juanrojochacon

Nikhef Theory Group and VU AmsterdamAmsterdam

Pinned Repositories

ml-ditp-attp
Machine Learning: a New Toolbox for Theoretical Physics (Advanced Topics in Theoretical Physics course)
Language:Jupyter Notebook13 4 08
OxfordHH4b
Code for Oxford HH 4b feasibility study
Language:TeX3 11 02
PbPDF
Lead PDF determination
Language:TeX0 3 00
PDFLattice2017
Latex source of the white paper from the PDFLattice2017 workshop in Oxford
Language:TeX2 6 00
EELSfitter
Machine learning fitting for Electron Energy Loss Spectroscopy
Language:Jupyter Notebook11 3 13
FPF-WG1
Working Group 1 "Neutrino interactions and hadron structure" of the Forward Physics Facility
Language:Jupyter Notebook0 4 10
ML4EFT
ML4EFT is a general open-source framework for the integration of unbinned multivariate observables into global fits of particle physics data.
Language:Mathematica6 6 31
ML4PA
Machine Learning for Physics and Astronomy
Language:Jupyter Notebook59 7 318
smefit_database
Repository for experimental data and theory calculations database
Language:Python1 3 90
smefit_release
SMEFiT a Standard Model Effective Field Theory fitter
Language:Python6 3 261

juanrojochacon/ml-ditp-attp
Machine Learning: a New Toolbox for Theoretical Physics (Advanced Topics in Theoretical Physics course)
Language:Jupyter Notebook13 4 08
juanrojochacon/OxfordHH4b
Code for Oxford HH 4b feasibility study
Language:TeX3 11 02
juanrojochacon/PDFLattice2017
Latex source of the white paper from the PDFLattice2017 workshop in Oxford
Language:TeX2 6 00
juanrojochacon/PbPDF
Lead PDF determination
Language:TeX0 3 00