Atlas is an interactive data processing package providing the user with the tools to extract, locate and organize seismic data. Atlas is intended for initial data processing providing tools for event waveform review, location, spectral analysis and filtering including instrument response corrections. Atlas is written in Java and is currently available for the Windows XP and Linux operating systems. Atlas is unique in being able to directly interface and recover data from both Nanometrics NAQS Server ringbuffers and Earthworm 6.0 Oracle database systems. When used with Earthworn, Atlas is able to retrieve data from the Oracle data base and edit and refine event information and save the data back to the data base. Atlas is also able to delete events from the database making it ideal for waveform review and database management.
Client server design with multiple concurrent access to waveform data Atlas is a true client-server system in which multiple instances can extract data from NAQS ringbuffers simultaneously, working on the same – or different events in its Oracle database. Using the intuitive graphical interface with waveform display and event selection features, users can navigate quickly and efficiently through the data marking phases and include or exclude traces based on the quality of data. Interactive map display facilitates location refinement
Atlas’ integrated map display allows the user to display events on the map of his or her choice. Maps can be defined as basic or detailed as desired and the user can import maps into the program.
The map display used is an integral part of the location process. Users are able to view solutions on the map along with time residual, first motion and other key data.
Waveform filtering and instrument response removalA filter design tablet allows users to design high pass, low pass and instrument response filters by entering either filter coefficients or poles and zeros. Filter designs can be saved and reused. When working with Nanometrics data or SEED files Atlas will read the channel response data and generate the required filters to de-convolve the instrument response. |
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Last Updated on Thursday, 20 December 2007 06:40 |