firThermometry

This repository contains the codebase for processing and analyzing fluorescence data acquired from a spectrophotometer for far-infrared (FIR) optical thermometry.

The project is intended to support the analysis of fluorescence measurements and the extraction of temperature-dependent information relevant to FIR optical thermometry.

Reproducibility

The following instructions describe how to set up the Python environment and install the required dependencies.

1. Clone the repository

From your terminal, navigate to the directory where you would like to store the project and clone the repository:

git clone <repository-url>
cd firThermometry

2. Create a virtual environment

From the project root directory, create a Python virtual environment:

python -m venv .venv

If python is not available on your system, you may need to use:

python3 -m venv .venv

3. Activate the virtual environment

Choose the command corresponding to your operating system and shell:

Operating System	Terminal / Shell	Activation Command
macOS / Linux	bash / zsh	source .venv/bin/activate
Windows	Command Prompt (cmd)	.venv\Scripts\activate.bat
Windows	PowerShell	.venv\Scripts\Activate.ps1

Once activated, your terminal should indicate that the .venv environment is active.

4. Install dependencies

Install the required Python packages using:

pip install -r requirements.txt

5. Deactivate the environment

When you are finished working with the project, deactivate the virtual environment with:

deactivate

Note

Initial installation could take some time ~30 sec if virtual environment is used. Feel free to skip the venv if you want to use the code in an existing environment.

Project Structure

The repository may contain the following types of files and directories:

• Python scripts — Data processing and analysis code.
• Jupyter notebooks — Interactive analysis, visualization, and exploration.
• requirements.txt — Python dependencies required to run the project.
• Data / output directories — Experimental data and generated results, where applicable.

Note: Experimental data, generated figures, and other large or non-source files may be excluded from version control. Refer to the repository's .gitignore file for details.

Citation

If you use this codebase or any of its associated analysis methods in your research, please cite the author's work appropriately.

For questions regarding the methodology, analysis, or use of this code, please refer to the associated publication or contact the author.