We introduce a novel class of signatures - spectral edges and end points - in 21-cm measurements resulting from interactions between the standard and dark sectors. Within the context of a kinetically mixed dark photon, we demonstrate how resonant dark photon-to-photon conversions can imprint distinctive spectral features in the observed 21-cm brightness temperature, with implications for current, upcoming, and proposed experiments targeting the cosmic dawn and the dark ages. These signatures open up a qualitatively new way to look for physics beyond the Standard Model using 21-cm observations.
Bibliographical noteFunding Information:
We thank Yacine Ali-Haïmoud, Misha Ivanov, Julien Lesgourgues, Julian Muñoz, Josef Pradler, Roman Scoccimarro, and Tejaswi Venumadhav for helpful conversations. A. C. acknowledges support from the “Generalitat Valencian” (Spain) through the “plan GenT” Program No. (CIDEGENT/2018/019), as well as national Grants No. FPA2014-57816-P, FPA2017-85985-P, and the European Project No. H2020-MSCA-ITN-2015//674896-ELUSIVES. H. L. is supported by the DOE under Contract No. DESC0007968. S. M. and J. T. R. are supported by the NSF CAREER Grant No. PHY-1554858 and NSF Grant No. PHY-1915409. S. M. is additionally supported by the Simons Foundation. J. T. R. is also supported by a grant from the Alexander von Humboldt Foundation and by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germanys Excellence Strategy EXC 2121 Quantum Universe 390833306. J. T. R. acknowledges hospitality from the Aspen Center for Physics, which is supported by the NSF Grant No. PHY-1607611. M. P. is supported in part by U.S. Department of Energy (Grant No. desc0011842). A. U. is supported in part by the MIUR under Contract No. 2017 FMJFMW and by the INFN grant SESAMO. This work made use of the NYU IT High Performance Computing resources, services, and staff expertise. The authors are pleased to acknowledge that the work reported on in this Letter was substantially performed using the Princeton Research Computing resources at Princeton University which is a consortium of groups including the Princeton Institute for Computational Science and Engineering and the Princeton University Office of Information Technology’s Research Computing department. This research has made use of NASA’s Astrophysics Data System. This research made use of the ares , astropy , CAMB , CLASS , COLOSSUS , HyRec , ipython , Jupyter , DarkHistory , matplotlib , nbodykit , n um p y , seaborn , pandas , s ci p y , and tqdm software packages.
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