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Aled Cuda

at Univ. of California, Santa Barbara

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Proceedings Article | 28 August 2024 Poster

MKIDGen3: a scalable readout for next-generation kilopixel UVOIR MKIDs

John Bailey, Jennifer Smith, Benjamin Mazin, Gustavo Cancelo, Leandro Stefanazzi, Aled Cuda, Nicholas Zobrist, Kenneth Treptow

Proceedings Volume PC13103, PC1310312 (2024) https://doi.org/10.1117/12.3020259

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We introduce MKIDGen3, a scalable and cost-efficient RFSoC-based readout system for UVOIR-sensitive Microwave Kinetic Inductance Detectors (MKIDs). MKIDGen3 not only doubles readout bandwidth, but also reduces power consumption and costs by 80% and 50%, respectively. The system features a central control node which facilitates array-level setup, data storage, image synthesis, and UI server functionality connected to a cluster of of low-cost RFSoC boards, each responsible for a 2 kilopixel sub-array. This open-source platform is tailored for smaller research groups lacking dedicated FPGA staff, offering ease of maintenance and adaptability. A notable innovation in MKIDGen3 is its system-level performance simulator, designed to eliminate guesswork in the development of optical MKID readouts and facilitating informed decision-making for DSP and device setup algorithms, a significant advancement. We discuss the development and demonstrated performance of the readout and simulator, highlighting their application to detectors in the laboratory and on sky.

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