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Data associated with "Two-dimensional imaging of electromagnetic fields via light sheet fluorescence imaging with Rydberg atoms"
Data associated with the publication: "Two-dimensional imaging of electromagnetic fields via light sheet fluorescence imaging with Rydberg atoms"Abstract:The ability to image electromagnetic fields holds key scientific and industrial applications, including electromagnetic compatibility, diagnostics of high-frequency devices, and experimental scientific work involving field interactions. Generally electric and magnetic field measurements require conductive elements which significantly perturb the field. However, electromagnetic fields can be measured non-perturbatively via the shift they induce on Rydberg states of alkali atoms in atomic vapor, which are highly sensitive to electric fields. Previous field measurements using Rydberg atoms utilized electromagnetically induced transparency to read out the shift on the states induced by the fields, but did not provide spatial resolution. In this work, we demonstrate that electromagnetically induced transparency can be spatially resolved by imaging the fluorescence of the probe. We demonstrate that this can be used to image $\sim$V/cm scale electric fields in the MHz-GHz range and $\sim$mT scale static magnetic fields, with minimal perturbation to the fields. We also demonstrate the ability to image $\sim$ V/m scale fields for resonant microwave radiation, although standing waves generated by the vapor cell walls obscure external field structure in this regime. We perform this field imaging with a spatial resolution of order 160 $\mu$m.This dataset contains the data associated with Figure 1 c,f,g, and h, Figure 2, Figure 3 b,d,f, and h, Figure 4 c,d, and e, Figure 5 b, c, and e, Figure 6, and the Supplemental Material's Figure 1.
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Rydberg Atom Electrometry: Recent Sensitivity and Bandwidth Improvements
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We present recent improvements within the growing field of Rydberg atom sensors. While initially started as a path towards absolute, independent measurements of electric fields, the research landscape has evolved into the realm of quantum sensors and receivers. We discuss the capabilities and limitations of Rydberg atom receivers, and we show how different atomic properties enhance or limit sensitivity and bandwidth.This data is for a review paper. Figures 6 (a) and 8 (a) and (b) are new data. The rest of the data is extracted from other NIST publications that have a data management plan. Related data are from the following papers.https://doi.org/10.1063/5.0069195https://doi.org/10.48550/arXiv.2402.00718https://doi.org/10.1116/5.0098057
Data and code for the paper, "Inverse Transform Sampling for Efficient Doppler-Averaged Spectroscopy Simulations"
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This dataset represents the results of calculations of atomic absorption spectra for the case of two-color EIT. We compare computation methods, specifically Gaussian sampling, to find that one sampling method converges to smooth transmittance curves in less time than the other. We also include some example scripts which generate and plot the figure data.
Data for the article " Pseudo-resonant Detection of `Low Frequency' VHF Electric Fields via Rabi Matching with Autler-Townes Splitting in Rydberg Atoms"
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This dataset represents absorption/transmission spectra of resonant probe light power through a Rydberg atom vapor, subject to a simultaneous dressing field and a 'low frequency' field. Data is taken as an oscilloscope average of 5 photodiode voltage traces, with frequency offsets given by a simultaneous reference cell (not included). Some data are given as 2-D arrays, with axes of laser detuning across a waterfall of field strength. Some data represents theory eigen-energies of the system, for comparison. This paper will be submitted to Physical Review Letters.
Determining angle of arrival of radio frequency fields using subwavelength, amplitude-only measurements of standing waves in a Rydberg atom sensor
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Deep subwavelength RF imaging with atomic Rydberg sensors has overcome fundamental limitations of traditionalantennas and enabled ultra-wideband detection of omni-directional time varying fields all in a compactform factor. However, in most applications, Rydberg sensors require the use of a secondary strong RF referencefield to serve as a phase reference. Here, we demonstrate a new type of Rydberg sensor for Angle-of-Arrival(AoA) sensing which utilizes subwavelength imaging of standing wave fields. By placing a metallic plate withinthe Rydberg cell, we can determine the AoA independent of the strength of incoming RF field and without requiringa secondary strong RF phase reference field. We perform precision AoA measurements with a roboticantenna positioning system for 4.2, 5.0, and 5.7 GHz signals and demonstrate a 1.7◦ polar angular resolutionfrom 0◦ to 60◦ AoA and 4.1◦ over all possible angles.
Data for the paper, "On Efficient Spectroscopy Calculations for Thermal Distributions of Atoms"
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Simulated transmission curves illustrating an efficient new calculation method. Data was produced for a publication, and is indexed by figure.
NIST Database for the Simulation of Electron Spectra for Surface Analysis (SESSA) - SRD 100
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The NIST Database for the Simulation of Electron Spectra for Surface Analysis (SESSA) can be used to simulate Auger-electron spectra and X-ray photoelectron spectra of nanostructures such as islands, lines, spheres, and layered spheres on surfaces. As for earlier versions, such simulations can be performed for multilayer films. Users can specify the compositions and dimensions of each material in the sample structure as well as the measurement configuration. The database contains extensive physical data needed for quantitative interpretations of observed spectra. A more detailed description of SESSA has been published [W. Smekal, W. S. M. Werner, and C. J. Powell Surf. Interface Anal. 37, 1059 (2005)].
Van Allen Probe B Electric and Magnetic Field Instrument Suite and Integrated Science (EMFISIS) Density and other Parameters derived by digitizing Traces on Spectrograms, Level 4 (L4), 0.5 s Data
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Van Allen Probe B, Electric and Magnetic Field Instrument Suite and Integrated Science, EMFISIS, derived Density and other Parameters inferred by digitizing Traces on Spectrograms. The EMFISIS Waves Instrument provides a Measure of the Frequency of the Upper Hybrid Resonance Band thereby providing an accurate Determination of the Electron Density. The Electron Density is most easily and accurately measured by Means of Resonances and Cutoffs in the Wave Spectrum rather than Particle Detector Measurements which are subject to Spacecraft Charging and other complicating Factors.
Supplemental data for "Comparison of measured and simulated spin-wave mode spectra of magnetic nanostructures" by H. T. Nembach, R.D. McMichael, M.L. Schneider, J.M. Shaw, T.J. Silva.
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Supplemental data for "Comparison of measured and simulated spin-wave mode spectra of magnetic nanostructures" by H. T. Nembach, R.D. McMichael, M.L. Schneider, J.M. Shaw, T.J. Silva.1) Experimental spectra of approximately elliptical, 100 nm or 200 nm elliptical magnetic structures. 2) SEM images of the magnetic structures 3) Scripts and data used in micromagnetic modeling and simulated measurements of the structures. Experiment: In this work, we prepared two sets of Ni80Fe20 elliptical nanomagnets with nominal long axes lengths (short axes lengths) of 240 nm (200 nm) and 120 nm (100 nm): Thin-film layers of 3 nm Ta/10 nm Ni80Fe20/5 nm Si3N4 were dc-magnetron sputtered onto a sapphire substrate before a 15-nm diamond-like carbon (DLC) layer was deposited via ion-beam deposition in a separate vacuum chamber. The spin wave mode spectra of the magnetization dynamics were measured with a heterodyne magneto-optical microwave microscope (H-MOMM) Simulations: We carried out micromagnetic simulations using the Object Oriented MicroMagnetic Framework (OommF). To determine the shape for modeled nanomagnets, greyscale SEM images of the nanomagnets were converted into binary images using a thresholding algorithm. The original SEM images were given a Gaussian blur over 1.4 nm (3 pixels), rescaled by 25 % and given a secondary blur over 3.8 nm. A threshold value was determined using Otsu's method. The simulated spectra were extracted from impulse response calculations made at an array of applied field values in the experimental range. The modeling also provides the spatial profile of the spin wave modes. The bulk of the data is associated with the micromagnetic modeling. Files include OommF input '.mif' scripts, sample masks, modeling output and python scripts for analysis and plotting, and the resulting figures.