Spectrum

spectrum.spectrl2(apparent_zenith, aoi, ...)	Estimate spectral irradiance using the Bird Simple Spectral Model (SPECTRL2).
spectrum.get_example_spectral_response([...])	Generate a generic smooth spectral response (SR) for tests and experiments.
spectrum.get_reference_spectra([...])	Read a standard spectrum specified by standard, optionally interpolated to the specified wavelength(s).
spectrum.calc_spectral_mismatch_field(sr, e_sun)	Calculate spectral mismatch between a test device and broadband reference device under specified solar spectral irradiance conditions.
spectrum.spectral_factor_caballero(...[, ...])	Estimate a technology-specific spectral mismatch modifier from airmass, aerosol optical depth, and atmospheric precipitable water, using the Caballero model.
spectrum.spectral_factor_firstsolar(...[, ...])	Spectral mismatch modifier based on precipitable water and absolute (pressure-adjusted) air mass.
spectrum.spectral_factor_sapm(...)	Calculates the spectral mismatch factor, \(f_1\), using the Sandia Array Performance Model approach.
spectrum.spectral_factor_pvspec(...[, ...])	Estimate a technology-specific spectral mismatch modifier from absolute airmass and clear sky index using the PVSPEC model.
spectrum.spectral_factor_jrc(airmass, ...[, ...])	Estimate a technology-specific spectral mismatch modifier from airmass and clear sky index using the JRC model.
spectrum.sr_to_qe(sr[, wavelength, normalize])	Convert spectral responsivities to quantum efficiencies.
spectrum.qe_to_sr(qe[, wavelength, normalize])	Convert quantum efficiencies to spectral responsivities.
spectrum.average_photon_energy(spectra)	Calculate the average photon energy of one or more spectral irradiance distributions.