GBT Data Visualization - visually interacting with the ungridded data from the GBT.
- aips++/dish relied on the viewer and msplot. See a brief mention in the GBT dish cookbook.
- casa viewer should be similar to the aips++ viewer - see chapter 7 of the casa cookbook
- Starlink's GAIA may be worth investigating, although it's primarily an image display tool. See also the PLASTIC interface that GAIA uses. There may be other plastic-aware tools that should be looked at listed off of the plastic site.
- Parkes Multibeam relies either karma kvis viewer or the aips++ viewer to do waterfall plots. Two additional online programs at Parkes have also been recommended as having useful features: MBTP and SPD, described here
- Ron Maddalena recommends looking at these tools out of the CfA: Power Point presentation, follow the other "Visual Display" and "IIC" links here
Summer Student Project
- Design Tool for Display of and Interaction with Large Spectral-Line GBT Data Sets
- Delia Mocanu, of New Mexico Tech
Design Tool for Display of and Interaction with Large Spectral-Line GBT Data Sets
Instrumentation efforts at the Robert C. Byrd Green Bank Telescope (GBT) are increasingly focused on multi-pixel receivers as well as wide-bandwidth backends for data acquisition, producing large quantities of spectral-line data during an observation. Current GBT data analysis tools lack the ability to display and interact with these large data sets as a whole. For example, viewing large chunks of data simultaneously can be useful in identifying problems in the data (e.g. RFI) as well as discerning structure within the dataset. In this project, the student will start by conducting a survey of the existing solutions to similar problems at other radio telescopes (e.g. aips++/CASA, JCMT, Arecibo). The survey must identify the I/O requirements necessary to support a solution appropriate for GBT data analysis. Using the survey, the student will identify candidate tools for reuse at the GBT. If time allows, the student will create a prototype tool, integrating one or more candidate solutions, that does the basic display, zoom and pan operations on a GBT dataset. Then the student will perform a gap analysis comparing the performance of the prototype tool against the existing GBT data I/O functionality.
- 25 Mar 2008