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UVIS Data Visualization
UVIS Team Meeting
Braunschweig, Deutschland
June 18, 2012
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What is Scientific Data Visualization
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The Era of Big Data
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Multivariate analyses
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Complex relationships
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Terabyte+ library sizes.
LASP is taking a three pronged approach:
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Education and Outreach
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Mission Operations and Planning
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Science
Potential for interaction and collaboration between the three branches.
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Education and Outreach
Obvious need for high quality images and
animations for public outreach.
• E/PO image and
animations require
specialized software and
skills.
• Resource intensive
• Slow turn around
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Mission Operations
Observation sequencing and planning.
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LASP developed operations software
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OASIS-CC
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CSTOL
Feedback loop with Science planning and analysis
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What observations have been made already?
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What was learned from those observations?
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What problems occurred?
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What feedback from the scientific end-users?
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Science
Analysis and exploration of large data sets.
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Cassini UVIS
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171 orbits
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84 Titan fly-bys
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19 Enceladus fly-bys
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Ring observations, Saturn Observations, Icy-moons
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Other instrument observations
Other missions
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MAVEN (All instruments)
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Level 0: 300 Mb/Week
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Level 1: 5 Gb/Week
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Practical Aspects
How to implement the needs and desires of users.
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Software Language and Environment
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IDL?
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Python?
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Unity?
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Processing?
Common core library?
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Central repository of routines and tools that can be easily
modified for use across missions.
Interface with SPICE
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Cassini UVIS Visualization Tools
Re-inventing the wheel.
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Attempting to integrate data
from multiple instruments
(UVIS and ISS)
Data exploration done on a case-by-case
Basis with little or no coordination
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Titan example
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IDL direct graphics (2D angular projection
of RA,DEC)
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Stars easy
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Other bodies difficult?
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View is from observer at time of
observation
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IDL object graphics (true 3D)
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How to show stars?
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How to show other bodies?
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Allows arbitrary views
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Shaded volumes?
+ Aurora
FUV2009_280_19_06_03_UVIS_119SA_SWAURPTG003_CAPS_images
+ Integration of multiple datasets
 High
spatial
resolution
imaging
Imaging
 High
Spectroscop
y
spectral
resolution
spectroscopy
 Multiple
scans,
different
integration
times, different
cadences
+ Data issues
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PDS data contains minimal geometry (a few position vectors)
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The UVIS team has developed IDL tools to perform calibration and
attach detailed pointing info to individual files
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Manual processing, labor intensive
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IDL routines are complex, not easily modified, and can be unstable
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Management of SPICE kernels is cumbersome
Data mining, discovery very difficult
+ Visualization requirements
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Minimum:
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Desired:
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Show the target body and projected field-of-view from multiple scans
3D manipulation for inspection
Simplicity – user abstraction from SPICE, openGL calls, etc.
Show bodies other than the target (planets, rings, moons, stars, sun)
Show data from multiple remote sensing instruments
Data searching to enable discovery
Flexibility – allow for features to be added in a timely manner
Wishlist:
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Incorporate theoretical models (magnetic field, charged particle flux, etc)
Extraction of combined datasets for synthesis
 for example, a complete UV-VIS-NIR reflectance spectrum of a satellite
feature from three instruments
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Data Mining Techniques
Potential new frontier in data analysis
 Self-organizing
Maps
 Automated
data discovery method that can
extract patterns and relationships within very
large data sets without a priori knowledge or
assumptions.
 Pattern
recognition
 Anomaly
 Many
detection
others . . . .
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Other Similar Projects
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Jet Propulsion Laboratory
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Cassie
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Eyes on the Solar System
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http://solarsystem.nasa.gov/eyes/
ISIS
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http://saturn.jpl.nasa.gov/multimedia/CASSIE/cassini.html
USGS Image processing and display environment
Ephemeris
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Independent Processing-based satellite location example
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Additions to the Wishlist?
LASP Visualization project is in its initial stages.
Need input from potential users.
Does this sounds like a useful tool?
What functions do you see using most?
What do you want the tool to do?