Nuclear data processing with legacy NJOY
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Updated
May 20, 2024 - Fortran
Nuclear data processing with legacy NJOY
Migrated to: https://gitlab.com/Oslandia/albion
Tools for calculating structural member cross sectional properties and a database of standard properties.
C/C++ library and Python bindings for x-ray cross sections, x-ray source spectra modeling, multi-material beam hardening correction, and dual energy decomposition algorithms
Code for calculating Coherent Elastic Neutrino-Nucleus Scattering (CEvNS) cross sections and recoil spectra. Also includes code for obtaining New Physics constraints from the COHERENT-2017 results.
xsec is a tool for fast evaluation of cross-sections, taking advantage of the power and flexibility of Gaussian process regression.
Python package for access, manipulation, and analysis of thermal neutron-capture gamma-ray data from the Evaluated Gamma-ray Activation File (EGAF) library.
CoSIMS, a Collision Simulator for Ion Mobility Spectrometry (Journal Article: https://doi.org/10.1021/acs.jpcb.9b01018)
Python script and tools to compute cross-sections along a streamline in python and ArcGIS.
Excel VBA library for creating steel shape objects based on the AISC Steel Manual.
handy tools for (engineering) geological work
Library to compute cross-sections and decay network of relevance for Galactic Cosmic Ray physics
Software for calculation of collisional cross sections
A Graphical User Interface for GANDR
A small python library to read multigroup nuclear data libraries.
This program, which was compiled using the MATLAB application, is a program that can calculate cross sections and perform multipol decomposition of the case of electromagnetic wave scattering in a system of coated spheres. This program was made as my undergraduate final project. The theory used to explain this scattering case is the Mie theory.
Simplified Models and subHalos distributions
This repository contains code that may be useful for processing geothermal bottomhole temperature (BHT) data into a useful format for spatial outlier analyses and spatial regressions. Plot templates for geotherms and cross sections are also available.
A PyQt5 app catered to the exploration industry for visualizing geologic drill hole data with features like cross-sections, simple 3D views, strip logs, scatter plots, and downhole line plots. Includes data transformation techniques like factor analysis, desurveying, and alpha-beta conversion.
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