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Description
Description:
This feature introduces a visualization for analyzing the sag of an optical surface. It will display a 2D heatmap of the surface sag along with a 1D cross-sectional profile. This provides both an overall view of the surface shape and a detailed look along a specific axis.
Current Implementation (Proof of Concept):
The current proof-of-concept code performs the following steps:
-
Data Generation:
- Generates a 2D grid of (x, y) coordinates using
be.linspace
andbe.meshgrid
. - Calculates the sag values for these coordinates on a specified surface (e.g.,
lens.surface_group.surfaces[4]
) using thegeometry.sag(X, Y)
method. This results in a 2D sag map. - Calculates a 1D sag profile along the x-axis (where y=0) using the same
geometry.sag(x, y_value)
method.
- Generates a 2D grid of (x, y) coordinates using
-
Plotting using Matplotlib and GridSpec:
- A figure is created with a specific layout managed by
gridspec.GridSpec
. This ensures proper alignment of the 2D map, its colorbar, and the 1D profile plot. - 2D Sag Map (Top Subplot):
- Displays the
sag_map_2d
as a filled contour plot (contourf
). - A colorbar is added to a dedicated axes (
cax
) to show the sag (z) scale. - A horizontal dashed red line is drawn at y=0 on the map to indicate the location of the x-axis profile.
- The plot is titled (e.g., "2D Sag Map for Surface S2"), and y-axis is labeled.
ax_map.axis("equal")
ensures correct aspect ratio.- X-tick labels are hidden as this axis is shared with the profile plot below.
- Displays the
- 1D X-Axis Sag Profile (Bottom Subplot):
- Plots the
sag_profile_x
(sag values along y=0) against the x-coordinates. - This plot shares its x-axis with the 2D map above for direct correlation.
- Styled with a red dashed line.
- X and Y axes are labeled ("X-coordinate", "Sag (z)").
- A grid is enabled for better readability.
- Y-limits are adjusted to fit the profile data with some padding.
- Plots the
- A figure is created with a specific layout managed by
Visual Output Example (from current code):
Proposed Enhancements / Next Steps:
-
Add Y-Axis Cross-Section Profile:
- Currently, only the x-axis profile (y=0) is plotted. We need to add another 1D plot showing the sag profile along the y-axis (x=0).
- This would involve:
- Calculating
sag_profile_y
similar to howsag_profile_x
is done:# y_values_profile = y_grid_coords # Use the same y grid points # x_value_for_profile = 0 # sag_profile_y = lens.surface_group.surfaces[SURFACE_INDEX].geometry.sag( # x_value_for_profile, y_values_profile # )
- Modifying the
GridSpec
layout to accommodate a third subplot for this y-axis profile. This might involve changingGridSpec
to have 3 rows or arranging it differently (e.g., heatmap on left, two profiles stacked on the right, or vice-versa). - Plotting
sag_profile_y
againsty_values_profile
. - Adding a vertical dashed line on the 2D sag map at x=0 to indicate the location of this new y-axis profile.
- Ensuring appropriate labeling and legends for the new plot and the indicator line on the map.
- Calculating
-
User Interactivity (Future Considerations):
- Allowing the user to select which surface to analyze.
- Potentially allowing the user to click on the 2D map to define custom cross-section lines.
HarrisonKramer and kkrutkowski
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Done