EQE Baseline Data Collection — Colab Notebook

Last Updated: March 31, 2026 Download notebook (.ipynb)

Team Name: [Determine a name for your team for the rest of the semester.]
Authors: [Write in the names of the authors of this notebook.]
Apparatus # and Cell #: [Write in the number of the apparatus (EQE1, EQE2, or EQE3) that you used for your measurements, as well as your cell number.]

Reminder. To maintain consistency in your notebooks between team members, it is important to add markdown cells to discuss what you are doing and answer the questions. Also, make sure to put inline comments in your code.

1 Analysis

1.1 Plot EQE Curves

Create a plot of the External Quantum Efficiency (EQE) curves with data from all pixels that you measured.

Remember you can copy and paste code from your Python tutorial - in fact it is encouraged!
The illuminated area of each of your individual pixels is 0.14 \(cm^2\).

# Your code here

Question 1: Discuss what you observe from comparing all of your EQE curves.

Question 2: Compare your EQE curves to those from the literature. In particular, see Figure 1e in Mercaldo et al. Procedure Based on External Quantum Efficiency for Reliable Characterization of Perovskite Solar Cells (2022), linked on this week's Canvas page.

2 Author Contributions (required)

List the name of each team member and please describe briefly how each member contributed to the work in lab this week. (e.g., taking a measurement, updating the Colab notebook, etc.)

3 Use of AI (required)

How your team used AI tools: Describe the specific tasks where AI-assisted tools were involved. For example, did AI help with writing, debugging, optimizing, or refining your code? Which components of the analysis did your team use AI on?
When your team used AI tools: Specify at what stage(s) of your programming process you used AI. Was it during initial code development, troubleshooting, etc.?
Which AI tools your team used: Identify the AI tools or platforms your team consulted (e.g., ChatGPT, GitHub Copilot, etc.).