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Carnegie Museum of Natural History (2024) Detecting Objects with Invisible Waves: Using Radar, Sonar, and Echolocation to ‘See’.
https://carnegiemnh.org/detecting-objects-with-invisible-waves-using-radar-sonar-and-echolocation-to-see/

has been cited by the following article:

• TITLE: A Study on Multivariable Interactions Concerning Radar Cross Section Reduction through Geometric Attributes

  AUTHORS: Evan Sharp

  KEYWORDS: Radar Cross Section, RCS, Geometrical Attributes, Radar, Stealth

  JOURNAL NAME: Journal of Applied Mathematics and Physics, Vol.12 No.7, July 26, 2024

  ABSTRACT: This resolution 5 (25−1 factorial) study aimed to ascertain an understanding of the interactions between different geometries on the resulting Radar Cross Section (RCS) of a target. The results of the study are in line with the general understanding of the impact different geometries have on RCS but show that geometries can also influence the variance of measured RCS, and typical attributes that reduce RCS increase the variance of the measured RCS. Notably, an increased angle between the front face of a plate and the direction of the radar signal decreased RCS but increased the variance of the RCS measured.