{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "
\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", "\n", "\n", "\n", "\n", "\n", "\n", "
OBS_IDGLON_PNTGLAT_PNTLIVETIME
degdegs
int64float64float64float64
110380359.9999912037958-1.2999959379053661764.0
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" ], "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", 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" ] }, "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", 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" ] }, "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", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "dataset_image.excess.smooth(3).plot(vmax=2);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Source Detection\n", "\n", "Use the class `~gammapy.estimators.TSMapEstimator` and function `gammapy.estimators.utils.find_peaks` to detect sources on the images. We search for 0.1 deg sigma gaussian sources in the dataset." ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "execution": { "iopub.execute_input": "2021-11-22T21:04:30.534124Z", "iopub.status.busy": "2021-11-22T21:04:30.533825Z", "iopub.status.idle": "2021-11-22T21:04:30.534918Z", "shell.execute_reply": "2021-11-22T21:04:30.535154Z" } }, "outputs": [], "source": [ "spatial_model = GaussianSpatialModel(sigma=\"0.05 deg\")\n", "spectral_model = PowerLawSpectralModel(index=2)\n", "model = SkyModel(spatial_model=spatial_model, spectral_model=spectral_model)" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "execution": { "iopub.execute_input": "2021-11-22T21:04:30.537194Z", "iopub.status.busy": "2021-11-22T21:04:30.536856Z", "iopub.status.idle": "2021-11-22T21:04:30.538024Z", "shell.execute_reply": "2021-11-22T21:04:30.538222Z" } }, "outputs": [], "source": [ "ts_image_estimator = TSMapEstimator(\n", " model,\n", " kernel_width=\"0.5 deg\",\n", " selection_optional=[],\n", " downsampling_factor=2,\n", " sum_over_energy_groups=False,\n", " energy_edges=[0.1, 10] * u.TeV,\n", ")" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "execution": { "iopub.execute_input": "2021-11-22T21:04:30.540041Z", "iopub.status.busy": "2021-11-22T21:04:30.539704Z", "iopub.status.idle": "2021-11-22T21:04:34.317739Z", "shell.execute_reply": "2021-11-22T21:04:34.318049Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 3.95 s, sys: 92.8 ms, total: 4.04 s\n", "Wall time: 3.78 s\n" ] } ], "source": [ "%%time\n", "images_ts = ts_image_estimator.run(stacked)" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "execution": { "iopub.execute_input": "2021-11-22T21:04:34.320234Z", "iopub.status.busy": "2021-11-22T21:04:34.319934Z", "iopub.status.idle": "2021-11-22T21:04:34.330595Z", "shell.execute_reply": "2021-11-22T21:04:34.330830Z" } }, "outputs": [ { "data": { "text/html": [ "
Table length=9\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
valuexyradec
degdeg
float64int64int64float64float64
35.938252197266.42400-29.00490
17.9207202266.85900-28.18386
12.763186200267.14365-27.84496
9.9763373205264.79470-30.97749
8.6623306185266.01081-30.05120
8.0457298169266.42267-30.08192
7.3818274217265.77047-29.17056
6.692290209268.07455-26.10409
5.022387226267.78333-25.87897
" ], "text/plain": [ "\n", " value x y ra dec \n", " deg deg \n", "float64 int64 int64 float64 float64 \n", "------- ----- ----- --------- ---------\n", " 35.938 252 197 266.42400 -29.00490\n", " 17.9 207 202 266.85900 -28.18386\n", " 12.763 186 200 267.14365 -27.84496\n", " 9.9763 373 205 264.79470 -30.97749\n", " 8.6623 306 185 266.01081 -30.05120\n", " 8.0457 298 169 266.42267 -30.08192\n", " 7.3818 274 217 265.77047 -29.17056\n", " 6.6922 90 209 268.07455 -26.10409\n", " 5.0223 87 226 267.78333 -25.87897" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "sources = find_peaks(\n", " images_ts[\"sqrt_ts\"],\n", " threshold=5,\n", " min_distance=\"0.2 deg\",\n", ")\n", "sources" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "execution": { "iopub.execute_input": "2021-11-22T21:04:34.333484Z", "iopub.status.busy": "2021-11-22T21:04:34.333163Z", "iopub.status.idle": "2021-11-22T21:04:34.334646Z", "shell.execute_reply": "2021-11-22T21:04:34.334817Z" } }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "source_pos = SkyCoord(sources[\"ra\"], sources[\"dec\"])\n", "source_pos" ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "execution": { "iopub.execute_input": "2021-11-22T21:04:34.336923Z", "iopub.status.busy": "2021-11-22T21:04:34.336624Z", "iopub.status.idle": "2021-11-22T21:04:34.521557Z", "shell.execute_reply": "2021-11-22T21:04:34.521758Z" }, "nbsphinx-thumbnail": { "tooltip": "Detect sources, produce a sky image and a spectrum using the reflected regions background estimation." } }, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Plot sources on top of significance sky image\n", "images_ts[\"sqrt_ts\"].plot(add_cbar=True)\n", "\n", "plt.gca().scatter(\n", " source_pos.ra.deg,\n", " source_pos.dec.deg,\n", " transform=plt.gca().get_transform(\"icrs\"),\n", " color=\"none\",\n", " edgecolor=\"white\",\n", " marker=\"o\",\n", " s=200,\n", " lw=1.5,\n", ");" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Spatial analysis\n", "\n", "See other notebooks for how to run a 3D cube or 2D image based analysis." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Spectrum\n", "\n", "We'll run a spectral analysis using the classical reflected regions background estimation method,\n", "and using the on-off (often called WSTAT) likelihood function." ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "execution": { "iopub.execute_input": "2021-11-22T21:04:34.524241Z", "iopub.status.busy": "2021-11-22T21:04:34.523938Z", "iopub.status.idle": "2021-11-22T21:04:34.525034Z", "shell.execute_reply": "2021-11-22T21:04:34.525338Z" } }, "outputs": [], "source": [ "target_position = SkyCoord(0, 0, unit=\"deg\", frame=\"galactic\")\n", "on_radius = 0.2 * u.deg\n", "on_region = CircleSkyRegion(center=target_position, radius=on_radius)" ] }, { "cell_type": "code", "execution_count": 22, "metadata": { "execution": { "iopub.execute_input": "2021-11-22T21:04:34.527180Z", "iopub.status.busy": "2021-11-22T21:04:34.526868Z", "iopub.status.idle": "2021-11-22T21:04:34.685538Z", "shell.execute_reply": "2021-11-22T21:04:34.685790Z" } }, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "exclusion_mask = ~geom.to_image().region_mask([on_region])\n", "exclusion_mask.plot();" ] }, { "cell_type": "code", "execution_count": 23, "metadata": { "execution": { "iopub.execute_input": "2021-11-22T21:04:34.688676Z", "iopub.status.busy": "2021-11-22T21:04:34.688364Z", "iopub.status.idle": "2021-11-22T21:04:34.693508Z", "shell.execute_reply": "2021-11-22T21:04:34.693693Z" } }, "outputs": [], "source": [ "energy_axis = MapAxis.from_energy_bounds(\n", " 0.1, 40, 40, unit=\"TeV\", name=\"energy\"\n", ")\n", "energy_axis_true = MapAxis.from_energy_bounds(\n", " 0.05, 100, 200, unit=\"TeV\", name=\"energy_true\"\n", ")\n", "\n", "geom = RegionGeom.create(region=on_region, axes=[energy_axis])\n", "dataset_empty = SpectrumDataset.create(\n", " geom=geom, energy_axis_true=energy_axis_true\n", ")" ] }, { "cell_type": "code", "execution_count": 24, "metadata": { "execution": { "iopub.execute_input": "2021-11-22T21:04:34.695864Z", "iopub.status.busy": "2021-11-22T21:04:34.695538Z", "iopub.status.idle": "2021-11-22T21:04:34.696908Z", "shell.execute_reply": "2021-11-22T21:04:34.697156Z" } }, "outputs": [], "source": [ "dataset_maker = SpectrumDatasetMaker(\n", " containment_correction=False, selection=[\"counts\", \"exposure\", \"edisp\"]\n", ")\n", "bkg_maker = ReflectedRegionsBackgroundMaker(exclusion_mask=exclusion_mask)\n", "safe_mask_masker = SafeMaskMaker(methods=[\"aeff-max\"], aeff_percent=10)" ] }, { "cell_type": "code", "execution_count": 25, "metadata": { "execution": { "iopub.execute_input": "2021-11-22T21:04:34.701062Z", "iopub.status.busy": "2021-11-22T21:04:34.700733Z", "iopub.status.idle": "2021-11-22T21:04:36.794031Z", "shell.execute_reply": "2021-11-22T21:04:36.794259Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 2.26 s, sys: 108 ms, total: 2.37 s\n", "Wall time: 2.09 s\n" ] } ], "source": [ "%%time\n", "datasets = Datasets()\n", "\n", "for observation in observations:\n", " dataset = dataset_maker.run(\n", " dataset_empty.copy(name=f\"obs-{observation.obs_id}\"), observation\n", " )\n", " dataset_on_off = bkg_maker.run(dataset, observation)\n", " dataset_on_off = safe_mask_masker.run(dataset_on_off, observation)\n", " datasets.append(dataset_on_off)" ] }, { "cell_type": "code", "execution_count": 26, "metadata": { "execution": { "iopub.execute_input": "2021-11-22T21:04:36.796933Z", "iopub.status.busy": "2021-11-22T21:04:36.796648Z", "iopub.status.idle": "2021-11-22T21:04:37.089377Z", "shell.execute_reply": "2021-11-22T21:04:37.089604Z" } }, "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", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(8, 8))\n", "ax = dataset_image.counts.smooth(\"0.03 deg\").plot(vmax=8)\n", "\n", "on_region.to_pixel(ax.wcs).plot(ax=ax, edgecolor=\"white\")\n", "plot_spectrum_datasets_off_regions(datasets, ax=ax)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Model fit\n", "\n", "The next step is to fit a spectral model, using all data (i.e. a \"global\" fit, using all energies)." ] }, { "cell_type": "code", "execution_count": 27, "metadata": { "execution": { "iopub.execute_input": "2021-11-22T21:04:37.094323Z", "iopub.status.busy": "2021-11-22T21:04:37.093948Z", "iopub.status.idle": "2021-11-22T21:04:37.769334Z", "shell.execute_reply": "2021-11-22T21:04:37.769567Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "OptimizeResult\n", "\n", "\tbackend : minuit\n", "\tmethod : migrad\n", "\tsuccess : True\n", "\tmessage : Optimization terminated successfully.\n", "\tnfev : 104\n", "\ttotal stat : 88.36\n", "\n", "OptimizeResult\n", "\n", "\tbackend : minuit\n", "\tmethod : migrad\n", "\tsuccess : True\n", "\tmessage : Optimization terminated successfully.\n", "\tnfev : 104\n", "\ttotal stat : 88.36\n", "\n", "\n", "CPU times: user 886 ms, sys: 44.2 ms, total: 931 ms\n", "Wall time: 676 ms\n" ] } ], "source": [ "%%time\n", "spectral_model = PowerLawSpectralModel(\n", " index=2, amplitude=1e-11 * u.Unit(\"cm-2 s-1 TeV-1\"), reference=1 * u.TeV\n", ")\n", "\n", "model = SkyModel(spectral_model=spectral_model, name=\"source-gc\")\n", "\n", "datasets.models = model\n", "\n", "fit = Fit()\n", "result = fit.run(datasets=datasets)\n", "print(result)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Spectral points\n", "\n", "Finally, let's compute spectral points. The method used is to first choose an energy binning, and then to do a 1-dim likelihood fit / profile to compute the flux and flux error." ] }, { "cell_type": "code", "execution_count": 28, "metadata": { "execution": { "iopub.execute_input": "2021-11-22T21:04:37.787086Z", "iopub.status.busy": "2021-11-22T21:04:37.786782Z", "iopub.status.idle": "2021-11-22T21:04:37.830150Z", "shell.execute_reply": "2021-11-22T21:04:37.830323Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "SpectrumDatasetOnOff\n", "--------------------\n", "\n", " Name : stacked \n", "\n", " Total counts : 413 \n", " Total background counts : 85.43\n", " Total excess counts : 327.57\n", "\n", " Predicted counts : 98.34\n", " Predicted background counts : 98.34\n", " Predicted excess counts : nan\n", "\n", " Exposure min : 9.94e+07 m2 s\n", " Exposure max : 2.46e+10 m2 s\n", "\n", " Number of total bins : 40 \n", " Number of fit bins : 30 \n", "\n", " Fit statistic type : wstat\n", " Fit statistic value (-2 log(L)) : 658.76\n", "\n", " Number of models : 0 \n", " Number of parameters : 0\n", " Number of free parameters : 0\n", "\n", " Total counts_off : 2095 \n", " Acceptance : 40 \n", " Acceptance off : 990 \n", "\n" ] } ], "source": [ "# Flux points are computed on stacked observation\n", "stacked_dataset = datasets.stack_reduce(name=\"stacked\")\n", "\n", "print(stacked_dataset)" ] }, { "cell_type": "code", "execution_count": 29, "metadata": { "execution": { "iopub.execute_input": "2021-11-22T21:04:37.834622Z", "iopub.status.busy": "2021-11-22T21:04:37.834318Z", "iopub.status.idle": "2021-11-22T21:04:38.129150Z", "shell.execute_reply": "2021-11-22T21:04:38.129381Z" } }, "outputs": [ { "data": { "text/html": [ "
Table length=5\n", "
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e_refe_mine_maxdndednde_errtssqrt_tsnpred [1]npred_excess [1]statis_ulcounts [1]success
TeVTeVTeV1 / (cm2 s TeV)1 / (cm2 s TeV)
float64float64float64float64float64float64float64float64float32float64boolfloat64bool
1.3750.9462.0001.447e-121.783e-13152.51312.350105.7752244880275983.8989213.412False106.0True
2.6992.0003.6413.563e-134.835e-14150.65412.27473.025119121377663.132472.245False73.0True
5.2953.6417.7007.332e-141.138e-14121.57011.02653.9835920845240347.4558750.624False54.0True
11.1987.70016.2846.353e-152.154e-1521.7894.66813.18842983820412210.6604475.744False13.0True
21.97116.28429.6451.109e-156.938e-166.2502.5004.1453105388076713.1979892.899False4.0True
" ], "text/plain": [ "\n", " e_ref e_min e_max dnde dnde_err ts sqrt_ts npred [1] npred_excess [1] stat is_ul counts [1] success\n", " TeV TeV TeV 1 / (cm2 s TeV) 1 / (cm2 s TeV) \n", "float64 float64 float64 float64 float64 float64 float64 float64 float32 float64 bool float64 bool \n", "------- ------- ------- --------------- --------------- ------- ------- ------------------ ---------------- ------- ----- ---------- -------\n", " 1.375 0.946 2.000 1.447e-12 1.783e-13 152.513 12.350 105.77522448802759 83.89892 13.412 False 106.0 True\n", " 2.699 2.000 3.641 3.563e-13 4.835e-14 150.654 12.274 73.0251191213776 63.13247 2.245 False 73.0 True\n", " 5.295 3.641 7.700 7.332e-14 1.138e-14 121.570 11.026 53.98359208452403 47.455875 0.624 False 54.0 True\n", " 11.198 7.700 16.284 6.353e-15 2.154e-15 21.789 4.668 13.188429838204122 10.660447 5.744 False 13.0 True\n", " 21.971 16.284 29.645 1.109e-15 6.938e-16 6.250 2.500 4.145310538807671 3.197989 2.899 False 4.0 True" ] }, "execution_count": 29, "metadata": {}, "output_type": "execute_result" } ], "source": [ "energy_edges = MapAxis.from_energy_bounds(\"1 TeV\", \"30 TeV\", nbin=5).edges\n", "\n", "stacked_dataset.models = model\n", "\n", "fpe = FluxPointsEstimator(energy_edges=energy_edges, source=\"source-gc\")\n", "flux_points = fpe.run(datasets=[stacked_dataset])\n", "flux_points.to_table(sed_type=\"dnde\", formatted=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Plot\n", "\n", "Let's plot the spectral model and points. You could do it directly, but for convenience we bundle the model and the flux points in a `FluxPointDataset`:" ] }, { "cell_type": "code", "execution_count": 30, "metadata": { "execution": { "iopub.execute_input": "2021-11-22T21:04:38.131643Z", "iopub.status.busy": "2021-11-22T21:04:38.131364Z", "iopub.status.idle": "2021-11-22T21:04:38.132390Z", "shell.execute_reply": "2021-11-22T21:04:38.132613Z" } }, "outputs": [], "source": [ "flux_points_dataset = FluxPointsDataset(data=flux_points, models=model)" ] }, { "cell_type": "code", "execution_count": 31, "metadata": { "execution": { "iopub.execute_input": "2021-11-22T21:04:38.166105Z", "iopub.status.busy": "2021-11-22T21:04:38.158136Z", "iopub.status.idle": "2021-11-22T21:04:38.438543Z", "shell.execute_reply": "2021-11-22T21:04:38.438786Z" } }, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "flux_points_dataset.plot_fit();" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Exercises\n", "\n", "* Re-run the analysis above, varying some analysis parameters, e.g.\n", " * Select a few other observations\n", " * Change the energy band for the map\n", " * Change the spectral model for the fit\n", " * Change the energy binning for the spectral points\n", "* Change the target. Make a sky image and spectrum for your favourite source.\n", " * If you don't know any, the Crab nebula is the \"hello world!\" analysis of gamma-ray astronomy." ] }, { "cell_type": "code", "execution_count": 32, "metadata": { "execution": { "iopub.execute_input": "2021-11-22T21:04:38.440489Z", "iopub.status.busy": "2021-11-22T21:04:38.440212Z", "iopub.status.idle": "2021-11-22T21:04:38.441497Z", "shell.execute_reply": "2021-11-22T21:04:38.441293Z" } }, "outputs": [], "source": [ "# print('hello world')\n", "# SkyCoord.from_name('crab')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## What next?\n", "\n", "* This notebook showed an example of a first CTA analysis with Gammapy, using simulated 1DC data.\n", "* Let us know if you have any question or issues!" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.0" }, "nbsphinx": { "orphan": true } }, "nbformat": 4, "nbformat_minor": 4 }