parsnip.plot_sne_space

parsnip.plot_sne_space(light_curve, model, name, min_wave=10000.0, max_wave=0.0, time_diff=0.0, min_time=-10000.0, max_time=100000.0, source=None, kernel=5, flux_scale=0.5, label_wave=9000.0, label_offset=0.2, figsize=(5, 6))

Compare a ParSNIP spectrum prediction to a real spectrum from sne.space

Parameters:

  • light_curve (Table) – Light curve

  • model (ParsnipModel) – ParSNIP Model to use for the prediction

  • name (str) – Name of the light curve on sne.space

  • min_wave (float, optional) – Ignore any spectra that don’t have data bluer than this wavelength, by default 10000.

  • max_wave (float, optional) – Ignore any spectra that don’t have data redder than this wavelength, by default 0.

  • time_diff (float, optional) – Minimum time between spectra, by default 0.

  • min_time (float, optional) – Ignore any spectra before this time, by default -10000.

  • max_time (float, optional) – Ignore any spectra after this time, by default 100000.

  • source (str, optional) – Ignore any spectra not from this source, by default None

  • kernel (int, optional) – Smooth the spectra by a median filter kernel of this size, by default 5

  • flux_scale (float, optional) – Scale the flux by this amount, by default 0.5

  • label_wave (float, optional) – Show labels with the times of each spectrum at this wavelength, by default 9000.

  • label_offset (float, optional) – Y offset to use for the labels, by default 0.2

  • figsize (tuple, optional) – Figure size, by default (5, 6)