Oscilloscope Data Push Program

Data acquisition (DAQ) is a complex and costly process. Creating DAQ systems for analyzing a system requires expensive electronics and a dedicated team of engineers for support, posing a challenge for users who readily need data. This project is a proof of concept to create a temporary or one-off DAQ system using equipment commonly available to every team. We aim to automate the data acquisition process from the Rohde \& Schwarz RTO 1044 oscilloscope, convert the acquired binary data into floating point values, and store the results in a CSV file format. By developing a Python program to handle these tasks, we seek to reduce the manual effort involved in data collection, significantly increasing efficiency.

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Publication Details

Published
2024-08-05
DOI
https://doi.org/10.2172/2426479
Primary Topic
Computational Physics and Python Applications
Type
article
Field-Weighted Citation Impact
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article

Oscilloscope Data Push Program

Jason Osei-Tutu, Jose Rivera
Computational Physics and Python Applications
article

Oscilloscope Data Push Program

Jason Osei-Tutu, Jose Rivera
article en

Abstract

Data acquisition (DAQ) is a complex and costly process. Creating DAQ systems for analyzing a system requires expensive electronics and a dedicated team of engineers for support, posing a challenge for users who readily need data. This project is a proof of concept to create a temporary or one-off DAQ system using equipment commonly available to every team. We aim to automate the data acquisition process from the Rohde \& Schwarz RTO 1044 oscilloscope, convert the acquired binary data into floating point values, and store the results in a CSV file format. By developing a Python program to handle these tasks, we seek to reduce the manual effort involved in data collection, significantly increasing efficiency.

Fermi National Accelerator Laboratory (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 89%
Computational Physics and Python Applications
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