PySynphot example: Calculation in ABMAG

FootPrints_10613.ipynb

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   "source": [
    "import os\n",
    "import numpy as np\n",
    "import pysynphot as S"
   ]
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   "cell_type": "code",
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   "source": [
    "# Where you installed the data files\n",
    "cdbs = os.environ['PYSYN_CDBS']"
   ]
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   "cell_type": "code",
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   "source": [
    "# Change this to your source spectrum\n",
    "sp = S.FileSpectrum(cdbs + 'calspec/alpha_lyr_stis_008.fits')"
   ]
  },
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   "cell_type": "code",
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   "source": [
    "# Bandpass\n",
    "bp = S.FileBandpass(cdbs + 'comp/nonhst/sdss_g_005_syn.fits')"
   ]
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   "source": [
    "# Define an array for optimal binning of your bandpass.\n",
    "# This is just an example.\n",
    "binset = np.arange(3000, 7000)\n",
    "\n",
    "# Create an observation to convolve them\n",
    "obs = S.Observation(sp, bp, binset=binset)"
   ]
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      "text/plain": [
       "-0.09533066034714466"
      ]
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     "execution_count": 7,
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     "output_type": "execute_result"
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   ],
   "source": [
    "# Effective stimulus in ABMAG\n",
    "obs.effstim('abmag')"
   ]
  }
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