Speaker
Description
Several cutting-edge experiments using cryogenic superconducting devices are being developed to search for light Dark Matter, implementing innovative techniques for background suppression.
We propose a novel cryogenic muon tagging system based on Kinetic Inductance Detectors (KIDs) that achieves an efficiency exceeding 90% with negligible dead time. The muon tagging system has been specifically developed for superconducting qubits, an emerging technology in Dark Matter detection, to veto operations affected by muon-induced errors. Thanks to its simple design and fabrication, as well as the capability to read multiple devices on a single readout line, the tagging system is easily adaptable to a wide range of cryogenic detectors.
In this contribution, we present the performance of the muon tagging system, first installed on a phonon-mediated KID similar to those developed within the CALDER project, and subsequently on a high-$T_1$ qubit chip developed within the SQMS center.