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FCpy: Feldman-Cousins Confidence Interval Calculator
Data provided by National Institute of Standards and Technology
Python scripts and Python+Qt graphical user interface for calculating Feldman-Cousins confidence intervals for low-count Poisson processes in the presence of a known background and for Gaussian processes with a physical lower limit of 0.
Tags: python,SIMS,statistics,mass spectrometry,Confidence Interval,CI,Feldman,Cousins,Poisson,Gaussian,
Modified: 2024-02-22
Views: 0
Thermal Conductivity of Binary Mixtures of 1,1,1,2-Tetrafluoroethane(R-134a), 2,3,3,3-Tetrafluoropropene (R-1234yf), and trans-1,3,3,3-Tetrafluoropropene (R-1234ze(E)) Refrigerants
Data provided by National Institute of Standards and Technology
Workflow: The data that falls into this category are gathered from a measurement program and are published in the archival literature.
Tags: Advanced Materials,Energy,Environment and Climate,Physical Infrastructure,Safety,Security and Forensics,
Modified: 2024-02-22
Views: 0
Entropy Source Validation Client
Data provided by National Institute of Standards and Technology
This tool is a Python client that can interact with the NIST Entropy Source Validation Test System.
Tags: python,Entropy Source Validation Test System,NIST,CMVP,ESV Client,
Modified: 2024-02-22
Views: 0
Python tools for measuring filament defects in embedded 3D printing
Data provided by National Institute of Standards and Technology
In embedded 3D printing, a nozzle is embedded into a support bath and extrudes filaments or droplets into the bath. This repository includes Python code for analyzing and managing images and videos of the printing process during extrusion of single filaments. The zip file contains the state of the code when the associated paper was submitted. The link to the GitHub page goes to version 1.0.0, which is the same as the code attached here. From there, you can also access the current state of the code.Associated with: L. Friedrich, R. Gunther, J.
Tags: python,digital image analysis,computer vision,3D printing,additive manufacturing,openCV,
Modified: 2024-02-22
Views: 0
Simantha: Simulation for Manufacturing
Data provided by National Institute of Standards and Technology
Simantha is a discrete event simulation package written in Python that is designed to model the behavior of discrete manufacturing systems. Specifically, it focuses on asynchronous production lines with finite buffers. It also provides functionality for modeling the degradation and maintenance of machines in these systems. Classes for five basic manufacturing objects are included: source, machine, buffer, sink, and maintainer. These objects can be defined by the user and configured in different ways to model various real-world manufacturing systems.
Tags: discrete-event simulation,manufacturing,production,maintenance,python,
Modified: 2024-02-22
Views: 0
Speed of Sound Measurements of Binary Mixtures of Difluoromethane (R-32) with 2,3,3,3-Tetrafluoropropene (R-1234yf) or trans-1,3,3,3-Tetrafluoropropene (R-1234ze(E)) Refrigerants
Data provided by National Institute of Standards and Technology
Speed of Sound Measurements of Binary Mixtures of Difluoromethane (R-32) with 2,3,3,3-Tetrafluoropropene (R-1234yf) or trans-1,3,3,3-Tetrafluoropropene (R-1234ze(E)) Refrigerants
Tags: Advanced Materials,Energy,Environment and Climate,Physical Infrastructure,Safety,Security and Forensics,
Modified: 2024-02-22
Views: 0
multicomplex: C++ and Python code for multicomplex arithmetic
Data provided by National Institute of Standards and Technology
The library multicomplex is an implementation of multicomplex algebra in C++ to allow for higher-order derivatives of numerical functions. Many (though not all) mathematical functions are implemented, allowing for calculation of derivatives (straight and mixed) to approximately numerical precision, which is difficult or impossible to achieve in conventional double precision
Tags: mathematics,multicomplex,derivatives,C++,python,
Modified: 2024-02-22
Views: 0
The NIST Scan Framework for ARTIQ
Data provided by National Institute of Standards and Technology
The NIST scan framework is a framework that greatly simplifies the process of writing and maintaining scans of experimental parameters using the ARTIQ control system and language. The framework adopts the philosophy of convention over configuration where datasets are stored for analysis and plotting in a standard directory structure. The framework provides a number of useful features such as automatic calculation of statistics, fitting, validation of fits, and plotting that do not need to be performed by the user.
Tags: ARTIQ,python,Scans,
Modified: 2024-02-22
Views: 0
NIST/ARPA-E Database of Novel and Emerging Adsorbent Materials
Data provided by National Institute of Standards and Technology
The NIST/ARPA-E Database of Novel and Emerging Adsorbent Materials is a free, web-based catalog of adsorbent materials and measured adsorption properties of numerous materials obtained from article entries from the scientific literature. Search fields for the database include adsorbent material, adsorbate gas, experimental conditions (pressure, temperature), and bibliographic information (author, title, journal), and results from queries are provided as a list of articles matching the search parameters.
Tags: adsorbate,adsorbent,adsorption,isotherm,metal organic Framework,porous Material,surface science,Advanced Materials,Energy,Environment and Climate,manufacturing,
Modified: 2024-02-22
Views: 0
pySCATMECH: A Python interface to the SCATMECH C++ library of polarized light scattering codes
Data provided by National Institute of Standards and Technology
SCATMECH is a library of object-oriented C++ computer codes originally developed for disseminating models for polarized light scattering from surfaces and aerosols and for diffraction from gratings. The pySCATMECH package has been developed as an interface to the SCATMECH library, simplifying use of the codes and allowing for more rapid development of software for these applications.
Tags: aerosol,bidirectional reflectance,BRDF,diffuse,gratings,Mie scattering,modeling,Mueller matrix,polarization,python,roughness,scatter,surface,
Modified: 2024-02-22
Views: 0