Light speed variation from gamma ray bursts: criteria for low energy photons
Yue Liu, Bo-Qiang Ma

TL;DR
This paper proposes a new method to detect variations in light speed from gamma ray burst data by analyzing characteristic times of low energy photons using combined light and energy curves, applied to Fermi data.
Contribution
It introduces a novel criterion combining light and energy curves to determine low energy photon characteristic times, improving detection consistency across multiple Fermi detectors.
Findings
Consistent results obtained across different Fermi detectors.
New criteria effectively determine low energy photon times.
Method enhances detection of light speed variation signals.
Abstract
We examine a method to detect the light speed variation from gamma ray burst data observed by the Fermi Gamma-ray Space Telescope (FGST). We suggest new criteria to determine the characteristic time for low energy photons by the energy curve and the average energy curve, and obtain similar results compared with those from the light curve. We offer a new criterion with both the light curve and the average energy curve to determine the characteristic time for low energy photons. We then apply the new criteria to the GBM NaI data, the GBM BGO data, and the LAT LLE data, and obtain consistent results for three different sets of low energy photons from different FERMI detectors.
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