PIRSA:23050083

Video URL

https://pirsa.org/23050083

Grad Student Seminar with Nils Siemonsen

Siemonsen, N.P. (2023). Grad Student Seminar with Nils Siemonsen. Perimeter Institute for Theoretical Physics. https://pirsa.org/23050083

Siemonsen, Nils Peter. Grad Student Seminar with Nils Siemonsen. Perimeter Institute for Theoretical Physics, May. 01, 2023, https://pirsa.org/23050083 

          @misc{ scivideos_PIRSA:23050083,
            doi = {10.48660/23050083},
            url = {https://pirsa.org/23050083},
            author = {Siemonsen, Nils Peter},
            keywords = {Other Physics},
            language = {en},
            title = {Grad Student Seminar with Nils Siemonsen},
            publisher = {Perimeter Institute for Theoretical Physics},
            year = {2023},
            month = {may},
            note = {PIRSA:23050083 see, \url{https://scivideos.org/pirsa/23050083}}
          }

Nils Peter Siemonsen Princeton University

Talk numberPIRSA:23050083
DOI10.48660/23050083
Source RepositoryPIRSA
Talk Type Scientific Series
Subject

Abstract

Nils Siemonsen, Perimeter Institute & University of Waterloo

Dark Photon Superradiance

Gravitational and electromagnetic signatures of black hole superradiance are a unique probe of ultralight particles that are weakly-coupled to ordinary matter. Considering the lowest-order interactions one can write down for spin-1 dark photons, the kinetic mixing, a dark photon superradiance cloud sources a rotating visible electromagnetic field. A pair production cascade ensues in the superradiance cloud, resulting a turbulent plasma with strong electromagnetic emissions. The emission is expected to have a significant X-ray component and to potentially be periodic, with period set by the dark photon mass. The luminosity is comparable to the brightest X-ray sources in the Universe, allowing for searches at distances of up to hundreds of Mpc with existing telescopes. Therefore, multi-messenger search campaigns are sensitive to large parts of unexplored beyond the Standard Model parameter space.