ftoralesacosta
Machine Learning for Fundamental Physics – Post Doc
Lawrence Berkeley National LabQueens, NY
Pinned Repositories
AI4EIC_Omnifold
CorrelationAnalysis
eJet_sPHENIX_NTupilizer
Electron+Jet Analysis in e+p collisions using sPHENIX svtx for central jets
Event_Mixing
Stable Matching algorithm alternative to K-nearest-neighbors
GraphNeuralNetwork_Regresson_EIC
The idea of this repo is to learn a regression model conditioned on detector properties. This can then be combined with a post-hoc optimizer. The followup to this will be the combination of a regression model and a generative model.
macros
Official macros to run sPHENIX coresoftware. Welcome to fork and to edit for your own studies.
omnifold
Implementing Ensembling for OmniFold Python package
OMNIFOLD_Tutorial
A tutorial for data deconvolution, using discriminators to estimate the maximum likelihood between 2 distributions
PointCloudDiffusion_ColliderData
Fast Point Cloud diffusion model for EIC hadronic calorimeter data.
SyntheticData_GNN_Regression
Generates synthetic data for the GNN Regression Repository. Scripted, containerized, and saved to parallelizable data format optimized for regression batch size.
ftoralesacosta's Repositories
ftoralesacosta/AI4EIC_Omnifold
ftoralesacosta/CorrelationAnalysis
ftoralesacosta/eJet_sPHENIX_NTupilizer
Electron+Jet Analysis in e+p collisions using sPHENIX svtx for central jets
ftoralesacosta/macros
Official macros to run sPHENIX coresoftware. Welcome to fork and to edit for your own studies.
ftoralesacosta/OMNIFOLD_Tutorial
A tutorial for data deconvolution, using discriminators to estimate the maximum likelihood between 2 distributions
ftoralesacosta/32-Key-Card-ergogen
Ergonomic keyboard layout generator
ftoralesacosta/alice_its_reconstruction
Scripts for reconstructing un-triggered cosmic ray in the ALICE ITS-3
ftoralesacosta/Event_Mixing
Stable Matching algorithm alternative to K-nearest-neighbors
ftoralesacosta/GraphNeuralNetwork_Regresson_EIC
The idea of this repo is to learn a regression model conditioned on detector properties. This can then be combined with a post-hoc optimizer. The followup to this will be the combination of a regression model and a generative model.
ftoralesacosta/ML_Tutorial_BDT_DNN
ftoralesacosta/omnifold
Implementing Ensembling for OmniFold Python package
ftoralesacosta/PointCloudDiffusion_ColliderData
Fast Point Cloud diffusion model for EIC hadronic calorimeter data.
ftoralesacosta/SyntheticData_GNN_Regression
Generates synthetic data for the GNN Regression Repository. Scripted, containerized, and saved to parallelizable data format optimized for regression batch size.
ftoralesacosta/zmk-config
ftoralesacosta/Calo4EIC
Plotting Changes to incorporate Fast Point Cloud Diffusion
ftoralesacosta/coresoftware
Our big core software repository
ftoralesacosta/eic_jet_studies
EIC Jets reconstructed with an All-Sillicon tracker designed at LBL. Uses the full simulation of the detector in Fun4All, using this repository's sister, e_Jet_Analysis.
ftoralesacosta/ftoralesacosta.github.io
ftoralesacosta/Fun4All_analysis
ftoralesacosta/g4lblvtx
ftoralesacosta/GH_Correlations
ftoralesacosta/h1_asymmetry
Azimuthal Lepton Jet Asymmetry Physics Analysis using ML for Unfolding
ftoralesacosta/Isolated-Gamma-Hadron-Analysis-Note
ftoralesacosta/lbnl_alice_alignment_tasks
ftoralesacosta/MLStatsForum
Webpage for the BIDS ML/Stats Forum
ftoralesacosta/photonCrossSection
ftoralesacosta/Pi-Hole-PiVPN-on-Google-Compute-Engine-Free-Tier-with-Full-Tunnel-and-Split-Tunnel-OpenVPN-Configs
Run your own privacy-first ad blocking service in the cloud for free on Google Cloud Services.
ftoralesacosta/point_cloud_diffusion
PyTorch Implementation of point cloud diffusion. Newly built, with progressive distillation
ftoralesacosta/Thesis
ftoralesacosta/tutorials
Our tutorials