1. Introduction to Scientific Visualization in the WestGrid Environment Jon Johansson

2. What is Scientific Visualization? convert scientific data into visual form – use computer to process data numerical algorithms such as marching cubes to extract features add color, lights, camera view (create a 3D scene) graphics techniques to render – the data sets can be large – many gigabytes or more resulting image is presented to the human visual processing system for the direct analysis and interpretation of the information convert scientific data into visual form – use computer to process data numerical algorithms such as marching cubes to extract features add color, lights, camera view (create a 3D scene) graphics techniques to render – the data sets can be large – many gigabytes or more resulting image is presented to the human visual processing system for the direct analysis and interpretation of the information

3. What is Scientific Visualization? generally deals with data that has a natural geometric structure MRI, CAT data (measured) weather simulations (computed) generally deals with data that has a natural geometric structure MRI, CAT data (measured) weather simulations (computed)

4. What is Scientific Visualization? the key point is that we can understand data in a picture much better than we can understand a bunch of numbers WestGrid resources can generate a lot of numbers!! the key point is that we can understand data in a picture much better than we can understand a bunch of numbers WestGrid resources can generate a lot of numbers!!

5. What is Scientific Visualization? use well understood algorithms to extract features from data sets goals – understand the data (exploration) interactively examine the data looking for the parts that are interesting – communicate the data to peers publications conferences use well understood algorithms to extract features from data sets goals – understand the data (exploration) interactively examine the data looking for the parts that are interesting – communicate the data to peers publications conferences

6. What is Scientific Visualization? once we find interesting structures in the data we have the freedom to arrange – colors – lights – transparency – camera views this should clarify what we are looking at once we find interesting structures in the data we have the freedom to arrange – colors – lights – transparency – camera views this should clarify what we are looking at

7. WestGrid Visualization Resources WestGrid provides a visualization server located at Simon Fraser University the machine can be accessed as: – hydra.westgrid.ca – vizserver.westgrid.ca – IP address: 206.12.24.8 Hydra is an SGI Onyx UltimateVision graphics supercomputer – 24 processors – 14 GB RAM – 10 graphics pipes WestGrid provides a visualization server located at Simon Fraser University the machine can be accessed as: – hydra.westgrid.ca – vizserver.westgrid.ca – IP address: 206.12.24.8 Hydra is an SGI Onyx UltimateVision graphics supercomputer – 24 processors – 14 GB RAM – 10 graphics pipes

8. WestGrid Visualization Resources You should have access to hydra automatically by being granted access to WestGrid resources Info about accounts: – http://www.westgrid.ca/support//About_Accounts http://www.westgrid.ca/support//About_Accounts Apply for an account at: – http://www.westgrid.ca/support//Applying_for_an_Account http://www.westgrid.ca/support//Applying_for_an_Account You should have access to hydra automatically by being granted access to WestGrid resources Info about accounts: – http://www.westgrid.ca/support//About_Accounts http://www.westgrid.ca/support//About_Accounts Apply for an account at: – http://www.westgrid.ca/support//Applying_for_an_Account http://www.westgrid.ca/support//Applying_for_an_Account

9. WestGrid Visualization Resources Web links for more information: WestGrid Collaboration/Visualization – http://www.westgrid.ca/collabvis/visualization/ http://www.westgrid.ca/collabvis/visualization/ Visualization Server Usage page – http://www.westgrid.ca/collabvis/visualization/vizserve r_software.php http://www.westgrid.ca/collabvis/visualization/vizserve r_software.php SFU Visualization Server Site – http://www.westgrid.ca/support_old/site/site-viz.php http://www.westgrid.ca/support_old/site/site-viz.php Web links for more information: WestGrid Collaboration/Visualization – http://www.westgrid.ca/collabvis/visualization/ http://www.westgrid.ca/collabvis/visualization/ Visualization Server Usage page – http://www.westgrid.ca/collabvis/visualization/vizserve r_software.php http://www.westgrid.ca/collabvis/visualization/vizserve r_software.php SFU Visualization Server Site – http://www.westgrid.ca/support_old/site/site-viz.php http://www.westgrid.ca/support_old/site/site-viz.php

10. OpenGL Vizserver SGI Vizserver is client-server software that allows you to run fully hardware- accelerated graphics applications on a remote machine and have images delivered to your desktop the server is installed on – hydra.westgrid.ca the client is installed on your workstation SGI Vizserver is client-server software that allows you to run fully hardware- accelerated graphics applications on a remote machine and have images delivered to your desktop the server is installed on – hydra.westgrid.ca the client is installed on your workstation

11. OpenGL Vizserver OpenGL VizServer – the server software runs on the WestGrid Visualization Server machine – the client runs on the users desktop machine – http://www.sgi.com/products/software/vizserver/ http://www.sgi.com/products/software/vizserver/ there are currently 5 licenses for the Vizserver software on hydra OpenGL VizServer – the server software runs on the WestGrid Visualization Server machine – the client runs on the users desktop machine – http://www.sgi.com/products/software/vizserver/ http://www.sgi.com/products/software/vizserver/ there are currently 5 licenses for the Vizserver software on hydra

12. OpenGL Vizserver Application-transparent – OpenGL Vizserver runs existing OpenGL® API-based applications without modification Shared application control – OpenGL Vizserver instantly turns existing stand-alone applications into collaborative applications with up to five remote sites sharing control of a single interactive application Application-transparent – OpenGL Vizserver runs existing OpenGL® API-based applications without modification Shared application control – OpenGL Vizserver instantly turns existing stand-alone applications into collaborative applications with up to five remote sites sharing control of a single interactive application

13. OpenGL Vizserver Platform/system independent – OpenGL Vizserver gives existing workstations, personal computers, and even wireless handheld devices the power of a Silicon Graphics Prism or SGI Onyx family system, as well as direct interaction with experts on Silicon Graphics workstations. Platform/system independent – OpenGL Vizserver gives existing workstations, personal computers, and even wireless handheld devices the power of a Silicon Graphics Prism or SGI Onyx family system, as well as direct interaction with experts on Silicon Graphics workstations.

14. OpenGL Vizserver you can run nearly any graphics or visualization application on the remote SGI host (hydra.westgrid.ca), and have the resulting imagery delivered to your desktop the client machine simply decompresses and displays the image created by the server you can run nearly any graphics or visualization application on the remote SGI host (hydra.westgrid.ca), and have the resulting imagery delivered to your desktop the client machine simply decompresses and displays the image created by the server

15. OpenGL Vizserver why the Vizserver approach is better: – X doesn't support hardware accelerated 3D graphics OpenGL function calls are passed to the graphics card on your desktop – the X protocol is horribly inefficient Vizserver uses a much more streamlined (custom) protocol to move events and payload image data data compression is available – Vizserver lets multiple users interact simultaneously with a single application running on the graphics server each connection has a dedicated graphics pipe why the Vizserver approach is better: – X doesn't support hardware accelerated 3D graphics OpenGL function calls are passed to the graphics card on your desktop – the X protocol is horribly inefficient Vizserver uses a much more streamlined (custom) protocol to move events and payload image data data compression is available – Vizserver lets multiple users interact simultaneously with a single application running on the graphics server each connection has a dedicated graphics pipe

16. OpenGL Vizserver OpenGL Vizserver clients are available for – SGI® IRIX® OS-based systems, such as Silicon Graphics Octane2, Silicon Graphics Fuel, Silicon Graphics® O2+™, and the SGI Onyx family – Linux® – Solaris™ – Windows NT®, Windows® 2000, Windows® XP, and Windows® XP Tablet PC Edition – Mac OS X OpenGL Vizserver clients are available for – SGI® IRIX® OS-based systems, such as Silicon Graphics Octane2, Silicon Graphics Fuel, Silicon Graphics® O2+™, and the SGI Onyx family – Linux® – Solaris™ – Windows NT®, Windows® 2000, Windows® XP, and Windows® XP Tablet PC Edition – Mac OS X

17. OpenGL Vizserver the OpenGL Vizserver client is a free download from the SGI website – https://support.sgi.com/login https://support.sgi.com/login note that you must create a Supportfolio ID to be able to download the client – this is free the OpenGL Vizserver client is a free download from the SGI website – https://support.sgi.com/login https://support.sgi.com/login note that you must create a Supportfolio ID to be able to download the client – this is free

18. Connection to Hydra you need to create an SSH tunnel to hydra to be able to use it. from a Linux/Unix machine: – ssh -L 7051:hydra.westgrid.ca:7051 -N username@hydra.westgrid.ca – replace “username” with your WestGrid username and you will be prompted for your password 7051 is the port that vizserver uses to make connections you need to create an SSH tunnel to hydra to be able to use it. from a Linux/Unix machine: – ssh -L 7051:hydra.westgrid.ca:7051 -N username@hydra.westgrid.ca – replace “username” with your WestGrid username and you will be prompted for your password 7051 is the port that vizserver uses to make connections

19. Connection to Hydra you will need to set an environment variable to be able start a vizserver session: – VSX_SESSION_HOST = hydra.westgrid.ca launch the vizserver client – connect to “localhost” not to hydra – the connection is handled by the tunnel you still need to authenticate to Hydra with your WestGrid username and password. – http://www.westgrid.ca/collabvis/documents/vizserver_tunne l.pdf http://www.westgrid.ca/collabvis/documents/vizserver_tunne l.pdf you will need to set an environment variable to be able start a vizserver session: – VSX_SESSION_HOST = hydra.westgrid.ca launch the vizserver client – connect to “localhost” not to hydra – the connection is handled by the tunnel you still need to authenticate to Hydra with your WestGrid username and password. – http://www.westgrid.ca/collabvis/documents/vizserver_tunne l.pdf http://www.westgrid.ca/collabvis/documents/vizserver_tunne l.pdf

20. Connection to Hydra Sample session start set up the SSH tunnel – ssh -L 7051:hydra.westgrid.ca:7051 -Nusername@hydra.westgrid.ca set the environment variable (Bash shell) – export VSX_SESSION_HOST=hydra.westgrid.ca launch the client – vizserver -h localhost Sample session start set up the SSH tunnel – ssh -L 7051:hydra.westgrid.ca:7051 -Nusername@hydra.westgrid.ca set the environment variable (Bash shell) – export VSX_SESSION_HOST=hydra.westgrid.ca launch the client – vizserver -h localhost

21. OpenGL Vizserver Sample session start (cont.) enter your WestGrid user id and password to login to hydra start a session select parameters for the session launch applications from the vizserver console window Sample session start (cont.) enter your WestGrid user id and password to login to hydra start a session select parameters for the session launch applications from the vizserver console window

22. SSH tunneling also called “port forwarding” or “port mapping” forward a network port from one network node to another used to carry insecure network traffic over the Internet in a secure way users outside a firewall can access a service inside the firewall also called “port forwarding” or “port mapping” forward a network port from one network node to another used to carry insecure network traffic over the Internet in a secure way users outside a firewall can access a service inside the firewall

23. SSH tunneling ssh connects using port 22 – connection is encrypted and secure vizserver connects using port 7051 – connection is not encrypted to make a vizserver session secure, wrap the vizserver session inside ssh ssh connects using port 22 – connection is encrypted and secure vizserver connects using port 7051 – connection is not encrypted to make a vizserver session secure, wrap the vizserver session inside ssh

24. SSH tunneling on the source machine – ssh listens for packets addressed to port 7051 – all those packets are encrypted and addressed to the destination using port 22 on the destination machine – when the packets are received, ssh decrypts them – packets are then sent to the destination port on the source machine – ssh listens for packets addressed to port 7051 – all those packets are encrypted and addressed to the destination using port 22 on the destination machine – when the packets are received, ssh decrypts them – packets are then sent to the destination port

25. SSH tunneling We can use a GUI and manually assign port forwarding – port 7051 on localhost is forwarded to 7051 on the remote host this is an “outgoing” tunnel – we don’t need an incoming (reverse) tunnel for port 7051 - only an outgoing tunnel to the server our big concern is that the username and password used to authenticate to hydra be encrypted We can use a GUI and manually assign port forwarding – port 7051 on localhost is forwarded to 7051 on the remote host this is an “outgoing” tunnel – we don’t need an incoming (reverse) tunnel for port 7051 - only an outgoing tunnel to the server our big concern is that the username and password used to authenticate to hydra be encrypted

26. Scientific Visualization Having opened a connection to hydra we would like to use a visualization application – what’s available? Package NameStart Command AVS/Express 6.2express OpenDX 4.3.2dx VTKvtk (the tcl shell for vtk)

27. Viz Packages OpenDX, VTK are AVS use a pipelined, component-based architecture a user can quickly assemble modular software components into a “finished application.” these systems are flexible in the sense that components can be combined in a multitude of ways, thereby allowing an application developer to accomplish a wide variety of visualization tasks they are extensible as they offer the means for developers to add new components to the system, thereby extending the system’s functionality OpenDX, VTK are AVS use a pipelined, component-based architecture a user can quickly assemble modular software components into a “finished application.” these systems are flexible in the sense that components can be combined in a multitude of ways, thereby allowing an application developer to accomplish a wide variety of visualization tasks they are extensible as they offer the means for developers to add new components to the system, thereby extending the system’s functionality

28. Scientific Visualization to be able to run OpenDX on hydra: – set the environment variable DXROOT to setenv DXROOT /usr/local/dx(tcsh) export DXROOT=/usr/local/dx (bash) – add the following directory to your library path setenv LD_LIBRARY_PATH {LD_LIBRARY_PATH}:/usr/local/lib/(tcsh) to be able to run OpenDX on hydra: – set the environment variable DXROOT to setenv DXROOT /usr/local/dx(tcsh) export DXROOT=/usr/local/dx (bash) – add the following directory to your library path setenv LD_LIBRARY_PATH {LD_LIBRARY_PATH}:/usr/local/lib/(tcsh)

29. Scientific Visualization In order to create a visualization: – import your data into the package – explore the data looking for the interesting features lots of work here – having found interesting features set up the view to show them clearly. Select: colors/surface properties camera view lights (these have some properties to adjust) – export images/animations In order to create a visualization: – import your data into the package – explore the data looking for the interesting features lots of work here – having found interesting features set up the view to show them clearly. Select: colors/surface properties camera view lights (these have some properties to adjust) – export images/animations

30. Scientific Visualization color choice can help to clarify a visualization a handy guide is the online paper “ A Rule-based Tool for Assisting Colormap Selection ” by Lawrence D. Bergman, Bernice E. Rogowitz and Lloyd A. Treinish, all from IBM http://www.research.ibm.com/dx/proceedings/ pravda/index.htm http://www.research.ibm.com/dx/proceedings/ pravda/index.htm lots of interesting references at the end color choice can help to clarify a visualization a handy guide is the online paper “ A Rule-based Tool for Assisting Colormap Selection ” by Lawrence D. Bergman, Bernice E. Rogowitz and Lloyd A. Treinish, all from IBM http://www.research.ibm.com/dx/proceedings/ pravda/index.htm http://www.research.ibm.com/dx/proceedings/ pravda/index.htm lots of interesting references at the end

31. Scientific Visualization another very nice online publication is “ How NOT to Lie with Visualization ” by Bernice E. Rogowitz and Lloyd A. Treinish, from IBM http://www.research.ibm.com/dx/proceedings/ pravda/truevis.htm http://www.research.ibm.com/dx/proceedings/ pravda/truevis.htm PRAVDA is intellectual property (IBM’s) separate from OpenDX and isn’t freely available the papers are still worth reading another very nice online publication is “ How NOT to Lie with Visualization ” by Bernice E. Rogowitz and Lloyd A. Treinish, from IBM http://www.research.ibm.com/dx/proceedings/ pravda/truevis.htm http://www.research.ibm.com/dx/proceedings/ pravda/truevis.htm PRAVDA is intellectual property (IBM’s) separate from OpenDX and isn’t freely available the papers are still worth reading

32. Scientific Visualization Source: http://www.research.ibm.com/dx/proceedings/pravda/truevis.htmhttp://www.research.ibm.com/dx/proceedings/pravda/truevis.htm

33. Sample Data Set We have the electric potential due to a dielectric cylinder introduced into a constant electric field E 0 the parameters I used are: – E 0 = 50 V/m – dielectric constant = 5 – R cyl = 10 m – -50 m ≤ x, y, z ≤ 50 m We have the electric potential due to a dielectric cylinder introduced into a constant electric field E 0 the parameters I used are: – E 0 = 50 V/m – dielectric constant = 5 – R cyl = 10 m – -50 m ≤ x, y, z ≤ 50 m

34. Sample Data Set

35. OpenDX Data Import a data file might consist of ascii values, each line containing 4 values … -8.50000000 14.72243186 48.00000000 326.96078431 -8.50000000 14.72243186 49.00000000 326.96078431 -8.50000000 14.72243186 50.00000000 326.96078431 -9.50627936 14.09363873 -50.00000000 365.66830060 -9.50627936 14.09363873 -49.00000000 365.66830060 -9.50627936 14.09363873 -48.00000000 365.66830060 … it’s important know how the file was written: row major: for( i = 0; i < nx; i++){ for( j = 0; j < ny; j++){ for( k = 0; k < nz; k++){ fprintf( outfh, "%12.8f %12.8f %12.8f %12.8f \n", x, y, z, V ); } row major is defined by the last index varying the fastest a data file might consist of ascii values, each line containing 4 values … -8.50000000 14.72243186 48.00000000 326.96078431 -8.50000000 14.72243186 49.00000000 326.96078431 -8.50000000 14.72243186 50.00000000 326.96078431 -9.50627936 14.09363873 -50.00000000 365.66830060 -9.50627936 14.09363873 -49.00000000 365.66830060 -9.50627936 14.09363873 -48.00000000 365.66830060 … it’s important know how the file was written: row major: for( i = 0; i < nx; i++){ for( j = 0; j < ny; j++){ for( k = 0; k < nz; k++){ fprintf( outfh, "%12.8f %12.8f %12.8f %12.8f \n", x, y, z, V ); } row major is defined by the last index varying the fastest

36. OpenDX Data Import We have a data set that has regular spacings in the x, y and z directions We don’t need to read the coordinates for each point from a file The general header file to read in this data is: file =./pot_cart.dat grid = 101 x 101 x 101 format = ascii interleaving = field majority = row header = lines 0 field = potential structure = scalar type = float dependency = positions positions = regular, regular, regular, -50.0, 1.0, -50.0, 1.0, -50.0, 1.0 end We have a data set that has regular spacings in the x, y and z directions We don’t need to read the coordinates for each point from a file The general header file to read in this data is: file =./pot_cart.dat grid = 101 x 101 x 101 format = ascii interleaving = field majority = row header = lines 0 field = potential structure = scalar type = float dependency = positions positions = regular, regular, regular, -50.0, 1.0, -50.0, 1.0, -50.0, 1.0 end

37. Sample Data Set the connections between the points are inferred when you tell OpenDX that the data are “row major” these are Cartesian connections the connections between the points are inferred when you tell OpenDX that the data are “row major” these are Cartesian connections

38. Sample Data Set you can also work in non-Cartesian coordinates the grid is row major in cylindrical coordinates (r, phi, z) write Cartesian coordinates in the file and connections are inferred from the cylindrical grid you can also work in non-Cartesian coordinates the grid is row major in cylindrical coordinates (r, phi, z) write Cartesian coordinates in the file and connections are inferred from the cylindrical grid

39. Sample Data Set

41. Data Import Start with a FileSelector module to browse to the general file describing the data set and connect it to an import module which actually does the reading Double click on the FileSelector to get a widget to browse the file system When the data is in the package we can start applying algorithms to it and look for interesting features Start with a FileSelector module to browse to the general file describing the data set and connect it to an import module which actually does the reading Double click on the FileSelector to get a widget to browse the file system When the data is in the package we can start applying algorithms to it and look for interesting features

42. Components of the visualization Isovalues of the electric potential The lower slice shows the electric potential with contour lines to give a sense of the shape change close to the cylinder – Use a slab module to extract a slice of the potential field – Use the Isosurface module to extract contour lines at values -1750, -1250, -750, -250, 250, 750, 1250, 1750 volts Isovalues of the electric potential The lower slice shows the electric potential with contour lines to give a sense of the shape change close to the cylinder – Use a slab module to extract a slice of the potential field – Use the Isosurface module to extract contour lines at values -1750, -1250, -750, -250, 250, 750, 1250, 1750 volts

43. Components of the visualization In the Slab module set the parameters: – dimension: “z” – position: 0 – thickness: (0 or 1) this is the default The AutoColor module generates a color map so that we have something to see In the Slab module set the parameters: – dimension: “z” – position: 0 – thickness: (0 or 1) this is the default The AutoColor module generates a color map so that we have something to see

44. Components of the visualization

45. Take the output of the Slab module and attach it to the input of an Isosurface module – The 2D slab data will result in contour lines – Set the isovalues at -1750, -1250, -750, -250, 250, 750, 1250, 1750 volts The contour lines are then passed to a Tube module – Set the diameter of the tube to 1.0 Take the output of the Slab module and attach it to the input of an Isosurface module – The 2D slab data will result in contour lines – Set the isovalues at -1750, -1250, -750, -250, 250, 750, 1250, 1750 volts The contour lines are then passed to a Tube module – Set the diameter of the tube to 1.0

46. Components of the visualization

47. Electric field lines The middle slice is color mapped to the magnitude of the electric field and shows some field lines – The lines are diverted in the region of the cylinder Use the Gradient module and the Compute module to calculate the electric field from the electric potential E = - grad  Electric field lines The middle slice is color mapped to the magnitude of the electric field and shows some field lines – The lines are diverted in the region of the cylinder Use the Gradient module and the Compute module to calculate the electric field from the electric potential E = - grad 

48. Components of the visualization – Use a Slab module to extract a slice of the electric field – Use the Streamline module to extract contour lines at values The Streamline module needs the vector field as one input, and a set of seed points as the next input – Use the Tube module to produce lines with some thickness – Use a Slab module to extract a slice of the electric field – Use the Streamline module to extract contour lines at values The Streamline module needs the vector field as one input, and a set of seed points as the next input – Use the Tube module to produce lines with some thickness

49. Components of the visualization Use the Compute module after the gradient to negate the vector components In the Compute module set “expression” to [-a.x, -a.y, -a.z] In Slab set – dimension: “z” – position: 50 – thickness: (0 or 1) this is the default Use the Compute module after the gradient to negate the vector components In the Compute module set “expression” to [-a.x, -a.y, -a.z] In Slab set – dimension: “z” – position: 50 – thickness: (0 or 1) this is the default

50. Components of the visualization

51. To calculate streamlines connect the Electric Field (output of Compute) to the left input of the Streamlines module Use another Slab module to extract a line of points to use as seeds for the stream line – Dimension: “x” – Position: 0 Use Reduce to decrease the number of points by 4 Use Tube with diameter 1.0 To calculate streamlines connect the Electric Field (output of Compute) to the left input of the Streamlines module Use another Slab module to extract a line of points to use as seeds for the stream line – Dimension: “x” – Position: 0 Use Reduce to decrease the number of points by 4 Use Tube with diameter 1.0

52. Components of the visualization

53. The top slice shows vector glyphs at some grid points of the electric field – The glyphs show the direction of the field – The size of the glyphs is scaled to the magnitude of the field The top slice shows vector glyphs at some grid points of the electric field – The glyphs show the direction of the field – The size of the glyphs is scaled to the magnitude of the field

54. Components of the visualization Insert a Reduce module and a Glyph module between Slab and Collect The Slab module parameters: – Dimension: “z” – Position: 100 The Reduce module has – Factor: 4.0 In the Glyph module – Type: “rocket” – Shape: 1.0 – Scale: 0.15 – Ratio: 0.1 Insert a Reduce module and a Glyph module between Slab and Collect The Slab module parameters: – Dimension: “z” – Position: 100 The Reduce module has – Factor: 4.0 In the Glyph module – Type: “rocket” – Shape: 1.0 – Scale: 0.15 – Ratio: 0.1

55. Components of the visualization

56. We have applied some visualization techniques to the data and created 3 slices pretty, but what does it mean?? this lacks context need some information to help the viewer understand what we are looking at We have applied some visualization techniques to the data and created 3 slices pretty, but what does it mean?? this lacks context need some information to help the viewer understand what we are looking at

57. Components of the visualization Annotations – add these to provide the context for the visualization ShowBox lets the viewer know the volume of space occupied by the data Text: titles, labels – explain a bit Axes provide orientation and scale ColorBar – shows how the numbers are mapped to color Draw the cylinder so we see the cause of all the trouble Annotations – add these to provide the context for the visualization ShowBox lets the viewer know the volume of space occupied by the data Text: titles, labels – explain a bit Axes provide orientation and scale ColorBar – shows how the numbers are mapped to color Draw the cylinder so we see the cause of all the trouble

58. Components of the visualization The ShowBox module draws a box around the extents of the data set – Use a Tube module to get nicely rendered lines Caption modules allow you to place text in the 2D plane of the screen – Set the text and location in the interface The ShowBox module draws a box around the extents of the data set – Use a Tube module to get nicely rendered lines Caption modules allow you to place text in the 2D plane of the screen – Set the text and location in the interface

59. Components of the visualization

60. A very useful annotation in this visualization is some indication of where the cylinder actually is – It is, after all, the source of all the disruption in the field A very useful annotation in this visualization is some indication of where the cylinder actually is – It is, after all, the source of all the disruption in the field

61. Components of the visualization Use the Construct module to create a line – Origin: {[0 0 -50]} – Deltas: {[0 0 1]} – Counts: [1 1 101] – Data: {1} The Tube module creates a cylinder around the line – Diameter: 20.0 – Ngon: 25 The Color module does just that – Color: “purple” – Opacity: 0.3 Use the Construct module to create a line – Origin: {[0 0 -50]} – Deltas: {[0 0 1]} – Counts: [1 1 101] – Data: {1} The Tube module creates a cylinder around the line – Diameter: 20.0 – Ngon: 25 The Color module does just that – Color: “purple” – Opacity: 0.3

62. Components of the visualization

63. When we put it all together and select the camera angle that we want we hopefully have what we want … My goals – Show a variety of techniques that I can apply to this data set – Provide enough annotation to orient the viewer – Make it look nice When we put it all together and select the camera angle that we want we hopefully have what we want … My goals – Show a variety of techniques that I can apply to this data set – Provide enough annotation to orient the viewer – Make it look nice

65. Debugging Sometimes things aren’t working and you just don’t know why OpenDX’s equivalent of the “print” statement is the Describe module Attach the Describe module to the output port of any module that is providing a field and Describe will give you a summary of what the module is providing in the Message Window. Debugging Sometimes things aren’t working and you just don’t know why OpenDX’s equivalent of the “print” statement is the Describe module Attach the Describe module to the output port of any module that is providing a field and Describe will give you a summary of what the module is providing in the Message Window.

66. Debugging

67. Scientific Visualization lots of info on the web we have some introductory pages at – http://sciviz.aict.ualberta.ca http://sciviz.aict.ualberta.ca lots of info on the web we have some introductory pages at – http://sciviz.aict.ualberta.ca http://sciviz.aict.ualberta.ca

68. The End Questions?Questions?