Instrument Response Removal and the 2020 MLg 3.1 Marlboro, New Jersey, Earthquake

地震计 地震灾害 计算机科学 工作流程 地震模拟 加速度 反褶积 地震学 地质学 算法 物理 数据库 经典力学
作者
Alexander L. Burky,J. C. E. Irving,Frederik J. Simons
出处
期刊:Seismological Research Letters [Seismological Society of America]
卷期号:92 (6): 3865-3872 被引量:3
标识
DOI:10.1785/0220210118
摘要

Abstract To better understand earthquakes as a hazard and to better understand the interior structure of the Earth, we often want to measure the physical displacement, velocity, or acceleration at locations on the Earth’s surface. To this end, a routine step in an observational seismology workflow is the removal of the instrument response, required to convert the digital counts recorded by a seismometer to physical displacement, velocity, or acceleration. The conceptual framework, which we briefly review for students and researchers of seismology, is that of the seismometer as a linear time-invariant system, which records a convolution of ground motion via a transfer function that gain scales and phase shifts the incoming signal. In practice, numerous software packages are widely used to undo this convolution via deconvolution of the instrument’s transfer function. Here, to allow the reader to understand this process, we start by taking a step back to fully explore the choices made during this routine step and the reasons for making them. In addition, we introduce open-source routines in Python and MATLAB as part of our rflexa package, which identically reproduce the results of the Seismic Analysis Code, a ubiquitous and trusted reference. The entire workflow is illustrated on data recorded by several instruments on Princeton University campus in Princeton, New Jersey, of the 9 September 2020 magnitude 3.1 earthquake in Marlboro, New Jersey.

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