This course will introduce its participants to the foundations of seismic data analysis for the next generation of geoscientists. Its aim is to convey best practices for accessing and downloading large datasets, jump start familiarity with common processing, analysis, and visualization tools, and impart a framework to develop more effective handling of data from large seismic datasets, such as the USArray. No previous experience in these topics is required, though a basic understanding in seismology, as well as familiarity with programming and the unix operating environment are helpful and preferred. This course is geared mostly towards incoming graduate students.
Participants are selected by the course instructors based on the information provided in their applications. Lodging, most meals, and travel expenses up to a certain limit will be covered for selected applicants by financial support from the National Science Foundation through the "Seismological Facilities for the Advancement of Geoscience and EarthScope" award to IRIS.
Please note: International participants are welcome to apply, but are responsible for their expenses and logistics if traveling from outside of the U.S. Attendees from previous USArray Short Courses should not apply to this course. For more information, contact Danielle Sumy.
The course will be held on the campus of Northwestern University, 45 minutes north of downtown Chicago along Lake Michigan. Guidance regarding travel and lodging will be conveyed directly to accepted participants.
Pre-Course Materials: Exercises will be performed over Virtual Machine with built-in tutorials and information to work on a set of lessons relating to Unix, GMT, and SAC – Stefany
Day 1: Introduction to IRIS and USArray (Key Research Tools) |
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7:20 am |
Meet in Hotel Lobby (Hilton Orrington)
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7:40 am |
BREAKFAST: Technological Institute on Northwestern campus
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8:10 am |
Depart for Library
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8:30 am |
Welcome and Logistics – Danielle, Rob and Suzan
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9:00 am |
Overview of IRIS and USArray: the facility, data, and science – Justin
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9:45 am |
Installing common programs/applications on a research computer – Rob
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10:15 am |
Unix/shell scripting/GMT – Stefany
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11:00 am |
LUNCH
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12:00 pm |
Advanced Unix/shell scripting/GMT (continued) – Stefany
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1:30 pm |
Data Services Part 1: Data and Data Access - Danielle and Chuck
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3:00 pm |
BREAK
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3:30 pm |
SAC/MATLAB + research vignette – Rob and Justin
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5:00 pm |
Review and discuss topics covered, expectations, concerns, etc. Introduction of Concept Map - Stefany
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5:30 pm |
ADJOURN
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6:30 pm |
Cash Bar and Introductions (Mt. Everest Restaurant, 630 Church Street)
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7:30 pm |
DINNER
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Day 2: Accessing data, how to approach coding, and structural analyses |
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7:30 am |
BREAKFAST
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8:15 am |
Depart for Library
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8:30 am |
Data Services Part 2: Data Access Tools and Data Products
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9:30 am |
Intro to Python + Research Vignette – Erin
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11:30 am |
LUNCH
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12:30 pm |
AIMBAT (pick P-wave delay times) + research vignette – Suzan
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2:00 pm |
FuncLab (analyze receiver functions) – Rob
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3:00 pm |
BREAK
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3:30 pm |
SplitLab (measure shear wave splitting) + research vignette – Meghan
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5:00 pm |
Review and discuss topics covered, and organize into teams
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Day 3: Waveform analyses and how to collect and utilize new data |
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7:30 am |
BREAKFAST at hotel
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8:15 am |
Depart for Library
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8:30 am |
Basics of Coding – Chuck
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9:45 am |
SAC waveform analysis – Stefany
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11:00 am |
Working with instrument responses – Suzan
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12:00 pm |
LUNCH
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1:00 pm |
Database approach + research vignette – Heather
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3:00 pm |
BREAK
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3:30 pm |
Students organize into project teams, select experiment/stations, setup data grabs, begin analyses, etc. In several smaller groups during this session, conduct seismic station demonstration – Justin
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5:30 pm |
Review and discuss topics covered ADJOURN
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Day 4: Broader considerations and project work day |
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7:30 am |
BREAKFAST at hotel
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8:15 am |
Depart for Library
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8:30 am |
Seismic stations and Data – Justin Sweet
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9:30 am |
Active source data processing + research vignette – Marianne
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12:00 pm |
LUNCH
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1:00 pm |
Tips for creating and delivering effective powerpoint presentations – Danielle Credit: Scott St. George, University of Minnesota
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1:30 pm |
Work on projects
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3:00 pm |
BREAK
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3:30 pm |
Work on projects
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5:30 pm |
Final advice on presentations
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7:00 pm |
Celebratory Dinner (Todoroki, 526 Davis St.)
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Day 5: Group Presentations and Summary |
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7:30 am |
Breakfast at hotel
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8:15 am |
Depart for library
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8:30 am |
Group presentations (data, methods, observations, analysis, results: 15-20 minutes per group, 8 groups)
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11:00 am |
LUNCH (and group photo)
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12:15 pm |
Surveys – Danielle
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1:30 pm |
Wrap-up discussion and summary ADJOURN
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There are currently no materials available for download.
Material from agenda
Notice The application period for this course closed on Mon, May 16, 2016 - 11:59:00 PM.
