## Physical parameters of Type II-Plateau Supernovae from Pejcha & Prieto (2015, ApJ, 806, 225) |

Comparison of observational results from Pejcha & Prieto (2015, ApJ, 806, 225) shown with grey ellipses with the predictions of the neutrino mechanism from Pejcha & Thompson (2015, ApJ, 801, 90) shown with orange and green symbols. |

Here we give the plateau luminosities, nickel masses, explosion energies, and progenitor radii obtained using scaling relations from light curves fitted with the method of Pejcha & Prieto (2015, ApJ, 799, 215).

Litvinova & Nadezhin (1985) calibration of the scaling relations

Popov (1993) calibration of the scaling relations

Identification of supernova names

The column structure of the first two files is:

- SN identification number (see the third file for correspondence to the common SN name)
- Explosion epoch relative to the first datapoint in days (more negative number means less coverage of the initial part of the light curve)
- Epoch of the last datapoint (useful to know when measuring late quantities like nickel mass)
- log
_{10}*M*_{Ni}- nickel mass in solar masses (=*q*)_{0} - log
_{10}*L*_{bol}- bolometric plateau luminosity at 50 days after explosion in solar luminosities (=*q*)_{1} - log
_{10}*E*_{exp}- explosion energy in 10^{50}ergs (=*q*)_{2} - log
_{10}*M*_{ej}- ejecta mass in solar masses (=*q*)_{3} - log
_{10}*R*- progenitor radius in solar radii (=*q*)_{4}

Sample IDL code to plot confidence ellipsoids like in our paper. `covar` is an array of covariance matrix coefficients obtained by reading the files above:

plot1 = 2 ; variables to plot, here M_Ni vs E_exp plot2 = 0 cov = reform(covar, 5,5) my_cov[0,0] = cov[plot1,plot1] my_cov[0,1] = cov[plot1,plot2] my_cov[1,0] = cov[plot2,plot1] my_cov[1,1] = cov[plot2,plot2] invc = invert(my_cov,/double) r2 = 2.30/(invc[0,0]*cp^2 + 2.0*invc[0,1]*cp*sp + invc[1,1]*sp^2) ;; factor 2.30 is related to number of variables and confidence level and is explained in Numerical Recipes r = sqrt(r2) x = r*cp ;; these are x and y coordinates of the 1-sigma confidence elipsoid relative to the datapoint y = r*sp