simulate_dataset

gammapy.cube.simulate_dataset(skymodel, geom, pointing, irfs, livetime=<Quantity 1. h>, offset=<Quantity 1. deg>, max_radius=<Quantity 0.8 deg>, random_state='random-seed')

Simulate a 3D dataset.

Simulate a source defined with a sky model for a given pointing, geometry and irfs for a given exposure time. This will return a dataset object which includes the counts cube, the exposure cube, the psf cube, the background model and the sky model.

Parameters

skymodelSkyModel

Background model map

geomWcsGeom

Geometry object for the observation

pointingSkyCoord

Pointing position

irfsdict

Irfs used for simulating the observation

livetimeQuantity

Livetime exposure of the simulated observation

offsetQuantity

Offset from the center of the pointing position. This is used for the PSF and Edisp estimation

max_radiusAngle

The maximum radius of the PSF kernel.

random_state: {int, ‘random-seed’, ‘global-rng’, `~numpy.random.RandomState`}

Defines random number generator initialisation.

Returns

datasetMapDataset

A dataset of the simulated observation.