PyRadiant

PyRadiant is a Python-based graphical user interface (GUI) application designed for fast, visual analysis of thermal emission spectra collected during laser-heated diamond anvil cell (DAC) experiments. It provides real-time feedback by fitting black-body radiation models to the data, allowing users to estimate sample temperature during high-pressure experiments.

Originally based on code forked from T-Rax https://github.com/CPrescher/T-Rax_, PyRadiant combines this with functionality ported from the legacy LabVIEW program T-View, and includes numerous new features for usability and beamline integration.

The application supports Princeton Instruments .spe files collected using WinSpec (File Version 2) or LightField (File Version 3).

PyRadiant can optionally connect to EPICS to read detector data directly and publish fitted temperature values to process variables (PVs), enabling display on beamline control screens or archival as experimental metadata.

Maintainer

Ross Hrubiak (hrubiak@anl.gov)
High Pressue Collaborative Access Team, Argonne National Laboratory

PyRadiant Installation Guide (via Conda)

Requirements

Anaconda or Miniforge installed (Python 3.12+ recommended)
Internet connection

Step-by-Step Setup

Download the Code
Download the PyRadiant source code from GitHub as a ZIP file and extract it to a local folder.
Open a Terminal and Navigate to the Folder
For example:
```
cd /path/to/PyRadiant
```

Create and Activate a Conda Environment

conda create -n pyradiant_env python=3.12 -y
conda activate pyradiant_env

Install Python Dependencies

pip install -r requirements.txt
pip install pyqtdarktheme==2.1.0 --ignore-requires-python

Launch PyRadiant
```
python run_pyradiant.py
```
Or use one of the wrapper scripts described below for convenience.

Notes

pyqtdarktheme requires --ignore-requires-python due to overly strict metadata.

Wrapper Launch Scripts

To make launching PyRadiant easier, two wrapper scripts are provided:

macOS/Linux

Open a terminal.
Navigate to the PyRadiant folder:
```
cd /path/to/PyRadiant
```
Make the script executable (first time only):
```
chmod +x run_pyradiant.sh
```
Run the script:
```
./run_pyradiant.sh
```

This will activate the Conda environment and launch the application.

Windows

Double-click the file run_pyradiant.bat in the PyRadiant folder.
This will activate the Conda environment and launch the application in a terminal window.
If it closes immediately after running, you can open a Command Prompt manually, navigate to the folder, and run:
```
run_pyradiant.bat
```

PyRadiant

PyRadiant is a Python-based graphical user interface (GUI) application designed for fast, visual analysis of thermal emission spectra collected during laser-heated diamond anvil cell (DAC) experiments. It provides real-time feedback by fitting black-body radiation models to the data, allowing users to estimate sample temperature during high-pressure experiments.

Originally based on code forked from T-Rax https://github.com/CPrescher/T-Rax_, PyRadiant combines this with functionality ported from the legacy LabVIEW program T-View, and includes numerous new features for usability and beamline integration.

The application supports Princeton Instruments .spe files collected using WinSpec (File Version 2) or LightField (File Version 3).

PyRadiant can optionally connect to EPICS to read detector data directly and publish fitted temperature values to process variables (PVs), enabling display on beamline control screens or archival as experimental metadata.

Maintainer

Ross Hrubiak (hrubiak@anl.gov)
High Pressue Collaborative Access Team, Argonne National Laboratory

PyRadiant Installation Guide (via Conda)

Requirements

Anaconda or Miniforge installed (Python 3.12+ recommended)
Internet connection

Step-by-Step Setup

Download the Code
Download the PyRadiant source code from GitHub as a ZIP file and extract it to a local folder.
Open a Terminal and Navigate to the Folder
For example:
```
cd /path/to/PyRadiant
```

Create and Activate a Conda Environment

conda create -n pyradiant_env python=3.12 -y
conda activate pyradiant_env

Install Python Dependencies

pip install -r requirements.txt
pip install pyqtdarktheme==2.1.0 --ignore-requires-python

Launch PyRadiant
```
python run_pyradiant.py
```
Or use one of the wrapper scripts described below for convenience.

Notes

pyqtdarktheme requires --ignore-requires-python due to overly strict metadata.

Wrapper Launch Scripts

To make launching PyRadiant easier, two wrapper scripts are provided:

macOS/Linux

Open a terminal.
Navigate to the PyRadiant folder:
```
cd /path/to/PyRadiant
```
Make the script executable (first time only):
```
chmod +x run_pyradiant.sh
```
Run the script:
```
./run_pyradiant.sh
```

This will activate the Conda environment and launch the application.

Windows

Double-click the file run_pyradiant.bat in the PyRadiant folder.
This will activate the Conda environment and launch the application in a terminal window.
If it closes immediately after running, you can open a Command Prompt manually, navigate to the folder, and run:
```
run_pyradiant.bat
```

PyRadiant

PyRadiant is a Python-based graphical user interface (GUI) application designed for fast, visual analysis of thermal emission spectra collected during laser-heated diamond anvil cell (DAC) experiments. It provides real-time feedback by fitting black-body radiation models to the data, allowing users to estimate sample temperature during high-pressure experiments.

Originally based on code forked from T-Rax https://github.com/CPrescher/T-Rax_, PyRadiant combines this with functionality ported from the legacy LabVIEW program T-View, and includes numerous new features for usability and beamline integration.

The application supports Princeton Instruments .spe files collected using WinSpec (File Version 2) or LightField (File Version 3).

PyRadiant can optionally connect to EPICS to read detector data directly and publish fitted temperature values to process variables (PVs), enabling display on beamline control screens or archival as experimental metadata.

Maintainer

Ross Hrubiak (hrubiak@anl.gov)
High Pressue Collaborative Access Team, Argonne National Laboratory

PyRadiant Installation Guide (via Conda)

Requirements

Anaconda or Miniforge installed (Python 3.12+ recommended)
Internet connection

Step-by-Step Setup

Download the Code
Download the PyRadiant source code from GitHub as a ZIP file and extract it to a local folder.
Open a Terminal and Navigate to the Folder
For example:
```
cd /path/to/PyRadiant
```

Create and Activate a Conda Environment

conda create -n pyradiant_env python=3.12 -y
conda activate pyradiant_env

Install Python Dependencies

pip install -r requirements.txt
pip install pyqtdarktheme==2.1.0 --ignore-requires-python

Launch PyRadiant
```
python run_pyradiant.py
```
Or use one of the wrapper scripts described below for convenience.

Notes

pyqtdarktheme requires --ignore-requires-python due to overly strict metadata.

Wrapper Launch Scripts

To make launching PyRadiant easier, two wrapper scripts are provided:

macOS/Linux

Open a terminal.
Navigate to the PyRadiant folder:
```
cd /path/to/PyRadiant
```
Make the script executable (first time only):
```
chmod +x run_pyradiant.sh
```
Run the script:
```
./run_pyradiant.sh
```

This will activate the Conda environment and launch the application.

Windows

Double-click the file run_pyradiant.bat in the PyRadiant folder.
This will activate the Conda environment and launch the application in a terminal window.
If it closes immediately after running, you can open a Command Prompt manually, navigate to the folder, and run:
```
run_pyradiant.bat
```

PyRadiant

PyRadiant is a Python-based graphical user interface (GUI) application designed for fast, visual analysis of thermal emission spectra collected during laser-heated diamond anvil cell (DAC) experiments. It provides real-time feedback by fitting black-body radiation models to the data, allowing users to estimate sample temperature during high-pressure experiments.

Originally based on code forked from T-Rax https://github.com/CPrescher/T-Rax_, PyRadiant combines this with functionality ported from the legacy LabVIEW program T-View, and includes numerous new features for usability and beamline integration.

The application supports Princeton Instruments .spe files collected using WinSpec (File Version 2) or LightField (File Version 3).

PyRadiant can optionally connect to EPICS to read detector data directly and publish fitted temperature values to process variables (PVs), enabling display on beamline control screens or archival as experimental metadata.

Maintainer

Ross Hrubiak (hrubiak@anl.gov)
High Pressue Collaborative Access Team, Argonne National Laboratory

PyRadiant Installation Guide (via Conda)

Requirements

Anaconda or Miniforge installed (Python 3.12+ recommended)
Internet connection

Step-by-Step Setup

Download the Code
Download the PyRadiant source code from GitHub as a ZIP file and extract it to a local folder.
Open a Terminal and Navigate to the Folder
For example:
```
cd /path/to/PyRadiant
```

Create and Activate a Conda Environment

conda create -n pyradiant_env python=3.12 -y
conda activate pyradiant_env

Install Python Dependencies

pip install -r requirements.txt
pip install pyqtdarktheme==2.1.0 --ignore-requires-python

Launch PyRadiant
```
python run_pyradiant.py
```
Or use one of the wrapper scripts described below for convenience.

Notes

pyqtdarktheme requires --ignore-requires-python due to overly strict metadata.

Wrapper Launch Scripts

To make launching PyRadiant easier, two wrapper scripts are provided:

macOS/Linux

Open a terminal.
Navigate to the PyRadiant folder:
```
cd /path/to/PyRadiant
```
Make the script executable (first time only):
```
chmod +x run_pyradiant.sh
```
Run the script:
```
./run_pyradiant.sh
```

This will activate the Conda environment and launch the application.

Windows

Double-click the file run_pyradiant.bat in the PyRadiant folder.
This will activate the Conda environment and launch the application in a terminal window.
If it closes immediately after running, you can open a Command Prompt manually, navigate to the folder, and run:
```
run_pyradiant.bat
```

PyRadiant

PyRadiant is a Python-based graphical user interface (GUI) application designed for fast, visual analysis of thermal emission spectra collected during laser-heated diamond anvil cell (DAC) experiments. It provides real-time feedback by fitting black-body radiation models to the data, allowing users to estimate sample temperature during high-pressure experiments.

Originally based on code forked from T-Rax https://github.com/CPrescher/T-Rax_, PyRadiant combines this with functionality ported from the legacy LabVIEW program T-View, and includes numerous new features for usability and beamline integration.

The application supports Princeton Instruments .spe files collected using WinSpec (File Version 2) or LightField (File Version 3).

PyRadiant can optionally connect to EPICS to read detector data directly and publish fitted temperature values to process variables (PVs), enabling display on beamline control screens or archival as experimental metadata.

Maintainer

Ross Hrubiak (hrubiak@anl.gov)
High Pressue Collaborative Access Team, Argonne National Laboratory

PyRadiant Installation Guide (via Conda)

Requirements

Anaconda or Miniforge installed (Python 3.12+ recommended)
Internet connection

Step-by-Step Setup

Download the Code
Download the PyRadiant source code from GitHub as a ZIP file and extract it to a local folder.
Open a Terminal and Navigate to the Folder
For example:
```
cd /path/to/PyRadiant
```

Create and Activate a Conda Environment

conda create -n pyradiant_env python=3.12 -y
conda activate pyradiant_env

Install Python Dependencies

pip install -r requirements.txt
pip install pyqtdarktheme==2.1.0 --ignore-requires-python

Launch PyRadiant
```
python run_pyradiant.py
```
Or use one of the wrapper scripts described below for convenience.

Notes

pyqtdarktheme requires --ignore-requires-python due to overly strict metadata.

Wrapper Launch Scripts

To make launching PyRadiant easier, two wrapper scripts are provided:

macOS/Linux

Open a terminal.
Navigate to the PyRadiant folder:
```
cd /path/to/PyRadiant
```
Make the script executable (first time only):
```
chmod +x run_pyradiant.sh
```
Run the script:
```
./run_pyradiant.sh
```

This will activate the Conda environment and launch the application.

Windows

Double-click the file run_pyradiant.bat in the PyRadiant folder.
This will activate the Conda environment and launch the application in a terminal window.
If it closes immediately after running, you can open a Command Prompt manually, navigate to the folder, and run:
```
run_pyradiant.bat
```

PyRadiant

PyRadiant is a Python-based graphical user interface (GUI) application designed for fast, visual analysis of thermal emission spectra collected during laser-heated diamond anvil cell (DAC) experiments. It provides real-time feedback by fitting black-body radiation models to the data, allowing users to estimate sample temperature during high-pressure experiments.

Originally based on code forked from T-Rax https://github.com/CPrescher/T-Rax_, PyRadiant combines this with functionality ported from the legacy LabVIEW program T-View, and includes numerous new features for usability and beamline integration.

The application supports Princeton Instruments .spe files collected using WinSpec (File Version 2) or LightField (File Version 3).

PyRadiant can optionally connect to EPICS to read detector data directly and publish fitted temperature values to process variables (PVs), enabling display on beamline control screens or archival as experimental metadata.

Maintainer

Ross Hrubiak (hrubiak@anl.gov)
High Pressue Collaborative Access Team, Argonne National Laboratory

PyRadiant Installation Guide (via Conda)

Requirements

Anaconda or Miniforge installed (Python 3.12+ recommended)
Internet connection

Step-by-Step Setup

Download the Code
Download the PyRadiant source code from GitHub as a ZIP file and extract it to a local folder.
Open a Terminal and Navigate to the Folder
For example:
```
cd /path/to/PyRadiant
```

Create and Activate a Conda Environment

conda create -n pyradiant_env python=3.12 -y
conda activate pyradiant_env

Install Python Dependencies

pip install -r requirements.txt
pip install pyqtdarktheme==2.1.0 --ignore-requires-python

Launch PyRadiant
```
python run_pyradiant.py
```
Or use one of the wrapper scripts described below for convenience.

Notes

pyqtdarktheme requires --ignore-requires-python due to overly strict metadata.

Wrapper Launch Scripts

To make launching PyRadiant easier, two wrapper scripts are provided:

macOS/Linux

Open a terminal.
Navigate to the PyRadiant folder:
```
cd /path/to/PyRadiant
```
Make the script executable (first time only):
```
chmod +x run_pyradiant.sh
```
Run the script:
```
./run_pyradiant.sh
```

This will activate the Conda environment and launch the application.

Windows

Double-click the file run_pyradiant.bat in the PyRadiant folder.
This will activate the Conda environment and launch the application in a terminal window.
If it closes immediately after running, you can open a Command Prompt manually, navigate to the folder, and run:
```
run_pyradiant.bat
```

PyRadiant

PyRadiant is a Python-based graphical user interface (GUI) application designed for fast, visual analysis of thermal emission spectra collected during laser-heated diamond anvil cell (DAC) experiments. It provides real-time feedback by fitting black-body radiation models to the data, allowing users to estimate sample temperature during high-pressure experiments.

Originally based on code forked from T-Rax https://github.com/CPrescher/T-Rax_, PyRadiant combines this with functionality ported from the legacy LabVIEW program T-View, and includes numerous new features for usability and beamline integration.

The application supports Princeton Instruments .spe files collected using WinSpec (File Version 2) or LightField (File Version 3).

PyRadiant can optionally connect to EPICS to read detector data directly and publish fitted temperature values to process variables (PVs), enabling display on beamline control screens or archival as experimental metadata.

Maintainer

Ross Hrubiak (hrubiak@anl.gov)
High Pressue Collaborative Access Team, Argonne National Laboratory

PyRadiant Installation Guide (via Conda)

Requirements

Anaconda or Miniforge installed (Python 3.12+ recommended)
Internet connection

Step-by-Step Setup

Download the Code
Download the PyRadiant source code from GitHub as a ZIP file and extract it to a local folder.
Open a Terminal and Navigate to the Folder
For example:
```
cd /path/to/PyRadiant
```

Create and Activate a Conda Environment

conda create -n pyradiant_env python=3.12 -y
conda activate pyradiant_env

Install Python Dependencies

pip install -r requirements.txt
pip install pyqtdarktheme==2.1.0 --ignore-requires-python

Launch PyRadiant
```
python run_pyradiant.py
```
Or use one of the wrapper scripts described below for convenience.

Notes

pyqtdarktheme requires --ignore-requires-python due to overly strict metadata.

Wrapper Launch Scripts

To make launching PyRadiant easier, two wrapper scripts are provided:

macOS/Linux

Open a terminal.
Navigate to the PyRadiant folder:
```
cd /path/to/PyRadiant
```
Make the script executable (first time only):
```
chmod +x run_pyradiant.sh
```
Run the script:
```
./run_pyradiant.sh
```

This will activate the Conda environment and launch the application.

Windows

Double-click the file run_pyradiant.bat in the PyRadiant folder.
This will activate the Conda environment and launch the application in a terminal window.
If it closes immediately after running, you can open a Command Prompt manually, navigate to the folder, and run:
```
run_pyradiant.bat
```

PyRadiant

PyRadiant is a Python-based graphical user interface (GUI) application designed for fast, visual analysis of thermal emission spectra collected during laser-heated diamond anvil cell (DAC) experiments. It provides real-time feedback by fitting black-body radiation models to the data, allowing users to estimate sample temperature during high-pressure experiments.

Originally based on code forked from T-Rax https://github.com/CPrescher/T-Rax_, PyRadiant combines this with functionality ported from the legacy LabVIEW program T-View, and includes numerous new features for usability and beamline integration.

The application supports Princeton Instruments .spe files collected using WinSpec (File Version 2) or LightField (File Version 3).

PyRadiant can optionally connect to EPICS to read detector data directly and publish fitted temperature values to process variables (PVs), enabling display on beamline control screens or archival as experimental metadata.

Maintainer

Ross Hrubiak (hrubiak@anl.gov)
High Pressue Collaborative Access Team, Argonne National Laboratory

PyRadiant Installation Guide (via Conda)

Requirements

Anaconda or Miniforge installed (Python 3.12+ recommended)
Internet connection

Step-by-Step Setup

Download the Code
Download the PyRadiant source code from GitHub as a ZIP file and extract it to a local folder.
Open a Terminal and Navigate to the Folder
For example:
```
cd /path/to/PyRadiant
```

Create and Activate a Conda Environment

conda create -n pyradiant_env python=3.12 -y
conda activate pyradiant_env

Install Python Dependencies

pip install -r requirements.txt
pip install pyqtdarktheme==2.1.0 --ignore-requires-python

Launch PyRadiant
```
python run_pyradiant.py
```
Or use one of the wrapper scripts described below for convenience.

Notes

pyqtdarktheme requires --ignore-requires-python due to overly strict metadata.

Wrapper Launch Scripts

To make launching PyRadiant easier, two wrapper scripts are provided:

macOS/Linux

Open a terminal.
Navigate to the PyRadiant folder:
```
cd /path/to/PyRadiant
```
Make the script executable (first time only):
```
chmod +x run_pyradiant.sh
```
Run the script:
```
./run_pyradiant.sh
```

This will activate the Conda environment and launch the application.

Windows

Double-click the file run_pyradiant.bat in the PyRadiant folder.
This will activate the Conda environment and launch the application in a terminal window.
If it closes immediately after running, you can open a Command Prompt manually, navigate to the folder, and run:
```
run_pyradiant.bat
```

Name		Name	Last commit message	Last commit date
.vscode		.vscode
2colour_pyrometry		2colour_pyrometry
old t-view screens		old t-view screens
pyradiant		pyradiant
.gitattributes		.gitattributes
.gitignore		.gitignore
FilePathSettings.json		FilePathSettings.json
FilePathSettings.py		FilePathSettings.py
FilePathSettingsGUI.py		FilePathSettingsGUI.py
README.md		README.md
build_pyradiant.spec		build_pyradiant.spec
changelog.rst		changelog.rst
file_average.py		file_average.py
file_mover.py		file_mover.py
file_times.py		file_times.py
license.txt		license.txt
ol16a.py		ol16a.py
old-t-view-settings.txt		old-t-view-settings.txt
requirements.txt		requirements.txt
run_pyradiant.bat		run_pyradiant.bat
run_pyradiant.py		run_pyradiant.py
run_pyradiant.sh		run_pyradiant.sh
settings_tview_load.py		settings_tview_load.py
tiftest.py		tiftest.py
tview_xml_parser.py		tview_xml_parser.py
versioneer.py		versioneer.py

Name		Name	Last commit message	Last commit date
.vscode		.vscode
2colour_pyrometry		2colour_pyrometry
old t-view screens		old t-view screens
pyradiant		pyradiant
.gitattributes		.gitattributes
.gitignore		.gitignore
FilePathSettings.json		FilePathSettings.json
FilePathSettings.py		FilePathSettings.py
FilePathSettingsGUI.py		FilePathSettingsGUI.py
README.md		README.md
build_pyradiant.spec		build_pyradiant.spec
changelog.rst		changelog.rst
file_average.py		file_average.py
file_mover.py		file_mover.py
file_times.py		file_times.py
license.txt		license.txt
ol16a.py		ol16a.py
old-t-view-settings.txt		old-t-view-settings.txt
requirements.txt		requirements.txt
run_pyradiant.bat		run_pyradiant.bat
run_pyradiant.py		run_pyradiant.py
run_pyradiant.sh		run_pyradiant.sh
settings_tview_load.py		settings_tview_load.py
tiftest.py		tiftest.py
tview_xml_parser.py		tview_xml_parser.py
versioneer.py		versioneer.py

Name		Name	Last commit message	Last commit date
.vscode		.vscode
2colour_pyrometry		2colour_pyrometry
old t-view screens		old t-view screens
pyradiant		pyradiant
.gitattributes		.gitattributes
.gitignore		.gitignore
FilePathSettings.json		FilePathSettings.json
FilePathSettings.py		FilePathSettings.py
FilePathSettingsGUI.py		FilePathSettingsGUI.py
README.md		README.md
build_pyradiant.spec		build_pyradiant.spec
changelog.rst		changelog.rst
file_average.py		file_average.py
file_mover.py		file_mover.py
file_times.py		file_times.py
license.txt		license.txt
ol16a.py		ol16a.py
old-t-view-settings.txt		old-t-view-settings.txt
requirements.txt		requirements.txt
run_pyradiant.bat		run_pyradiant.bat
run_pyradiant.py		run_pyradiant.py
run_pyradiant.sh		run_pyradiant.sh
settings_tview_load.py		settings_tview_load.py
tiftest.py		tiftest.py
tview_xml_parser.py		tview_xml_parser.py
versioneer.py		versioneer.py

Name		Name	Last commit message	Last commit date
.vscode		.vscode
2colour_pyrometry		2colour_pyrometry
old t-view screens		old t-view screens
pyradiant		pyradiant
.gitattributes		.gitattributes
.gitignore		.gitignore
FilePathSettings.json		FilePathSettings.json
FilePathSettings.py		FilePathSettings.py
FilePathSettingsGUI.py		FilePathSettingsGUI.py
README.md		README.md
build_pyradiant.spec		build_pyradiant.spec
changelog.rst		changelog.rst
file_average.py		file_average.py
file_mover.py		file_mover.py
file_times.py		file_times.py
license.txt		license.txt
ol16a.py		ol16a.py
old-t-view-settings.txt		old-t-view-settings.txt
requirements.txt		requirements.txt
run_pyradiant.bat		run_pyradiant.bat
run_pyradiant.py		run_pyradiant.py
run_pyradiant.sh		run_pyradiant.sh
settings_tview_load.py		settings_tview_load.py
tiftest.py		tiftest.py
tview_xml_parser.py		tview_xml_parser.py
versioneer.py		versioneer.py

Name		Name	Last commit message	Last commit date
.vscode		.vscode
2colour_pyrometry		2colour_pyrometry
old t-view screens		old t-view screens
pyradiant		pyradiant
.gitattributes		.gitattributes
.gitignore		.gitignore
FilePathSettings.json		FilePathSettings.json
FilePathSettings.py		FilePathSettings.py
FilePathSettingsGUI.py		FilePathSettingsGUI.py
README.md		README.md
build_pyradiant.spec		build_pyradiant.spec
changelog.rst		changelog.rst
file_average.py		file_average.py
file_mover.py		file_mover.py
file_times.py		file_times.py
license.txt		license.txt
ol16a.py		ol16a.py
old-t-view-settings.txt		old-t-view-settings.txt
requirements.txt		requirements.txt
run_pyradiant.bat		run_pyradiant.bat
run_pyradiant.py		run_pyradiant.py
run_pyradiant.sh		run_pyradiant.sh
settings_tview_load.py		settings_tview_load.py
tiftest.py		tiftest.py
tview_xml_parser.py		tview_xml_parser.py
versioneer.py		versioneer.py

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PyRadiant Installation Guide (via Conda)

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PyRadiant Installation Guide (via Conda)

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PyRadiant

Maintainer

PyRadiant Installation Guide (via Conda)

Requirements

Step-by-Step Setup

Notes

Wrapper Launch Scripts

About

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