In [1]:
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
from desisim.templates import BGS
mpl.rc('font', size=14)
In [2]:
bgs_obj = BGS()
flux, wave, meta, objmeta = bgs_obj.make_templates(nmodel=1, zrange=(0.1,0.1), seed=1)
In [3]:
fig, ax = plt.subplots(1,1, figsize=(7,4))
ax.plot(wave, flux[0])
ax.set(xlabel='wavelength [$\AA$]',
ylabel='flux')
fig.tight_layout();
In [5]:
bgs_obj = BGS(add_SNeIa=True)
flux, wave, meta, objmeta, snmeta = bgs_obj.make_templates(nmodel=1, zrange=(0.1,0.1),
sne_fluxratiorange=(1,1), sne_filter='decam2014r', seed=1)
plt.plot(wave, flux[0])
Out[5]:
In [ ]: