Changes between Version 2 and Version 3 of u/madams/3DCDMVisualizationInstructions

Timestamp:

10/09/14 10:00:29 (10 years ago)

Author:

madams

Comment:

—

u/madams/3DCDMVisualizationInstructions

@@ -1 @@
-On this page is a series of instructions on how to visualize data from AstroBEAR in the software VisIt in particularly fancy ways. The instructions and examples are from the data concerning our [https://astrobear.pas.rochester.edu/trac/wiki/u/erica/CFRunStatsHighRes CollidingFlows] high resolution runs located on BlueHive2 through Erica's account. These techniques may potentially be useful to observe other types of physics. 
+On this page is a series of instructions on how to visualize data from AstroBEAR in the software VisIt in particularly fancy ways. The instructions and examples are from the data concerning our [https://astrobear.pas.rochester.edu/trac/wiki/u/erica/CFRunStatsHighRes CollidingFlows] high resolution runs located on BlueHive2 through Erica and Marissa's accounts. These techniques may potentially be useful to observe other types of physics. 
 
 = Initial Steps =
@@ -9 +9 @@
  - Click create database correlation.
  - In the first window that popped up, click apply. Now you have your data base correlation.
-2. Input your pseudocolor plots: Add + > Pseudocolor. Now choose you corresponding data set. In my example, I have chosen mass1, mass2 and mass3.
-3. Your data sets should be green, indicating that they are ready to be drawn. While VisIt is drawing, they will be yellow. If it cannot drawn them, they will be red. 
+2. Input your pseudocolor plots: Add + > Pseudocolor. Now choose you corresponding data set. In my example, I have chosen mass1, mass2 and mass3 (see '''Figure 1''').
+3. Your data sets should be green, indicating that they are ready to be drawn (see '''Figure 1'''). While VisIt is drawing, they will be yellow. If it cannot drawn them, they will be red. 
 4. If you are already familiar with visualizing the data set you're attempting to make a new fancy simulation of, it might be worth your time to adjust the colorbar and switch it to a log plot. This way one doesn't forget after making a movie. In my examples I'll have the legends turned off, and the color bar will have a minimum of 60 and maximum of 2000 (as a log plot).
+
+[[Image(1.png, 75%)]]
+
+'''Figure 1.''' Initial set up on correlating the data sets in Visit. Note they are indicated as ready to draw by the green font. They are correlated as indicated by the active time slider. The specific source being dealt with can be manipulated by changing the active source (current is mass3_along_3_*.bov).
 
 '''Hints and Suggestions:''' While doing these steps you may want to make heavy use of hiding and showing each dataset as you go. Depending on how big your data set is, it can be quite computationally intensive.
@@ -19 +23 @@
 = 3D Column Density Map (CDM) Plots =
 
+[[Image(2.png, 75%)]]
+[[Image(3.png, 75%)]]
+[[Image(4.png, 75%)]]
+[[Image(6.png, 75%)]]
+[[Image(mass2better.png, 75%)]]
+[[Image(allthemasses.png, 75%)]]
+[[Image(donzeo.png, 75%)]]