\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/v0.19?urlpath=lab/tree/tutorials/analysis/3D/cta_data_analysis.ipynb)\n",
"- You may download all the notebooks in the documentation as a\n",
"[tar file](../../../_downloads/notebooks-0.19.tar).\n",
"- **Source files:**\n",
"[cta_data_analysis.ipynb](../../../_static/notebooks/cta_data_analysis.ipynb) |\n",
"[cta_data_analysis.py](../../../_static/notebooks/cta_data_analysis.py)\n",
"
\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Basic image exploration and fitting\n",
"\n",
"## Introduction\n",
"\n",
"**This notebook shows an example how to make a sky image and spectrum for simulated CTA data with Gammapy.**\n",
"\n",
"The dataset we will use is three observation runs on the Galactic center. This is a tiny (and thus quick to process and play with and learn) subset of the simulated CTA dataset that was produced for the first data challenge in August 2017.\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Setup\n",
"\n",
"As usual, we'll start with some setup ..."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"execution": {
"iopub.execute_input": "2021-11-22T21:04:25.309639Z",
"iopub.status.busy": "2021-11-22T21:04:25.307783Z",
"iopub.status.idle": "2021-11-22T21:04:25.474412Z",
"shell.execute_reply": "2021-11-22T21:04:25.474613Z"
}
},
"outputs": [],
"source": [
"%matplotlib inline\n",
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"execution": {
"iopub.execute_input": "2021-11-22T21:04:25.476671Z",
"iopub.status.busy": "2021-11-22T21:04:25.476340Z",
"iopub.status.idle": "2021-11-22T21:04:27.852496Z",
"shell.execute_reply": "2021-11-22T21:04:27.852858Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r\n",
"Gammapy package:\r\n",
"\r\n",
"\tversion : 0.19 \r\n",
"\tpath : /Users/adonath/github/adonath/gammapy/gammapy \r\n",
"\r\n",
"\r\n",
"Other packages:\r\n",
"\r\n",
"\tnumpy : 1.21.4 \r\n",
"\tscipy : 1.7.1 \r\n",
"\tastropy : 4.3.1 \r\n",
"\tregions : 0.5 \r\n",
"\tclick : 8.0.3 \r\n",
"\tyaml : 6.0 \r\n",
"\tIPython : 7.29.0 \r\n",
"\tjupyterlab : 3.2.2 \r\n",
"\tmatplotlib : 3.4.3 \r\n",
"\tpandas : 1.3.4 \r\n",
"\thealpy : 1.15.0 \r\n",
"\timinuit : 2.8.4 \r\n",
"\tsherpa : 4.14.0 \r\n",
"\tnaima : 0.10.0 \r\n",
"\temcee : 3.1.1 \r\n",
"\tcorner : 2.2.1 \r\n",
"\r\n"
]
}
],
"source": [
"!gammapy info --no-envvar --no-system"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"execution": {
"iopub.execute_input": "2021-11-22T21:04:27.858960Z",
"iopub.status.busy": "2021-11-22T21:04:27.858430Z",
"iopub.status.idle": "2021-11-22T21:04:28.401830Z",
"shell.execute_reply": "2021-11-22T21:04:28.402028Z"
}
},
"outputs": [],
"source": [
"import numpy as np\n",
"import astropy.units as u\n",
"from astropy.coordinates import SkyCoord\n",
"from regions import CircleSkyRegion\n",
"from gammapy.modeling import Fit\n",
"from gammapy.data import DataStore\n",
"from gammapy.datasets import (\n",
" Datasets,\n",
" FluxPointsDataset,\n",
" SpectrumDataset,\n",
" MapDataset,\n",
")\n",
"from gammapy.modeling.models import (\n",
" PowerLawSpectralModel,\n",
" SkyModel,\n",
" GaussianSpatialModel,\n",
")\n",
"from gammapy.maps import MapAxis, WcsGeom, RegionGeom\n",
"from gammapy.makers import (\n",
" MapDatasetMaker,\n",
" SafeMaskMaker,\n",
" SpectrumDatasetMaker,\n",
" ReflectedRegionsBackgroundMaker,\n",
")\n",
"from gammapy.estimators import TSMapEstimator, FluxPointsEstimator\n",
"from gammapy.estimators.utils import find_peaks\n",
"from gammapy.visualization import plot_spectrum_datasets_off_regions"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"execution": {
"iopub.execute_input": "2021-11-22T21:04:28.404067Z",
"iopub.status.busy": "2021-11-22T21:04:28.403775Z",
"iopub.status.idle": "2021-11-22T21:04:28.404939Z",
"shell.execute_reply": "2021-11-22T21:04:28.405122Z"
}
},
"outputs": [],
"source": [
"# Configure the logger, so that the spectral analysis\n",
"# isn't so chatty about what it's doing.\n",
"import logging\n",
"\n",
"logging.basicConfig()\n",
"log = logging.getLogger(\"gammapy.spectrum\")\n",
"log.setLevel(logging.ERROR)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Select observations\n",
"\n",
"A Gammapy analysis usually starts by creating a `~gammapy.data.DataStore` and selecting observations.\n",
"\n",
"This is shown in detail in the other notebook, here we just pick three observations near the galactic center."
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"execution": {
"iopub.execute_input": "2021-11-22T21:04:28.407036Z",
"iopub.status.busy": "2021-11-22T21:04:28.406725Z",
"iopub.status.idle": "2021-11-22T21:04:28.419734Z",
"shell.execute_reply": "2021-11-22T21:04:28.419920Z"
}
},
"outputs": [],
"source": [
"data_store = DataStore.from_dir(\"$GAMMAPY_DATA/cta-1dc/index/gps\")"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"execution": {
"iopub.execute_input": "2021-11-22T21:04:28.421635Z",
"iopub.status.busy": "2021-11-22T21:04:28.421353Z",
"iopub.status.idle": "2021-11-22T21:04:28.422462Z",
"shell.execute_reply": "2021-11-22T21:04:28.422650Z"
}
},
"outputs": [],
"source": [
"# Just as a reminder: this is how to select observations\n",
"# from astropy.coordinates import SkyCoord\n",
"# table = data_store.obs_table\n",
"# pos_obs = SkyCoord(table['GLON_PNT'], table['GLAT_PNT'], frame='galactic', unit='deg')\n",
"# pos_target = SkyCoord(0, 0, frame='galactic', unit='deg')\n",
"# offset = pos_target.separation(pos_obs).deg\n",
"# mask = (1 < offset) & (offset < 2)\n",
"# table = table[mask]\n",
"# table.show_in_browser(jsviewer=True)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"execution": {
"iopub.execute_input": "2021-11-22T21:04:28.424917Z",
"iopub.status.busy": "2021-11-22T21:04:28.424633Z",
"iopub.status.idle": "2021-11-22T21:04:28.427562Z",
"shell.execute_reply": "2021-11-22T21:04:28.427862Z"
}
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"WARNING:gammapy.data.hdu_index_table:No HDU found matching: OBS_ID = 110380, HDU_TYPE = rad_max, HDU_CLASS = None\n",
"WARNING:gammapy.data.hdu_index_table:No HDU found matching: OBS_ID = 111140, HDU_TYPE = rad_max, HDU_CLASS = None\n",
"WARNING:gammapy.data.hdu_index_table:No HDU found matching: OBS_ID = 111159, HDU_TYPE = rad_max, HDU_CLASS = None\n"
]
}
],
"source": [
"obs_id = [110380, 111140, 111159]\n",
"observations = data_store.get_observations(obs_id)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"execution": {
"iopub.execute_input": "2021-11-22T21:04:28.431217Z",
"iopub.status.busy": "2021-11-22T21:04:28.430921Z",
"iopub.status.idle": "2021-11-22T21:04:28.432660Z",
"shell.execute_reply": "2021-11-22T21:04:28.432835Z"
}
},
"outputs": [
{
"data": {
"text/html": [
"
ObservationTable length=3\n",
"
\n",
"
OBS_ID
GLON_PNT
GLAT_PNT
LIVETIME
\n",
"
deg
deg
s
\n",
"
int64
float64
float64
float64
\n",
"
110380
359.9999912037958
-1.299995937905366
1764.0
\n",
"
111140
358.4999833830074
1.3000020211954284
1764.0
\n",
"
111159
1.5000056568267741
1.299940468335294
1764.0
\n",
"
"
],
"text/plain": [
"\n",
"OBS_ID GLON_PNT GLAT_PNT LIVETIME\n",
" deg deg s \n",
"int64 float64 float64 float64 \n",
"------ ------------------ ------------------ --------\n",
"110380 359.9999912037958 -1.299995937905366 1764.0\n",
"111140 358.4999833830074 1.3000020211954284 1764.0\n",
"111159 1.5000056568267741 1.299940468335294 1764.0"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"obs_cols = [\"OBS_ID\", \"GLON_PNT\", \"GLAT_PNT\", \"LIVETIME\"]\n",
"data_store.obs_table.select_obs_id(obs_id)[obs_cols]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Make sky images\n",
"\n",
"### Define map geometry\n",
"\n",
"Select the target position and define an ON region for the spectral analysis"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"execution": {
"iopub.execute_input": "2021-11-22T21:04:28.436808Z",
"iopub.status.busy": "2021-11-22T21:04:28.436476Z",
"iopub.status.idle": "2021-11-22T21:04:28.437886Z",
"shell.execute_reply": "2021-11-22T21:04:28.438063Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"WcsGeom\n",
"\n",
"\taxes : ['lon', 'lat', 'energy']\n",
"\tshape : (500, 400, 9)\n",
"\tndim : 3\n",
"\tframe : galactic\n",
"\tprojection : CAR\n",
"\tcenter : 0.0 deg, 0.0 deg\n",
"\twidth : 10.0 deg x 8.0 deg\n",
"\twcs ref : 0.0 deg, 0.0 deg"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"axis = MapAxis.from_edges(\n",
" np.logspace(-1.0, 1.0, 10), unit=\"TeV\", name=\"energy\", interp=\"log\"\n",
")\n",
"geom = WcsGeom.create(\n",
" skydir=(0, 0), npix=(500, 400), binsz=0.02, frame=\"galactic\", axes=[axis]\n",
")\n",
"geom"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Compute images"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"execution": {
"iopub.execute_input": "2021-11-22T21:04:28.441729Z",
"iopub.status.busy": "2021-11-22T21:04:28.441441Z",
"iopub.status.idle": "2021-11-22T21:04:29.916584Z",
"shell.execute_reply": "2021-11-22T21:04:29.916770Z"
}
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"WARNING:gammapy.irf.background:Invalid unit found in background table! Assuming (s-1 MeV-1 sr-1)\n",
"WARNING:gammapy.irf.background:Invalid unit found in background table! Assuming (s-1 MeV-1 sr-1)\n",
"WARNING:gammapy.irf.background:Invalid unit found in background table! Assuming (s-1 MeV-1 sr-1)\n",
"WARNING:gammapy.irf.background:Invalid unit found in background table! Assuming (s-1 MeV-1 sr-1)\n",
"WARNING:gammapy.irf.background:Invalid unit found in background table! Assuming (s-1 MeV-1 sr-1)\n",
"WARNING:gammapy.irf.background:Invalid unit found in background table! Assuming (s-1 MeV-1 sr-1)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPU times: user 1.35 s, sys: 119 ms, total: 1.47 s\n",
"Wall time: 1.47 s\n"
]
}
],
"source": [
"%%time\n",
"stacked = MapDataset.create(geom=geom)\n",
"stacked.edisp = None\n",
"maker = MapDatasetMaker(selection=[\"counts\", \"background\", \"exposure\", \"psf\"])\n",
"maker_safe_mask = SafeMaskMaker(methods=[\"offset-max\"], offset_max=2.5 * u.deg)\n",
"\n",
"for obs in observations:\n",
" cutout = stacked.cutout(obs.pointing_radec, width=\"5 deg\")\n",
" dataset = maker.run(cutout, obs)\n",
" dataset = maker_safe_mask.run(dataset, obs)\n",
" stacked.stack(dataset)"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"execution": {
"iopub.execute_input": "2021-11-22T21:04:29.919653Z",
"iopub.status.busy": "2021-11-22T21:04:29.919363Z",
"iopub.status.idle": "2021-11-22T21:04:29.957335Z",
"shell.execute_reply": "2021-11-22T21:04:29.957498Z"
}
},
"outputs": [],
"source": [
"# The maps are cubes, with an energy axis.\n",
"# Let's also make some images:\n",
"dataset_image = stacked.to_image()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Show images\n",
"\n",
"Let's have a quick look at the images we computed ..."
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"execution": {
"iopub.execute_input": "2021-11-22T21:04:29.959443Z",
"iopub.status.busy": "2021-11-22T21:04:29.959144Z",
"iopub.status.idle": "2021-11-22T21:04:30.176648Z",
"shell.execute_reply": "2021-11-22T21:04:30.176879Z"
}
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/adonath/software/mambaforge/envs/gammapy-dev/lib/python3.9/site-packages/astropy/visualization/wcsaxes/core.py:211: MatplotlibDeprecationWarning: Passing parameters norm and vmin/vmax simultaneously is deprecated since 3.3 and will become an error two minor releases later. Please pass vmin/vmax directly to the norm when creating it.\n",
" return super().imshow(X, *args, origin=origin, **kwargs)\n"
]
},
{
"data": {
"image/png": "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\n",
"text/plain": [
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"dataset_image.counts.smooth(2).plot(vmax=5);"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"execution": {
"iopub.execute_input": "2021-11-22T21:04:30.219061Z",
"iopub.status.busy": "2021-11-22T21:04:30.218731Z",
"iopub.status.idle": "2021-11-22T21:04:30.363800Z",
"shell.execute_reply": "2021-11-22T21:04:30.363992Z"
}
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/adonath/software/mambaforge/envs/gammapy-dev/lib/python3.9/site-packages/astropy/visualization/wcsaxes/core.py:211: MatplotlibDeprecationWarning: Passing parameters norm and vmin/vmax simultaneously is deprecated since 3.3 and will become an error two minor releases later. Please pass vmin/vmax directly to the norm when creating it.\n",
" return super().imshow(X, *args, origin=origin, **kwargs)\n"
]
},
{
"data": {
"image/png": "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\n",
"text/plain": [
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"dataset_image.background.plot(vmax=5);"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"execution": {
"iopub.execute_input": "2021-11-22T21:04:30.366090Z",
"iopub.status.busy": "2021-11-22T21:04:30.365061Z",
"iopub.status.idle": "2021-11-22T21:04:30.528921Z",
"shell.execute_reply": "2021-11-22T21:04:30.529157Z"
}
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/adonath/software/mambaforge/envs/gammapy-dev/lib/python3.9/site-packages/astropy/visualization/wcsaxes/core.py:211: MatplotlibDeprecationWarning: Passing parameters norm and vmin/vmax simultaneously is deprecated since 3.3 and will become an error two minor releases later. Please pass vmin/vmax directly to the norm when creating it.\n",
" return super().imshow(X, *args, origin=origin, **kwargs)\n"
]
},
{
"data": {
"image/png": "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\n",
"text/plain": [
"