Published February 4, 2025 | Version v1

Data and processing scripts for: Towards detection of molecular parity violation via chiral co-sensing: the $^1$H/$^{31}$P model system

  • 1. ROR icon University of California, Berkeley
  • 2. Helmholtz-Institute of Physics Mainz
  • 3. ROR icon Johannes Gutenberg University Mainz
  • 4. ROR icon Institute for Bioengineering of Catalonia
  • 5. NVision Imaging Technologies
  • 6. ROR icon École Normale Supérieure - PSL
  • 7. ROR icon University of Maryland, College Park
  • 8. ROR icon Philipps University of Marburg
  • 9. EDMO icon Philipps-Universität Marburg
  • 10. ROR icon University of Kassel

Description

Abstract: "Fundamental weak interactions have been shown to violate parity in both nuclear and atomic systems. However, observation of parity violation in a molecular system has proven an elusive target. Nuclear spin dependent contributions of the weak interaction are expected to result in energetic differences between enantiomers manifesting in nuclear magnetic resonance (NMR) spectra as chemical shift differences on the order of parts-per-trillion to parts-per-billion ($\mu$Hz to mHz) for high-$Z$ nuclei. This method seeks to use simultaneous measurements of the diastereomeric splittings for a light and a heavy nucleus in solution-state NMR to resolve chemical shift differences persisting in a non-chiral environment between enantiomers of chiral compounds smaller than the typical high-field NMR linewidth. Sources of error must be identified and minimized to verify that the observed effect is, in fact, due to parity violation and not systematic effects. This paper presents a detailed analysis of a system incorporating $^{31}$P and $^{1}$H NMR to elucidate the systematic effects and to guide experiments with higher-$Z$ nuclei where molecular parity violation may be resolved."

This repository entry contains the raw data and python script used to process the data presented in the main text as well as part of the supplementary information. 

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PV_data_repository.zip

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Additional details

Related works

Is published in
Publication: 10.48550/arXiv.2412.20997 (DOI)

Funding

Alexander von Humboldt Foundation
Sofja Kovalevskaja
Deutsche Forschungsgemeinschaft
390831469: EXC 2118
Deutsche Forschungsgemeinschaft
Projektnummer 328961117, CRC 1319 ELCH
Fonds der Chemischen Industrie
Leibig fellowship
Carl Zeiss Foundation
HYMMS project P2022-03-044

Software

Programming language
Python