miguelignacio

Pinned Repositories

177-2023
Physics 177 Computational Physics. Spring 2023
0 2 00
AliDPG
ALICE DPG SW Repository
Language:C00
alignment
Language:C0 2 01
AliPhysics
ALICE Analysis Repository
Language:C++0 1 00
BackgroundFit
This code implements the reaction plane method proposed by C. Nattrass et al. in Phys. Rev. C 93, 044915.
Language:Python3 2 02
CentauroJetAlgorithm
Implementation of the Centauro jet algorithm (arXiv:2006.10751) using the FastJet contrib classes
Language:C++2 3 00
delphes_EIC
Language:Jupyter Notebook5 5 03
eg2_to_EIC
Language:Jupyter Notebook0 2 00
eg2dihadron
Language:Jupyter Notebook0 2 00
eicsim
Language:Jupyter Notebook00

miguelignacio's Repositories

miguelignacio/delphes_EIC
Language:Jupyter Notebook5 5 03
miguelignacio/BackgroundFit
This code implements the reaction plane method proposed by C. Nattrass et al. in Phys. Rev. C 93, 044915.
Language:Python3 2 02
miguelignacio/CentauroJetAlgorithm
Implementation of the Centauro jet algorithm (arXiv:2006.10751) using the FastJet contrib classes
Language:C++2 3 00
miguelignacio/177-2023
Physics 177 Computational Physics. Spring 2023
0 2 00
miguelignacio/AliDPG
ALICE DPG SW Repository
Language:C00
miguelignacio/alignment
Language:C0 2 01
miguelignacio/AliPhysics
ALICE Analysis Repository
Language:C++0 1 00
miguelignacio/calostudies
Language:Jupyter Notebook0 3 02
miguelignacio/CorrelationAnalysis
Language:Jupyter Notebook0 1 04
miguelignacio/eg2_to_EIC
Language:Jupyter Notebook0 2 00
miguelignacio/eg2dihadron
Language:Jupyter Notebook0 2 00
miguelignacio/eicsim
Language:Jupyter Notebook00
miguelignacio/clas12_omnifold
Language:Jupyter Notebook2 0
miguelignacio/disjets
Language:Jupyter Notebook2
miguelignacio/diskinematics
Language:C3 0
miguelignacio/G4QSim
Quick Simulation with Geant4
Language:C++1 0
miguelignacio/Generator
The popular GENIE Generator product is used by nearly all accelerator neutrino experiments and it plays a key role in the exploitation of neutrino data. The Generator implements a modern software framework and it includes state-of-the-art physics modules. It captures the latest results of the GENIE global analysis of neutrino scattering data and includes several tunes that were produced using the proprietary Comparisons and Tuning products. The GENIE physics model is universal and comprehensive: It handles all neutrinos and targets, and all processes relevant from MeV to PeV energy scales. The Generator includes several tools (flux drivers, detector geometry navigators, specialized event generation apps, event reweighting engines) to simulate complex experimental setups in full detail and to support generator-related analysis tasks.
Language:C++1 0
miguelignacio/HEP-ML-Resources
Listing of useful learning resources for machine learning applications in high energy physics (HEPML)
Language:TeX2 0
miguelignacio/HydjetAnalysis
Language:Python1 0
miguelignacio/inclusive
Language:C2 0
miguelignacio/inclusivedis
Language:Jupyter Notebook
miguelignacio/inputdata
miguelignacio/ITS_PowerBoardTesting
Language:Python1 0
miguelignacio/jetdis
Language:C
miguelignacio/MappingPhotonPion
Language:C1 0
miguelignacio/myrivet
Language:C++2 0
miguelignacio/ntuple-gj
ALICE ntuplizer for gamma-jet
Language:Objective-C1 0
miguelignacio/sidis_clas12
Language:C2 0
miguelignacio/unity
Language:Jupyter Notebook2 0
miguelignacio/zdcstudies
Language:Jupyter Notebook1 0