Scientific Visualization in the Classroom - PowerPoint PPT Presentation

1 / 18
About This Presentation
Title:

Scientific Visualization in the Classroom

Description:

Morehead Planetarium and Science Center, UNC-CH ... Polly Baker, Visualization Scientist. Scott Lathrop, Computational Science Educator ... – PowerPoint PPT presentation

Number of Views:49
Avg rating:3.0/5.0
Slides: 19
Provided by: mos797
Category:

less

Transcript and Presenter's Notes

Title: Scientific Visualization in the Classroom


1
Scientific Visualization in the Classroom
Bob Gotwals Morehead Planetarium and Science
Center UNC-Chapel Hill
2
Team
  • Morehead Planetarium and Science Center, UNC-CH
  • Bob Gotwals, Computational Science Educator,
    co-PI
  • Garrett Love, Computational Scientist
  • Lindsay Husted, UNC-CH Undergraduate Intern
  • East Carolina University
  • Ken Flurchik, Computational Scientist
  • NCSA
  • Polly Baker, Visualization Scientist
  • Scott Lathrop, Computational Science Educator

3
Why this technology?
W
OW!
Scientific visualization is very engaging for
scientists and lay persons alike
W
HAT?
Scientific visualization allows for both surface
and deep analysis of complex scientific phenomenon
Scientific visualization is an excellent tool for
communication of results
W
HO CARES?
4
Two Approaches
Visualization (science education)
and/or
(Visualization science) education
5
Three Strategies
  • Use existing visualizations
  • Modify existing visualizations
  • Create visualizations from scratch

6
Guiding Principles Controlling the T
  • Technologies
  • Scientific Visualization
  • Communications and Collaboration
  • Techniques
  • Data acquisition, filtering, rendering
  • Collaboration techniques
  • Tools
  • Visualization software
  • Communications tools

7
Technologies
Science the study of how nature behaves
Science the study of nature

S c i V I z
Observational Science
Experimental Science
Theoretical Science
Computational Science
8
Technologies
  • Scientific Visualization
  • SciVis is graphical representation of data for
    the purpose of insight
  • SciVis is NOT presentation graphics or computer
    graphics
  • General paradigm
  • Data acquisition --gt data filtering --gt data
    rendering
  • Working assumption process and product

9
Techniques
  • Data identification and acquisition
  • Data analysis and filtering
  • Data rendering
  • Data choices
  • Color
  • Perspectives
  • Data subsets
  • Shapes

10
Tools
  • Excel
  • Gnuplot
  • AVS Express
  • Other tools
  • Discipline-specific
  • Viewers
  • Java applets

11
Data Acquisition
  • Sources
  • Empirical data collection
  • Laboratory experiments
  • Remote sensing devices
  • Computational models
  • Endproduct of numerical experiments

12
Who Cares?
  • 21st Century Science The Grand Challenges
  • Molecular and structural biology
  • Cosmology
  • Environmental Hydrology
  • Warfare and Survivability
  • Chemical Engineering and electronic structure
  • Weather prediction
  • Nanomaterials
  • Solve any PART of one of these problems, and .

13
You might win THIS.
14
Todays Problem - Chemistry
  • How closely must two atoms be to form a bond?
  • Li - lithium
  • H - hydrogen
  • form a new molecule - LiH, or lithium hydride
  • Procedure
  • Understand the science
  • Understand the model and the assumptions
  • Create an input file
  • Run the model
  • Analyze and filter the data
  • Visualize the data

15
Input file
  • CONTRL SCFTYPRHF END
  • BASIS GBASISSTO NGAUSS6 END
  • DATA
  • LiH for plot. . .
  • CNV 4
  • LITHIUM 3.0 0.0 0.0 -1.00
  • HYDROGEN 1.0 0.0 0.0 1.00
  • END
  • GUESS GUESSMINGUESS END
  • ELDENS IEDEN1 WHEREGRID OUTPUTPUNCH MORB2
    END
  • GRID ORIGIN(1)0,-2,-2 XVEC(1)0,-2,2
    YVEC(1)0,2,-2 SIZE0.1
  • END

16
Periodic Table
17
Sample Dataset
DATA LiH for plot. . .
CNV
4 LITHIUM 3.0 .0000000000
.0000000000 -.2000000000 STO 6
HYDROGEN 1.0 .0000000000
.0000000000 .2000000000 STO 6
END --- CLOSED SHELL ORBITALS ---
GENERATED AT Thu Dec 5 092130 2002 LiH for
plot. . .
E(RHF)
-6.6972344061, E(NUC) 3.9688293693, 16
ITERS VEC 1 1 9.56132375E-01-4.75279963E-02
0.00000000E00 0.00000000E00 2.58674950E-04 1 2
8.74853164E-02 2 1-3.53798254E-01
7.71544497E-01 0.00000000E00 0.00000000E00
3.85936555E-01 2 2 2.53832004E-01 3
1-5.14542772E-02-6.36210408E-01 0.00000000E00
0.00000000E00 7.75625245E-01 3 2
2.75780896E-01 4 1 0.00000000E00
0.00000000E00 1.00000000E00 0.00000000E00
0.00000000E00 4 2 0.00000000E00 END
POPULATION ANALYSIS LITHIUM 3.56364
-.56364 3.34634 -.34634 HYDROGEN .43636
.56364 .65366 .34634 ELECTRON DENSITY,
IPOINT,X,Y,Z,EDENS 1 .00000 -3.77945
-3.77945 .298696E-04 2 .00000
-3.59048 -3.77945 .328271E-04 3
.00000 -3.40151 -3.77945 .356873E-04 4
.00000 -3.21253 -3.77945 .383576E-04 5
.00000 -3.02356 -3.77945 .407417E-04
18
Stations
  • Purpose
  • To experience different uses of visualization in
    core disciplines
  • Procedure
  • 10 stations
  • Team of 2-3 participants
  • 8-10 minutes per station
  • Short reading with short activity
  • Address
  • http//www.morehead.unc.edu/revitalise/stations
Write a Comment
User Comments (0)
About PowerShow.com