnitude
- Return vega_magnitude_error:
np.array of floats, optional calculated magnitude uncertaint
- class sccala.asynphot.synphot.BaseFilterCurve(wav, trans, interpolation_kind='linear', filter_id=None)
Bases:
object- classmethod load_filter(filter_id=None, interpolation_kind='linear')
- wav
- trans
- interpolation_object
- filter_id = None
- interpolate(wavelength)
- calculate_vega_magnitude(spec_wav, spec_flux, spec_err=None)
- calculate_lambda_eff(spec_wav, spec_flux)
- class sccala.asynphot.synphot.FilterCurve(wav, trans, interpolation_kind='linear', filter_id=None)
Bases:
BaseFilterCurve- __repr__()