2.3.1. DAQ Scan

This module is an extension of the DashBoard but is the heart of PyMoDAQ, it will:

• setup automatic data acquisition of detectors as a function of one or more actuators

• save datas in hierarchical hdf5 binary files (compatible with the H5Browser used to display/explore data)

The flow of this module is as follow:

• at startup you have to define/load a preset (see Preset manager) in the Dashboard

• Select DAQ_Scan in the actions menu

• A dataset will be declared the first time you set a scan. A dataset is equivalent to a single saved file containing multiple scans. One can see a dataset as a series of scans related to single subject/sample to be characterized.

• Metadata can be saved for each dataset and then for each scan and be later retrieved from the saved file (see Module Savers and H5Browser)

• Performs multiple scans exploring all the parameters needed for your experiment

Contents:

• 2.3.1.1. Introduction
• 2.3.1.2. Main Control Window
• 2.3.1.3. Scan Flow
  • 2.3.1.3.1. Selecting detectors and actuators
  • 2.3.1.3.2. Selecting the type of scan
  • 2.3.1.3.3. Selecting the data to render live
• 2.3.1.4. Various settings
  • 2.3.1.4.1. Toolbar
  • 2.3.1.4.2. Menu Bar Description
  • 2.3.1.4.3. Settings
    • 2.3.1.4.3.1. General Settings
    • 2.3.1.4.3.2. Saving: Dataset and scans
• 2.3.1.5. Scanner
  • 2.3.1.5.1. Scan1D
  • 2.3.1.5.2. Scan2D
  • 2.3.1.5.3. Sequential
  • 2.3.1.5.4. Tabular
    • 2.3.1.5.4.1. Tabular Linear/Manual case
    • 2.3.1.5.4.2. Tabular Linear/Polylines case
    • 2.3.1.5.4.3. Tabular Adaptive case
  • 2.3.1.5.5. Adaptive
    • 2.3.1.5.5.1. Bounds
    • 2.3.1.5.5.2. Feedback
    • 2.3.1.5.5.3. Loss
• 2.3.1.6. Navigator
• 2.3.1.7. Scan Batch Manager