Skip to main content

Measurement code for condensed matter groups at UW based on QCoDeS.

Project description

MeasureIt Documentation Status

Measurement software based on QCoDeS, developed in University of Washington physics.

Community information

Join our slack channel!

High-Level Design

MeasureIt is a measurement software package built on top of QCoDeS for physics experiments. The architecture follows these key patterns:

Core Architecture

  • Sweep-based Measurement System: The core abstraction is the BaseSweep class with specialized implementations (Sweep0D, Sweep1D, Sweep2D) for different dimensional measurements
  • Qt-based Threading: Uses PyQt5 with separate threads for data acquisition (RunnerThread) and plotting (PlotterThread)
  • Driver Layer: Custom instrument drivers in the Drivers/ module that interface with various lab equipment
  • Notebook Workflow: Designed for Jupyter/CLI usage; PyQt5 powers background threading and signaling
  • Data Management: Integration with QCoDeS for data storage and experiment management

Key Components

  • Base Classes: BaseSweep provides the foundation with parameter following, measurement creation, and thread management
  • Measurement Types:
    • 0D (time-based measurements)
    • 1D (single parameter sweep)
    • 2D (dual parameter sweep)
  • Queue System: SweepQueue for batch experiment execution
  • Real-time Plotting: Live data visualization during measurements
  • Station Management: QCoDeS Station integration for instrument management

Package Structure

src/measureit/
    sweep/             # Measurement implementations
    base_sweep.py      # Core sweep functionality
    tools/             # Data utilities and sweep helpers
    Drivers/           # Instrument drivers
    visualization/     # Plotting helpers

Quick Start

Prerequisites

Installation

Using pip (recommended)

pip install qmeasure

Note: The package is installed as qmeasure, but you import it as measureit:

import measureit  # Import name stays the same

From source

git clone https://github.com/nanophys/MeasureIt.git
cd MeasureIt
pip install -e .

Data Directory Configuration

MeasureIt (installed as qmeasure) stores databases, logs, and configuration files. You have three options:

Option 1: Use defaults

Data is automatically stored in OS-appropriate locations:

  • Linux: ~/.local/share/measureit/
  • macOS: ~/Library/Application Support/measureit/
  • Windows: C:\Users\<username>\AppData\Local\measureit\

Option 2: Set environment variable (recommended)

export MEASUREIT_HOME="/path/to/your/data"  # Linux/macOS
set MEASUREIT_HOME="C:\path\to\data"        # Windows

Option 3: Programmatic configuration

import measureit
measureit.set_data_dir('/custom/path')

Updating MeasureIt (development version)

cd /path/to/MeasureIt
git pull
pip install -e . --upgrade

Known Issues

  • ipykernel 7.0.x has a dormant event-loop bug that prevents the Qt/pyqtgraph plotter from updating. Stick to ipykernel>=6.29 (or the newer 7.1+ series).

Installation & Updating

It is useful to first create a conda environment to manage all the required packages for this package to work. First, download some form of conda (Miniforge3 is strongly recommended since it comes with mamba):

Basic Usage

Programmatic Usage

import measureit
from qcodes import Station

# Create a station and add instruments
station = Station()
# ... add your instruments ...

# Choose where databases should be stored (optional)
measureit.set_data_dir("/path/to/measureit-data")

# Create a 1D sweep
sweep = measureit.Sweep1D(
    set_param=dac.voltage,
    start=0,
    stop=1,
    step=0.01,
    inter_delay=0.1
)

# Follow parameters to measure
sweep.follow_param(dmm.voltage, lockin.x)

# Start the measurement
sweep.start()

Documentation

Building Documentation

# Install documentation dependencies
uv pip install -e ".[docs]"  # or pip install -e ".[docs]"

# Build HTML documentation
cd docs/source
make html

The documentation is located in the docs/source directory. The built documentation will be in docs/source/_build/html/.

Online Documentation

Visit our online documentation for detailed guides and API reference.

Contributing

We welcome contributions! Please see CONTRIBUTING.md for detailed information about:

  • Setting up a development environment
  • Code quality standards and tools
  • Testing guidelines
  • Documentation standards
  • Submitting pull requests

For quick development setup:

# Clone and set up development environment
git clone https://github.com/nanophys/MeasureIt
cd MeasureIt
uv pip install -e ".[dev,docs,jupyter]"  # or pip install -e ".[dev,docs,jupyter]"

External links and active known users

Seattle

David Cobden's lab

Xiaodong Xu's lab

Cambridge

Pablo Jarillo-Herrero's lab

Long Ju's lab

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

qmeasure-1.0.1.tar.gz (124.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

qmeasure-1.0.1-py3-none-any.whl (144.5 kB view details)

Uploaded Python 3

File details

Details for the file qmeasure-1.0.1.tar.gz.

File metadata

  • Download URL: qmeasure-1.0.1.tar.gz
  • Upload date:
  • Size: 124.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.14

File hashes

Hashes for qmeasure-1.0.1.tar.gz
Algorithm Hash digest
SHA256 cdc29f32dcabe3aa0de1f962f7c8a3860adfbf6699de2b67004cedff91096510
MD5 6d6ba502d78b4f2bdf92c26d925fbee4
BLAKE2b-256 89f1ef97a0cc232d19ded4be2bc0e16fe92e5bca6a565e54e2b1ccbbfbf1dbc2

See more details on using hashes here.

File details

Details for the file qmeasure-1.0.1-py3-none-any.whl.

File metadata

  • Download URL: qmeasure-1.0.1-py3-none-any.whl
  • Upload date:
  • Size: 144.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.14

File hashes

Hashes for qmeasure-1.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 359e612ff6052874a976c7dfbc969c8e215e27940c19887c2c30efdc582a1867
MD5 785866715433bd6567ae00f3952abef0
BLAKE2b-256 8bc8ea563e279f25df4f0bf65741b6e35aa2b47714df9a33409bda980ce94ed0

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page