.. only:: html .. note:: :class: sphx-glr-download-link-note Click :ref:`here ` to download the full example code .. rst-class:: sphx-glr-example-title .. _sphx_glr_modeling_gallery_temporal_plot_gaussian_temporal.py: .. _gaussian-temporal-model: Gaussian Temporal Model ======================= This model parametrises a gaussian time model. .. math:: F(t) = exp(-0.5* \frac{ (t - t_{ref})^2 } { \sigma^2 }) Example plot ------------ Here is an example plot of the model: .. code-block:: default from astropy import units as u from astropy.time import Time import matplotlib.pyplot as plt YAML representation ------------------- Here is an example YAML file using the model: .. code-block:: default from gammapy.modeling.models import ( GaussianTemporalModel, Models, PowerLawSpectralModel, SkyModel, ) sigma = "3 h" t_ref = Time("2020-10-01") time_range = [t_ref - 0.5 * u.d, t_ref + 0.5 * u.d] gaussian_model = GaussianTemporalModel(t_ref=t_ref.mjd * u.d, sigma=sigma) gaussian_model.plot(time_range) plt.grid(which="both") model = SkyModel( spectral_model=PowerLawSpectralModel(), temporal_model=gaussian_model, name="gaissian_model", ) models = Models([model]) print(models.to_yaml()) .. image:: /modeling/gallery/temporal/images/sphx_glr_plot_gaussian_temporal_001.png :alt: plot gaussian temporal :class: sphx-glr-single-img .. rst-class:: sphx-glr-script-out Out: .. code-block:: none components: - name: gaissian_model type: SkyModel spectral: type: PowerLawSpectralModel parameters: - name: index value: 2.0 - name: amplitude value: 1.0e-12 unit: cm-2 s-1 TeV-1 - name: reference value: 1.0 unit: TeV frozen: true temporal: type: GaussianTemporalModel parameters: - name: t_ref value: 59123.0 unit: d - name: sigma value: 0.125 unit: d .. _sphx_glr_download_modeling_gallery_temporal_plot_gaussian_temporal.py: .. only :: html .. container:: sphx-glr-footer :class: sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: plot_gaussian_temporal.py ` .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: plot_gaussian_temporal.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_