.. _time: ******************** time - Time analysis ******************** .. currentmodule:: gammapy.time Introduction ============ `gammapy.time` contains classes and methods for time-based analysis, e.g. for AGN, binaries or pulsars studies. The main classes are `~gammapy.time.LightCurve`, which is a container for light curves, and `~gammapy.time.LightCurveEstimator`, which extracts a light curve from a list of datasets. A number of functions to test for variability and periodicity are available in `~gammapy.time.variability` and `~gammapy.time.periodicity`. Finally, `gammapy.utils.time` contains low-level helper functions for time conversions. Variability and periodicity tests ================================= A few utility functions to perform timing tests are available in `~gammapy.time`. `~gammapy.time.compute_chisq` performs a chisquare test for variable source flux:: >>> from gammapy.time import chisquare >>> print(compute_chisq(lc['FLUX'])) `~gammapy.time.compute_fvar` calculates the fractional variance excess:: >>> from gammapy.time import fvar >>> print(compute_fvar(lc['FLUX'], lc['FLUX_ERR'])) `~gammapy.time` also provides methods for period detection in time series, i.e. light curves of :math:`\gamma`-ray sources. `~gammapy.time.robust_periodogram` performs a periodogram analysis where the unevenly sampled time series is contaminated by outliers, i.e. due to the source's high states. This is demonstrated on the :ref:`period` page. Tutorials ========= The main tutorial demonstrates how to extract light curves from 1D and 3D datasets: * `Light Curve tutorial <../notebooks/light_curve.html>`__ Light curve extraction on small time bins (i.e. smaller than the observation scale) for flares is demonstrated in the following tutorial: * `Flare tutorial <../notebooks/light_curve_flare.html>`__ Using `gammapy.time` ==================== .. toctree:: :maxdepth: 1 period Reference/API ============= .. automodapi:: gammapy.time :no-inheritance-diagram: :include-all-objects: