PhasePApy: A Robust Pure Python Package for Automatic Identification of Seismic Phases

Python(编程语言) 引用 偶像 图书馆学 下载 计算机科学 地质调查 情报检索 地质学 万维网 地球物理学 程序设计语言 古生物学
作者
Chen Chen,A. A. Holland
出处
期刊:Seismological Research Letters [Seismological Society of America]
卷期号:87 (6): 1384-1396 被引量:59
标识
DOI:10.1785/0220160019
摘要

Research Article| August 31, 2016 PhasePApy: A Robust Pure Python Package for Automatic Identification of Seismic Phases Chen Chen; Chen Chen aConocoPhillips School of Geology and Geophysics, University of Oklahoma, Norman, Oklahoma 73019 U.S.A.c.chen@ou.edu Search for other works by this author on: GSW Google Scholar Austin A. Holland Austin A. Holland bAlbuquerque Seismological Laboratory, U.S. Geological Survey, PO Box 82010, Albuquerque, New Mexico 87198 U.S.A. Search for other works by this author on: GSW Google Scholar Author and Article Information Chen Chen aConocoPhillips School of Geology and Geophysics, University of Oklahoma, Norman, Oklahoma 73019 U.S.A.c.chen@ou.edu Austin A. Holland bAlbuquerque Seismological Laboratory, U.S. Geological Survey, PO Box 82010, Albuquerque, New Mexico 87198 U.S.A. Publisher: Seismological Society of America First Online: 14 Jul 2017 Online Issn: 1938-2057 Print Issn: 0895-0695 © 2016 by the Seismological Society of America Seismological Research Letters (2016) 87 (6): 1384–1396. https://doi.org/10.1785/0220160019 Article history First Online: 14 Jul 2017 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Search Site Citation Chen Chen, Austin A. Holland; PhasePApy: A Robust Pure Python Package for Automatic Identification of Seismic Phases. Seismological Research Letters 2016;; 87 (6): 1384–1396. doi: https://doi.org/10.1785/0220160019 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietySeismological Research Letters Search Advanced Search ABSTRACT We developed a Python phase identification package: the PhasePApy for earthquake data processing and near‐real‐time monitoring. The package takes advantage of the growing number of Python libraries including Obspy. All the data formats supported by Obspy can be supported within the PhasePApy. The PhasePApy has two subpackages: the PhasePicker and the Associator, aiming to identify phase arrival onsets and associate them to phase types, respectively. The PhasePicker and the Associator can work jointly or separately. Three autopickers are implemented in the PhasePicker subpackage: the frequency‐band picker, the Akaike information criteria function derivative picker, and the kurtosis picker. All three autopickers identify picks with the same processing methods but different characteristic functions. The PhasePicker triggers the pick with a dynamic threshold and can declare a pick with false‐pick filtering. Also, the PhasePicker identifies a pick polarity and uncertainty for further seismological analysis, such as focal mechanism determination. Two associators are included in the Associator subpackage: the 1D Associator and 3D Associator, which assign phase types to picks that can best fit potential earthquakes by minimizing root mean square (rms) residuals of the misfits in distance and time, respectively. The Associator processes multiple picks from all channels at a seismic station and aggregates them to increase computational efficiencies. Both associators use travel‐time look up tables to determine the best estimation of the earthquake location and evaluate the phase type for picks. The PhasePApy package has been used extensively for local and regional earthquakes and can work for active source experiments as well. You do not have access to this content, please speak to your institutional administrator if you feel you should have access.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
demker发布了新的文献求助30
刚刚
1秒前
燕子发布了新的文献求助20
1秒前
自由绮兰发布了新的文献求助10
2秒前
123123发布了新的文献求助10
3秒前
3秒前
drleslie完成签到,获得积分10
4秒前
5秒前
天边一阵风完成签到,获得积分10
6秒前
7秒前
drleslie发布了新的文献求助30
7秒前
DL_zhai完成签到,获得积分10
8秒前
8秒前
8秒前
10秒前
11秒前
治治治发布了新的文献求助20
11秒前
Janzen完成签到,获得积分10
11秒前
文艺芷蕊发布了新的文献求助10
11秒前
小刺猬完成签到,获得积分10
12秒前
佟鹭其发布了新的文献求助10
12秒前
12秒前
12秒前
RHK完成签到,获得积分10
13秒前
putaoyou34关注了科研通微信公众号
14秒前
晴天发布了新的文献求助10
17秒前
xjc完成签到,获得积分10
18秒前
叶海完成签到 ,获得积分10
18秒前
the8完成签到,获得积分10
18秒前
BW发布了新的文献求助10
19秒前
笨笨的白梅完成签到,获得积分10
20秒前
21秒前
xjc发布了新的文献求助10
21秒前
止水涵星完成签到,获得积分20
22秒前
demker完成签到,获得积分10
23秒前
阔达的涵梅完成签到,获得积分10
23秒前
24秒前
24秒前
24秒前
斯文败类应助LLL采纳,获得10
24秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场现状调查及投资机会研判报告 1000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场规模及竞争格局分析报告 1000
模型平均及其应用 900
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
作者名:Kristopher P. Plain,悉尼大学的,目前只能查到其四篇论文,想找到其博士论文 550
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7336008
求助须知:如何正确求助?哪些是违规求助? 8949888
关于积分的说明 18992053
捐赠科研通 6989525
什么是DOI,文献DOI怎么找? 3217786
关于科研通互助平台的介绍 2383841
邀请新用户注册赠送积分活动 2197858