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Gravitational waves

Identification and Monitoring of Scattered Light Noise Sources in Laser Interferometers with Adaptive Algorithms

Strategic Insights

— 1 min read

Gravitational waves have been a topic of intense research in recent years, and scientists have made significant progress in detecting and studying these ripples in space-time. However, detecting gravitational waves requires extremely sensitive instruments, such as LIGO and Virgo, which need to be equipped with sophisticated noise reduction systems. Researchers from the University of Urbino Carlo Bo have developed an innovative method to identify and monitor scattered light noise sources in laser interferometers using adaptive algorithms. This breakthrough has the potential to improve the sensitivity of gravitational wave detectors and lead to more accurate astrophysical source localization.

Key Takeaways:

  • The researchers developed a method to identify and monitor scattered light noise sources in laser interferometers using adaptive algorithms.
  • The adaptive algorithms used are empirical mode decomposition and time-varying filter EMD.
  • The monitoring system was successfully applied to both Virgo and LIGO data, and a large-scale analysis was carried out on Virgo data to improve the performances of the monitoring system.
  • The correlation obtained was high, suggesting that adaptive decomposition can be used to precisely subtract scattering, improving parameter estimation and sky localization of the astrophysical source.
  • The research was funded by several organizations, including Istituto Nazionale di Fisica Nucleare (INFN), Centre National de la Recherche Scientifique (CNRS), and the European Union (EU).
  • The researchers mentioned that localization of scattering culprits by experimental means can be difficult and time-consuming, but adaptive algorithms can provide a more efficient solution.
  • The study demonstrates the potential of adaptive algorithms in improving the sensitivity of gravitational wave detectors.

Statistics:

  • The researchers used a daily monitoring system to track scattering sources, which was successfully applied to both Virgo and LIGO data.
  • The large-scale analysis carried out on Virgo data led to a high value of correlation (92.5%), suggesting the effectiveness of the adaptive decomposition method in subtracting scattering.
  • The study was funded by a total of 16 organizations, including national and international research institutions and funding agencies.
  • The research was published in the Journal of Applied Physics (Vol. 138, No. 9, 2025).

Sources:

  • NewsRx LLC (2025). New Applied Physics Data Have Been Reported by Investigators at University of Urbino Carlo Bo (Identification and Monitoring of Scattered Light Noise Sources In Laser Interferometers With Adaptive Algorithms). Journal of Physics Research. October 21, 2025; p 251.
  • Journal of Applied Physics (2025). Identification and Monitoring of Scattered Light Noise Sources In Laser Interferometers With Adaptive Algorithms. Journal of Applied Physics, 2025;138(9).

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