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Dataset
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update: {"version_comment"=>["Updated the \"License\". Added new files. Updated and renamed \"publication_data.zip\" (in V2) to \"data_and_analysis.zip\" ", "Included theoretical mode in addition to the experimental data and analysis. Updated the \"License\". Added new files. Updated and renamed \"publication_data.zip\" (in V2) to \"data_and_analysis.zip\" "]}
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2025-09-26T14:51:46Z
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Dataset
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update: {"publication_state"=>["version candidate under curator review", "released"], "release_date"=>[nil, Thu, 25 Sep 2025]}
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2025-09-25T15:31:42Z
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Dataset
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update: {"version_comment"=>["Updated the \"License\". Added new files: ChiralPointGroups.m, THz_current_estimation.m, Theoretical_model.zip, and ChiralPointGroups.pdf. Updated and renamed \"publication_data.zip\" (in V2) to \"data_and_analysis.zip\" ", "Updated the \"License\". Added new files. Updated and renamed \"publication_data.zip\" (in V2) to \"data_and_analysis.zip\" "]}
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2025-07-30T16:21:20Z
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Dataset
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update: {"version_comment"=>["Added new files: ChiralPointGroups.m, THz_current_estimation.m, Theoretical_model.zip, and ChiralPointGroups.pdf. Updated the \"License\"", "Updated the \"License\". Added new files: ChiralPointGroups.m, THz_current_estimation.m, Theoretical_model.zip, and ChiralPointGroups.pdf. Updated and renamed \"publication_data.zip\" (in V2) to \"data_and_analysis.zip\" "]}
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2025-07-30T16:20:41Z
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Dataset
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update: {"description"=>["This repository provides the data and code used to reproduce key plots from the manuscript and to extend discussions that were only briefly covered therein. All MATLAB scripts were developed and tested in MATLAB R2024a. All Python scripts were developed and tested in Python 3.11.2.\r\n\r\n* <b> NOTE:</b> New in this V3: \r\n1. 2 new MATLAB files (ChiralPointGroups.m and THz_current_estimation.m), ChiralPointGroups.pdf (a compiled version of ChiralPointGroups.m) and theoretical model code (theoretical_model.zip) are added. More information can be found in the readme. \r\n2. Change License from CC BY to \"Other license\". Licensing Terms: Data (all .mat files) is under CC BY and Code is released under MIT license. Therefore, V3 is bound to this new license. V2 is still under CC BY. \r\n\r\n<b>→ Data and analysis code (data_and_analysis.zip):</b>\r\nThe dataset is organized into five subfolders. Each subfolder corresponds to a unique combination of experimental conditions, including:\r\n•\tMagnetic field orientation (B ∥ c or B ⟂ c)\r\n•\tScan parameter (magnetic field or temperature)\r\n•\tPump laser polarization (linear s, linear p, or circular)\r\n•\tDetection polarization (linear s)\r\nEach folder contains:\r\n•\tThe raw time-domain data files (.mat)\r\n•\tOscillator parameters extracted via linear prediction algorithm (.mat)\r\n•\tMATLAB scripts (.m) that generate plots of the raw data, processed fits, and amplified modes. Each script should be run within its corresponding folder to ensure proper loading of the associated data files.\r\n\r\nFolder summary:\r\n1.\tB_parallel_c_linear_spump_sprobe_field: B ∥ c, s-polarized pump, s-polarized THz detection, magnetic field dependence\r\n2.\tB_parallel_c_linear_spump_sprobe_temperature: B ∥ c, s-polarized pump, s-polarized THz detection, temperature dependence\r\n3.\tB_perp_c_linear_spump_sprobe_field: B ⟂ c, s-polarized pump, s-polarized THz detection, magnetic field dependence\r\n4.\tB_perp_c_linear_spump_sprobe_temperature: B ⟂ c, s-polarized pump, s-polarized THz detection, temperature dependence\r\n5.\tB_parallel_c_LCPRCP_pump_sprobe_field: B ∥ c, circularly polarized pump (LCP & RCP), s-polarized THz detection, magnetic field dependence\r\n\r\n<b>→Theoretical model code (theoretical_model.zip):</b>\r\nThe Python script depends on packages “numpy” and “matplotlib”. The script generates a plot of the dispersion relations of the theoretical model introduced in the Main Text. More precisely, it plots the real (red) and imaginary (blue) parts of the frequency (ω) as a function of wavenumber (k) as obtained by solving the characteristic equation, equation (6) of the Supplemental Information, with σ_E and σ_Μ given respectively by equations (3) and (2) of the Main Text. All branches of the dispersion relations are plotted simultaneously. All model parameters are adjustable.\r\nThe included Mathematica notebook (printout also provided in .pdf format) was used to obtain symbolic expressions for the coefficients of powers of ω appearing in the characteristic determinant. These coefficients were copied directly into the Python function detCoeffs().\r\n\r\n<b>→ Standalone scripts (not in subfolders):</b>\r\n•\tChiralPointGroups.m\r\nOutputs a table summarizing the 2D matrix representation of σ_Μ in the 11 enantiomorphic point groups. ChiralPointGroups.pdf is a compiled version of chiral point groups table, identical to the output of ChiralPointGroups.m.\r\n\r\n•\tTHz_current_estimation.m\r\nEstimates the photoinduced THz current in tellurium under magnetic field. The script evaluates a phenomenological resonant contribution to the magnetoelectric coupling (with negligible dependence on NIR polarization), leading to excitation of s-polarized, B-antisymmetric mode S_odd at ~0.37 THz.\r\n\r\nThese standalone scripts provide additional physical discussion and calculation detail that are intentionally streamlined or omitted from the published manuscript and its supplementary materials for clarity and space.\r\n\r\n", "This repository provides the data and code used to reproduce key plots from the manuscript and to extend discussions that were only briefly covered therein. All MATLAB scripts were developed and tested in MATLAB R2024a. All Python scripts were developed and tested in Python 3.11.2.\r\n\r\n* <b> NOTE:</b> New in this V3: \r\n1. 2 new MATLAB files (ChiralPointGroups.m and THz_current_estimation.m), ChiralPointGroups.pdf (a compiled version of ChiralPointGroups.m) and theoretical model code (theoretical_model.zip) are added. More information can be found in the readme. \r\n2. Updated and renamed \"publication_data.zip\" (in V2) to \"data_and_analysis.zip\" \r\n3. Change License from CC BY to \"Other license\". Licensing Terms: Data (all .mat files) is under CC BY and Code is released under MIT license. Therefore, V3 is bound to this new license. V2 is still under CC BY. \r\n\r\n<b>→ Data and analysis code (data_and_analysis.zip):</b>\r\nThe dataset is organized into five subfolders. Each subfolder corresponds to a unique combination of experimental conditions, including:\r\n•\tMagnetic field orientation (B ∥ c or B ⟂ c)\r\n•\tScan parameter (magnetic field or temperature)\r\n•\tPump laser polarization (linear s, linear p, or circular)\r\n•\tDetection polarization (linear s)\r\nEach folder contains:\r\n•\tThe raw time-domain data files (.mat)\r\n•\tOscillator parameters extracted via linear prediction algorithm (.mat)\r\n•\tMATLAB scripts (.m) that generate plots of the raw data, processed fits, and amplified modes. Each script should be run within its corresponding folder to ensure proper loading of the associated data files.\r\n\r\nFolder summary:\r\n1.\tB_parallel_c_linear_spump_sprobe_field: B ∥ c, s-polarized pump, s-polarized THz detection, magnetic field dependence\r\n2.\tB_parallel_c_linear_spump_sprobe_temperature: B ∥ c, s-polarized pump, s-polarized THz detection, temperature dependence\r\n3.\tB_perp_c_linear_spump_sprobe_field: B ⟂ c, s-polarized pump, s-polarized THz detection, magnetic field dependence\r\n4.\tB_perp_c_linear_spump_sprobe_temperature: B ⟂ c, s-polarized pump, s-polarized THz detection, temperature dependence\r\n5.\tB_parallel_c_LCPRCP_pump_sprobe_field: B ∥ c, circularly polarized pump (LCP & RCP), s-polarized THz detection, magnetic field dependence\r\n\r\n<b>→Theoretical model code (theoretical_model.zip):</b>\r\nThe Python script depends on packages “numpy” and “matplotlib”. The script generates a plot of the dispersion relations of the theoretical model introduced in the Main Text. More precisely, it plots the real (red) and imaginary (blue) parts of the frequency (ω) as a function of wavenumber (k) as obtained by solving the characteristic equation, equation (6) of the Supplemental Information, with σ_E and σ_Μ given respectively by equations (3) and (2) of the Main Text. All branches of the dispersion relations are plotted simultaneously. All model parameters are adjustable.\r\nThe included Mathematica notebook (printout also provided in .pdf format) was used to obtain symbolic expressions for the coefficients of powers of ω appearing in the characteristic determinant. These coefficients were copied directly into the Python function detCoeffs().\r\n\r\n<b>→ Standalone scripts (not in subfolders):</b>\r\n•\tChiralPointGroups.m\r\nOutputs a table summarizing the 2D matrix representation of σ_Μ in the 11 enantiomorphic point groups. ChiralPointGroups.pdf is a compiled version of chiral point groups table, identical to the output of ChiralPointGroups.m.\r\n\r\n•\tTHz_current_estimation.m\r\nEstimates the photoinduced THz current in tellurium under magnetic field. The script evaluates a phenomenological resonant contribution to the magnetoelectric coupling (with negligible dependence on NIR polarization), leading to excitation of s-polarized, B-antisymmetric mode S_odd at ~0.37 THz.\r\n\r\nThese standalone scripts provide additional physical discussion and calculation detail that are intentionally streamlined or omitted from the published manuscript and its supplementary materials for clarity and space.\r\n\r\n"], "version_comment"=>["Added new files and updated the \"License\"", "Added new files: ChiralPointGroups.m, THz_current_estimation.m, Theoretical_model.zip, and ChiralPointGroups.pdf. Updated the \"License\""]}
|
2025-07-30T16:19:56Z
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Dataset
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update: {"description"=>["This repository provides the data and code used to reproduce key plots from the manuscript and to extend discussions that were only briefly covered therein. All MATLAB scripts were developed and tested in MATLAB R2024a. All Python scripts were developed and tested in Python 3.11.2.\r\n\r\n* <b> NOTE:</b> New in this V3: \r\n1. 2 new MATLAB files (ChiralPointGroups.m and THz_current_estimation.m) and theoretical model code (theoretical_model.zip) are added. More information can be found in the readme. \r\n2. Change License from CC BY to \"Other license\". Licensing Terms: Data (all .mat files) is under CC BY and Code is released under MIT license. Therefore, V3 is bound to this new license. V2 is still under CC BY. \r\n\r\n<b>→ Data and analysis code (data_and_analysis.zip):</b>\r\nThe dataset is organized into five subfolders. Each subfolder corresponds to a unique combination of experimental conditions, including:\r\n•\tMagnetic field orientation (B ∥ c or B ⟂ c)\r\n•\tScan parameter (magnetic field or temperature)\r\n•\tPump laser polarization (linear s, linear p, or circular)\r\n•\tDetection polarization (linear s)\r\nEach folder contains:\r\n•\tThe raw time-domain data files (.mat)\r\n•\tOscillator parameters extracted via linear prediction algorithm (.mat)\r\n•\tMATLAB scripts (.m) that generate plots of the raw data, processed fits, and amplified modes. Each script should be run within its corresponding folder to ensure proper loading of the associated data files.\r\n\r\nFolder summary:\r\n1.\tB_parallel_c_linear_spump_sprobe_field: B ∥ c, s-polarized pump, s-polarized THz detection, magnetic field dependence\r\n2.\tB_parallel_c_linear_spump_sprobe_temperature: B ∥ c, s-polarized pump, s-polarized THz detection, temperature dependence\r\n3.\tB_perp_c_linear_spump_sprobe_field: B ⟂ c, s-polarized pump, s-polarized THz detection, magnetic field dependence\r\n4.\tB_perp_c_linear_spump_sprobe_temperature: B ⟂ c, s-polarized pump, s-polarized THz detection, temperature dependence\r\n5.\tB_parallel_c_LCPRCP_pump_sprobe_field: B ∥ c, circularly polarized pump (LCP & RCP), s-polarized THz detection, magnetic field dependence\r\n\r\n<b>→Theoretical model code (theoretical_model.zip):</b>\r\nThe Python script depends on packages “numpy” and “matplotlib”. The script generates a plot of the dispersion relations of the theoretical model introduced in the Main Text. More precisely, it plots the real (red) and imaginary (blue) parts of the frequency (ω) as a function of wavenumber (k) as obtained by solving the characteristic equation, equation (6) of the Supplemental Information, with σ_E and σ_Μ given respectively by equations (3) and (2) of the Main Text. All branches of the dispersion relations are plotted simultaneously. All model parameters are adjustable.\r\nThe included Mathematica notebook (printout also provided in .pdf format) was used to obtain symbolic expressions for the coefficients of powers of ω appearing in the characteristic determinant. These coefficients were copied directly into the Python function detCoeffs().\r\n\r\n<b>→ Standalone scripts (not in subfolders):</b>\r\n•\tChiralPointGroups.m\r\nOutputs a table summarizing the 2D matrix representation of σ_Μ in the 11 enantiomorphic point groups. ChiralPointGroups.pdf is a compiled version of chiral point groups table, identical to the output of ChiralPointGroups.m.\r\n\r\n•\tTHz_current_estimation.m\r\nEstimates the photoinduced THz current in tellurium under magnetic field. The script evaluates a phenomenological resonant contribution to the magnetoelectric coupling (with negligible dependence on NIR polarization), leading to excitation of s-polarized, B-antisymmetric mode S_odd at ~0.37 THz.\r\n\r\nThese standalone scripts provide additional physical discussion and calculation detail that are intentionally streamlined or omitted from the published manuscript and its supplementary materials for clarity and space.\r\n\r\n", "This repository provides the data and code used to reproduce key plots from the manuscript and to extend discussions that were only briefly covered therein. All MATLAB scripts were developed and tested in MATLAB R2024a. All Python scripts were developed and tested in Python 3.11.2.\r\n\r\n* <b> NOTE:</b> New in this V3: \r\n1. 2 new MATLAB files (ChiralPointGroups.m and THz_current_estimation.m), ChiralPointGroups.pdf (a compiled version of ChiralPointGroups.m) and theoretical model code (theoretical_model.zip) are added. More information can be found in the readme. \r\n2. Change License from CC BY to \"Other license\". Licensing Terms: Data (all .mat files) is under CC BY and Code is released under MIT license. Therefore, V3 is bound to this new license. V2 is still under CC BY. \r\n\r\n<b>→ Data and analysis code (data_and_analysis.zip):</b>\r\nThe dataset is organized into five subfolders. Each subfolder corresponds to a unique combination of experimental conditions, including:\r\n•\tMagnetic field orientation (B ∥ c or B ⟂ c)\r\n•\tScan parameter (magnetic field or temperature)\r\n•\tPump laser polarization (linear s, linear p, or circular)\r\n•\tDetection polarization (linear s)\r\nEach folder contains:\r\n•\tThe raw time-domain data files (.mat)\r\n•\tOscillator parameters extracted via linear prediction algorithm (.mat)\r\n•\tMATLAB scripts (.m) that generate plots of the raw data, processed fits, and amplified modes. Each script should be run within its corresponding folder to ensure proper loading of the associated data files.\r\n\r\nFolder summary:\r\n1.\tB_parallel_c_linear_spump_sprobe_field: B ∥ c, s-polarized pump, s-polarized THz detection, magnetic field dependence\r\n2.\tB_parallel_c_linear_spump_sprobe_temperature: B ∥ c, s-polarized pump, s-polarized THz detection, temperature dependence\r\n3.\tB_perp_c_linear_spump_sprobe_field: B ⟂ c, s-polarized pump, s-polarized THz detection, magnetic field dependence\r\n4.\tB_perp_c_linear_spump_sprobe_temperature: B ⟂ c, s-polarized pump, s-polarized THz detection, temperature dependence\r\n5.\tB_parallel_c_LCPRCP_pump_sprobe_field: B ∥ c, circularly polarized pump (LCP & RCP), s-polarized THz detection, magnetic field dependence\r\n\r\n<b>→Theoretical model code (theoretical_model.zip):</b>\r\nThe Python script depends on packages “numpy” and “matplotlib”. The script generates a plot of the dispersion relations of the theoretical model introduced in the Main Text. More precisely, it plots the real (red) and imaginary (blue) parts of the frequency (ω) as a function of wavenumber (k) as obtained by solving the characteristic equation, equation (6) of the Supplemental Information, with σ_E and σ_Μ given respectively by equations (3) and (2) of the Main Text. All branches of the dispersion relations are plotted simultaneously. All model parameters are adjustable.\r\nThe included Mathematica notebook (printout also provided in .pdf format) was used to obtain symbolic expressions for the coefficients of powers of ω appearing in the characteristic determinant. These coefficients were copied directly into the Python function detCoeffs().\r\n\r\n<b>→ Standalone scripts (not in subfolders):</b>\r\n•\tChiralPointGroups.m\r\nOutputs a table summarizing the 2D matrix representation of σ_Μ in the 11 enantiomorphic point groups. ChiralPointGroups.pdf is a compiled version of chiral point groups table, identical to the output of ChiralPointGroups.m.\r\n\r\n•\tTHz_current_estimation.m\r\nEstimates the photoinduced THz current in tellurium under magnetic field. The script evaluates a phenomenological resonant contribution to the magnetoelectric coupling (with negligible dependence on NIR polarization), leading to excitation of s-polarized, B-antisymmetric mode S_odd at ~0.37 THz.\r\n\r\nThese standalone scripts provide additional physical discussion and calculation detail that are intentionally streamlined or omitted from the published manuscript and its supplementary materials for clarity and space.\r\n\r\n"]}
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2025-07-30T16:16:00Z
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Dataset
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update: {"description"=>["This repository provides the data and code used to reproduce key plots from the manuscript and to extend discussions that were only briefly covered therein. All MATLAB scripts were developed and tested in MATLAB R2024a. All Python scripts were developed and tested in Python 3.11.2.\r\n\r\n* <b> NOTE:</b> New in this V3: \r\n1. 2 new MATLAB files (ChiralPointGroups.m and THz_current_estimation.m) and theoretical model code (theoretical_model.zip) are added. More information can be found in the readme. \r\n2. Change License from CC BY to \"Other license\". Licensing Terms: Data is under CC BY and Code is released under MIT license. Therefore, V3 is bound to this new license. V2 is still under CC BY. \r\n\r\n<b>→ Data and analysis code (publication_data.zip ):</b>\r\nThe dataset is organized into five subfolders. Each subfolder corresponds to a unique combination of experimental conditions, including:\r\n•\tMagnetic field orientation (B ∥ c or B ⟂ c)\r\n•\tScan parameter (magnetic field or temperature)\r\n•\tPump laser polarization (linear s, linear p, or circular)\r\n•\tDetection polarization (linear s)\r\nEach folder contains:\r\n•\tThe raw time-domain data files (.mat)\r\n•\tOscillator parameters extracted via linear prediction algorithm (.mat)\r\n•\tMATLAB scripts (.m) that generate plots of the raw data, processed fits, and amplified modes. Each script should be run within its corresponding folder to ensure proper loading of the associated data files.\r\n\r\nFolder summary:\r\n1.\tB_parallel_c_linear_spump_sprobe_field: B ∥ c, s-polarized pump, s-polarized THz detection, magnetic field dependence\r\n2.\tB_parallel_c_linear_spump_sprobe_temperature: B ∥ c, s-polarized pump, s-polarized THz detection, temperature dependence\r\n3.\tB_perp_c_linear_spump_sprobe_field: B ⟂ c, s-polarized pump, s-polarized THz detection, magnetic field dependence\r\n4.\tB_perp_c_linear_spump_sprobe_temperature: B ⟂ c, s-polarized pump, s-polarized THz detection, temperature dependence\r\n5.\tB_parallel_c_LCPRCP_pump_sprobe_field: B ∥ c, circularly polarized pump (LCP & RCP), s-polarized THz detection, magnetic field dependence\r\n\r\n<b>→Theoretical model code (theoretical_model.zip):</b>\r\nThe Python script depends on packages “numpy” and “matplotlib”. The script generates a plot of the dispersion relations of the theoretical model introduced in the Main Text. More precisely, it plots the real (red) and imaginary (blue) parts of the frequency (ω) as a function of wavenumber (k) as obtained by solving the characteristic equation, equation (6) of the Supplemental Information, with σE and σΜ given respectively by equations (3) and (2) of the Main Text. All branches of the dispersion relations are plotted simultaneously. All model parameters are adjustable.\r\nThe included Mathematica notebook (printout also provided in .pdf format) was used to obtain symbolic expressions for the coefficients of powers of ω appearing in the characteristic determinant. These coefficients were copied directly into the Python function detCoeffs().\r\n\r\n<b>→ Standalone scripts (not in subfolders):</b>\r\n•\tChiralPointGroups.m\r\nOutputs a table summarizing the 2D matrix representation of σΜ in the 11 enantiomorphic point groups.\r\n•\tTHz_current_estimation.m\r\nEstimates the photoinduced THz current in tellurium under magnetic field. The script evaluates a phenomenological resonant contribution to the magnetoelectric coupling (with negligible dependence on NIR polarization), leading to excitation of s-polarized, B-antisymmetric mode Sodd at ~0.37 THz.\r\n\r\n", "This repository provides the data and code used to reproduce key plots from the manuscript and to extend discussions that were only briefly covered therein. All MATLAB scripts were developed and tested in MATLAB R2024a. All Python scripts were developed and tested in Python 3.11.2.\r\n\r\n* <b> NOTE:</b> New in this V3: \r\n1. 2 new MATLAB files (ChiralPointGroups.m and THz_current_estimation.m) and theoretical model code (theoretical_model.zip) are added. More information can be found in the readme. \r\n2. Change License from CC BY to \"Other license\". Licensing Terms: Data (all .mat files) is under CC BY and Code is released under MIT license. Therefore, V3 is bound to this new license. V2 is still under CC BY. \r\n\r\n<b>→ Data and analysis code (data_and_analysis.zip):</b>\r\nThe dataset is organized into five subfolders. Each subfolder corresponds to a unique combination of experimental conditions, including:\r\n•\tMagnetic field orientation (B ∥ c or B ⟂ c)\r\n•\tScan parameter (magnetic field or temperature)\r\n•\tPump laser polarization (linear s, linear p, or circular)\r\n•\tDetection polarization (linear s)\r\nEach folder contains:\r\n•\tThe raw time-domain data files (.mat)\r\n•\tOscillator parameters extracted via linear prediction algorithm (.mat)\r\n•\tMATLAB scripts (.m) that generate plots of the raw data, processed fits, and amplified modes. Each script should be run within its corresponding folder to ensure proper loading of the associated data files.\r\n\r\nFolder summary:\r\n1.\tB_parallel_c_linear_spump_sprobe_field: B ∥ c, s-polarized pump, s-polarized THz detection, magnetic field dependence\r\n2.\tB_parallel_c_linear_spump_sprobe_temperature: B ∥ c, s-polarized pump, s-polarized THz detection, temperature dependence\r\n3.\tB_perp_c_linear_spump_sprobe_field: B ⟂ c, s-polarized pump, s-polarized THz detection, magnetic field dependence\r\n4.\tB_perp_c_linear_spump_sprobe_temperature: B ⟂ c, s-polarized pump, s-polarized THz detection, temperature dependence\r\n5.\tB_parallel_c_LCPRCP_pump_sprobe_field: B ∥ c, circularly polarized pump (LCP & RCP), s-polarized THz detection, magnetic field dependence\r\n\r\n<b>→Theoretical model code (theoretical_model.zip):</b>\r\nThe Python script depends on packages “numpy” and “matplotlib”. The script generates a plot of the dispersion relations of the theoretical model introduced in the Main Text. More precisely, it plots the real (red) and imaginary (blue) parts of the frequency (ω) as a function of wavenumber (k) as obtained by solving the characteristic equation, equation (6) of the Supplemental Information, with σ_E and σ_Μ given respectively by equations (3) and (2) of the Main Text. All branches of the dispersion relations are plotted simultaneously. All model parameters are adjustable.\r\nThe included Mathematica notebook (printout also provided in .pdf format) was used to obtain symbolic expressions for the coefficients of powers of ω appearing in the characteristic determinant. These coefficients were copied directly into the Python function detCoeffs().\r\n\r\n<b>→ Standalone scripts (not in subfolders):</b>\r\n•\tChiralPointGroups.m\r\nOutputs a table summarizing the 2D matrix representation of σ_Μ in the 11 enantiomorphic point groups. ChiralPointGroups.pdf is a compiled version of chiral point groups table, identical to the output of ChiralPointGroups.m.\r\n\r\n•\tTHz_current_estimation.m\r\nEstimates the photoinduced THz current in tellurium under magnetic field. The script evaluates a phenomenological resonant contribution to the magnetoelectric coupling (with negligible dependence on NIR polarization), leading to excitation of s-polarized, B-antisymmetric mode S_odd at ~0.37 THz.\r\n\r\nThese standalone scripts provide additional physical discussion and calculation detail that are intentionally streamlined or omitted from the published manuscript and its supplementary materials for clarity and space.\r\n\r\n"]}
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2025-07-30T15:50:51Z
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Dataset
|
update: {"description"=>["This repository provides the data and code used to reproduce key plots from the manuscript and to extend discussions that were only briefly covered therein. All MATLAB scripts were developed and tested in MATLAB R2024a. All Python scripts were developed and tested in Python 3.11.2.\r\n\r\n* <b> NOTE:</b> New in this V3: \r\n1. 2 new MATLAB files (ChiralPointGroups.m and THz_current_estimation.m) and theoretical model code (theoretical_model.zip) are added. More information can be found in the readme. \r\n2. Change License from CC BY to \"Other license\". Licensing Terms: Data is under CC BY and Code is released under MIT license. Therefore, V3 is bound to this new license. V2 is still under CC BY. \r\n\r\n<b>→ Data and analysis code (publication_data.zip ):</b>\r\nThe dataset is organized into five subfolders. Each subfolder corresponds to a unique combination of experimental conditions, including:\r\n•\tMagnetic field orientation (B ∥ c or B ⟂ c)\r\n•\tScan parameter (magnetic field or temperature)\r\n•\tPump laser polarization (linear s, linear p, or circular)\r\n•\tDetection polarization (linear s)\r\nEach folder contains:\r\n•\tThe raw time-domain data files (.mat)\r\n•\tOscillator parameters extracted via linear prediction algorithm (.mat)\r\n•\tMATLAB scripts (.m) that generate plots of the raw data, processed fits, and amplified modes. Each script should be run within its corresponding folder to ensure proper loading of the associated data files.\r\n\r\nFolder summary:\r\n1.\tB_parallel_c_linear_spump_sprobe_field: B ∥ c, s-polarized pump, s-polarized THz detection, magnetic field dependence\r\n2.\tB_parallel_c_linear_spump_sprobe_temperature: B ∥ c, s-polarized pump, s-polarized THz detection, temperature dependence\r\n3.\tB_perp_c_linear_spump_sprobe_field: B ⟂ c, s-polarized pump, s-polarized THz detection, magnetic field dependence\r\n4.\tB_perp_c_linear_spump_sprobe_temperature: B ⟂ c, s-polarized pump, s-polarized THz detection, temperature dependence\r\n5.\tB_parallel_c_LCPRCP_pump_sprobe_field: B ∥ c, circularly polarized pump (LCP & RCP), s-polarized THz detection, magnetic field dependence\r\n\r\n<b>→Theoretical model code (theoretical_model.zip):</b>\r\nThe Python script depends on packages “numpy” and “matplotlib”. The script generates a plot of the dispersion relations of the theoretical model introduced in the Main Text. More precisely, it plots the real (red) and imaginary (blue) parts of the frequency (omega) as a function of wavenumber (k) as obtained by solving the characteristic equation, equation (6) of the Supplemental Information, with sigma_E and sigma_M given respectively by equations (3) and (2) of the Main Text. All branches of the dispersion relations are plotted simultaneously. All model parameters are adjustable.\r\nThe included Mathematica notebook was used to obtain symbolic expressions for the coefficients of powers of omega appearing in the characteristic determinant. These coefficients were copied directly into the Python function detCoeffs().\r\n\r\n<b>→ Standalone scripts (not in subfolders):</b>\r\n•\tChiralPointGroups.m\r\nOutputs a table summarizing the 2D matrix representation of σΜ in the 11 enantiomorphic point groups.\r\n•\tTHz_current_estimation.m\r\nEstimates the photoinduced THz current in tellurium under magnetic field. The script evaluates a phenomenological resonant contribution to the magnetoelectric coupling (with negligible dependence on NIR polarization), leading to excitation of s-polarized, B-antisymmetric mode Sodd at ~0.37 THz.\r\n\r\n", "This repository provides the data and code used to reproduce key plots from the manuscript and to extend discussions that were only briefly covered therein. All MATLAB scripts were developed and tested in MATLAB R2024a. All Python scripts were developed and tested in Python 3.11.2.\r\n\r\n* <b> NOTE:</b> New in this V3: \r\n1. 2 new MATLAB files (ChiralPointGroups.m and THz_current_estimation.m) and theoretical model code (theoretical_model.zip) are added. More information can be found in the readme. \r\n2. Change License from CC BY to \"Other license\". Licensing Terms: Data is under CC BY and Code is released under MIT license. Therefore, V3 is bound to this new license. V2 is still under CC BY. \r\n\r\n<b>→ Data and analysis code (publication_data.zip ):</b>\r\nThe dataset is organized into five subfolders. Each subfolder corresponds to a unique combination of experimental conditions, including:\r\n•\tMagnetic field orientation (B ∥ c or B ⟂ c)\r\n•\tScan parameter (magnetic field or temperature)\r\n•\tPump laser polarization (linear s, linear p, or circular)\r\n•\tDetection polarization (linear s)\r\nEach folder contains:\r\n•\tThe raw time-domain data files (.mat)\r\n•\tOscillator parameters extracted via linear prediction algorithm (.mat)\r\n•\tMATLAB scripts (.m) that generate plots of the raw data, processed fits, and amplified modes. Each script should be run within its corresponding folder to ensure proper loading of the associated data files.\r\n\r\nFolder summary:\r\n1.\tB_parallel_c_linear_spump_sprobe_field: B ∥ c, s-polarized pump, s-polarized THz detection, magnetic field dependence\r\n2.\tB_parallel_c_linear_spump_sprobe_temperature: B ∥ c, s-polarized pump, s-polarized THz detection, temperature dependence\r\n3.\tB_perp_c_linear_spump_sprobe_field: B ⟂ c, s-polarized pump, s-polarized THz detection, magnetic field dependence\r\n4.\tB_perp_c_linear_spump_sprobe_temperature: B ⟂ c, s-polarized pump, s-polarized THz detection, temperature dependence\r\n5.\tB_parallel_c_LCPRCP_pump_sprobe_field: B ∥ c, circularly polarized pump (LCP & RCP), s-polarized THz detection, magnetic field dependence\r\n\r\n<b>→Theoretical model code (theoretical_model.zip):</b>\r\nThe Python script depends on packages “numpy” and “matplotlib”. The script generates a plot of the dispersion relations of the theoretical model introduced in the Main Text. More precisely, it plots the real (red) and imaginary (blue) parts of the frequency (ω) as a function of wavenumber (k) as obtained by solving the characteristic equation, equation (6) of the Supplemental Information, with σE and σΜ given respectively by equations (3) and (2) of the Main Text. All branches of the dispersion relations are plotted simultaneously. All model parameters are adjustable.\r\nThe included Mathematica notebook (printout also provided in .pdf format) was used to obtain symbolic expressions for the coefficients of powers of ω appearing in the characteristic determinant. These coefficients were copied directly into the Python function detCoeffs().\r\n\r\n<b>→ Standalone scripts (not in subfolders):</b>\r\n•\tChiralPointGroups.m\r\nOutputs a table summarizing the 2D matrix representation of σΜ in the 11 enantiomorphic point groups.\r\n•\tTHz_current_estimation.m\r\nEstimates the photoinduced THz current in tellurium under magnetic field. The script evaluates a phenomenological resonant contribution to the magnetoelectric coupling (with negligible dependence on NIR polarization), leading to excitation of s-polarized, B-antisymmetric mode Sodd at ~0.37 THz.\r\n\r\n"]}
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2025-07-29T20:32:39Z
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|
Dataset
|
update: {"description"=>["This repository provides the data and code used to reproduce key plots from the manuscript and to extend discussions that were only briefly covered therein. All MATLAB scripts were developed and tested in MATLAB R2024a. All Python scripts were developed and tested in Python 3.11.2.\r\n\r\n* <b> NOTE:</b> New in this V3: \r\n1. 2 new MATLAB files (ChiralPointGroups.m and THz_current_estimation.m) and theoretical model code (theoretical_model.zip) are added. More information can be found in the readme. \r\n2. Change \"license\" from CC BY to \"Other license\". Licensing Terms: Data is under CC BY and Code is released under MIT license.\r\n\r\n<b>→ Data and analysis code (publication_data.zip ):</b>\r\nThe dataset is organized into five subfolders. Each subfolder corresponds to a unique combination of experimental conditions, including:\r\n•\tMagnetic field orientation (B ∥ c or B ⟂ c)\r\n•\tScan parameter (magnetic field or temperature)\r\n•\tPump laser polarization (linear s, linear p, or circular)\r\n•\tDetection polarization (linear s)\r\nEach folder contains:\r\n•\tThe raw time-domain data files (.mat)\r\n•\tOscillator parameters extracted via linear prediction algorithm (.mat)\r\n•\tMATLAB scripts (.m) that generate plots of the raw data, processed fits, and amplified modes. Each script should be run within its corresponding folder to ensure proper loading of the associated data files.\r\n\r\nFolder summary:\r\n1.\tB_parallel_c_linear_spump_sprobe_field: B ∥ c, s-polarized pump, s-polarized THz detection, magnetic field dependence\r\n2.\tB_parallel_c_linear_spump_sprobe_temperature: B ∥ c, s-polarized pump, s-polarized THz detection, temperature dependence\r\n3.\tB_perp_c_linear_spump_sprobe_field: B ⟂ c, s-polarized pump, s-polarized THz detection, magnetic field dependence\r\n4.\tB_perp_c_linear_spump_sprobe_temperature: B ⟂ c, s-polarized pump, s-polarized THz detection, temperature dependence\r\n5.\tB_parallel_c_LCPRCP_pump_sprobe_field: B ∥ c, circularly polarized pump (LCP & RCP), s-polarized THz detection, magnetic field dependence\r\n\r\n<b>→Theoretical model code (theoretical_model.zip):</b>\r\nThe Python script depends on packages “numpy” and “matplotlib”. The script generates a plot of the dispersion relations of the theoretical model introduced in the Main Text. More precisely, it plots the real (red) and imaginary (blue) parts of the frequency (omega) as a function of wavenumber (k) as obtained by solving the characteristic equation, equation (6) of the Supplemental Information, with sigma_E and sigma_M given respectively by equations (3) and (2) of the Main Text. All branches of the dispersion relations are plotted simultaneously. All model parameters are adjustable.\r\nThe included Mathematica notebook was used to obtain symbolic expressions for the coefficients of powers of omega appearing in the characteristic determinant. These coefficients were copied directly into the Python function detCoeffs().\r\n\r\n<b>→ Standalone scripts (not in subfolders):</b>\r\n•\tChiralPointGroups.m\r\nOutputs a table summarizing the 2D matrix representation of σΜ in the 11 enantiomorphic point groups.\r\n•\tTHz_current_estimation.m\r\nEstimates the photoinduced THz current in tellurium under magnetic field. The script evaluates a phenomenological resonant contribution to the magnetoelectric coupling (with negligible dependence on NIR polarization), leading to excitation of s-polarized, B-antisymmetric mode Sodd at ~0.37 THz.\r\n\r\n", "This repository provides the data and code used to reproduce key plots from the manuscript and to extend discussions that were only briefly covered therein. All MATLAB scripts were developed and tested in MATLAB R2024a. All Python scripts were developed and tested in Python 3.11.2.\r\n\r\n* <b> NOTE:</b> New in this V3: \r\n1. 2 new MATLAB files (ChiralPointGroups.m and THz_current_estimation.m) and theoretical model code (theoretical_model.zip) are added. More information can be found in the readme. \r\n2. Change License from CC BY to \"Other license\". Licensing Terms: Data is under CC BY and Code is released under MIT license. Therefore, V3 is bound to this new license. V2 is still under CC BY. \r\n\r\n<b>→ Data and analysis code (publication_data.zip ):</b>\r\nThe dataset is organized into five subfolders. Each subfolder corresponds to a unique combination of experimental conditions, including:\r\n•\tMagnetic field orientation (B ∥ c or B ⟂ c)\r\n•\tScan parameter (magnetic field or temperature)\r\n•\tPump laser polarization (linear s, linear p, or circular)\r\n•\tDetection polarization (linear s)\r\nEach folder contains:\r\n•\tThe raw time-domain data files (.mat)\r\n•\tOscillator parameters extracted via linear prediction algorithm (.mat)\r\n•\tMATLAB scripts (.m) that generate plots of the raw data, processed fits, and amplified modes. Each script should be run within its corresponding folder to ensure proper loading of the associated data files.\r\n\r\nFolder summary:\r\n1.\tB_parallel_c_linear_spump_sprobe_field: B ∥ c, s-polarized pump, s-polarized THz detection, magnetic field dependence\r\n2.\tB_parallel_c_linear_spump_sprobe_temperature: B ∥ c, s-polarized pump, s-polarized THz detection, temperature dependence\r\n3.\tB_perp_c_linear_spump_sprobe_field: B ⟂ c, s-polarized pump, s-polarized THz detection, magnetic field dependence\r\n4.\tB_perp_c_linear_spump_sprobe_temperature: B ⟂ c, s-polarized pump, s-polarized THz detection, temperature dependence\r\n5.\tB_parallel_c_LCPRCP_pump_sprobe_field: B ∥ c, circularly polarized pump (LCP & RCP), s-polarized THz detection, magnetic field dependence\r\n\r\n<b>→Theoretical model code (theoretical_model.zip):</b>\r\nThe Python script depends on packages “numpy” and “matplotlib”. The script generates a plot of the dispersion relations of the theoretical model introduced in the Main Text. More precisely, it plots the real (red) and imaginary (blue) parts of the frequency (omega) as a function of wavenumber (k) as obtained by solving the characteristic equation, equation (6) of the Supplemental Information, with sigma_E and sigma_M given respectively by equations (3) and (2) of the Main Text. All branches of the dispersion relations are plotted simultaneously. All model parameters are adjustable.\r\nThe included Mathematica notebook was used to obtain symbolic expressions for the coefficients of powers of omega appearing in the characteristic determinant. These coefficients were copied directly into the Python function detCoeffs().\r\n\r\n<b>→ Standalone scripts (not in subfolders):</b>\r\n•\tChiralPointGroups.m\r\nOutputs a table summarizing the 2D matrix representation of σΜ in the 11 enantiomorphic point groups.\r\n•\tTHz_current_estimation.m\r\nEstimates the photoinduced THz current in tellurium under magnetic field. The script evaluates a phenomenological resonant contribution to the magnetoelectric coupling (with negligible dependence on NIR polarization), leading to excitation of s-polarized, B-antisymmetric mode Sodd at ~0.37 THz.\r\n\r\n"]}
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2025-07-29T19:46:09Z
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Dataset
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update: {"version_comment"=>["Added new files ... [ask Yijing later ..]", "Added new files and updated the \"License\""]}
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2025-07-29T19:38:54Z
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Dataset
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update: {"description"=>["This repository provides the data and code used to reproduce key plots from the manuscript and to extend discussions that were only briefly covered therein. All MATLAB scripts were developed and tested in MATLAB R2024a. All Python scripts were developed and tested in Python 3.11.2.\r\n<b>→ Data and analysis code (publication_data.zip ):</b>\r\nThe dataset is organized into five subfolders. Each subfolder corresponds to a unique combination of experimental conditions, including:\r\n•\tMagnetic field orientation (B ∥ c or B ⟂ c)\r\n•\tScan parameter (magnetic field or temperature)\r\n•\tPump laser polarization (linear s, linear p, or circular)\r\n•\tDetection polarization (linear s)\r\nEach folder contains:\r\n•\tThe raw time-domain data files (.mat)\r\n•\tOscillator parameters extracted via linear prediction algorithm (.mat)\r\n•\tMATLAB scripts (.m) that generate plots of the raw data, processed fits, and amplified modes. Each script should be run within its corresponding folder to ensure proper loading of the associated data files.\r\n\r\nFolder summary:\r\n1.\tB_parallel_c_linear_spump_sprobe_field: B ∥ c, s-polarized pump, s-polarized THz detection, magnetic field dependence\r\n2.\tB_parallel_c_linear_spump_sprobe_temperature: B ∥ c, s-polarized pump, s-polarized THz detection, temperature dependence\r\n3.\tB_perp_c_linear_spump_sprobe_field: B ⟂ c, s-polarized pump, s-polarized THz detection, magnetic field dependence\r\n4.\tB_perp_c_linear_spump_sprobe_temperature: B ⟂ c, s-polarized pump, s-polarized THz detection, temperature dependence\r\n5.\tB_parallel_c_LCPRCP_pump_sprobe_field: B ∥ c, circularly polarized pump (LCP & RCP), s-polarized THz detection, magnetic field dependence\r\n\r\n<b>→Theoretical model code (theoretical_model.zip):</b>\r\nThe Python script depends on packages “numpy” and “matplotlib”. The script generates a plot of the dispersion relations of the theoretical model introduced in the Main Text. More precisely, it plots the real (red) and imaginary (blue) parts of the frequency (omega) as a function of wavenumber (k) as obtained by solving the characteristic equation, equation (6) of the Supplemental Information, with sigma_E and sigma_M given respectively by equations (3) and (2) of the Main Text. All branches of the dispersion relations are plotted simultaneously. All model parameters are adjustable.\r\nThe included Mathematica notebook was used to obtain symbolic expressions for the coefficients of powers of omega appearing in the characteristic determinant. These coefficients were copied directly into the Python function detCoeffs().\r\n\r\n<b>→ Standalone scripts (not in subfolders):</b>\r\n•\tChiralPointGroups.m\r\nOutputs a table summarizing the 2D matrix representation of σΜ in the 11 enantiomorphic point groups.\r\n•\tTHz_current_estimation.m\r\nEstimates the photoinduced THz current in tellurium under magnetic field. The script evaluates a phenomenological resonant contribution to the magnetoelectric coupling (with negligible dependence on NIR polarization), leading to excitation of s-polarized, B-antisymmetric mode Sodd at ~0.37 THz.\r\n\r\n* <b> NOTE:</b> New in this V3: \r\n1. 2 new MATLAB files (ChiralPointGroups.m and THz_current_estimation.m) and theoretical model code (theoretical_model.zip) are added. More information can be found in the readme. \r\n2. Change \"license\" from CC BY to \"Other license\". Licensing Terms: Data is under CC BY and Code is released under MIT license.\r\n", "This repository provides the data and code used to reproduce key plots from the manuscript and to extend discussions that were only briefly covered therein. All MATLAB scripts were developed and tested in MATLAB R2024a. All Python scripts were developed and tested in Python 3.11.2.\r\n\r\n* <b> NOTE:</b> New in this V3: \r\n1. 2 new MATLAB files (ChiralPointGroups.m and THz_current_estimation.m) and theoretical model code (theoretical_model.zip) are added. More information can be found in the readme. \r\n2. Change \"license\" from CC BY to \"Other license\". Licensing Terms: Data is under CC BY and Code is released under MIT license.\r\n\r\n<b>→ Data and analysis code (publication_data.zip ):</b>\r\nThe dataset is organized into five subfolders. Each subfolder corresponds to a unique combination of experimental conditions, including:\r\n•\tMagnetic field orientation (B ∥ c or B ⟂ c)\r\n•\tScan parameter (magnetic field or temperature)\r\n•\tPump laser polarization (linear s, linear p, or circular)\r\n•\tDetection polarization (linear s)\r\nEach folder contains:\r\n•\tThe raw time-domain data files (.mat)\r\n•\tOscillator parameters extracted via linear prediction algorithm (.mat)\r\n•\tMATLAB scripts (.m) that generate plots of the raw data, processed fits, and amplified modes. Each script should be run within its corresponding folder to ensure proper loading of the associated data files.\r\n\r\nFolder summary:\r\n1.\tB_parallel_c_linear_spump_sprobe_field: B ∥ c, s-polarized pump, s-polarized THz detection, magnetic field dependence\r\n2.\tB_parallel_c_linear_spump_sprobe_temperature: B ∥ c, s-polarized pump, s-polarized THz detection, temperature dependence\r\n3.\tB_perp_c_linear_spump_sprobe_field: B ⟂ c, s-polarized pump, s-polarized THz detection, magnetic field dependence\r\n4.\tB_perp_c_linear_spump_sprobe_temperature: B ⟂ c, s-polarized pump, s-polarized THz detection, temperature dependence\r\n5.\tB_parallel_c_LCPRCP_pump_sprobe_field: B ∥ c, circularly polarized pump (LCP & RCP), s-polarized THz detection, magnetic field dependence\r\n\r\n<b>→Theoretical model code (theoretical_model.zip):</b>\r\nThe Python script depends on packages “numpy” and “matplotlib”. The script generates a plot of the dispersion relations of the theoretical model introduced in the Main Text. More precisely, it plots the real (red) and imaginary (blue) parts of the frequency (omega) as a function of wavenumber (k) as obtained by solving the characteristic equation, equation (6) of the Supplemental Information, with sigma_E and sigma_M given respectively by equations (3) and (2) of the Main Text. All branches of the dispersion relations are plotted simultaneously. All model parameters are adjustable.\r\nThe included Mathematica notebook was used to obtain symbolic expressions for the coefficients of powers of omega appearing in the characteristic determinant. These coefficients were copied directly into the Python function detCoeffs().\r\n\r\n<b>→ Standalone scripts (not in subfolders):</b>\r\n•\tChiralPointGroups.m\r\nOutputs a table summarizing the 2D matrix representation of σΜ in the 11 enantiomorphic point groups.\r\n•\tTHz_current_estimation.m\r\nEstimates the photoinduced THz current in tellurium under magnetic field. The script evaluates a phenomenological resonant contribution to the magnetoelectric coupling (with negligible dependence on NIR polarization), leading to excitation of s-polarized, B-antisymmetric mode Sodd at ~0.37 THz.\r\n\r\n"]}
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2025-07-29T19:33:55Z
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Dataset
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update: {"description"=>["This repository provides the data and code used to reproduce key plots from the manuscript and to extend discussions that were only briefly covered therein. All MATLAB scripts were developed and tested in MATLAB R2024a. All Python scripts were developed and tested in Python 3.11.2. \r\n\r\n* <b> NOTE:</b> New in this V3: \r\n1. 2 new MATLAB files (ChiralPointGroups.m and THz_current_estimation.m) and theoretical model code (theoretical_model.zip) are added. More information can be found in the readme. \r\n2. Change \"license\" from CC BY to \"Other license\". Licensing Terms: Data is under CC BY and Code is released under MIT license.\r\n", "This repository provides the data and code used to reproduce key plots from the manuscript and to extend discussions that were only briefly covered therein. All MATLAB scripts were developed and tested in MATLAB R2024a. All Python scripts were developed and tested in Python 3.11.2.\r\n<b>→ Data and analysis code (publication_data.zip ):</b>\r\nThe dataset is organized into five subfolders. Each subfolder corresponds to a unique combination of experimental conditions, including:\r\n•\tMagnetic field orientation (B ∥ c or B ⟂ c)\r\n•\tScan parameter (magnetic field or temperature)\r\n•\tPump laser polarization (linear s, linear p, or circular)\r\n•\tDetection polarization (linear s)\r\nEach folder contains:\r\n•\tThe raw time-domain data files (.mat)\r\n•\tOscillator parameters extracted via linear prediction algorithm (.mat)\r\n•\tMATLAB scripts (.m) that generate plots of the raw data, processed fits, and amplified modes. Each script should be run within its corresponding folder to ensure proper loading of the associated data files.\r\n\r\nFolder summary:\r\n1.\tB_parallel_c_linear_spump_sprobe_field: B ∥ c, s-polarized pump, s-polarized THz detection, magnetic field dependence\r\n2.\tB_parallel_c_linear_spump_sprobe_temperature: B ∥ c, s-polarized pump, s-polarized THz detection, temperature dependence\r\n3.\tB_perp_c_linear_spump_sprobe_field: B ⟂ c, s-polarized pump, s-polarized THz detection, magnetic field dependence\r\n4.\tB_perp_c_linear_spump_sprobe_temperature: B ⟂ c, s-polarized pump, s-polarized THz detection, temperature dependence\r\n5.\tB_parallel_c_LCPRCP_pump_sprobe_field: B ∥ c, circularly polarized pump (LCP & RCP), s-polarized THz detection, magnetic field dependence\r\n\r\n<b>→Theoretical model code (theoretical_model.zip):</b>\r\nThe Python script depends on packages “numpy” and “matplotlib”. The script generates a plot of the dispersion relations of the theoretical model introduced in the Main Text. More precisely, it plots the real (red) and imaginary (blue) parts of the frequency (omega) as a function of wavenumber (k) as obtained by solving the characteristic equation, equation (6) of the Supplemental Information, with sigma_E and sigma_M given respectively by equations (3) and (2) of the Main Text. All branches of the dispersion relations are plotted simultaneously. All model parameters are adjustable.\r\nThe included Mathematica notebook was used to obtain symbolic expressions for the coefficients of powers of omega appearing in the characteristic determinant. These coefficients were copied directly into the Python function detCoeffs().\r\n\r\n<b>→ Standalone scripts (not in subfolders):</b>\r\n•\tChiralPointGroups.m\r\nOutputs a table summarizing the 2D matrix representation of σΜ in the 11 enantiomorphic point groups.\r\n•\tTHz_current_estimation.m\r\nEstimates the photoinduced THz current in tellurium under magnetic field. The script evaluates a phenomenological resonant contribution to the magnetoelectric coupling (with negligible dependence on NIR polarization), leading to excitation of s-polarized, B-antisymmetric mode Sodd at ~0.37 THz.\r\n\r\n* <b> NOTE:</b> New in this V3: \r\n1. 2 new MATLAB files (ChiralPointGroups.m and THz_current_estimation.m) and theoretical model code (theoretical_model.zip) are added. More information can be found in the readme. \r\n2. Change \"license\" from CC BY to \"Other license\". Licensing Terms: Data is under CC BY and Code is released under MIT license.\r\n"]}
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2025-07-29T19:33:18Z
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Dataset
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update: {"description"=>["This repository provides the data and code used to reproduce key plots from the manuscript and to extend discussions that were only briefly covered therein. All MATLAB scripts were developed and tested in MATLAB R2024a. All Python scripts were developed and tested in Python 3.11.2. \r\n\r\n* <b> NOTE:</b> New in this V3: 2 new MATLAB files (ChiralPointGroups.m and THz_current_estimation.m) and theoretical model code (theoretical_model.zip) are added. More information can be found in the readme. ", "This repository provides the data and code used to reproduce key plots from the manuscript and to extend discussions that were only briefly covered therein. All MATLAB scripts were developed and tested in MATLAB R2024a. All Python scripts were developed and tested in Python 3.11.2. \r\n\r\n* <b> NOTE:</b> New in this V3: \r\n1. 2 new MATLAB files (ChiralPointGroups.m and THz_current_estimation.m) and theoretical model code (theoretical_model.zip) are added. More information can be found in the readme. \r\n2. Change \"license\" from CC BY to \"Other license\". Licensing Terms: Data is under CC BY and Code is released under MIT license.\r\n"], "license"=>["CCBY4", "license.txt"]}
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2025-07-29T19:29:40Z
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Dataset
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update: {"description"=>["The data and code provided in \"publication_data.zip\" can be used to generate plots that show the results of linear prediction algorithm and the amplified modes, supporting the key argument of the manuscript. The dispersion relations of the theoretical model presented in the text can be generated by the code in \"theoretical_model.zip\" (python3 dependencies: numpy and matplotlib).\r\n\r\nThe archive \"publication_data.zip\" is divided into five subfolders, each corresponding to one combination of external condition (magnetic field B, temperature), scan parameter (temperature, magnetic field B), pump laser polarization (linear s, linear p, and circular), and sample orientation ( B parallel to c axis, B perpendicular to c axis):\r\n1) B parallel to c axis, linear pump polarization in s, linear THz emission polarization in s, field dependence (B_parallel_c_linear_spump_sprobe_field).\r\n2) B parallel to c axis, linear pump polarization in s, linear THz emission polarization in s, temperature dependence (B_parallel_c_linear_spump_sprobe_temperature).\r\n3) B perpendicular to c axis, linear pump polarization in s, linear THz emission polarization in s, field dependence (B_perp_c_linear_spump_sprobe_field).\r\n4) B perpendicular to c axis, linear pump polarization in s, linear THz emission polarization in s, temperature dependence (B_perp_c_linear_spump_sprobe_temperature).\r\n5) B parallel to c axis, circular pump polarization (left circularly polarized LCP and right circularly polarized RCP), linear THz emission polarization in s, field dependence (B_parallel_c_LCPRCP_pump_sprobe_field).\r\n\r\nEach folder contains the raw data (.mat), the oscillator parameters obtained through linear prediction algorithm (.mat), and the plot-generating code (.m). The code plots the raw data, the fit to the processed data, and the amplified modes.\r\nCodes are written in MATLAB R2024a; the working directory of each code should be the corresponding subfolder that contains it. \r\n\r\n* <b> NOTE:</b> New in this V3: 2 new MATLAB files are added [ perhaps provide the reason why they are added] \r\n- ChiralPointGroups.m: [...... explain what this .m is for] \r\n- THz_current_estimation.m: [ ................explain what this .m is for]", "This repository provides the data and code used to reproduce key plots from the manuscript and to extend discussions that were only briefly covered therein. All MATLAB scripts were developed and tested in MATLAB R2024a. All Python scripts were developed and tested in Python 3.11.2. \r\n\r\n* <b> NOTE:</b> New in this V3: 2 new MATLAB files (ChiralPointGroups.m and THz_current_estimation.m) and theoretical model code (theoretical_model.zip) are added. More information can be found in the readme. "]}
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2025-07-29T19:13:57Z
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Dataset
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update: {"description"=>["The data and code provided in \"publication_data.zip\" can be used to generate plots that show the results of linear prediction algorithm and the amplified modes, supporting the key argument of the manuscript. The dispersion relations that follow from the theoretical model presented in the text can be generated by the code in \"theoretical_model.zip\" (python3 dependencies: numpy and matplotlib).\r\n\r\nThe archive \"publication_data.zip\" is divided into five subfolders, each corresponding to one combination of external condition (magnetic field B, temperature), scan parameter (temperature, magnetic field B), pump laser polarization (linear s, linear p, and circular), and sample orientation ( B parallel to c axis, B perpendicular to c axis):\r\n1) B parallel to c axis, linear pump polarization in s, linear THz emission polarization in s, field dependence (B_parallel_c_linear_spump_sprobe_field).\r\n2) B parallel to c axis, linear pump polarization in s, linear THz emission polarization in s, temperature dependence (B_parallel_c_linear_spump_sprobe_temperature).\r\n3) B perpendicular to c axis, linear pump polarization in s, linear THz emission polarization in s, field dependence (B_perp_c_linear_spump_sprobe_field).\r\n4) B perpendicular to c axis, linear pump polarization in s, linear THz emission polarization in s, temperature dependence (B_perp_c_linear_spump_sprobe_temperature).\r\n5) B parallel to c axis, circular pump polarization (left circularly polarized LCP and right circularly polarized RCP), linear THz emission polarization in s, field dependence (B_parallel_c_LCPRCP_pump_sprobe_field).\r\n\r\nEach folder contains the raw data (.mat), the oscillator parameters obtained through linear prediction algorithm (.mat), and the plot-generating code (.m). The code plots the raw data, the fit to the processed data, and the amplified modes.\r\nCodes are written in MATLAB R2024a; the working directory of each code should be the corresponding subfolder that contains it. \r\n\r\n* <b> NOTE:</b> New in this V3: 2 new MATLAB files are added [ perhaps provide the reason why they are added] \r\n- ChiralPointGroups.m: [...... explain what this .m is for] \r\n- THz_current_estimation.m: [ ................explain what this .m is for]", "The data and code provided in \"publication_data.zip\" can be used to generate plots that show the results of linear prediction algorithm and the amplified modes, supporting the key argument of the manuscript. The dispersion relations of the theoretical model presented in the text can be generated by the code in \"theoretical_model.zip\" (python3 dependencies: numpy and matplotlib).\r\n\r\nThe archive \"publication_data.zip\" is divided into five subfolders, each corresponding to one combination of external condition (magnetic field B, temperature), scan parameter (temperature, magnetic field B), pump laser polarization (linear s, linear p, and circular), and sample orientation ( B parallel to c axis, B perpendicular to c axis):\r\n1) B parallel to c axis, linear pump polarization in s, linear THz emission polarization in s, field dependence (B_parallel_c_linear_spump_sprobe_field).\r\n2) B parallel to c axis, linear pump polarization in s, linear THz emission polarization in s, temperature dependence (B_parallel_c_linear_spump_sprobe_temperature).\r\n3) B perpendicular to c axis, linear pump polarization in s, linear THz emission polarization in s, field dependence (B_perp_c_linear_spump_sprobe_field).\r\n4) B perpendicular to c axis, linear pump polarization in s, linear THz emission polarization in s, temperature dependence (B_perp_c_linear_spump_sprobe_temperature).\r\n5) B parallel to c axis, circular pump polarization (left circularly polarized LCP and right circularly polarized RCP), linear THz emission polarization in s, field dependence (B_parallel_c_LCPRCP_pump_sprobe_field).\r\n\r\nEach folder contains the raw data (.mat), the oscillator parameters obtained through linear prediction algorithm (.mat), and the plot-generating code (.m). The code plots the raw data, the fit to the processed data, and the amplified modes.\r\nCodes are written in MATLAB R2024a; the working directory of each code should be the corresponding subfolder that contains it. \r\n\r\n* <b> NOTE:</b> New in this V3: 2 new MATLAB files are added [ perhaps provide the reason why they are added] \r\n- ChiralPointGroups.m: [...... explain what this .m is for] \r\n- THz_current_estimation.m: [ ................explain what this .m is for]"]}
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2025-07-28T18:06:44Z
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Dataset
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update: {"description"=>["The data and code provided in publication_data.zip can be used to generate plots that show the results of linear prediction algorithm and the amplified modes, supporting the key argument of the manuscript. The dispersion relations that follow from the theoretical model presented in the text can be generated by the code in theoretical_model.zip (python3 dependencies: numpy and matplotlib).\r\n\r\nThe structure of publication_data.zip is divided into five subfolders, each corresponding to one combination of external condition (magnetic field B, temperature), scan parameter (temperature, magnetic field B), pump laser polarization (linear s, linear p, and circular), and sample orientation ( B parallel to c axis, B perpendicular to c axis):\r\n1) B parallel to c axis, linear pump polarization in s, linear THz emission polarization in s, field dependence (B_parallel_c_linear_spump_sprobe_field).\r\n2) B parallel to c axis, linear pump polarization in s, linear THz emission polarization in s, temperature dependence (B_parallel_c_linear_spump_sprobe_temperature).\r\n3) B perpendicular to c axis, linear pump polarization in s, linear THz emission polarization in s, field dependence (B_perp_c_linear_spump_sprobe_field).\r\n4) B perpendicular to c axis, linear pump polarization in s, linear THz emission polarization in s, temperature dependence (B_perp_c_linear_spump_sprobe_temperature).\r\n5) B parallel to c axis, circular pump polarization (left circularly polarized LCP and right circularly polarized RCP), linear THz emission polarization in s, field dependence (B_parallel_c_LCPRCP_pump_sprobe_field).\r\n\r\nEach folder contains the raw data (.mat), the oscillator parameters obtained through linear prediction algorithm (.mat), and the plot-generating code (.m). The code plots the raw data, the fit to the processed data, and the amplified modes.\r\nCodes are written in MATLAB R2024a; the working directory of each code should be the corresponding subfolder that contains it. \r\n\r\n* <b> NOTE:</b> New in this V3: 2 new MATLAB files are added [ perhaps provide the reason why they are added] \r\n- ChiralPointGroups.m: [...... explain what this .m is for] \r\n- THz_current_estimation.m: [ ................explain what this .m is for]", "The data and code provided in \"publication_data.zip\" can be used to generate plots that show the results of linear prediction algorithm and the amplified modes, supporting the key argument of the manuscript. The dispersion relations that follow from the theoretical model presented in the text can be generated by the code in \"theoretical_model.zip\" (python3 dependencies: numpy and matplotlib).\r\n\r\nThe archive \"publication_data.zip\" is divided into five subfolders, each corresponding to one combination of external condition (magnetic field B, temperature), scan parameter (temperature, magnetic field B), pump laser polarization (linear s, linear p, and circular), and sample orientation ( B parallel to c axis, B perpendicular to c axis):\r\n1) B parallel to c axis, linear pump polarization in s, linear THz emission polarization in s, field dependence (B_parallel_c_linear_spump_sprobe_field).\r\n2) B parallel to c axis, linear pump polarization in s, linear THz emission polarization in s, temperature dependence (B_parallel_c_linear_spump_sprobe_temperature).\r\n3) B perpendicular to c axis, linear pump polarization in s, linear THz emission polarization in s, field dependence (B_perp_c_linear_spump_sprobe_field).\r\n4) B perpendicular to c axis, linear pump polarization in s, linear THz emission polarization in s, temperature dependence (B_perp_c_linear_spump_sprobe_temperature).\r\n5) B parallel to c axis, circular pump polarization (left circularly polarized LCP and right circularly polarized RCP), linear THz emission polarization in s, field dependence (B_parallel_c_LCPRCP_pump_sprobe_field).\r\n\r\nEach folder contains the raw data (.mat), the oscillator parameters obtained through linear prediction algorithm (.mat), and the plot-generating code (.m). The code plots the raw data, the fit to the processed data, and the amplified modes.\r\nCodes are written in MATLAB R2024a; the working directory of each code should be the corresponding subfolder that contains it. \r\n\r\n* <b> NOTE:</b> New in this V3: 2 new MATLAB files are added [ perhaps provide the reason why they are added] \r\n- ChiralPointGroups.m: [...... explain what this .m is for] \r\n- THz_current_estimation.m: [ ................explain what this .m is for]"]}
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2025-07-28T18:05:34Z
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Dataset
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update: {"description"=>["The data and code provided in this dataset can be used to generate plots that show the results of linear prediction algorithm and the amplified modes, supporting the key argument of the manuscript. \r\nIt is divided into five subfolders, each corresponding to one combination of external condition (magnetic field B, temperature), scan parameter (temperature, magnetic field B), pump laser polarization (linear s, linear p, and circular), and sample orientation ( B parallel to c axis, B perpendicular to c axis):\r\n1) B parallel to c axis, linear pump polarization in s, linear THz emission polarization in s, field dependence (B_parallel_c_linear_spump_sprobe_field).\r\n2) B parallel to c axis, linear pump polarization in s, linear THz emission polarization in s, temperature dependence (B_parallel_c_linear_spump_sprobe_temperature).\r\n3) B perpendicular to c axis, linear pump polarization in s, linear THz emission polarization in s, field dependence (B_perp_c_linear_spump_sprobe_field).\r\n4) B perpendicular to c axis, linear pump polarization in s, linear THz emission polarization in s, temperature dependence (B_perp_c_linear_spump_sprobe_temperature).\r\n5) B parallel to c axis, circular pump polarization (left circularly polarized LCP and right circularly polarized RCP), linear THz emission polarization in s, field dependence (B_parallel_c_LCPRCP_pump_sprobe_field).\r\n\r\nEach folder contains the raw data (.mat), the oscillator parameters obtained through linear prediction algorithm (.mat), and the plot-generating code (.m). The code plots the raw data, the fit to the processed data, and the amplified modes.\r\nCodes are written in MATLAB R2024a; the working directory of each code should be the corresponding subfolder that contains it. \r\n\r\n* <b> NOTE:</b> New in this V3: 2 new MATLAB files are added [ perhaps provide the reason why they are added] \r\n- ChiralPointGroups.m: [...... explain what this .m is for] \r\n- THz_current_estimation.m: [ ................explain what this .m is for]", "The data and code provided in publication_data.zip can be used to generate plots that show the results of linear prediction algorithm and the amplified modes, supporting the key argument of the manuscript. The dispersion relations that follow from the theoretical model presented in the text can be generated by the code in theoretical_model.zip (python3 dependencies: numpy and matplotlib).\r\n\r\nThe structure of publication_data.zip is divided into five subfolders, each corresponding to one combination of external condition (magnetic field B, temperature), scan parameter (temperature, magnetic field B), pump laser polarization (linear s, linear p, and circular), and sample orientation ( B parallel to c axis, B perpendicular to c axis):\r\n1) B parallel to c axis, linear pump polarization in s, linear THz emission polarization in s, field dependence (B_parallel_c_linear_spump_sprobe_field).\r\n2) B parallel to c axis, linear pump polarization in s, linear THz emission polarization in s, temperature dependence (B_parallel_c_linear_spump_sprobe_temperature).\r\n3) B perpendicular to c axis, linear pump polarization in s, linear THz emission polarization in s, field dependence (B_perp_c_linear_spump_sprobe_field).\r\n4) B perpendicular to c axis, linear pump polarization in s, linear THz emission polarization in s, temperature dependence (B_perp_c_linear_spump_sprobe_temperature).\r\n5) B parallel to c axis, circular pump polarization (left circularly polarized LCP and right circularly polarized RCP), linear THz emission polarization in s, field dependence (B_parallel_c_LCPRCP_pump_sprobe_field).\r\n\r\nEach folder contains the raw data (.mat), the oscillator parameters obtained through linear prediction algorithm (.mat), and the plot-generating code (.m). The code plots the raw data, the fit to the processed data, and the amplified modes.\r\nCodes are written in MATLAB R2024a; the working directory of each code should be the corresponding subfolder that contains it. \r\n\r\n* <b> NOTE:</b> New in this V3: 2 new MATLAB files are added [ perhaps provide the reason why they are added] \r\n- ChiralPointGroups.m: [...... explain what this .m is for] \r\n- THz_current_estimation.m: [ ................explain what this .m is for]"]}
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2025-07-28T18:04:11Z
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Creator
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create: {"family_name"=>"Abboud", "given_name"=>"Nick", "identifier"=>"0000-0003-2662-9408", "email"=>"nka2@illinois.edu", "is_contact"=>false, "row_position"=>2}
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2025-07-18T14:19:39Z
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Dataset
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update: {"description"=>["The data and code provided in this dataset can be used to generate plots that show the results of linear prediction algorithm and the amplified modes, supporting the key argument of the manuscript. \r\nIt is divided into five subfolders, each corresponding to one combination of external condition (magnetic field B, temperature), scan parameter (temperature, magnetic field B), pump laser polarization (linear s, linear p, and circular), and sample orientation ( B parallel to c axis, B perpendicular to c axis):\r\n1) B parallel to c axis, linear pump polarization in s, linear THz emission polarization in s, field dependence (B_parallel_c_linear_spump_sprobe_field).\r\n2) B parallel to c axis, linear pump polarization in s, linear THz emission polarization in s, temperature dependence (B_parallel_c_linear_spump_sprobe_temperature).\r\n3) B perpendicular to c axis, linear pump polarization in s, linear THz emission polarization in s, field dependence (B_perp_c_linear_spump_sprobe_field).\r\n4) B perpendicular to c axis, linear pump polarization in s, linear THz emission polarization in s, temperature dependence (B_perp_c_linear_spump_sprobe_temperature).\r\n5) B parallel to c axis, circular pump polarization (left circularly polarized LCP and right circularly polarized RCP), linear THz emission polarization in s, field dependence (B_parallel_c_LCPRCP_pump_sprobe_field).\r\n\r\nEach folder contains the raw data (.mat), the oscillator parameters obtained through linear prediction algorithm (.mat), and the plot-generating code (.m). The code plots the raw data, the fit to the processed data, and the amplified modes.\r\nCodes are written in MATLAB R2024a; the working directory of each code should be the corresponding subfolder that contains it. \r\n\r\n* New in this V3: 2 new MATLAB files are added [ perhaps provide the reason why they are added] \r\n- ChiralPointGroups.m: [...... explain what this .m is for] \r\n- THz_current_estimation.m: [ ................explain what this .m is for]", "The data and code provided in this dataset can be used to generate plots that show the results of linear prediction algorithm and the amplified modes, supporting the key argument of the manuscript. \r\nIt is divided into five subfolders, each corresponding to one combination of external condition (magnetic field B, temperature), scan parameter (temperature, magnetic field B), pump laser polarization (linear s, linear p, and circular), and sample orientation ( B parallel to c axis, B perpendicular to c axis):\r\n1) B parallel to c axis, linear pump polarization in s, linear THz emission polarization in s, field dependence (B_parallel_c_linear_spump_sprobe_field).\r\n2) B parallel to c axis, linear pump polarization in s, linear THz emission polarization in s, temperature dependence (B_parallel_c_linear_spump_sprobe_temperature).\r\n3) B perpendicular to c axis, linear pump polarization in s, linear THz emission polarization in s, field dependence (B_perp_c_linear_spump_sprobe_field).\r\n4) B perpendicular to c axis, linear pump polarization in s, linear THz emission polarization in s, temperature dependence (B_perp_c_linear_spump_sprobe_temperature).\r\n5) B parallel to c axis, circular pump polarization (left circularly polarized LCP and right circularly polarized RCP), linear THz emission polarization in s, field dependence (B_parallel_c_LCPRCP_pump_sprobe_field).\r\n\r\nEach folder contains the raw data (.mat), the oscillator parameters obtained through linear prediction algorithm (.mat), and the plot-generating code (.m). The code plots the raw data, the fit to the processed data, and the amplified modes.\r\nCodes are written in MATLAB R2024a; the working directory of each code should be the corresponding subfolder that contains it. \r\n\r\n* <b> NOTE:</b> New in this V3: 2 new MATLAB files are added [ perhaps provide the reason why they are added] \r\n- ChiralPointGroups.m: [...... explain what this .m is for] \r\n- THz_current_estimation.m: [ ................explain what this .m is for]"]}
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2025-07-17T17:04:49Z
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Creator
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destroy: {"family_name"=>"Mahmood", "given_name"=>"Fahad", "identifier"=>"0000-0002-7179-4632", "email"=>"fahad@illinois.edu", "is_contact"=>false, "row_position"=>2}
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2025-07-17T17:04:15Z
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RelatedMaterial
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update: {"note"=>[nil, ""]}
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2025-07-17T17:04:15Z
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Dataset
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update: {"hold_state"=>["version candidate under curator review", "none"]}
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2025-07-17T16:56:00Z
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Dataset
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update: {"version_comment"=>[nil, "Added new files ... [ask Yijing later ..]"]}
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2025-07-17T16:54:50Z
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RelatedMaterial
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create: {"material_type"=>"Dataset", "availability"=>nil, "link"=>"https://doi.org/10.13012/B2IDB-1409842_V2", "uri"=>"10.13012/B2IDB-1409842_V2", "uri_type"=>"DOI", "citation"=>"Huang, Yijing; Mahmood, Fahad (2025): Data for Observation of a Dynamic Magneto-chiral Instability in Photoexcited Tellurium. University of Illinois Urbana-Champaign. https://doi.org/10.13012/B2IDB-1409842_V2", "dataset_id"=>3014, "selected_type"=>"Dataset", "datacite_list"=>"IsNewVersionOf", "note"=>nil, "feature"=>nil}
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2025-07-17T16:30:08Z
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RelatedMaterial
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create: {"material_type"=>"Preprint", "availability"=>nil, "link"=>"https://doi.org/10.48550/arXiv.2502.05170", "uri"=>"10.48550/arXiv.2502.05170", "uri_type"=>"DOI", "citation"=>"Huang, Y., Abboud, N., Lv, Y., Zhu, P., Murzabekova, A., Lee, C., Pappas, E.A., Petruzzi, D., Yan, J.Y., Chauduri, D., Abbamonte, P., Shoemaker, D.P., Fernandes, R.M., Noronha, J., & Mahmood, F. (2025). Observation of a dynamic magneto-chiral instability in photoexcited tellurium. doi: https://doi.org/10.48550/arXiv.2502.05170", "dataset_id"=>3014, "selected_type"=>"Other", "datacite_list"=>"IsSupplementTo", "note"=>"", "feature"=>nil}
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2025-07-17T16:30:08Z
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Funder
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create: {"name"=>"U.S. Department of Energy (DOE)", "identifier"=>"10.13039/100000015", "identifier_scheme"=>"DOI", "grant"=>"Award No.DE-SC0021238", "dataset_id"=>3014, "code"=>"DOE"}
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2025-07-17T16:30:07Z
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Creator
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create: {"family_name"=>"Mahmood", "given_name"=>"Fahad", "identifier"=>"0000-0002-7179-4632", "email"=>"fahad@illinois.edu", "is_contact"=>false, "row_position"=>2}
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2025-07-17T16:30:07Z
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Creator
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create: {"family_name"=>"Huang", "given_name"=>"Yijing", "identifier"=>"0000-0002-5453-7722", "email"=>"huangyj@alumni.stanford.edu", "is_contact"=>true, "row_position"=>1}
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2025-07-17T16:30:07Z
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Dataset
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update: {"corresponding_creator_name"=>[nil, "Yijing Huang"], "corresponding_creator_email"=>[nil, "huangyj@alumni.stanford.edu"]}
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2025-07-17T16:30:07Z
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