| 1. Please load the dataset from "QMCPACK/data/QMCPACK.vti". | |
| 2. Compute the critical points of the scalar field. | |
| 3. Save the critical points as "QMCPACK/results/{agent_mode}/QMCPACK.vtk" in legacy VTK format. | |
| - The output should contain the critical points as point data | |
| - Include an array called "CriticalType" that labels each point according to what type of critical type it is. Use the following convention: | |
| * 0 for minima | |
| * 1 for 1-saddles | |
| * 2 for 2-saddles | |
| * 3 for maxima | |
| * 4 for degenerate critical points | |
| - The point coordinates should be in index space (grid coordinates), not world coordinates | |
| 4. Analyze the visualization and answer the following questions: | |
| Q1: How many index 1 saddles are there: | |
| (A) 248 (B) 274 (C) 299 (D) 344 | |
| Q2: What is the type of critical point closest to coordinates (4,58,12): | |
| (A) minimum (B) 1-saddle (C) 2-saddle (D) maximum | |
| Save the answers to the analysis questions in plain text as "QMCPACK/results/{agent_mode}/answers.txt". |