Spectroscopic signatures of emergent elementary excitations in a kinetically constrained long-range interacting two-dimensional spin system

Data for: Spectroscopic signatures of emergent elementary excitations in a kinetically constrained long-range interacting two-dimensional spin system Function of python scripts in this folder: Fig 2: corr_reduced.py: creates data for correlations in reduced model (V_1=50Omega) and saves it in data_reduced folder. Additionally, gives a plot with the corresponding correlations. corr_exact.py: creates data for correlations in the exact model (for V_1=1Omega and V_1=50Omega) and saves data in data_exact/V_1-1_Omega and data_exact/V_1-50_Omega. Additionally, gives a plot with the corresponding correlations. Fig_2.py: Creates Fig 2. from the data of the reduced (data_reduced) and exact (data_exact) model. Saves figures in 002_Figures (SVG and PDF) Fig 3: exact_spectroscopy.py: creates data for exact model spectroscopy with variable lattice size (maximally 3x3), Omega, Omega_rf. Here, one uses automatically VdW interactions V_2=V_1/8 and V_3=V_1/64. Saves data in same folder, which then has to be placed into the correct data folder data_NxN/exact/ M_E-N.py: creates data for resonant matrix element M_E for different variable lattice sizes (maximally 20x20) and saves data in corresponding folder. Additionally, gives plot of the data. reduced_spectroscopy.py: creates spectrum data for M_E dependent on adjustable lattice size. Saves data in same folder, which then has to be placed into the correct data folder data_NxN/reduced/ Fig_3.py: extracts data from corresponding folders and creates Fig 3, and saves it in 002_Figures (SVG and PDF). This is without the manually added inset in panel (a) of the level spectra. Fig B1: 2-fac_time_resolved.py: creates data of time-resolved spectrum for 2 atoms under facilitation and saves it in data folder. Additionally, gives plot of the data. Fig_B1.py: extracts data from corresponding folder and creates Fig B1, and saves it in 002_Figures (SVG and PDF). Contact: [Tobias Kaltenmark](mailto:[email protected])

Authors

Publication Details

Journal
Physical review. A/Physical review, A
Published
2026-03-12
DOI
https://doi.org/10.1103/cdz9-rxn2
Primary Topic
Quantum many-body systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Spectroscopic signatures of emergent elementary excitations in a kinetically constrained long-range interacting two-dimensional spin system

Tobias Kaltenmark
Physical review. A/Physical review, A
Quantum many-body systems
article

Spectroscopic signatures of emergent elementary excitations in a kinetically constrained long-range interacting two-dimensional spin system

Tobias Kaltenmark
article en

Abstract

Data for: Spectroscopic signatures of emergent elementary excitations in a kinetically constrained long-range interacting two-dimensional spin system Function of python scripts in this folder: Fig 2: corr_reduced.py: creates data for correlations in reduced model (V_1=50Omega) and saves it in data_reduced folder. Additionally, gives a plot with the corresponding correlations. corr_exact.py: creates data for correlations in the exact model (for V_1=1Omega and V_1=50Omega) and saves data in data_exact/V_1-1_Omega and data_exact/V_1-50_Omega. Additionally, gives a plot with the corresponding correlations. Fig_2.py: Creates Fig 2. from the data of the reduced (data_reduced) and exact (data_exact) model. Saves figures in 002_Figures (SVG and PDF) Fig 3: exact_spectroscopy.py: creates data for exact model spectroscopy with variable lattice size (maximally 3x3), Omega, Omega_rf. Here, one uses automatically VdW interactions V_2=V_1/8 and V_3=V_1/64. Saves data in same folder, which then has to be placed into the correct data folder data_NxN/exact/ M_E-N.py: creates data for resonant matrix element M_E for different variable lattice sizes (maximally 20x20) and saves data in corresponding folder. Additionally, gives plot of the data. reduced_spectroscopy.py: creates spectrum data for M_E dependent on adjustable lattice size. Saves data in same folder, which then has to be placed into the correct data folder data_NxN/reduced/ Fig_3.py: extracts data from corresponding folders and creates Fig 3, and saves it in 002_Figures (SVG and PDF). This is without the manually added inset in panel (a) of the level spectra. Fig B1: 2-fac_time_resolved.py: creates data of time-resolved spectrum for 2 atoms under facilitation and saves it in data folder. Additionally, gives plot of the data. Fig_B1.py: extracts data from corresponding folder and creates Fig B1, and saves it in 002_Figures (SVG and PDF). Contact: [Tobias Kaltenmark](mailto:[email protected])

Physical review. A/Physical review, A
Openalex Percentile: Top 98%
Quantum many-body systems
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Spectroscopic signatures of emergent elementary excitations in a kinetically constrained long-range interacting two-dimensional spin system — Tobias Kaltenmark · Physical review. A/Physical review, A (2026) | TGRS Research Map | TGRS