Energy Landscape#
The Energy landscape analysis projects the energy of a path onto two saved scalar analyses. It is one of the most insightful Path Analyzer views because it lets you see where low-energy, high-population, or high-energy regions sit in an observable space that you define.

Adding the plot#
- Open Path Analyzer.
- Create or reuse two saved scalar analyses in the Analysis Tray.
- Choose Energy landscape in Observable.
- Select exactly two saved scalar analyses in the tray.
- Click Add Energy Landscape.
Inputs#
- This is a derived analysis: it uses the Analysis Tray instead of direct atom selections.
- The two source analyses must be frame-wise scalar analyses computed on the same path.
- The path must also expose energy data for the covered frames.
View#
- Energy landscape: a contour-style map of the path projected into the two chosen observables.
Key equations#
If a bin \(B_{mn}\) contains the frames whose projected coordinates fall into the \((m,n)\)-th cell, Path Analyzer can summarize that bin by
\[
\bar{E}_{mn}=\frac{1}{|B_{mn}|}\sum_{k\in B_{mn}}E_k
\]
or by the minimum sampled energy in that bin:
\[
E^{\min}_{mn}=\min_{k\in B_{mn}}E_k
\]
Card settings#
After creating the card, you can switch the displayed quantity between:
Mean energyMinimum energy
You can also change:
- color scale
- contour-line visibility
- contour-line color
- energy unit
Tip
- Start from two observables that already separate the motion well, such as Distance and RMSD.
- Energy landscapes are especially helpful for identifying basins, transitions, and pathways between states.
- Compare the result with Custom scatter or 2D density map when you want to separate energy trends from raw sampling density.