Title
| Ultra narrowband detection scheme for dark photon / axion around 30 GHz |
Author(s)
| Miyazaki, A (Uppsala U.) ; Lofnes, T (Uppsala U.) ; Caspers, F (ESI, Archamps ; CERN) ; Spagnolo, P (INFN, Pisa) ; Jelonnek, J (KIT, Karlsruhe) ; Ruess, T (KIT, Karlsruhe) ; Steinmann, J L (KIT, Karlsruhe) ; Thumm, M (KIT, Karlsruhe) |
Publication
| 2022 |
Number of pages
| 1 |
Published in:
| 10.1109/IRMMW-THz50927.2022.9895788 |
Presented at
| 47th International Conference on Infrared, Millimeter and Terahertz Waves (IRMMW-THz), Delft, Netherlands, 28 Aug - 2 Sep 2022 |
DOI
| 10.1109/IRMMW-THz50927.2022.9895788
|
Subject category
| Detectors and Experimental Techniques |
Keywords
| Filtering ; Dark matter ; Synthesizers ; Real-time systems ; Narrowband ; Signal to noise ratio ; Photonics ; axions ; blackbody radiation ; dark matter ; photons ; axion ; dark photon ; millimeter waves ; incoherent blackbody radiation ; signal analyzer ; coherent signal ; dark matter candidates ; signal-to-noise ratio ; ultra narrowband detection scheme ; frequency 30.0 GHz |
Abstract
| We demonstrated that ultra narrowband filtering at 30 GHz dramatically enhances the signal-to-noise ratio to search for dark matter candidates which couple to millimeter waves. A coherent signal relatively locked between a synthesizer and a signal analyzer can be clearly distinguished from incoherent blackbody radiation after real time FFT over a long period. We propose a novel experiment for studying dark matter candidates. |
Other source
| Inspire |
Copyright/License
| © 2022-2025 IEEE |