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 .

Do you have questions, ideas or just want to say hi? Please leave a message on the ` discussions page <https://github.com/dtscalibration/python-dts-calibration/discussions>`_!

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

DTS measures temperature by calibrating backscatter measurements to sections with a known temperature. DTS devices provide a simple interface to perform a limited calibration. Re-calibrating your measurements with this Python package gives you better temperature estimates and additional options.

Advanced calibration routine
- Supports single- and double-ended setups
- Compute uncertainty of the calibrated temperature
- All measurements are used to estimate parameter values that are constant over time.
- Weighted least-squares calibration
- Fixing parameters to a previously determined value
- (Asymmetric) step loss correction so that fiber connectors can be used instead of welds/splices.
- Matching temperature sections to support J-configurations
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: N4386B .xml files (single ended only)
SensorTran: SensorTran 5100 .dat binary files (single ended only)

Documentation

A full calibration procedure for single-ended setups is presented in notebook 07Calibrate_single_ended.ipynb and for double-ended setups in 08Calibrate_double_ended.ipynb.
Documentation at readthedocs.
Example notebooks (./docs/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:

>>> # The following line introduces the .dts accessor for xarray datasets
>>> import dtscalibration  # noqa: E401
>>> dtscalibration.__version__
'3.0.1'

Go to Zenodo and follow the link to the version of interest.
The citation is found on the bottom right of the page.