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Seismicmoment tensors and estimated uncertainties in southern Alaska

机译:阿拉斯加南部的地震矩张量和不确定性估计

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We present a moment tensor catalog of 106 earthquakes in southern Alaska, and we perform a conceptually based uncertainty analysis for 21 of them. For each earthquake, we use both body waves and surface waves to do a grid search over double couple moment tensors and source depths in order to find the minimum of the misfit function. Our uncertainty parameter or, rather, our confidence parameter is the average value of the curve p(V), where p(V) is the posterior probability as a function of the fractional volume V of moment tensor space surrounding the minimum misfit moment tensor. As a supplemental means for characterizing and visualizing uncertainties, we generate moment tensor samples of the posterior probability. We perform a series of inversion tests to quantify the impact of certain decisions made within moment tensor inversions and to make comparisons with existing catalogs. For example, using an L1 norm in the misfit function provides more reliable solutions than an L2 norm, especially in cases when all available waveforms are used. Using body waves in addition to surface waves, as well as using more stations, leads to the most accurate moment tensor solutions.
机译:我们提供了阿拉斯加南部106处地震的矩张量目录,并对其中21处进行了基于概念的不确定性分析。对于每次地震,我们都使用体波和面波在双偶合矩张量和震源深度上进行网格搜索,以找到失配函数的最小值。我们的不确定性参数,或更确切地说,我们的置信度参数是曲线p(V)的平均值,其中p(V)是后概率,它是围绕最小失配矩张量的矩张量空间的分数体积V的函数。作为表征和可视化不确定性的补充手段,我们生成后验概率的矩张量样本。我们执行一系列反演测试,以量化矩张量反演中做出的某些决策的影响,并与现有目录进行比较。例如,在失配函数中使用L1范数比L2范数提供更可靠的解决方案,尤其是在使用所有可用波形的情况下。除了使用表面波之外,还使用体波以及使用更多的站,将导致最准确的力矩张量解。

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