Speakers
Description
Over the last few decades, dwarf spheroidal galaxies (dSphs) have emerged as prominent targets for indirect dark matter searches in both the radio and gamma-ray regimes due to their high mass-to-light ratio. While gamma-ray observatories, such as MAGIC, search for secondary photons from weakly interacting massive particle (WIMP) annihilation or decay, radio observatories, such as LOFAR, probe the synchrotron emission of the accompanying electrons and positrons. Combining both approaches allows further constraining the WIMP parameter space.
In this work, we adapt the deep-learning-based image reconstruction framework, radionets, for dSph candidates in the radio regime. Further, we employ a recently developed 3-dimensional (spatial + energy) likelihood analysis for dark matter searches with the MAGIC telescopes. Both analyses are discussed alongside the prospects for combined WIMP constraints from radio and gamma-ray observations.
The talk focuses on the sensitivity improvements achieved by combining radio and gamma-ray observations to constrain the WIMP parameter space.
