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/master --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 7.0)
• Sensornet Ltd.: Oryx & Halo .ddf files
• AP Sensing: CP320 .xml files (single ended only)
• SensorTran: SensorTran 5100 .dat binary files (single ended only)

Learn by examples

Interactively run the example notebooks online by clicking here.

Documentation

https://python-dts-calibration.readthedocs.io/

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:

1. Check the version of dtscalibration that is used in your Python console with:

   >>> import dtscalibration
   >>> dtscalibration.__version__
   '1.0.0'

2. Go to Zenodo and follow the link to the version of interest.

3. The citation is found on the bottom right of the page.