warmup

[Juan BC]

• Pasar todos ipynb y el README a una carpeta draft
• nirdust.py <<< archivo con codigo relevante
• Agregar antes que nada el .gitignore
• test_nirdust.py
• Agregar LICENCE
• tox.ini py38, style, coverage (al 80%)
• Readme: Que operaciones vas a querer en nirdust,

class NirdustSpectrum(Spectrum1d):
    ...

spectre = NirdustSpectrum(t=...)

spectre.predict(...)

[Bruno Sánchez]

I think that the API could do stuff like this:

from astropy.io import ascii
from nirdust import NirdustSpectrum

data = ascii.read('spectra.dat')

model = NirdustSpectrum(T=12, z=0.4, fitter='LevMarq')
model.fit(data['wave'], data['flux'], data['fluxErr'])
print(model.params['T'], model.params['z'])

fluxes = model.sample(wave=np.range(3000, 12000))