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\begin{document}
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\title{Accurate Magnitude and Stress Drop using the Spectral Ratios Method
Applied to Distributed Acoustic Sensing}



\author[1]{Itzhak Lior}%
\affil[1]{Institute of Earth Sciences, The Hebrew University, Jerusalem, Israel}%


\vspace{-1em}



  
  \date{May 07, 2026}


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\begin{abstract}
The reliable estimation of earthquake magnitude and stress drop are key
in seismology. The novel technology of distributed acoustic sensing
(DAS) holds great promise for source parameter inversion owing to the
measurements' high spatial density. In this study, I demonstrate the
robustness of DAS for magnitude and stress drop estimation using the
empirical Green's function deconvolution method. This method is applied
to 9 co-located earthquakes recorded in Israel following the 2023 Turkey
earthquakes. Spectral ratios were stacked along the fiber, and fitted
with a relative Boatwright source spectral model. Excellent fits were
obtained even for similar sized earthquakes. Stable seismic moments and
stress drops were calculated assuming the moment of one earthquake is
known. DAS derived estimates were found to be more stable and reliable
than those obtained using a dense accelerometer network. The results
demonstrate the great potential of DAS for source studies.%
\end{abstract}%



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