swindpy
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Contents:

  • 1. Swindpy
  • 2. Theory
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  • Welcome to Swindpy’s documentation!
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Welcome to Swindpy’s documentation!¶

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Contents:

  • 1. Swindpy
    • 1.1. Motivation
    • 1.2. Requeriments
    • 1.3. Dependencies for this project
    • 1.4. Installation
    • 1.5. Tutorial
    • 1.6. Tools that we use so far
    • 1.7. Contact
    • 1.8. Issues
    • 1.9. Links
    • 1.10. Credits
    • 1.11. License
  • 2. Theory
    • 2.1. Introduction
    • 2.2. Section 1
    • 2.3. Minimun Variance Technique
      • 2.3.1. The Method
      • 2.3.2. Minimun Variance method applied to magnetic clouds
    • 2.4. Section 2
    • 2.5. Aknowledgements
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© Copyright 2022, Adriana Gulisano, Adel Arja, Violeta Bazzano, Ricardo Pafundi. Revision c5d12487.

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