Commit d80ad5c6064e5121d43e442f865d90ef224e1e6f
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renamed to make_pull_at_sensivitity_limit.py
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examples/sensitivity_pull.py deleted
| 1 | -#! /usr/bin/env python | ||
| 2 | -# ========================================================================== | ||
| 3 | -# This script generates pull distributions for a source at the 5 sigma | ||
| 4 | -# sensitivity limit. The script makes use of the "processing" Python module, | ||
| 5 | -# if available, that can be used for parallel computing on multiple | ||
| 6 | -# cores/CPUs. | ||
| 7 | -# | ||
| 8 | -# Required 3rd party modules: | ||
| 9 | -# - processing (optional) | ||
| 10 | -# | ||
| 11 | -# Copyright (C) 2011 Jurgen Knodlseder | ||
| 12 | -# | ||
| 13 | -# This program is free software: you can redistribute it and/or modify | ||
| 14 | -# it under the terms of the GNU General Public License as published by | ||
| 15 | -# the Free Software Foundation, either version 3 of the License, or | ||
| 16 | -# (at your option) any later version. | ||
| 17 | -# | ||
| 18 | -# This program is distributed in the hope that it will be useful, | ||
| 19 | -# but WITHOUT ANY WARRANTY; without even the implied warranty of | ||
| 20 | -# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the | ||
| 21 | -# GNU General Public License for more details. | ||
| 22 | -# | ||
| 23 | -# You should have received a copy of the GNU General Public License | ||
| 24 | -# along with this program. If not, see <http://www.gnu.org/licenses/>. | ||
| 25 | -# | ||
| 26 | -# ========================================================================== | ||
| 27 | -from ctatools import * | ||
| 28 | -from gammalib import * | ||
| 29 | -from cspull import * | ||
| 30 | -import sys | ||
| 31 | -import time | ||
| 32 | - | ||
| 33 | -# Try importing processing module | ||
| 34 | -has_processing = False | ||
| 35 | -try: | ||
| 36 | - import processing | ||
| 37 | - has_processing = True | ||
| 38 | -except: | ||
| 39 | - pass | ||
| 40 | - | ||
| 41 | - | ||
| 42 | -# ======================== # | ||
| 43 | -# Create pull distribution # | ||
| 44 | -# ======================== # | ||
| 45 | -def create_pull(loge, emin, emax, models, ntrials=100, duration=180000.0, \ | ||
| 46 | - enumbins=0, log=False): | ||
| 47 | - """ | ||
| 48 | - Create pull distribution | ||
| 49 | - | ||
| 50 | - Parameters: | ||
| 51 | - emin - Minimum energy (TeV) | ||
| 52 | - emax - Maximum energy (TeV) | ||
| 53 | - Keywords: | ||
| 54 | - log - Create log file(s) | ||
| 55 | - """ | ||
| 56 | - # Generate output filename | ||
| 57 | - outfile = "pull_"+loge+".dat" | ||
| 58 | - | ||
| 59 | - # Setup cspull tool | ||
| 60 | - pull = cspull() | ||
| 61 | - pull.models(models) | ||
| 62 | - pull["outfile"] = outfile | ||
| 63 | - pull["ntrials"] = ntrials | ||
| 64 | - pull["caldb"] = "$GAMMALIB/share/caldb/cta" | ||
| 65 | - pull["irf"] = "kb_E_50h_v3" | ||
| 66 | - pull["ra"] = 83.6331 | ||
| 67 | - pull["dec"] = 22.0145 | ||
| 68 | - pull["emin"] = emin | ||
| 69 | - pull["emax"] = emax | ||
| 70 | - pull["enumbins"] = enumbins | ||
| 71 | - pull["duration"] = duration | ||
| 72 | - | ||
| 73 | - # Optionally open the log file | ||
| 74 | - if log: | ||
| 75 | - pull.logFileOpen() | ||
| 76 | - | ||
| 77 | - # Run tool | ||
| 78 | - pull.run() | ||
| 79 | - | ||
| 80 | - # Return | ||
| 81 | - return | ||
| 82 | - | ||
| 83 | - | ||
| 84 | -# ============ # | ||
| 85 | -# Create model # | ||
| 86 | -# ============ # | ||
| 87 | -def create_model(flux, index=-2.48, fitidx=False): | ||
| 88 | - """ | ||
| 89 | - Add standard CTA background model to observations container. | ||
| 90 | - We use a simple power law here, scaled to Konrad's E configuration | ||
| 91 | - performance table. | ||
| 92 | - | ||
| 93 | - Parameters: | ||
| 94 | - flux - Flux in Crab units | ||
| 95 | - """ | ||
| 96 | - # Define background model | ||
| 97 | - bgd_radial = GCTAModelRadialGauss(3.0) | ||
| 98 | - bgd_spectrum = GModelSpectralPlaw(61.8, -1.85) | ||
| 99 | - bgd_spectrum["Prefactor"].scale(1.0e-6) | ||
| 100 | - bgd_spectrum["PivotEnergy"].value(1.0) | ||
| 101 | - bgd_spectrum["PivotEnergy"].scale(1.0e6) | ||
| 102 | - if fitidx: | ||
| 103 | - bgd_spectrum["Index"].free() | ||
| 104 | - else: | ||
| 105 | - bgd_spectrum["Index"].fix() | ||
| 106 | - bgd_model = GCTAModelRadialAcceptance(bgd_radial, bgd_spectrum) | ||
| 107 | - bgd_model.name("Background") | ||
| 108 | - bgd_model.instruments("CTA") | ||
| 109 | - | ||
| 110 | - # Define source spectrum | ||
| 111 | - location = GSkyDir() | ||
| 112 | - location.radec_deg(83.6331, 22.0145) | ||
| 113 | - src_spatial = GModelSpatialPtsrc(location) | ||
| 114 | - src_spectrum = GModelSpectralPlaw(flux, index) | ||
| 115 | - src_spectrum["Prefactor"].scale(5.7e-16) | ||
| 116 | - src_spectrum["PivotEnergy"].value(0.3) | ||
| 117 | - src_spectrum["PivotEnergy"].scale(1.0e6) | ||
| 118 | - if fitidx: | ||
| 119 | - src_spectrum["Index"].free() | ||
| 120 | - else: | ||
| 121 | - src_spectrum["Index"].fix() | ||
| 122 | - src_model = GModelPointSource(src_spatial, src_spectrum) | ||
| 123 | - src_model.name("Test") | ||
| 124 | - | ||
| 125 | - # Add models to container | ||
| 126 | - models = GModels() | ||
| 127 | - models.append(bgd_model) | ||
| 128 | - models.append(src_model) | ||
| 129 | - | ||
| 130 | - # Return model container | ||
| 131 | - return models | ||
| 132 | - | ||
| 133 | - | ||
| 134 | -# ======================== # | ||
| 135 | -# Main routine entry point # | ||
| 136 | -# ======================== # | ||
| 137 | -if __name__ == '__main__': | ||
| 138 | - """ | ||
| 139 | - Create pull distributions for the energy bands and fluxes given in the | ||
| 140 | - file specified in the argument | ||
| 141 | - """ | ||
| 142 | - # Get input arguments | ||
| 143 | - usage = "sensitivity_pull filename [max_threads]" | ||
| 144 | - if len(sys.argv) < 2 or len(sys.argv) > 3: | ||
| 145 | - print usage | ||
| 146 | - sys.exit() | ||
| 147 | - | ||
| 148 | - # Get sensitivity file | ||
| 149 | - filename = sys.argv[1] | ||
| 150 | - | ||
| 151 | - # Set maximum number of threads | ||
| 152 | - if len(sys.argv) > 2: | ||
| 153 | - max_threads = int(sys.argv[2]) | ||
| 154 | - else: | ||
| 155 | - max_threads = 1 | ||
| 156 | - | ||
| 157 | - # Load sensitivity file | ||
| 158 | - file = open(filename, 'r') | ||
| 159 | - reader = csv.DictReader(file) | ||
| 160 | - | ||
| 161 | - # Loop over rows | ||
| 162 | - for row in reader: | ||
| 163 | - | ||
| 164 | - # Get parameters | ||
| 165 | - loge = float(row['loge']) | ||
| 166 | - if loge < 0: | ||
| 167 | - loge = "m"+str(abs(loge)) | ||
| 168 | - else: | ||
| 169 | - loge = "p"+str(abs(loge)) | ||
| 170 | - emin = float(row['emin']) | ||
| 171 | - emax = float(row['emax']) | ||
| 172 | - flux = float(row['crab']) | ||
| 173 | - | ||
| 174 | - # Generate model | ||
| 175 | - models = create_model(flux) | ||
| 176 | - | ||
| 177 | - # Processing support? | ||
| 178 | - if has_processing: | ||
| 179 | - | ||
| 180 | - # Wait until one thread has finished | ||
| 181 | - while len(processing.activeChildren()) >= max_threads: | ||
| 182 | - time.sleep(60) | ||
| 183 | - | ||
| 184 | - # Set arguments | ||
| 185 | - args = (loge, emin, emax, models) | ||
| 186 | - kwargs = {} | ||
| 187 | - | ||
| 188 | - # Generate pull distribution | ||
| 189 | - p = processing.Process(target=create_pull, args=args, kwargs=kwargs) | ||
| 190 | - p.start() | ||
| 191 | - print "Process emin=%.4f emax=%.4f started." % (emin, emax) | ||
| 192 | - | ||
| 193 | - # Wait some time | ||
| 194 | - time.sleep(1) | ||
| 195 | - | ||
| 196 | - # ... no | ||
| 197 | - else: | ||
| 198 | - create_pull(loge, emin, emax, models) | ||
| 199 | - | ||
| 200 | - # Processing support | ||
| 201 | - if has_processing: | ||
| 202 | - | ||
| 203 | - # Wait until all threads finished | ||
| 204 | - while len(processing.activeChildren()) > 0: | ||
| 205 | - time.sleep(60) | ||
| 206 | - | ||
| 207 | - # Close file | ||
| 208 | - file.close() |