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Optical spectra data for backward-wave spontaneous-parametric downconversion
Data provided by National Institute of Standards and Technology
Optical spectrum dataset for backward-wave spontaneous-parametric downconversion (BW SPDC) observed in sub-micron, periodically poled KTiOPO4 (PPKTP).
Tags: quantum communication,entangled-photon generation,nonlinear optics,
Modified: 2024-02-22
Views: 0
NIST Fingerprint Image Registration Library (NFRL). Registers a pair of fingerprint images using two pairs of control-points (pixel locations). Registration is rigid; translation and rotation are performed without scaling.
Data provided by National Institute of Standards and Technology
NFRL registers two fingerprint images based on a pair of corresponding control-points. It uses this control-pointpair of pixel locations within the images to translate and rotate the Moving image to the Fixed image.Runtime configuration parameters include:* moving and fixed image data in 8-bits-per-pixel grayscale (preferable but not required)* two-pairs of corresponding control points (pixel coordinates).The fingerprint-image rigid-registration process is performed in two steps:1.
Tags: fingerprint,image,registration,NFRL,control-points,translation,rotation,overlap,overlay,Otsu,moving,fixed,grayscale,png,bmp,
Modified: 2024-02-22
Views: 0
Recommended Practices for Calibrated Millimeter-Wave Modulated-Signal Measurements
Data provided by National Institute of Standards and Technology
In this paper, we have demonstrated the importance of choosing the correct reference plane for applications such as over-the-air (OTA) modulated-signal measurements at millimeter-wave frequencies. We have employed a modulated-signal source at 44 GHz for this demonstration. The measurements have been performed using NIST's calibrated sampling oscilloscope and are traceable to the primary standards. The EVM values and distributions are obtained after complete uncertainty analyses.
Tags: digitally modulated signals,error vector magnitude,predistortion,reference planes,uncertainty analysis.,
Modified: 2024-02-22
Views: 0
AM Bench 2022 Measurement Results Data: Optical Microscopy of Laser-scanned Single Tracks and Pads (AMB2022-03)
Data provided by National Institute of Standards and Technology
The following data files are provided in support of the AM Bench 2022 modeling challenges associated with bare plate single track and pad laser scans performed on the NIST Additive Manufacturing Metrology Testbed (https://www.nist.gov/el /ammt-temps).
Tags: laser powder bed fusion; additive manufacturing; AM-Bench; microscopy; melt pool geometry; cross-section;,
Modified: 2024-02-22
Views: 0
tmmc-lnpy: A python package to analyze Transition Matrix Monte Carlo lnPi data.
Data provided by National Institute of Standards and Technology
A python package to analyze ``lnPi`` data from Transition Matrix Monte Carlo(TMMC) simulation. The main output from TMMC simulations, ``lnPi``, provides a means to calculate a host of thermodynamicproperties. Moreover, if ``lnPi`` is calculated at a specific chemical potential, it can be reweighted to providethermodynamic information at a different chemical potential. The python package``tmmc-lnpy`` provides a wide array of routines to analyze ``lnPi`` data.
Tags: python,molecular simulation,data analysis,Transition Matrix Monte Carlo,statistical mechanics,
Modified: 2024-02-22
Views: 0
cmomy: A python package to calculate and manipulate Central (co)moments.
Data provided by National Institute of Standards and Technology
cmomy is a python package to calculate central moments and co-moments in a numerical stable and direct way. Behind the scenes, cmomy makes use of Numba to rapidly calculate moments. cmomy provides utilities to calculate central moments from individual samples, precomputed central moments, and precomputed raw moments. It also provides routines to perform bootstrap resampling based on raw data, or precomputed moments. cmomy has numpy array and xarray DataArray interfaces.
Tags: Numerical methods,python programming,statistics,
Modified: 2024-02-22
Views: 0
CyRSoXS: A GPU-accelerated virtual instrument for Polarized Resonant Soft X-ray Scattering (P-RSoXS)
Data provided by National Institute of Standards and Technology
Polarized Resonant Soft X-ray scattering (P-RSoXS) has emerged as a powerful synchrotron-based tool to measure structure in complex, chemically heterogeneous systems. P-RSoXS combines principles of X-ray scattering and X-ray spectroscopy; this combination provides unique sensitivity to molecular orientation and chemical heterogeneity in soft materials such as polymers and biomaterials.
Tags: polymer,python,C++,CUDA,polymer nanocomposite,polymer solution,X-ray scattering,software,tool,computation,
Modified: 2024-02-22
Views: 0
Simulations for Entropy Scaling Behavior of Molecular Models of Molten Salts
Data provided by National Institute of Standards and Technology
Parameters, input scripts, and molecular dynamics simulation results corresponding to the simulations performed for the paper "Entropy Scaling for Viscosity for Molecular Models of Molten Salts" by J.M. Young, I.H. Bell, and A.H. Harvey, submitted to J. Chem. Phys. in September 2022.
Tags: entropy,molecular dynamics,molten salt,viscosity,
Modified: 2024-02-22
Views: 0
Data from Fire Resilience of a Steel-Concrete Composite Floor System: Full-Scale Experimental Evaluation for Influence of Slab Reinforcement (Test #2)
Data provided by National Institute of Standards and Technology
The National Institute of Standards and Technology is currently conducting a series of large compartment fire tests to investigate the behavior and fire-induced failure mechanisms of the full-scale composite floor assemblies with the two-story steel gravity frame, two bays by three bays in plan. This report presents the experimental design and results from the second fire experiment (Test #2) conducted at the National Fire Research Laboratory.
Tags: fire,composite floor,steel beam,shear connection,steel building,fire resistance,passive fire protection,
Modified: 2024-02-22
Views: 0
5G NR/LTE Sidelink Capacity Estimator
Data provided by National Institute of Standards and Technology
This tool computes the expected link capacity in data rate (Mbit/s) for Sidelink considering 5G New Radio (NR) and Long Term Evolution (LTE) communication standards, as defined by the The 3rd Generation Partnership Project (3GPP). Users can input the respective configuration parameters and evaluate the resulting capacity.The tool provides side-by-side chart plotting between NR and LTE Sidelink capacities for easy comparison.
Tags: 5G,NR,4G,LTE,Sidelink,3GPP,Band 14,Public Safety,
Modified: 2024-02-22
Views: 0