Skip to main content

Quantum Materials Data Acquisition and Processing

GitHub release version License GitHub Size Python Versions Last updated

Table of Content

  1. Description
  2. Requirements
  3. Installation
  4. Usage
  5. Contact

Description

Quantum Materials Data Acquisition and Processing QuDAP, a Python-based and open-source software package, is designed to control and automate material characterizations based on the Physical Property Measurement System (PPMS). The software supports major hardware interfaces and protocols (USB, RS232, GPIB, and Ethernet), enabling communication with the measurement modules associated with the PPMS. It integrates multiple Python libraries to realize instrument control, data acquisition, and real-time data visualization. Here, we present features of QuDAP, including direct control of instruments without relying on proprietary software, real-time data plotting for immediate verification and analysis, full automation of data acquisition and storage, and real-time notifications of experiment status and errors. These capabilities enhance experimental efficiency, reliability, and reproducibility.

The software provides the benefits as summarized below:

  1. Provide direct Python script communication and control of PPMS and instruments without using the built-in software, which improves the tunability and efficiency of the experiment.

  2. Built-in demagnetization process before each measurement to enhance the reliability of the measurement.

  3. Fully automated data acquisition and saving process with real-time plotting and progress visualization.

  4. Save the data with specific identifiers to avoid data overwrite and record the experiment configuration of each measurement.

  5. Real-time notification on the measurement status and program error through push notification, allowing the user to promptly identify and verify the experimental and parameter setup.

Note: This package is for academic and educational research (WITHOUT WARRANTIES, our software does not collect any data from users).

Requirements

  1. QuDAP is compatible with Python 3.10 or newer.

Installation

QuDAP is available via PyPi for Windows and can be installed by:

$ pip install QuDAP

or installed from source:

git clone https://github.com/CharlieGPA40/QuDAP.git
cd QuDAP
pip install .

To run the program, run theQuDAP/StartGUI.py or

$ python ./QuDAP/StartGUI.py

Usage

Check the docs file to learn how to use the software.

Demonstration

  1. Software interface and experimental setup line

Contact

This project is contributed by:

  • Chunli Tang (Auburn University – Electrical and Computer Engineering: chunli.tang@auburn.edu)
  • Skai White and Jingyu Jia

Advisor:

Metadata

Release files for QuDAP 0.0.5

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for QuDAP 0.0.5
File Size Uploaded
qudap-0.0.5.tar.gz 5.7 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for QuDAP 0.0.5
File Interpreter ABI Platform
qudap-0.0.5-py3-none-any.whl Python 3 none any Details

Total release size: 9.9 MB

Release files / qudap-0.0.5.tar.gz

Download URL qudap-0.0.5.tar.gz
Size 5.7 MB
Tags Source
SHA-256 checksum
How to use checksums
7b0c943ab848aef38b1335e90069f88da30c4f7945145c9f5cc7bc2da3dfa6c5
BLAKE2b-256 checksum
How to use checksums
642c709b338e07fd103bb1563b98c55be5533473d3098cf1abbd6d939698c831
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.12.3

Release files / qudap-0.0.5-py3-none-any.whl

Download URL qudap-0.0.5-py3-none-any.whl
Size 4.1 MB
Tags Python 3
SHA-256 checksum
How to use checksums
73f07f3a41bec019f6631635da7fa43ab20a647af1f97bf88e3c6a5db85355f1
BLAKE2b-256 checksum
How to use checksums
7dd9250a980b5c18fd50c8b6256fee7ca716c060d62f0abd8545edd3973c80fa
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.12.3

Release history Release notifications | RSS feed

This release

0.0.5 This release

2 release files

0.0.4

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page