Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Lightwave Technology
  • Vol. 42,
  • Issue 7,
  • pp. 2522-2531
  • (2024)

High Precision Radiation Induced Attenuation Measurements Enabled by Improved Phase Shifted Fiber Loop Ring-Down System

Not Accessible

Your library or personal account may give you access

Abstract

Radiation measurement is critical in ensuring astronauts' safety during space exploration. Although various radiation monitoring techniques have been developed, achieving high-precision measurements remains a significant challenge. This study proposes an improved phase shift fiber loop ring-down (PS-FLRD) system for measuring radiation levels. To enhance the accuracy of the PS-FLRD model, we have constructed a more precise model under discrete conditions, which reduces the fitting error of the phase versus loss equation. Moreover, we have implemented a dual optical path design to mitigate errors arising from environmental changes and ensure the long-term stability of the radiation measurement process. As a result of these improvements, our system can achieve high resolution and low uncertainty, with values of 80 $\mu$ dB and 13 mdB, respectively. This level of precision enables the detection of loss variations of 1 m erbium-doped fiber at a radiation dose of 1 Gy, which is one to two orders of magnitude higher than that of commercial instruments. Our proposed system is highly beneficial for measuring the exposure of astronauts to the radiation environment, providing a strong safety guarantee for future surface exploration of the moon and Mars.

PDF Article

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.