Adapt energy binning in lightcurve tutorial
" min=0.7 * u.TeV, max=10 * u.TeV, nbins=5\n",
")\n",
"conf_3d.datasets.geom.axes.energy_true = dict(\n",
- " min=0.3 * u.TeV, max=20 * u.TeV, nbins=10\n",
+ " min=0.3 * u.TeV, max=20 * u.TeV, nbins=20\n",
")"
]
},
"\n",
"# Finally we define the energy binning for the spectra\n",
"conf_1d.datasets.geom.axes.energy = dict(\n",
- " min=0.7 * u.TeV, max=10 * u.TeV, nbins=20\n",
+ " min=0.7 * u.TeV, max=10 * u.TeV, nbins=5\n",
")\n",
"conf_1d.datasets.geom.axes.energy_true = dict(\n",
- " min=0.3 * u.TeV, max=20 * u.TeV, nbins=40\n",
+ " min=0.3 * u.TeV, max=20 * u.TeV, nbins=20\n",
")"
]
},
"lc_1d = lc_maker_1d.run(analysis_1d.datasets)"
]
},
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "lc_1d.table"
+ ]
+ },
{
"cell_type": "markdown",
"metadata": {},
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.7.3"
+ "version": "3.7.0"
}
},
"nbformat": 4,
