Overview¶

Docs
Tests
Package
Citable
Example notebooks

A Python package to load Distributed Temperature Sensing files, perform a calibration, and plot the result. A detailed description of the calibration procedure can be found at https://doi.org/10.3390/s20082235 .

Free software: BSD 3-Clause License

Installation¶

pip install dtscalibration

Or the development version directly from GitHub

pip install https://github.com/dtscalibration/python-dts-calibration/zipball/main --upgrade

Package features¶

Advanced calibration routine
- Both single- and double-ended setups
- Confidence intervals of calibrated temperature
- Time integration of calibration parameters
- Weighted least-squares calibration
- Fixing parameters to a previously determined value
- (Asymmetric) step loss correction
- Matching temperature sections
Dynamic reference section definition
Tools for merging and aligning double-ended setups
Data formats of most manufacturers are supported

Devices currently supported¶

Silixa Ltd.: Ultima & XT-DTS .xml files (up to version 8.1)
Sensornet Ltd.: Oryx, Halo & Sentinel .ddf files
AP Sensing: CP320 .xml files (single ended only)
SensorTran: SensorTran 5100 .dat binary files (single ended only)

Documentation¶

Documentation at https://python-dts-calibration.readthedocs.io/ .
Example notebooks that work within the browser can be viewed here.

How to cite¶

The following article explains and discusses the calibration procedure:

des Tombe, B., Schilperoort, B., & Bakker, M. (2020). Estimation of Temperature and Associated Uncertainty from Fiber-Optic Raman-Spectrum Distributed Temperature Sensing. Sensors, 20(8), 2235. https://doi.org/10.3390/s20082235

Cite the specific implementation / repository via Zenodo:

Check the version of dtscalibration that is used in your Python console with:
```
>>> import dtscalibration
>>> dtscalibration.__version__
'2.0.0'
```
Go to Zenodo and follow the link to the version of interest.
The citation is found on the bottom right of the page.