h5temperature

Description

h5temperature is a user-friendly graphical application designed to analyze radiometric temperature measurements from laser-heating experiments in diamond anvil cells. It supports ESRF HDF5 data files, offers data fitting with Planck and Wien formulas, and sliding two-color pyrometry analysis, as well as other features.

The analysis methods used in h5temperature are detailed in: Benedetti & Loubeyre (2004), Temperature gradients, wavelength-dependent emissivity, and accuracy of high and very-high temperatures measured in the laser-heated diamond cell, High Pressure Research, 24:4, 423-445.

Feel free to contribute to h5temperature! If you encounter any bugs or have suggestions for improvements, please report them!

What's VERY new (v 0.4.3)

• ASCII and H5 files can be loaded through the same button by selecting HDF5 or Text file in the load file dialog. Multiple ASCII files can be loaded simultaneously as before.
• Fixed bug with Clear button.

What's new (v 0.4.2)

• Fixed ASCII data loading bug
• Multiple ASCII files can be loaded simultaneously
• Modified the architecture for handling nested data structures (ramps etc.)

What's new (v 0.4.1)

• A batch fit feature is available, allowing you to fit all data from a group (e.g., temperature ramp) or all data loaded in h5temperature at once
• An autofit mode can be activated or deactivated. When activated, clicking a measurement item in the list will automatically fit the data. If deactivated, data can be fitted by clicking the fit button. This is useful for setting different fit parameters for different measurements
• All fit results from the session can be exported in ASCII format
• Saturated spectra are detected, and spectral regions where saturation occurs are indicated with a red square in the Planck plot
• ASCII data can be loaded for analysis (currently, only one file can be loaded at a time)
• The fit range is now indicated with vertical green lines
• The code has been refactored into a Python package.
• A few bug fixes
• A new icon ! :)

Requirements

Python3 packages:

• h5py
• numpy
• matplotlib
• scipy
• pyqt5

Running the Program

From source

Using poetry

The easiest way is using poetry. Clone the repository and navigate to the H5temperature directory:

git clone https://github.com/alexisforestier/H5temperature.git
cd H5temperature

Then run from the H5temperature directory:

poetry install

To activate the newly created environment run:

poetry shell

Then h5temperature can be started, type:

h5temperature

Through requirements.txt

Ensure you have the requirements listed above installed. To install all required dependencies at once, run in the H5temperature directory:

pip install -r requirements.txt

Then the following command will start the program:

python3 run.py

or run the run.py file from any python interpreter.

Executable for Windows

Download the latest Release for Windows (here), unpack it, and run h5temperature.exe. Tested on Windows 10 only

Note

In case of errors occurring at launch, particularly regarding module imports, it may be necessary to install Microsoft Visual C++ Redistributable. You can find it here: https://learn.microsoft.com/fr-fr/cpp/windows/latest-supported-vc-redist?view=msvc-170.

Use

Use the "Load h5" button to load a specific HDF5 file. All temperature measurements within this file will be displayed. Right-clicking on 'Load h5' displays a menu that allows you to load an ASCII file.

The fit is performed automatically when you click on a measurement in the left panel, if the autofit mode is active. Otherwise, click the "Fit" button.

Future improvements

• Use PyQtGraph instead of matplotlib for better performance
• Save and load work sessions
• 2D representation of the fitted batch for temperature mapping