\n",
"\n",
"**This is a fixed-text formatted version of a Jupyter notebook**\n",
"\n",
"- Try online [![Binder](https://static.mybinder.org/badge.svg)](https://mybinder.org/v2/gh/gammapy/gammapy-webpage/v0.17?urlpath=lab/tree/analysis_3d.ipynb)\n",
"- You can contribute with your own notebooks in this\n",
"[GitHub repository](https://github.com/gammapy/gammapy/tree/master/tutorials).\n",
"- **Source files:**\n",
"[analysis_3d.ipynb](../_static/notebooks/analysis_3d.ipynb) |\n",
"[analysis_3d.py](../_static/notebooks/analysis_3d.py)\n",
"
\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# 3D analysis\n",
"\n",
"This tutorial does a 3D map based analsis on the galactic center, using simulated observations from the CTA-1DC. We will use the high level interface for the data reduction, and then do a detailed modelling. This will be done in two different ways:\n",
"\n",
"- stacking all the maps together and fitting the stacked maps\n",
"- handling all the observations separately and doing a joint fitting on all the maps"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"%matplotlib inline\n",
"import matplotlib.pyplot as plt\n",
"import astropy.units as u\n",
"from pathlib import Path\n",
"from regions import CircleSkyRegion\n",
"from gammapy.analysis import Analysis, AnalysisConfig\n",
"from gammapy.modeling.models import (\n",
" SkyModel,\n",
" ExpCutoffPowerLawSpectralModel,\n",
" PointSpatialModel,\n",
")\n",
"from gammapy.modeling import Fit\n",
"from gammapy.maps import Map"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Analysis configuration"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In this section we select observations and define the analysis geometries, irrespective of joint/stacked analysis. For configuration of the analysis, we will programatically build a config file from scratch."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"AnalysisConfig\n",
"\n",
" general:\n",
" log: {level: info, filename: null, filemode: null, format: null, datefmt: null}\n",
" outdir: .\n",
" observations:\n",
" datastore: $GAMMAPY_DATA/hess-dl3-dr1\n",
" obs_ids: []\n",
" obs_file: null\n",
" obs_cone: {frame: null, lon: null, lat: null, radius: null}\n",
" obs_time: {start: null, stop: null}\n",
" datasets:\n",
" type: 1d\n",
" stack: true\n",
" geom:\n",
" wcs:\n",
" skydir: {frame: null, lon: null, lat: null}\n",
" binsize: 0.02 deg\n",
" fov: {width: 5.0 deg, height: 5.0 deg}\n",
" binsize_irf: 0.2 deg\n",
" selection: {offset_max: 2.5 deg}\n",
" axes:\n",
" energy: {min: 0.1 TeV, max: 10.0 TeV, nbins: 30}\n",
" energy_true: {min: 0.1 TeV, max: 10.0 TeV, nbins: 30}\n",
" map_selection: [counts, exposure, background, psf, edisp]\n",
" background:\n",
" method: null\n",
" exclusion: null\n",
" parameters: {}\n",
" safe_mask:\n",
" methods: [aeff-default]\n",
" parameters: {}\n",
" on_region: {frame: null, lon: null, lat: null, radius: null}\n",
" containment_correction: true\n",
" fit:\n",
" fit_range: {min: 0.1 TeV, max: 10.0 TeV}\n",
" flux_points:\n",
" energy: {min: 0.1 TeV, max: 10.0 TeV, nbins: 30}\n",
" source: source\n",
" parameters: {}\n",
" \n"
]
}
],
"source": [
"config = AnalysisConfig()\n",
"# The config file is now empty, with only a few defaults specified.\n",
"print(config)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"# Selecting the observations\n",
"config.observations.datastore = \"$GAMMAPY_DATA/cta-1dc/index/gps/\"\n",
"config.observations.obs_ids = [110380, 111140, 111159]"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"# Defining a reference geometry for the reduced datasets\n",
"\n",
"config.datasets.type = \"3d\" # Analysis type is 3D\n",
"\n",
"config.datasets.geom.wcs.skydir = {\n",
" \"lon\": \"0 deg\",\n",
" \"lat\": \"0 deg\",\n",
" \"frame\": \"galactic\",\n",
"} # The WCS geometry - centered on the galactic center\n",
"config.datasets.geom.wcs.fov = {\"width\": \"10 deg\", \"height\": \"8 deg\"}\n",
"config.datasets.geom.wcs.binsize = \"0.02 deg\"\n",
"\n",
"# The FoV radius to use for cutouts\n",
"config.datasets.geom.selection.offset_max = 3.5 * u.deg\n",
"config.datasets.safe_mask.methods = [\"aeff-default\", \"offset-max\"]\n",
"\n",
"# We now fix the energy axis for the counts map - (the reconstructed energy binning)\n",
"config.datasets.geom.axes.energy.min = \"0.1 TeV\"\n",
"config.datasets.geom.axes.energy.max = \"10 TeV\"\n",
"config.datasets.geom.axes.energy.nbins = 10\n",
"\n",
"# We now fix the energy axis for the IRF maps (exposure, etc) - (the true enery binning)\n",
"config.datasets.geom.axes.energy_true.min = \"0.08 TeV\"\n",
"config.datasets.geom.axes.energy_true.max = \"12 TeV\"\n",
"config.datasets.geom.axes.energy_true.nbins = 14"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"AnalysisConfig\n",
"\n",
" general:\n",
" log: {level: info, filename: null, filemode: null, format: null, datefmt: null}\n",
" outdir: .\n",
" observations:\n",
" datastore: $GAMMAPY_DATA/cta-1dc/index/gps\n",
" obs_ids: [110380, 111140, 111159]\n",
" obs_file: null\n",
" obs_cone: {frame: null, lon: null, lat: null, radius: null}\n",
" obs_time: {start: null, stop: null}\n",
" datasets:\n",
" type: 3d\n",
" stack: true\n",
" geom:\n",
" wcs:\n",
" skydir: {frame: galactic, lon: 0.0 deg, lat: 0.0 deg}\n",
" binsize: 0.02 deg\n",
" fov: {width: 10.0 deg, height: 8.0 deg}\n",
" binsize_irf: 0.2 deg\n",
" selection: {offset_max: 3.5 deg}\n",
" axes:\n",
" energy: {min: 0.1 TeV, max: 10.0 TeV, nbins: 10}\n",
" energy_true: {min: 0.08 TeV, max: 12.0 TeV, nbins: 14}\n",
" map_selection: [counts, exposure, background, psf, edisp]\n",
" background:\n",
" method: null\n",
" exclusion: null\n",
" parameters: {}\n",
" safe_mask:\n",
" methods: [aeff-default, offset-max]\n",
" parameters: {}\n",
" on_region: {frame: null, lon: null, lat: null, radius: null}\n",
" containment_correction: true\n",
" fit:\n",
" fit_range: {min: 0.1 TeV, max: 10.0 TeV}\n",
" flux_points:\n",
" energy: {min: 0.1 TeV, max: 10.0 TeV, nbins: 30}\n",
" source: source\n",
" parameters: {}\n",
" \n"
]
}
],
"source": [
"print(config)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Configuration for stacked and joint analysis\n",
"\n",
"This is done just by specfiying the flag on `config.datasets.stack`. Since the internal machinery will work differently for the two cases, we will write it as two config files and save it to disc in YAML format for future reference. "
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"config_stack = config.copy(deep=True)\n",
"config_stack.datasets.stack = True\n",
"\n",
"config_joint = config.copy(deep=True)\n",
"config_joint.datasets.stack = False"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"# To prevent unnecessary cluttering, we write it in a separate folder.\n",
"path = Path(\"analysis_3d\")\n",
"path.mkdir(exist_ok=True)\n",
"config_joint.write(path=path / \"config_joint.yaml\", overwrite=True)\n",
"config_stack.write(path=path / \"config_stack.yaml\", overwrite=True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Stacked analysis\n",
"\n",
"### Data reduction\n",
"\n",
"We first show the steps for the stacked analysis and then repeat the same for the joint analysis later\n"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"# Reading yaml file:\n",
"config_stacked = AnalysisConfig.read(path=path / \"config_stack.yaml\")"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Setting logging config: {'level': 'INFO', 'filename': None, 'filemode': None, 'format': None, 'datefmt': None}\n"
]
}
],
"source": [
"analysis_stacked = Analysis(config_stacked)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Fetching observations.\n",
"Number of selected observations: 3\n",
"Creating geometry.\n",
"Creating datasets.\n",
"No background maker set for 3d analysis. Check configuration.\n",
"Processing observation 110380\n",
"No thresholds defined for obs Observation\n",
"\n",
"\tobs id : 110380 \n",
" \ttstart : 59235.50\n",
"\ttstop : 59235.52\n",
"\tduration : 1800.00 s\n",
"\tpointing (icrs) : 267.7 deg, -29.6 deg\n",
"\n",
"\tdeadtime fraction : 2.0%\n",
"\n",
"Processing observation 111140\n",
"No thresholds defined for obs Observation\n",
"\n",
"\tobs id : 111140 \n",
" \ttstart : 59275.50\n",
"\ttstop : 59275.52\n",
"\tduration : 1800.00 s\n",
"\tpointing (icrs) : 264.2 deg, -29.5 deg\n",
"\n",
"\tdeadtime fraction : 2.0%\n",
"\n",
"Processing observation 111159\n",
"No thresholds defined for obs Observation\n",
"\n",
"\tobs id : 111159 \n",
" \ttstart : 59276.50\n",
"\ttstop : 59276.52\n",
"\tduration : 1800.00 s\n",
"\tpointing (icrs) : 266.0 deg, -27.0 deg\n",
"\n",
"\tdeadtime fraction : 2.0%\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPU times: user 7.66 s, sys: 2.27 s, total: 9.93 s\n",
"Wall time: 10.3 s\n"
]
}
],
"source": [
"%%time\n",
"# select observations:\n",
"analysis_stacked.get_observations()\n",
"\n",
"# run data reduction\n",
"analysis_stacked.get_datasets()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We have one final dataset, which you can print and explore"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"MapDataset\n",
"----------\n",
"\n",
" Name : stacked \n",
"\n",
" Total counts : 121241 \n",
" Total predicted counts : 108043.52\n",
" Total background counts : 108043.52\n",
"\n",
" Exposure min : 6.28e+07 m2 s\n",
" Exposure max : 1.90e+10 m2 s\n",
"\n",
" Number of total bins : 2000000 \n",
" Number of fit bins : 1411180 \n",
"\n",
" Fit statistic type : cash\n",
" Fit statistic value (-2 log(L)) : 625436.39\n",
"\n",
" Number of models : 1 \n",
" Number of parameters : 3\n",
" Number of free parameters : 1\n",
"\n",
" Component 0: BackgroundModel\n",
" \n",
" Name : stacked-bkg\n",
" Datasets names : ['stacked']\n",
" Parameters:\n",
" norm : 1.000 \n",
" tilt (frozen) : 0.000 \n",
" reference (frozen) : 1.000 TeV \n",
" \n",
" \n"
]
}
],
"source": [
"dataset_stacked = analysis_stacked.datasets[\"stacked\"]\n",
"print(dataset_stacked)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# You can also get an excess image with a few lines of code:\n",
"counts = dataset_stacked.counts.sum_over_axes()\n",
"background = dataset_stacked.background_model.map.sum_over_axes()\n",
"excess = counts - background\n",
"excess.smooth(\"0.06 deg\").plot(stretch=\"sqrt\", add_cbar=True);"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Modeling and fitting\n",
"\n",
"Now comes the interesting part of the analysis - choosing appropriate models for our source and fitting them.\n",
"\n",
"We choose a point source model with an exponential cutoff power-law spectrum.\n",
"\n",
"To select a certain energy range for the fit we can create a fit mask:"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [],
"source": [
"coords = dataset_stacked.counts.geom.get_coord()\n",
"mask_energy = coords[\"energy\"] > 0.3 * u.TeV\n",
"dataset_stacked.mask_fit = Map.from_geom(\n",
" geom=dataset_stacked.counts.geom, data=mask_energy\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [],
"source": [
"spatial_model = PointSpatialModel(\n",
" lon_0=\"-0.05 deg\", lat_0=\"-0.05 deg\", frame=\"galactic\"\n",
")\n",
"spectral_model = ExpCutoffPowerLawSpectralModel(\n",
" index=2.3,\n",
" amplitude=2.8e-12 * u.Unit(\"cm-2 s-1 TeV-1\"),\n",
" reference=1.0 * u.TeV,\n",
" lambda_=0.02 / u.TeV,\n",
")\n",
"\n",
"model = SkyModel(\n",
" spatial_model=spatial_model,\n",
" spectral_model=spectral_model,\n",
" name=\"gc-source\",\n",
")\n",
"\n",
"dataset_stacked.models.append(model)\n",
"dataset_stacked.background_model.norm.value = 1.3"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"------------------------------------------------------------------\n",
"| FCN = 2.802E+05 | Ncalls=177 (177 total) |\n",
"| EDM = 9.39E-05 (Goal: 1E-05) | up = 1.0 |\n",
"------------------------------------------------------------------\n",
"| Valid Min. | Valid Param. | Above EDM | Reached call limit |\n",
"------------------------------------------------------------------\n",
"| True | True | False | False |\n",
"------------------------------------------------------------------\n",
"| Hesse failed | Has cov. | Accurate | Pos. def. | Forced |\n",
"------------------------------------------------------------------\n",
"| False | True | True | True | False |\n",
"------------------------------------------------------------------\n",
"CPU times: user 9.19 s, sys: 2.41 s, total: 11.6 s\n",
"Wall time: 11.7 s\n"
]
}
],
"source": [
"%%time\n",
"fit = Fit([dataset_stacked])\n",
"result = fit.run(optimize_opts={\"print_level\": 1})"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"Table length=10\n",
"
\n",
"
name
value
unit
min
max
frozen
error
\n",
"
str9
float64
str14
float64
float64
bool
float64
\n",
"
norm
1.248e+00
0.000e+00
nan
False
6.448e-03
\n",
"
tilt
0.000e+00
nan
nan
True
0.000e+00
\n",
"
reference
1.000e+00
TeV
nan
nan
True
0.000e+00
\n",
"
index
2.240e+00
nan
nan
False
1.146e-01
\n",
"
amplitude
2.909e-12
cm-2 s-1 TeV-1
nan
nan
False
3.341e-13
\n",
"
reference
1.000e+00
TeV
nan
nan
True
0.000e+00
\n",
"
lambda_
5.311e-02
TeV-1
nan
nan
False
6.112e-02
\n",
"
alpha
1.000e+00
nan
nan
True
0.000e+00
\n",
"
lon_0
-5.166e-02
deg
nan
nan
False
2.338e-03
\n",
"
lat_0
-5.244e-02
deg
-9.000e+01
9.000e+01
False
2.244e-03
\n",
"
"
],
"text/plain": [
"
\n",
" name value unit min max frozen error \n",
" str9 float64 str14 float64 float64 bool float64 \n",
"--------- ---------- -------------- ---------- --------- ------ ---------\n",
" norm 1.248e+00 0.000e+00 nan False 6.448e-03\n",
" tilt 0.000e+00 nan nan True 0.000e+00\n",
"reference 1.000e+00 TeV nan nan True 0.000e+00\n",
" index 2.240e+00 nan nan False 1.146e-01\n",
"amplitude 2.909e-12 cm-2 s-1 TeV-1 nan nan False 3.341e-13\n",
"reference 1.000e+00 TeV nan nan True 0.000e+00\n",
" lambda_ 5.311e-02 TeV-1 nan nan False 6.112e-02\n",
" alpha 1.000e+00 nan nan True 0.000e+00\n",
" lon_0 -5.166e-02 deg nan nan False 2.338e-03\n",
" lat_0 -5.244e-02 deg -9.000e+01 9.000e+01 False 2.244e-03"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"result.parameters.to_table()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Check model fit\n",
"\n",
"We check the model fit by computing and plotting a residual image:"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(, None)"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"dataset_stacked.plot_residuals(method=\"diff/sqrt(model)\", vmin=-1, vmax=1)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We can also plot the best fit spectrum. For that need to extract the covariance of the spectral parameters."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Joint analysis\n",
"\n",
"In this section, we perform a joint analysis of the same data. Of course, joint fitting is considerably heavier than stacked one, and should always be handled with care. For brevity, we only show the analysis for a point source fitting without re-adding a diffuse component again. \n",
"\n",
"### Data reduction"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Setting logging config: {'level': 'INFO', 'filename': None, 'filemode': None, 'format': None, 'datefmt': None}\n",
"Fetching observations.\n",
"Number of selected observations: 3\n",
"Creating geometry.\n",
"Creating datasets.\n",
"No background maker set for 3d analysis. Check configuration.\n",
"Processing observation 110380\n",
"No thresholds defined for obs Observation\n",
"\n",
"\tobs id : 110380 \n",
" \ttstart : 59235.50\n",
"\ttstop : 59235.52\n",
"\tduration : 1800.00 s\n",
"\tpointing (icrs) : 267.7 deg, -29.6 deg\n",
"\n",
"\tdeadtime fraction : 2.0%\n",
"\n",
"Processing observation 111140\n",
"No thresholds defined for obs Observation\n",
"\n",
"\tobs id : 111140 \n",
" \ttstart : 59275.50\n",
"\ttstop : 59275.52\n",
"\tduration : 1800.00 s\n",
"\tpointing (icrs) : 264.2 deg, -29.5 deg\n",
"\n",
"\tdeadtime fraction : 2.0%\n",
"\n",
"Processing observation 111159\n",
"No thresholds defined for obs Observation\n",
"\n",
"\tobs id : 111159 \n",
" \ttstart : 59276.50\n",
"\ttstop : 59276.52\n",
"\tduration : 1800.00 s\n",
"\tpointing (icrs) : 266.0 deg, -27.0 deg\n",
"\n",
"\tdeadtime fraction : 2.0%\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPU times: user 6.94 s, sys: 1.97 s, total: 8.91 s\n",
"Wall time: 9.01 s\n"
]
}
],
"source": [
"%%time\n",
"\n",
"# Read the yaml file from disk\n",
"config_joint = AnalysisConfig.read(path=path / \"config_joint.yaml\")\n",
"analysis_joint = Analysis(config_joint)\n",
"\n",
"# select observations:\n",
"analysis_joint.get_observations()\n",
"\n",
"# run data reduction\n",
"analysis_joint.get_datasets()"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Datasets\n",
"--------\n",
"idx=0, id='0x1180b8c18', name='-fbzIRNK'\n",
"idx=1, id='0x115ccf550', name='tk5xvVAM'\n",
"idx=2, id='0x115fc0080', name='1cpoqF7u'\n",
"\n"
]
}
],
"source": [
"# You can see there are 3 datasets now\n",
"print(analysis_joint.datasets)"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"MapDataset\n",
"----------\n",
"\n",
" Name : -fbzIRNK \n",
"\n",
" Total counts : 47736 \n",
" Total predicted counts : 42655.01\n",
" Total background counts : 42655.01\n",
"\n",
" Exposure min : 6.28e+07 m2 s\n",
" Exposure max : 6.68e+09 m2 s\n",
"\n",
" Number of total bins : 1085000 \n",
" Number of fit bins : 693940 \n",
"\n",
" Fit statistic type : cash\n",
" Fit statistic value (-2 log(L)) : 250423.04\n",
"\n",
" Number of models : 1 \n",
" Number of parameters : 3\n",
" Number of free parameters : 1\n",
"\n",
" Component 0: BackgroundModel\n",
" \n",
" Name : -fbzIRNK-bkg\n",
" Datasets names : ['-fbzIRNK']\n",
" Parameters:\n",
" norm : 1.000 \n",
" tilt (frozen) : 0.000 \n",
" reference (frozen) : 1.000 TeV \n",
" \n",
" \n"
]
}
],
"source": [
"# You can access each one by name or by index, eg:\n",
"print(analysis_joint.datasets[0])"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [],
"source": [
"# Add the model on each of the datasets\n",
"model_joint = model.copy(name=\"source-joint\")\n",
"for dataset in analysis_joint.datasets:\n",
" dataset.models.append(model_joint)\n",
" dataset.background_model.norm.value = 1.1"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPU times: user 27 s, sys: 5.37 s, total: 32.4 s\n",
"Wall time: 32.7 s\n"
]
}
],
"source": [
"%%time\n",
"fit_joint = Fit(analysis_joint.datasets)\n",
"result_joint = fit_joint.run()"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"OptimizeResult\n",
"\n",
"\tbackend : minuit\n",
"\tmethod : minuit\n",
"\tsuccess : True\n",
"\tmessage : Optimization terminated successfully.\n",
"\tnfev : 177\n",
"\ttotal stat : 280219.84\n",
"\n"
]
}
],
"source": [
"print(result)"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"Table length=16\n",
"
\n",
"
name
value
unit
min
max
frozen
error
\n",
"
str9
float64
str14
float64
float64
bool
float64
\n",
"
norm
1.117e+00
0.000e+00
nan
False
5.577e-03
\n",
"
tilt
0.000e+00
nan
nan
True
0.000e+00
\n",
"
reference
1.000e+00
TeV
nan
nan
True
0.000e+00
\n",
"
index
2.290e+00
nan
nan
False
7.647e-02
\n",
"
amplitude
2.885e-12
cm-2 s-1 TeV-1
nan
nan
False
3.116e-13
\n",
"
reference
1.000e+00
TeV
nan
nan
True
0.000e+00
\n",
"
lambda_
3.500e-02
TeV-1
nan
nan
False
5.131e-02
\n",
"
alpha
1.000e+00
nan
nan
True
0.000e+00
\n",
"
lon_0
-5.244e-02
deg
nan
nan
False
2.225e-03
\n",
"
lat_0
-5.247e-02
deg
-9.000e+01
9.000e+01
False
2.144e-03
\n",
"
norm
1.119e+00
0.000e+00
nan
False
5.580e-03
\n",
"
tilt
0.000e+00
nan
nan
True
0.000e+00
\n",
"
reference
1.000e+00
TeV
nan
nan
True
0.000e+00
\n",
"
norm
1.111e+00
0.000e+00
nan
False
5.561e-03
\n",
"
tilt
0.000e+00
nan
nan
True
0.000e+00
\n",
"
reference
1.000e+00
TeV
nan
nan
True
0.000e+00
\n",
"
"
],
"text/plain": [
"
\n",
" name value unit min max frozen error \n",
" str9 float64 str14 float64 float64 bool float64 \n",
"--------- ---------- -------------- ---------- --------- ------ ---------\n",
" norm 1.117e+00 0.000e+00 nan False 5.577e-03\n",
" tilt 0.000e+00 nan nan True 0.000e+00\n",
"reference 1.000e+00 TeV nan nan True 0.000e+00\n",
" index 2.290e+00 nan nan False 7.647e-02\n",
"amplitude 2.885e-12 cm-2 s-1 TeV-1 nan nan False 3.116e-13\n",
"reference 1.000e+00 TeV nan nan True 0.000e+00\n",
" lambda_ 3.500e-02 TeV-1 nan nan False 5.131e-02\n",
" alpha 1.000e+00 nan nan True 0.000e+00\n",
" lon_0 -5.244e-02 deg nan nan False 2.225e-03\n",
" lat_0 -5.247e-02 deg -9.000e+01 9.000e+01 False 2.144e-03\n",
" norm 1.119e+00 0.000e+00 nan False 5.580e-03\n",
" tilt 0.000e+00 nan nan True 0.000e+00\n",
"reference 1.000e+00 TeV nan nan True 0.000e+00\n",
" norm 1.111e+00 0.000e+00 nan False 5.561e-03\n",
" tilt 0.000e+00 nan nan True 0.000e+00\n",
"reference 1.000e+00 TeV nan nan True 0.000e+00"
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"fit_joint.datasets.parameters.to_table()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The information which parameter belongs to which dataset is not listed explicitly in the table (yet), but the order of parameters is conserved. You can always access the underlying object tree as well to get specific parameter values:"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1.1172921144380115\n",
"1.1185249877971581\n",
"1.1111161210830067\n"
]
}
],
"source": [
"for dataset in analysis_joint.datasets:\n",
" print(dataset.background_model.norm.value)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Residuals\n",
"\n",
"Since we have multiple datasets, we can either look at a stacked residual map, or the residuals for each dataset. Each `gammapy.cube.MapDataset` object is equipped with a method called `gammapy.cube.MapDataset.plot_residuals()`, which displays the spatial and spectral residuals (computed as *counts-model*) for the dataset. Optionally, these can be normalized as *(counts-model)/model* or *(counts-model)/sqrt(model)*, by passing the parameter `norm='model` or `norm=sqrt_model`."
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [],
"source": [
"# To see the spectral residuals, we have to define a region for the spectral extraction\n",
"region = CircleSkyRegion(spatial_model.position, radius=0.15 * u.deg)"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [
{
"data": {
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\n",
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