ampform

Amplitude analyzer

Automatically generates symbolic amplitude models for analyzing particle decays

Automatically generate symbolic amplitude models for Partial Wave Analysis

GitHub

11 stars
7 watching
6 forks
Language: Python
last commit: 15 days ago
amplitude-analysiscaspartial-wave-analysispwasympy

Related projects:

Repository Description Stars
compwa/tensorwaves A Python package for optimizing mathematical models to data samples using multiple computational back-ends. 10
comprna/suppa An analysis tool for studying splicing at different levels across multiple conditions 262
bachlab/pspm A software suite for model-based analysis of psychophysiological signals 43
mph-/lcapy A Python package for symbolic linear circuit analysis and signal processing using SymPy. 245
csyhuang/hn2016_falwa Computes diagnostic metrics from climate data to analyze wave activity in the atmosphere. 34
jgillam/burp-paramalyzer An extension for parameter analysis in web application penetration testing 154
epergo/sublimelinter-contrib-ameba A tool providing an interface between Sublime Text and the Ameba code analysis engine 14
weiliangjinca/grcwa A Python implementation of rigorous coupled wave analysis for electromagnetics and photonic crystal slabs with autograd support for optimization. 65
hiddenillusion/analyzepe Analyzes PE files by combining data from various tools to generate a centralized report. 204
bo0om/parampampam Tools for brute-forcing GET and POST parameters in web applications 271
pachterlab/pcca A software project that performs statistical analysis on biological data using Principal Component Correlation Analysis (PCCA) and related methods. 18
binaryanalysisplatform/bap A comprehensive toolkit for analyzing and understanding binary programs 2,068
powergridmodel/power-grid-model A C++ library for steady-state analysis of distribution power systems 146
curent/andes A Python toolbox for simulating power system dynamics using symbolic modeling and numerical analysis. 236
tuw-geo/ecmwf_models Provides tools for accessing and processing ECMWF reanalysis data 38