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The Prime-Cam instrument on the Fred Young Submillimeter Telescope (FYST) is expected to be the largest deployment of millimeter and submillimeter sensitive kinetic inductance detectors to date. To read out these arrays efficiently, a…

The Habitable Worlds Observatory (HWO), a nextgeneration ultraviolet/optical/infrared space telescope, will require detector technologies capable of supporting substantially larger pixel-count arrays than those flown on previous missions.…

The Fred Young Submillimeter Telescope (FYST), on Cerro Chajnantor in the Atacama desert of Chile, will conduct wide-field and small deep-field surveys of the sky with more than 100,000 detectors on the Prime-Cam instrument. Kinetic…

An FPGA based digital signal processing (DSP) system for biasing and reading out multiplexed bolometric detectors for mm-wavelength telescopes is presented. This readout system is being deployed for balloon-borne and ground based cosmology…

Instrumentation and Detectors · Physics 2009-05-13 Matt Dobbs , Eric Bissonnette , Helmuth Spieler

The Prime-Cam instrument of the Fred Young Submillimeter Telescope (FYST) at the CCAT Observatory will conduct sensitive millimeter to submillimeter surveys for a range of astrophysical and cosmological sciences. Prime-Cam will use kinetic…

Building upon existing signal processing techniques and open-source software, this paper presents a baseline design for an RF System-on-Chip Frequency Division Multiplexed readout for a spatio-spectral focal plane instrument based on low…

Instrumentation and Methods for Astrophysics · Physics 2023-02-10 Colm Bracken , Eoin Baldwin , Gerhard Ulbricht , Mario de Lucia , Tom Ray

SuperSpec is an ultra-compact spectrometer-on-a-chip for millimeter and submillimeter wavelength astronomy. Its very small size, wide spectral bandwidth, and highly multiplexed readout will enable construction of powerful multibeam…

Historically employed spectroscopic architectures used for large field of view mapping spectroscopy in millimetere and sub-millimetre astronomy suffer from significant drawbacks. On-chip filterbank spectrometers are a promising technology…

Instrumentation and Methods for Astrophysics · Physics 2026-04-14 Chris S. Benson , Peter S. Barry , Patrick Ashworth , Harry Gordon-Moys , Kirit S. Karkare , Izaak Morris , Gethin Robson

Digital signal processing (DSP) is supporting novel in-field applications of optical interferometry, such as in laser ranging and distributed acoustic sensing. While the highest performances are achieved with field-programmable gated arrays…

Signal Processing · Electrical Eng. & Systems 2023-08-08 Simone Donadello , Elio K. Bertacco , Davide Calonico , Cecilia Clivati

SuperSpec is a novel on-chip spectrometer we are developing for multi-object, moderate resolution (R = 100 - 500), large bandwidth (~1.65:1) submillimeter and millimeter survey spectroscopy of high-redshift galaxies. The spectrometer…

SPT-3G+ is the next-generation camera for the South Pole Telescope (SPT). SPT is designed to measure the cosmic microwave background (CMB) and the mm/sub-mm sky. The planned focal plane consists of 34,000 microwave kinetic inductance…

Instrumentation and Methods for Astrophysics · Physics 2025-03-25 E. S. Martsen , P. S. Barry , B. A. Benson , K. R. Dibert , K. N. Fichman , T. Natoli , M. Rouble , C. Yu

Advances in astronomy are intimately linked to advances in digital signal processing (DSP). This special issue is focused upon advances in DSP within radio astronomy. The trend within that community is to use off-the-shelf digital hardware…

Instrumentation and Methods for Astrophysics · Physics 2017-02-03 Danny C. Price , Jonathon Kocz , Matthew Bailes , Lincoln J. Greenhill

We outline the development of the readout software for the Prime-Cam and Mod-Cam instruments on the CCAT Fred Young Submillimeter Telescope (FYST), primecam_readout. The instruments feature lumped-element kinetic inductance detector (LEKID)…

Development of high-speed, spatial-mapping spectrometers in the millimeter and far-infrared frequencies would enable entirely new research avenues in astronomy and cosmology. An "on-chip" spectrometer is one such technology that could…

Instrumentation and Methods for Astrophysics · Physics 2025-11-05 Matthew A. Koc , Jason Austermann , James Beall , Johannes Hubmayr , Joel N. Ullom , Michael Vissers , Jordan Wheeler

From generation to generation, the maximum RF frequency and sampling rate of the integrated data converters in RF system-on-chip (RFSoC) family devices from Xilinx increases significantly. With the integrated digital mixers and up and down…

Instrumentation and Methods for Astrophysics · Physics 2023-09-19 Chao Liu , Zeeshan Ahmed , Shawn W. Henderson , Ryan Herbst , Larry Ruckman

The Xilinx ZCU111 Radio Frequency System on Chip (RFSoC) is a promising solution for reading out large arrays of microwave kinetic inductance detectors (MKIDs). The board boasts eight on-chip 12-bit / 4.096 GSPS analogue-to-digital…

Instrumentation and Methods for Astrophysics · Physics 2023-01-24 Eoin Baldwin , Mario De Lucia , Colm Bracken , Gerhard Ulbricht , Oisin Creaner , Jack Piercy , Tom Ray

Ultra-light dark matter candidates, such as axions and dark photons, particularly within the mass range of $\mu$eV to meV, have garnered significant research interest. However, the effectiveness of existing experiments is often hindered by…

Instrumentation and Detectors · Physics 2025-01-22 Hiroki Takeuchi , Junya Suzuki , Shunsuke Adachi , Osamu Tajima

Over the past decade, kinetic inductance detectors (KIDs) have emerged as a viable superconducting technology for astrophysics at millimeter and submillimeter wavelengths. KIDs spanning 210 - 850 GHz across seven instrument modules will be…

Mod-Cam is a first light and commissioning instrument for the CCAT-prime project's six-meter aperture Fred Young Submillimeter Telescope (FYST), currently under construction at 5600 m on Cerro Chajnantor in Chile's Atacama Desert.…

The rapid expansion of generative AI drives unprecedented demands for high-performance computing. Training large-scale AI models now requires vast interconnected GPU clusters across multiple data centers. Multi-scale AI training and…

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