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Determination of Crystal Structures01:29

Determination of Crystal Structures

In the late 1800s, the revelation that light extended beyond visible wavelengths led to the discovery of X-rays by Wilhelm Roentgen. Recognized as high-energy electromagnetic radiation with short wavelengths, X-rays prompted exploration into their interaction with crystals. Max von Laue proposed in 1912 that the periodic arrangement of atoms, ions, or molecules in crystals would cause them to diffract X-rays, a hypothesis confirmed through experiments with copper sulfate and zinc sulfide...

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Related Experiment Video

Updated: Jul 2, 2026

A Basic Positron Emission Tomography System Constructed to Locate a Radioactive Source in a Bi-dimensional Space
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The Practice of Detecting Potential Cosmic Rays Using CMOS Cameras: Hardware and Algorithms.

Tomasz Hachaj1, Marcin Piekarczyk1

  • 1Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Krakow, Al. Mickiewicza 30, 30-059 Krakow, Poland.

Sensors (Basel, Switzerland)
|July 11, 2023
PubMed
Summary
This summary is machine-generated.

This study presents a new real-time algorithm for detecting cosmic ray tracks using CMOS cameras. The developed hardware and software overcome limitations of current methods, offering accessible data and code for cosmic ray detection research.

Keywords:
CMOS sensorscosmic ray detectionimage processinglow-power devices

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Area of Science:

  • Physics
  • Astrophysics
  • Instrumentation

Background:

  • Cosmic ray detection is crucial for understanding high-energy particle physics.
  • Existing methods for cosmic ray detection using CMOS cameras face hardware and software limitations.
  • There is a need for efficient, real-time algorithms and accessible hardware solutions.

Purpose of the Study:

  • To explore the feasibility of cosmic ray detection using off-the-shelf CMOS cameras.
  • To identify and address limitations in current hardware and software approaches.
  • To develop and validate a novel real-time algorithm for cosmic ray track detection.

Main Methods:

  • Development of a custom hardware solution for long-term algorithm testing.
  • Proposal, implementation, and testing of a novel real-time image processing algorithm.
  • Comparison of the proposed algorithm's performance against published results.

Main Results:

  • Demonstrated a novel algorithm for real-time processing of CMOS camera frames.
  • Achieved acceptable results in detecting potential particle tracks.
  • Overcame specific limitations of existing cosmic ray detection algorithms.
  • Developed a hardware solution for sustained algorithm evaluation.

Conclusions:

  • The proposed real-time algorithm offers a viable solution for cosmic ray detection with CMOS cameras.
  • The developed hardware and software provide a valuable resource for the research community.
  • The study contributes to advancing accessible methods for cosmic ray detection.