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Supported instruments

  • Supported instruments

Documentation

  • 1. Quick Start
  • 2. User’s Guide
    • 2.1. Tips/Issues for installation
    • 2.2. Launcher
    • 2.3. DashBoard and Control Modules
    • 2.4. Dashboard Extensions
      • 2.4.1. DAQ Scan
      • 2.4.2. DAQ Logger
      • 2.4.3. PID Module
      • 2.4.4. Bayesian Optimisation
      • 2.4.5. Adaptive Scanning
      • 2.4.6. DataMixer
      • 2.4.7. Console
    • 2.5. Configuration
    • 2.6. Module Manager
    • 2.7. DashBoard Managers
    • 2.8. LECO communication
    • 2.9. Scripting PyMoDAQ
    • 2.10. Plugin Manager
    • 2.11. Environment backups
    • 2.12. Other Modules
    • 2.13. TCP/IP communication
  • 3. Tutorials
  • 4. Lab Stories
  • 5. Data Management
  • 6. Developer’s Guide
  • 7. Glossary Terms
  • 8. Library Reference
  • 9. About

Related projects

  • PyMoDAQ Femto
  • PyMoDAQ Plugins DAQmx
PyMoDAQ
  • 2. User’s Guide
  • 2.4. Dashboard Extensions
  • View page source

2.4. Dashboard Extensions

The DashBoard module can load extensions to perform dedicated tasks, such as automated data acquisition.

Contents:

  • 2.4.1. DAQ Scan
    • 2.4.1.1. Introduction
    • 2.4.1.2. Main Control Window
    • 2.4.1.3. Scan Flow
    • 2.4.1.4. Various settings
    • 2.4.1.5. Scanner
    • 2.4.1.6. Navigator
    • 2.4.1.7. Scan Batch Manager
  • 2.4.2. DAQ Logger
    • 2.4.2.1. Introduction
    • 2.4.2.2. Main Control Window
    • 2.4.2.3. H5 saving
    • 2.4.2.4. SQL Database saving
  • 2.4.3. PID Module
    • 2.4.3.1. Introduction
    • 2.4.3.2. Demonstration with a virtual beam steering system
    • 2.4.3.3. How to write my own PID application?
    • 2.4.3.4. PID module internals
  • 2.4.4. Bayesian Optimisation
    • 2.4.4.1. Introduction
    • 2.4.4.2. Usage
  • 2.4.5. Adaptive Scanning
    • 2.4.5.1. Introduction
  • 2.4.6. DataMixer
    • 2.4.6.1. Introduction
    • 2.4.6.2. Usage
    • 2.4.6.3. Emulating a virtual detector
    • 2.4.6.4. Example of code for a Model
  • 2.4.7. Console
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