Robust matching rules for real quasicrystals
Pavel Kalugin, Andr\'e Katz

TL;DR
This paper introduces a geometric and homological framework for extracting minimal-range matching rules from quasicrystal diffraction data, ensuring robustness against defects and capturing long-range order.
Contribution
It presents a novel algorithmic approach combining geometric and homological methods to derive minimal-range matching rules directly from diffraction data.
Findings
Successfully extracts shortest possible matching rules from diffraction data.
Framework tolerates defects, maintaining robustness.
Ensures long-range quasiperiodic order in derived rules.
Abstract
We consider the problem of extraction and validation of matching rules, directly from the phased diffraction data of a quasicrystal, and propose an algorithmic procedure to produce the rules of the shortest possible range. We have developed a geometric framework to express such rules together with a homological mechanism enforcing the long-range quasiperiodic order. This mechanism tolerates the presence of defects in a robust way.
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