Optical timekeeping in the field

Optical clocks based on molecular iodine have emerged as an exciting and enabling technology for real world applications, providing a new performance class to the commercial market, and new opportunities for deployment of precision timing systems into the field. Recent field demos with rackmount iodine clocks will be highlighted, exploring the reach of these high performance tools through operation and evaluations in harsh mobile environments. Use in VLBI research with the Event Horizon Telescope collaboration demonstrates that the unique combination of high-performance and fieldability the iodine clocks offer allows immediate adoption and potential improvements in fundamental science applications such as radio astronomy.

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Publication Details

Published
2025-03-19
DOI
https://doi.org/10.1117/12.3053395
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
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article

Optical timekeeping in the field

Jonathan Roslund, J. R. Abo-Shaeer, Andrew V. Dowd, Frank Roller et al.
Neural Networks and Reservoir Computing
article

Optical timekeeping in the field

Jonathan Roslund, J. R. Abo-Shaeer, Andrew V. Dowd, Frank Roller, Abijith S. Kowligy, Akash Rakholia, Parth Patel, Evan Atchison, Guthrie B. Partridge, Martin M. Boyd, A. Cingöz, Paul Carney, Daniel Sheredy, M. P. Ledbetter, Evan Popp
article en

Abstract

Optical clocks based on molecular iodine have emerged as an exciting and enabling technology for real world applications, providing a new performance class to the commercial market, and new opportunities for deployment of precision timing systems into the field. Recent field demos with rackmount iodine clocks will be highlighted, exploring the reach of these high performance tools through operation and evaluations in harsh mobile environments. Use in VLBI research with the Event Horizon Telescope collaboration demonstrates that the unique combination of high-performance and fieldability the iodine clocks offer allows immediate adoption and potential improvements in fundamental science applications such as radio astronomy.

Vector (United States) (US), Vector Oncology (United States) (US)
Openalex Percentile: Top 98%
Neural Networks and Reservoir Computing
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