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djshiltz/macroscopic-roughness-correction: Public Release v1.0.3

Authors: Dylan Shiltz;

djshiltz/macroscopic-roughness-correction: Public Release v1.0.3

Abstract

This repository contains Python code and laboratory data used in the publication "An Alternative to Hapke's Macroscopic Roughness Correction" by Dylan J. Shiltz and Charles M. Bachmann, which is accepted for publication by the journal Icarus. A Python implementation for the following models is included: Hapke's original macroscopic roughness correction, published in (Hapke, B., 1984, "Bidirectional Spectroscopy: 3. Correction for Macroscopic Roughness", Icarus, 59, 41-59) Hapke's modification for multi-facet scattering, published in Ch. 12 of (Hapke, B., 2012, "Theory of Reflectance and Emittance Spectroscopy", Cambridge University Press) The roughness correction proposed by Shiltz and Bachmann The single-facet Monte Carlo model used to validate the single-facet portion of Shiltz and Bachmann's model The code for these models is included in the roughness_models directory. Raw and processed data is included in the data directory. The code used to run the models on the raw data and produce the processed data is included in the processing directory. The figures showing the model results, as well as the code used to produce the figures, is included in the results directory. This code was developed using Python version 3.9, with the required packages identified in requirements.txt.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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