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A sample of SEDs and python code to generate natural and instrumental magnitudes, and examine how these change with changes in the bandpasses.

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README

This is a subset of SEDs which can be used to calculate magnitudes of some relatively widely ranging and hopefully useful objects, in combination with rubin_sim.

The python package rubin_sim can be installed with conda from conda-forge or with pip by following the directions in this README.


This photometry_reference directory contains 5 subdirectories containing a sample of reference SEDs, chosen to represent a range of different types of SEDs suitable for addresing various calibration questions. These subdirectories are:

  • galaxies (composite galaxy SEDs from Andy Connolly)
  • photoZ_outliers (containing galaxy templates which are most likely to result in catastrophic failures in determining redshifts using photo-Z techniques. Templates provided by Sam Schmidt, via Tony Tyson).
  • quasar (containing a single quasar SED which has been generated by combining a composite spectrum from 2204 QSO spectra from SDSS (vanden Berk et al) with a simple model for the flux behavior beyond the SDSS wavelengths, provided by Zeljko Ivezic).
  • sn (containing SN SEDs at various points in their time evolution, these come from the SN templates created by Peter Nugent),
  • stars (containing several stars from blue to red -- km10_7250.fits_g45 being the bluest and equivalent to about an F0 type main sequence star [7250 indicates its effective temperature .. hotter=bluer], down to the m3.0Full.dat SED which represents a red Mdwarf. The Kurucz models come from Kurucz 1993, while the Mdwarf is a composite empirical spectra from SDSS extended in wavelength by other observations.)

In each SED file, there may or may not be a header line starting with '#', but the data is always contained in columns of wavelength (in nm) and flux - 'Flambda' specified, that is, in units of ergs/cm^s/s/nm, although the flux is arbitrarily scaled (that is, the SEDs are not photometrically pre-scaled to any particular magnitude).

The directory 'mag_info' contains some brief explanations of magnitudes as can be calculated by rubin_sim.photUtils.

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A sample of SEDs and python code to generate natural and instrumental magnitudes, and examine how these change with changes in the bandpasses.

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