yarara_map

yarara_map

yarara_map(self, sub_dico='matching_diff', continuum='linear', planet=False, modulo=None, unit=1.0, wave_min=4000, wave_max=4300, time_min=None, time_max=None, index='index', ratio=False, reference='median', berv_shift=False, rv_shift=False, new=True, Plot=True, substract_map=[], add_map=[], correction_factor=True, p_noise=1 / np.inf)[source]

Display the time-series spectra with proxies and its correlation

Parameters

  • sub_dico (The sub_dictionnary used to select the continuum) –

  • continuum (The continuum to select (either linear or cubic)) –

  • wave_min (Minimum x axis limit) –

  • wave_max (Maximum x axis limit) –

  • time_min (Minimum y axis limit) –

  • time_max (Maximum y axis limit) –

  • index ('index' or 'time' if 'time', display the time-series with blank color if no spectra at specific time (need roughly equidistant time-series spectra)) –

  • zoom (int-type, to improve the resolution of the 2D plot) –

  • int-type (smooth_map =) –

  • convolution (smooth the 2D plot by gaussian 2D) –

  • reference ('median', 'snr' or 'master' to select the reference normalised spectrum usedin the difference) –

  • berv_shift (keyword column to use to move in terrestrial rest-frame, km/s speed) –

  • rv_shift (keyword column to use to shift spectra, m/s speed) –

  • cmap (cmap of the 2D plot) –

  • low_cmap (vmin cmap colorbar) –

  • high_cmap (vmax cmap colorbar) –

Return type

Tuple[ndarray, ndarray, ndarray]

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