Abstract

Due to their excellent energy resolution, the intrinsically fast signal rise time, the huge energy dynamic range, and the almost ideally linear detector response, metallic magnetic calorimeters (MMC)s are very well suited for a variety of applications in physics. In particular, the ECHo experiment aims to utilize large-scale MMC-based detector arrays to investigate the mass of the electron neutrino. Reading out such arrays is a challenging task which can be tackled using microwave SQUID multiplexing. Here, the detector signals are transduced into frequency shifts of superconducting microwave resonators, which can be deduced using a high-end software-defined radio (SDR) system. The ECHo SDR system is a custom-made modular electronics, which provides 400 channels equally distributed in a 4 to 8 GHz frequency band. The system consists of a superheterodyne RF frequency converter with two successive mixers, a modular conversion, and an FPGA board. For channelization, a novel heterogeneous approach, utilizing the integrated digital down conversion (DDC) of the ADC, a polyphase channelizer, and another DDC for demodulation, is proposed. This approach has excellent channelization properties while being resource-efficient at the same time. After signal demodulation, on-FPGA flux-ramp demodulation processes the signals before streaming it to the data processing and storage backend.

Highlights

  • Metallic magnetic calorimeters (MMC) offer excellent sensor properties for various applications

  • The energy resolution and dynamic range, fast signal rise time, and the almost ideally linear detector response are the main benefits compared to other calorimeter types [1]

  • A promising solution for reading out such large MMC-based detector arrays is microwave SQUID multiplexing [3, 4]. This technique has proven to provide high multiplexing factors for transition edge sensor arrays. It has not been used for reading out metallic magnetic calorimeters within a real application due to a number of reasons: Existing microwave SQUID multiplexers that have been developed for TES readout, for example, do not provide enough bandwidth per channel to resolve the intrinsic fast signal rise time of MMCs [1, 5], employ inductive chokes within the input circuit [3] that would strongly affect the signal size of MMCs [1], and do not provide impedance matching of the input circuitry to existing MMCs [1, 6]

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Summary

Introduction

Metallic magnetic calorimeters (MMC) offer excellent sensor properties for various applications. A promising solution for reading out such large MMC-based detector arrays is microwave SQUID multiplexing [3, 4] This technique has proven to provide high multiplexing factors for transition edge sensor arrays. It has not been used for reading out metallic magnetic calorimeters within a real application due to a number of reasons: Existing microwave SQUID multiplexers that have been developed for TES readout, for example, do not provide enough bandwidth per channel to resolve the intrinsic fast signal rise time of MMCs [1, 5], employ inductive chokes within the input circuit [3] that would strongly affect the signal size of MMCs [1], and do not provide impedance matching of the input circuitry to existing MMCs [1, 6].

Microwave SQUID Multiplexing
Software‐Defined Radio Hardware
Channelization Cascade
Findings
Summary
Full Text
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