mieskolainen Goto Github PK
Name: Mikael Mieskolainen
Type: User
Company: Imperial College London
Bio: AI & High Energy Physics
Location: I-X and Blackett Laboratory
Name: Mikael Mieskolainen
Type: User
Company: Imperial College London
Bio: AI & High Energy Physics
Location: I-X and Blackett Laboratory
Jacob-Wick helicity amplitudes, angular distributions and SU(2) decomposition functions
SARS-CoV-2 (COVID-19) Infection Fatality Rate [medRxiv:2020.11.19.20235036]
Sliding 2D-DCT matrix (image) filter
DeepEfficiency - optimal efficiency inversion in higher dimensions at the LHC [arXiv:1809.06101]
High Energy Diffraction Analysis at the LHC via Combinatorial Algebra, CERN-THESIS-2020-152 [arXiv:1910.06279]
Grid processing code (ALICE), CERN-THESIS-2020-152
Multichannel Double Recursive Frequentist-Bayesian Particle Identification algorithm in HEP
Fast/toy Monte Carlo generator (use GRANIITTI for proper simulations)
yy->yy (light by light) scattering amplitudes
Complex Resonance Spectrum Fits for Glueball Searches etc.
Monte Carlo Event Generator for High Energy Diffraction [arXiv:1910.06300] [arXiv:2304.06010]
High Energy Physics Statistics Exercises
Hidden Markov Model algorithms
HyperTrack: Neural Combinatorics for High Energy Physics [arXiv:2309.14113]
D<ee>p learning [dev library]
Inverse Decomposition of Energy Consumption (NILM)
On the Inversion of High Energy Proton, K-Fold Inverse of Stochastic Autoconvolution [arXiv:1905.12585]
L1T
LHC Beam Loss Monitor (BLM) reader
A standalone minimal example of how to use libtorch (PyTorch C++ API)
Custom histogramming and plotting for Matlab
megasim (Pythia to HepMC to Delphes)
N-body gravity simulation
Custom nanoAOD mechanics -- work in progress
NeuroJacobian - automatic learning of Jacobian mappings
Nonlinear Regge trajectories
A symbolic package for generating physics polynomials
RLS-Golomb-Rice lossless codec
Neyman-Pearson lemma, likelihood ratio, ROC, efficiency, purity, Bayes error
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.