Cogwheel phase cycling in population-detected optical coherent multidimensional spectroscopy
Ajay Jayachandran, Stefan Mueller, Tobias Brixner

TL;DR
This paper introduces and evaluates cogwheel phase cycling for population-detected optical multidimensional spectroscopy, demonstrating its efficiency in isolating nonlinear signals with fewer steps than traditional nested phase cycling.
Contribution
It adapts cogwheel phase cycling from NMR to optical spectroscopy, deriving selection rules, optimizing winding numbers, and experimentally comparing its performance to nested phase cycling.
Findings
Cogwheel phase cycling captures nonlinear signals with fewer steps.
Experimental results show effective separation of signals.
The method is more economical than nested phase cycling.
Abstract
An integral procedure in every coherent multidimensional spectroscopy experiment is to suppress undesired background signals. For that purpose, one can employ a particular phase-matching geometry or phase cycling, a procedure that was adapted from nuclear magnetic resonance (NMR) spectroscopy. In optical multidimensional spectroscopy, phase cycling has been usually carried out in a "nested" fashion, where pulse phases are incremented sequentially with linearly spaced increments. Another phase-cycling approach which was developed for NMR spectroscopy is "cogwheel phase cycling," where all pulse phases are varied simultaneously in increments defined by so-called "winding numbers". Here we explore the concept of cogwheel phase cycling in the context of population-based coherent multidimensional spectroscopy. We derive selection rules for resolving and extracting fourth-order and…
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