Constraint on Lorentz Invariance Violation for spectral lag transition in GRB 160625B using profile likelihood

We reanalyze the spectral lag data for of GRB 160625B using frequentist inference to constrain the energy scale ($E_{QG}$) of Lorentz Invariance Violation (LIV). For this purpose, we use profile likelihood to deal with the astrophysical nuisance parameters. This is in contrast to Bayesian inference implemented in previous works, where marginalization was carried out over the nuisance parameters. We show that with profile likelihood, we do not find a global minimum for $\chi^2$ as a function of $E_{QG}$ below the Planck scale for both the linear and quadratic models of LIV, whereas bounded credible intervals were obtained using Bayesian inference. Therefore, we can set lower limits in a straightforward manner. We find that $E_{QG} \geq 3.7 \times 10^{16}$ GeV and $E_{QG} \geq 2.6 \times 10^7$ GeV at 68\% c.l., for linear and quadratic LIV, respectively. Therefore, this is the first proof of principles application of profile likelihood method to the analysis of GRB spectral lag data to constrain LIV.
Comment: 4 pages, 2 figures