iact_estimator.plots

Plotting functions.

Module Contents

Functions

plot_spectrum(config, energy_bounds, model, ...[, ...])	Plot a spectrum from a model.
plot_sed(config, sigmas, sig_comb, source_name, ...[, ...])	Plot the Spectral Energy distribution with significances.
plot_transit(config, source_name, target_source, ...)	Plot the Spectral Energy distribution with significances.
plot_altitude_airmass(config, source_name, ...[, ax, ...])
plot_exposure(data)
plot_rates(performance_data[, title, ax])

iact_estimator.plots.plot_spectrum(config, energy_bounds, model, source_name, plotting_options, savefig=True, output_path=None, **kwargs)

Plot a spectrum from a model.

Parameters:

energy_bounds~astropy.units.Quantity

Plot energy bounds.

model~gammapy.modeling.models.SpectralModel

Spectral model to plot.

output_pathstr or pathlib.Path

Path to the output directory where to save the plot.

source_namestr

Name of the source.

plotting_optionsdict

Dictionary of options related to plotting from the configuration file.

**kwargs

Keyword arguments for ~matplotlib.pyplot.plot.

iact_estimator.plots.plot_sed(config, sigmas, sig_comb, source_name, assumed_spectrum, en, sed, dsed, detected, savefig=True, output_path=None, annotation_options={'rotation': 45, 'xytext': (10, 10), 'size': 15, 'horizontalalignment': 'left', 'verticalalignment': 'bottom'})

Plot the Spectral Energy distribution with significances.

Parameters:

configdict

Loaded configuration

sigmasarray-like

sig_combfloat

Combined significance

source_namestr

assumed_spectrum~gammapy.modeling.models.SpectralModel

en

sed

dsed

detected

savefigbool

output_pathstr or ~pathlib.Path

annotation_optionsdict

Options for matplotlib.axes.Axes.annotate.

Notes

Spectral points following the assumed spectrum are shown. Their error bars reflect the performance of the instrument for such a source.

Significance for each bin is given. Bins without detection have gray numbers.

At the top of the plot a simple number using information from all the shown bins is given to evaluate if the source can be detected, roughly if

\[\dfrac{ \sum sigma_{i} } { \sqrt{N} } \gtrsim 5\]

iact_estimator.plots.plot_transit(config, source_name, target_source, observer, time, merge_profiles=True, plot_crab=True, style_kwargs=None, savefig=True, output_path=None)

Plot the Spectral Energy distribution with significances.

Parameters:

configdict

Loaded configuration

output_pathstr or ~pathlib.Path

source_namestr

target_sourceastroplan.Target

observerastroplan.Observer

time~astropy.time.Time

Datetime of the planned observation

merge_profilesbool, default=True

If True plot the combined horizon profile from both telescopes.

crabbool, default=True

If True plot the Crab together with the target source for comparison.

style_kwargsdict, default=None

Dictionary of keywords passed into ~matplotlib.pyplot.scatter to set plotting styles.

iact_estimator.plots.plot_altitude_airmass(config, source_name, target_source, observer, time, ax=None, savefig=True, output_path=None, **kwargs)

iact_estimator.plots.plot_exposure(data)

iact_estimator.plots.plot_rates(performance_data, title=None, ax=None)