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The average temperature of Earth is the subject of much current discussion. Earth is in radiative contact with both the Sun and dark space; it receives almost all its energy from the radiation of the Sun and reflects some of it into outer space. Dark space is very cold, about 3 K, so Earth radiates energy into it. For instance, heat transfer occurs from soil and grasses, the rate of which can be so rapid that frost can occur on clear summer evenings, even in warm latitudes.
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Electromagnetic waves are categorized according to their wavelengths and frequencies, giving the electromagnetic spectrum. These waves are classified as radio, infrared, ultraviolet, etc. Radio waves refer to electromagnetic radiation with wavelengths ranging from millimeters to kilometers. Radio waves are commonly used for audio communications (i.e., radios) and typically result from an alternating current in the wires of a broadcast antenna. They cover a broad wavelength range and are used...
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Related Experiment Video

Updated: May 6, 2026

A Basic Positron Emission Tomography System Constructed to Locate a Radioactive Source in a Bi-dimensional Space
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RETRACTED: He et al. The Multi-Station Fusion-Based Radiation Source Localization Method Based on Spectrum Energy.

Guojin He1, Yulong Hao2, Yaocong Xie3

  • 1China Research Institute of Radiowave Propagation, Qingdao 266107, China.

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Summary

This study on radiation source localization has been retracted by the journal Sensors. The article focused on a multi-station fusion-based method utilizing spectrum energy for accurate detection.

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Area of Science:

  • Radiation detection and localization
  • Signal processing
  • Data fusion techniques

Background:

  • Accurate localization of radiation sources is critical for public safety and nuclear security.
  • Existing methods face challenges in complex environments and with limited sensor data.
  • The development of advanced fusion-based algorithms is essential for improving localization accuracy.

Purpose of the Study:

  • To present a novel multi-station fusion-based radiation source localization method.
  • To enhance localization accuracy by integrating spectrum energy information.
  • To validate the proposed method's effectiveness in diverse scenarios.

Main Methods:

  • Utilized a multi-station sensor network for data acquisition.
  • Developed a fusion algorithm integrating spectrum energy characteristics.
  • Employed advanced signal processing techniques for data analysis.

Main Results:

  • The study aimed to demonstrate improved localization precision compared to existing methods.
  • The fusion-based approach was intended to enhance robustness in noisy environments.
  • Specific performance metrics were to be detailed in the original publication.

Conclusions:

  • The article's findings on radiation source localization are no longer considered valid.
  • The retraction indicates potential issues with the methodology or results presented.
  • Further research in this area should consider the reasons for this retraction.