Abstract
libRL: A Python library for the characterization of microwave absorption
Highlights
In order to best mitigate these difficulties, presented is a Python library for reflection loss characterization, designed for open use by the radar-absorbing materials (RAM) development community
Ever since the revelation that reflection loss as a parameter of interest was shown to not be the defining characteristic of radar-absorbing materials (RAM) (Green & Chen, 2019; Green, Liu, et al, 2019; Green, Tran, et al, 2019), the RAM development community has been bereft of the tools necessary to determine the parameters desired by the new RAM performance hierarchy
The libRL library contains functions and procedures which take permittivity and permeability data derived from experimentation, and calculates the various sets of parameters desired for the full characterization of radar-absorbing materials
Summary
In order to best mitigate these difficulties, presented is a Python library for reflection loss characterization, designed for open use by the RAM development community. 1 Department of Chemistry, University of Missouri−Kansas City, MO 64110, U.S.A. Ever since the revelation that reflection loss as a parameter of interest was shown to not be the defining characteristic of radar-absorbing materials (RAM) (Green & Chen, 2019; Green, Liu, et al, 2019; Green, Tran, et al, 2019), the RAM development community has been bereft of the tools necessary to determine the parameters desired by the new RAM performance hierarchy. Elucidating the new parameters of interest, such as the effective bandwidth, requires non-trivial derivations and calculations that many labs in the RAM community are not prepared to handle, at least not at the scale necessary for thorough characterization.
Sign-in/Register to view highlights & summary 
Published Version (
Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call