Discriminating between different modified dispersion relations from gamma-ray observations
The fact that the standard dispersion relation for photons in vacuum could be modified because of their interaction with the quantum nature of spacetime has been proposed more than two decades ago. A quantitative model [Jacob \& Piran, JCAP 01, 031 (2008)], has been tested extensively using dist...
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Zusammenfassung: | The fact that the standard dispersion relation for photons in vacuum could be
modified because of their interaction with the quantum nature of spacetime has
been proposed more than two decades ago. A quantitative model [Jacob \& Piran,
JCAP 01, 031 (2008)], has been tested extensively using distant highly
energetic astrophysical sources, searching for energy-dependent time delays in
photon arrival times. Since no delay was firmly measured, lower limits were set
on the energy scale $\Lambda$ related to these effects. In recent years,
however, different but equally well-grounded expressions beyond the Jacob \&
Piran model were obtained for the photon dispersion relation, leading to
different expressions for the dependence of lag versus redshift. This article
introduces a general parameterization of modified dispersion relations in
cosmological symmetry, which directly leads to a general parameterized lag
versus redshift dependence encompassing both existing and new models. This
parameterization could be used in the future to compare the predicted time lags
of the different models and test them against observations. To investigate this
possibility, realistic data sets are simulated, mimicking different types of
extragalactic sources as detected by current and future instruments. When no
lag is injected in the simulated data, each lag-redshift model leads, as
expected, to a different value for the limit on $\Lambda$, and the Jacob \&
Piran model gives the most stringent bound. When a lag at $\Lambda \sim E_P$ in
the Jacob \& Piran model is injected, it is detected for all the other
lag-redshift relations considered, although leading to different values.
Finally, the possibility to discriminate between several lag-redshift models is
investigated, emphasizing the importance of an evenly distributed sample of
sources across a wide range of redshifts. |
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DOI: | 10.48550/arxiv.2412.16048 |