.. _sphx_glr_tutorials_details:

Detailed explanation
====================

The following tutorials demonstrate different how to use Gammapy tools
across the full analysis chain, from data loading to model comparison.



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    <div class="sphx-glr-thumbcontainer" tooltip="gammapy.irf contains classes for handling Instrument Response Functions typically stored as multi-dimensional tables. Gammapy is currently supporting the functions defined in the GADF format (see https://gamma-astro-data-formats.readthedocs.io/en/v0.3/irfs/full_enclosure/index.html). The detailed list can be found in the IRF user guide &lt;/user-guide/irf/index&gt;.">

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  .. image:: /tutorials/details/images/thumb/sphx_glr_irfs_thumb.png
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  :ref:`sphx_glr_tutorials_details_irfs.py`

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      <div class="sphx-glr-thumbnail-title">Using Gammapy IRFs</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="Clustering observations into specific groups.">

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  .. image:: /tutorials/details/images/thumb/sphx_glr_observation_clustering_thumb.png
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  :ref:`sphx_glr_tutorials_details_observation_clustering.py`

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      <div class="sphx-glr-thumbnail-title">Observational clustering</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="This tutorial explains how to make such a plot, that is the distribution of event counts as a function of the squared angular distance, to a test position.">

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  .. image:: /tutorials/details/images/thumb/sphx_glr_theta_square_plot_thumb.png
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  :ref:`sphx_glr_tutorials_details_theta_square_plot.py`

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      <div class="sphx-glr-thumbnail-title">Make a theta-square plot</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="Data reduction: from observations to binned datasets">

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  .. image:: /tutorials/details/images/thumb/sphx_glr_makers_thumb.png
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  :ref:`sphx_glr_tutorials_details_makers.py`

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      <div class="sphx-glr-thumbnail-title">Makers - Data reduction</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="Learn how to work with datasets">

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  .. image:: /tutorials/details/images/thumb/sphx_glr_datasets_thumb.png
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  :ref:`sphx_glr_tutorials_details_datasets.py`

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      <div class="sphx-glr-thumbnail-title">Datasets - Reduced data, IRFs, models</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="A thorough tutorial to work with WCS maps.">

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  .. image:: /tutorials/details/images/thumb/sphx_glr_maps_thumb.png
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  :ref:`sphx_glr_tutorials_details_maps.py`

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      <div class="sphx-glr-thumbnail-title">Maps</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="Create and apply masks maps.">

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  .. image:: /tutorials/details/images/thumb/sphx_glr_mask_maps_thumb.png
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  :ref:`sphx_glr_tutorials_details_mask_maps.py`

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      <div class="sphx-glr-thumbnail-title">Mask maps</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="Access and explore thew most common gamma-ray source catalogs.">

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  .. image:: /tutorials/details/images/thumb/sphx_glr_catalog_thumb.png
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  :ref:`sphx_glr_tutorials_details_catalog.py`

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      <div class="sphx-glr-thumbnail-title">Source catalogs</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="The sub-package modeling contains all the functionality related to modeling and fitting data. This includes spectral, spatial and temporal model classes, as well as the fit and parameter API.The models follow a naming scheme which contains the category as a suffix to the class name. An overview of all the available models can be found in the model-gallery.">

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  .. image:: /tutorials/details/images/thumb/sphx_glr_models_thumb.png
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  :ref:`sphx_glr_tutorials_details_models.py`

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      <div class="sphx-glr-thumbnail-title">Models</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="Learn how you can include prior knowledge into the fitting by setting priors on single parameters.">

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  .. image:: /tutorials/details/images/thumb/sphx_glr_priors_thumb.png
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  :ref:`sphx_glr_tutorials_details_priors.py`

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      <div class="sphx-glr-thumbnail-title">Priors</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="Multiple datasets and models interaction in Gammapy.">

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  .. image:: /tutorials/details/images/thumb/sphx_glr_model_management_thumb.png
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  :ref:`sphx_glr_tutorials_details_model_management.py`

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      <div class="sphx-glr-thumbnail-title">Modelling</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="Learn how the model, dataset and fit Gammapy classes work together in a detailed modeling and fitting use-case.">

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  .. image:: /tutorials/details/images/thumb/sphx_glr_fitting_thumb.png
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  :ref:`sphx_glr_tutorials_details_fitting.py`

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      <div class="sphx-glr-thumbnail-title">Fitting</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="A demonstration of a Bayesian analysis using the nested sampling technique.">

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  .. image:: /tutorials/details/images/thumb/sphx_glr_nested_sampling_Crab_thumb.png
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  :ref:`sphx_glr_tutorials_details_nested_sampling_Crab.py`

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      <div class="sphx-glr-thumbnail-title">Bayesian analysis with nested sampling</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="This tutorial provides an overview of the Estimator API. All estimators live in the gammapy.estimators sub-module, offering a range of algorithms and classes for high-level flux and significance estimation. This is accomplished through a common functionality allowing the estimation of flux points, light curves, flux maps and profiles via a common API.">

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  .. image:: /tutorials/details/images/thumb/sphx_glr_estimators_thumb.png
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  :ref:`sphx_glr_tutorials_details_estimators.py`

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      <div class="sphx-glr-thumbnail-title">Estimators</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="Explore how to deal with upper limits on parameters.">

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  .. image:: /tutorials/details/images/thumb/sphx_glr_parameter_ul_thumb.png
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  :ref:`sphx_glr_tutorials_details_parameter_ul.py`

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      <div class="sphx-glr-thumbnail-title">Constraining parameter limits</div>
    </div>


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    </div>


.. toctree::
   :hidden:

   /tutorials/details/irfs
   /tutorials/details/observation_clustering
   /tutorials/details/theta_square_plot
   /tutorials/details/makers
   /tutorials/details/datasets
   /tutorials/details/maps
   /tutorials/details/mask_maps
   /tutorials/details/catalog
   /tutorials/details/models
   /tutorials/details/priors
   /tutorials/details/model_management
   /tutorials/details/fitting
   /tutorials/details/nested_sampling_Crab
   /tutorials/details/estimators
   /tutorials/details/parameter_ul