\n",
"\n",
"**This is a fixed-text formatted version of a Jupyter notebook**\n",
"\n",
"- Try online [![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/gammapy/gammapy-webpage/v0.14?urlpath=lab/tree/hess.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",
"[hess.ipynb](../_static/notebooks/hess.ipynb) |\n",
"[hess.py](../_static/notebooks/hess.py)\n",
"
\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Analysis of H.E.S.S. DL3 data with Gammapy\n",
"\n",
"In September 2018 the [H.E.S.S.](https://www.mpi-hd.mpg.de/hfm/HESS) collaboration released a small subset of archival data in FITS format. This tutorial explains how to analyse this data with Gammapy. We will analyse four observation runs of the Crab nebula, which are part of the [H.E.S.S. first public test data release](https://www.mpi-hd.mpg.de/hfm/HESS/pages/dl3-dr1/). The data was release without corresponding background models. In [background_model.ipynb](background_model.ipynb) we show how to make a simple background model, which is also used in this tutorial. The background model is not perfect; it assumes radial symmetry and is in general derived from only a few observations, but still good enough for a reliable analysis > 1TeV.\n",
"\n",
"**Note:** The high level `Analysis` class is a new feature added in Gammapy v0.14. In the curret state it supports the standard analysis cases of a joint or stacked 3D and 1D analysis. It provides only limited access to analaysis parameters via the config file. It is expected that the format of the YAML config will be extended and change in future Gammapy versions.\n",
"\n",
"We will first show how to configure and run a stacked 3D analysis and then address the classical spectral analysis using reflected regions later. The structure of the tutorial follows a typical analysis:\n",
"\n",
"- Analysis configuration\n",
"- Observation slection\n",
"- Data reduction\n",
"- Model fitting\n",
"- Estimating flux points\n",
"\n",
"Finally we will compare the results against a reference model."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Setup"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"%matplotlib inline\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"import yaml\n",
"from pathlib import Path\n",
"from regions import CircleSkyRegion\n",
"from astropy import units as u\n",
"from astropy.coordinates import SkyCoord\n",
"from gammapy.scripts import Analysis, AnalysisConfig\n",
"from gammapy.modeling.models import create_crab_spectral_model"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Analysis configuration\n",
"\n",
"For configuration of the analysis we use the [YAML](https://en.wikipedia.org/wiki/YAML) data format. YAML is a machine readable serialisation format, that is also friendly for humans to read. In this tutorial we will write the configuration file just using Python strings, but of course the file can be created and modified with any text editor of your choice.\n",
"\n",
"Here is what the configuration for our analysis looks like:"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"config_str = \"\"\"\n",
"general:\n",
" logging:\n",
" level: INFO\n",
" outdir: .\n",
"\n",
"observations:\n",
" datastore: $GAMMAPY_DATA/hess-dl3-dr1/hess-dl3-dr3-with-background.fits.gz\n",
" filters:\n",
" - filter_type: par_value\n",
" value_param: Crab\n",
" variable: TARGET_NAME\n",
"\n",
"datasets:\n",
" dataset-type: MapDataset\n",
" stack-datasets: true\n",
" offset-max: 2.5 deg\n",
" geom:\n",
" skydir: [83.633, 22.014]\n",
" width: [5, 5]\n",
" binsz: 0.02\n",
" coordsys: CEL\n",
" proj: TAN\n",
" axes:\n",
" - name: energy\n",
" hi_bnd: 10\n",
" lo_bnd: 1\n",
" nbin: 5\n",
" interp: log\n",
" node_type: edges\n",
" unit: TeV\n",
"\n",
"fit:\n",
" fit_range:\n",
" max: 30 TeV\n",
" min: 1 TeV\n",
"\n",
"flux-points:\n",
" fp_binning:\n",
" lo_bnd: 1\n",
" hi_bnd: 10\n",
" interp: log\n",
" nbin: 3\n",
" unit: TeV\n",
"\"\"\""
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We first create an `AnalysiConfig` object from it:"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"config = AnalysisConfig(config_str)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Observation selection\n",
"\n",
"Now we create the high level `Analysis` object from the config object:"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"INFO:gammapy.scripts.analysis:Setting logging config: {'level': 'INFO'}\n"
]
}
],
"source": [
"analysis = Analysis(config)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"And directly select and load the observatiosn from disk using `.get_observations()`:"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"INFO:gammapy.scripts.analysis:Fetching observations.\n",
"INFO:gammapy.scripts.analysis:Info for OBS_ID = 23592\n",
"- Start time: 53347.91\n",
"- Pointing pos: RA 82.01 deg / Dec 22.01 deg\n",
"- Observation duration: 1686.0 s\n",
"- Dead-time fraction: 6.212 %\n",
"\n",
"INFO:gammapy.scripts.analysis:Info for OBS_ID = 23523\n",
"- Start time: 53343.92\n",
"- Pointing pos: RA 83.63 deg / Dec 21.51 deg\n",
"- Observation duration: 1687.0 s\n",
"- Dead-time fraction: 6.240 %\n",
"\n",
"INFO:gammapy.scripts.analysis:Info for OBS_ID = 23526\n",
"- Start time: 53343.95\n",
"- Pointing pos: RA 83.63 deg / Dec 22.51 deg\n",
"- Observation duration: 1683.0 s\n",
"- Dead-time fraction: 6.555 %\n",
"\n",
"INFO:gammapy.scripts.analysis:Info for OBS_ID = 23559\n",
"- Start time: 53345.96\n",
"- Pointing pos: RA 85.25 deg / Dec 22.01 deg\n",
"- Observation duration: 1686.0 s\n",
"- Dead-time fraction: 6.398 %\n",
"\n"
]
}
],
"source": [
"analysis.get_observations()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The observations are now availabe on the `Analysis` object. The selection corresponds to the following ids:"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['23592', '23523', '23526', '23559']"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"analysis.observations.ids"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now we can access and inspect individual observations by accessing with the observation id:"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Info for OBS_ID = 23592\n",
"- Start time: 53347.91\n",
"- Pointing pos: RA 82.01 deg / Dec 22.01 deg\n",
"- Observation duration: 1686.0 s\n",
"- Dead-time fraction: 6.212 %\n",
"\n"
]
}
],
"source": [
"print(analysis.observations[\"23592\"])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"And also show a few overview plots using the `.peek()` method:"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"WARNING:gammapy.irf.psf_table:PSF does not integrate to unity within a precision of 1% in each energy bin. Containment radius computation might give biased results.\n",
"WARNING:gammapy.irf.psf_table:PSF does not integrate to unity within a precision of 1% in each energy bin. Containment radius computation might give biased results.\n",
"WARNING:gammapy.irf.psf_table:PSF does not integrate to unity within a precision of 1% in each energy bin. Containment radius computation might give biased results.\n",
"WARNING:gammapy.irf.psf_table:PSF does not integrate to unity within a precision of 1% in each energy bin. Containment radius computation might give biased results.\n"
]
},
{
"data": {
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\n",
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