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SuperBol: A User-friendly Python Routine for Bolometric Light Curves

  • Authors: Matt Nicholl

2018 Research Notes of the AAS 2 230.

  • Provider: AAS Journals

Caption: Figure 1.

Diagnostic plots from SuperBol using example data from Nicholl et al. (2017) (available via Github). Top left: multiband light curves are read from file and plotted. Top middle: polynomial fits can be used to interpolate and extrapolate light curves to a common set of reference times; in this example we map the r-band light curve to the reference dates with V-band observations. Extrapolations can also be done by assuming zero color evolution since the last common epoch. Top right: results of mapping the input light curves to the reference times. Bottom left: blackbody fits to all interpolated photometry. Bottom right: final outputs showing luminosity with and without blackbody extrapolations, and temperature and radius from blackbody fits with and without UV data. S, D and A are the UVW2, UVM2 and UVW1 bands (respectively) from the UV-Optical Telescope on board the Neil Gehrels Swift Observatory.

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