======== Overview

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* - Docs
  - |docs|
* - Tests
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* - Package
  - | |version| |supported-versions| |commits-since|
* - Citable
  - |zenodo|
* - Example notebooks
  - |example-notebooks|

.. |docs| image:: https://readthedocs.org/projects/python-dts-calibration/badge/?style=flat :target: https://python-dts-calibration.readthedocs.io/en/latest/ :alt: Documentation Status

.. |tests| image:: https://github.com/dtscalibration/python-dts-calibration/actions/workflows/build.yml/badge.svg :target: https://github.com/dtscalibration/python-dts-calibration/actions/workflows/build.yml :alt: Test Status

.. |version| image:: https://img.shields.io/pypi/v/dtscalibration.svg :alt: PyPI Package latest release :target: https://pypi.python.org/pypi/dtscalibration

.. |commits-since| image:: https://img.shields.io/github/commits-since/dtscalibration/python-dts-calibration/v3.0.3.svg :alt: Commits since latest release :target: https://github.com/dtscalibration/python-dts-calibration/compare/v1.1.1...main

.. |wheel| image:: https://img.shields.io/pypi/wheel/dtscalibration.svg :alt: PyPI Wheel :target: https://pypi.python.org/pypi/dtscalibration

.. |supported-versions| image:: https://img.shields.io/pypi/pyversions/dtscalibration.svg :alt: Supported versions :target: https://pypi.python.org/pypi/dtscalibration

.. |zenodo| image:: https://zenodo.org/badge/143077491.svg :alt: It would be greatly appreciated if you could cite this package in eg articles presentations :target: https://zenodo.org/badge/latestdoi/143077491

.. |example-notebooks| image:: https://mybinder.org/badge.svg :alt: Interactively run the example notebooks online :target: https://mybinder.org/v2/gh/dtscalibration/python-dts-calibration/main?labpath=docs%2Fnotebooks

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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

.. code-block:: zsh

pip install dtscalibration

Or the development version directly from GitHub

.. code-block:: zsh

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 <https://github.com/dtscalibration/python-dts-calibration/blob/main/docs/notebooks/07Calibrate_single_ended.ipynb>- and double-ended <https://github.com/dtscalibration/python-dts-calibration/blob/main/docs/notebooks/08Calibrate_double_ended.ipynb> 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 <https://github.com/dtscalibration/python-dts-calibration/blob/main/docs/notebooks/13Fixed_parameter_calibration.ipynb>_
  • (Asymmetric) step loss correction <https://github.com/dtscalibration/python-dts-calibration/blob/main/docs/notebooks/14Lossy_splices.ipynb>_ so that fiber connectors can be used instead of welds/splices.
  • Matching temperature sections <https://github.com/dtscalibration/python-dts-calibration/blob/main/docs/notebooks/15Matching_sections.ipynb>_ 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: CP320 .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 <https://github.com/dtscalibration/python-dts-calibration/blob/main/docs/notebooks/07Calibrate_single_ended.ipynb>_ and for double-ended setups in 08Calibrate_double_ended.ipynb <https://github.com/dtscalibration/python-dts-calibration/blob/main/docs/notebooks/08Calibrate_double_ended.ipynb>_.
• Documentation at readthedocs <https://python-dts-calibration.readthedocs.io/en/latest/>_.
• Example notebooks (./docs/notebooks) that work within the browser can be viewed here <https://mybinder.org/v2/gh/dtscalibration/python-dts-calibration/main?labpath=docs%2Fnotebooks>_.

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:

   The following line introduces the .dts accessor for xarray datasets

   import dtscalibration # noqa: E401 dtscalibration.version '3.0.1'

2. Go to Zenodo <https://zenodo.org/search?q=conceptrecid:%221410097%22&sort=-version&all_versions=True>_ and follow the link to the version of interest.

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