I did some line profiling today and found that the numpy convolve function is several factors faster than the currently implemented pyfftw covolution function. I have replaced the function in the local balmercontinuumcombined log_conv function but should be performed throughout (aka in host galaxy and Fe template and eventually in spectrum object or utils function)
replacement should be done as followed
flux_conv = fftwconvolve_1d(flux_rebin, kernel)
to
flux_conv = np.convolve(flux_rebin, kernel,mode='same')
I did some line profiling today and found that the numpy convolve function is several factors faster than the currently implemented pyfftw covolution function. I have replaced the function in the local balmercontinuumcombined log_conv function but should be performed throughout (aka in host galaxy and Fe template and eventually in spectrum object or utils function)
replacement should be done as followed
flux_conv = fftwconvolve_1d(flux_rebin, kernel)toflux_conv = np.convolve(flux_rebin, kernel,mode='same')