streamobs.plotting module

streamobs.plotting module#

Plotting functions.

streamobs.plotting.draw_stream(phi1, phi2)[source]#

Create 2d histogram and draw stellar distribution.

Parameters:

  • phi1 (coordinates of stars (deg))

  • phi2 (coordinates of stars (deg))

  • Returns

  • --------

  • num (output of imshow)

  • xedges (output of imshow)

  • yedges (output of imshow)

  • im (output of imshow)

streamobs.plotting.plot_healsparse_map(map)[source]#
streamobs.plotting.plot_inject(data, survey, bands=None, range=None, **kwargs)[source]#

Plot injection results showing observed vs unobserved stars.

Creates three panels: - Left: Injected stars in the survey footprint (using magnitude limit map) - Center: HR diagram using true magnitudes - Right: HR diagram using measured magnitudes with photometric errors

Parameters:

  • data (pandas.DataFrame or dict-like) – Data containing the injected stream. Must have columns: - ‘ra’, ‘dec’: Sky coordinates in degrees - ‘flag_observed’: Boolean flag for detected stars - ‘mag_<band>’: True magnitudes for each band - ‘mag_<band>_obs’: Observed magnitudes for each band

  • survey (Survey) – Survey object containing magnitude limit maps and other properties.

  • bands (list of str, optional) – Bands to use for HR diagram. Default is [‘g’, ‘r’]. Will use first two bands if more are provided.

  • **kwargs (dict) – Additional keyword arguments: - save : bool, if True saves the figure - folder : str, path to save folder (default: ../data/outputs/) - survey_name : str, survey name for filename (default: uses survey object)

Returns:

fig, ax – The matplotlib figure and axes array.

Return type:

tuple

Examples

>>> fig, ax = plot_inject(observed_data, survey, bands=['g', 'r'], save=True)
streamobs.plotting.plot_maglim(maglim_map)[source]#
streamobs.plotting.plot_stream(phi1, phi2)[source]#

Plot binned histogram of stream.

Parameters:

  • phi1 (coordinates of stars (deg))

  • phi2 (coordinates of stars (deg))

Returns:

fig, ax

Return type:

the figure and axis

streamobs.plotting.plot_stream_in_mask(ra, dec, mask, nest=False, output_folder=None)[source]#

Plot stream in mask using healpy and skyproj.

Parameters:

  • ra (coordinates of stars (deg))

  • dec (coordinates of stars (deg))

  • mask (boolean array, True for masked points)

Returns:

fig, ax

Return type:

the figure and axis