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academic_codes

Codes developed during the academic period

anomaly_detection

cern-atlas-qualify

The ringer algorithm has been successfully implemented and deployed in the HLT fast step, improving early rejection of fake electrons and saving CPU time downstream in the HLT precision step. For this qualification task, the ringer algorithm training needs to be updated towards Run-3 conditions, in particular to cope with increased pileup. The training of the ringer selection will also consider boosted topologies to avoid reducing the efficiency of close by electrons as much as possible. Progress will be documented and discussed in TrigEgamma meetings, Jira tickets and MRs.

disco

Metodologia de distância que relaciona duas variáveis não lineares aleatórias

epl-krls-t2fsm

learning

A repository with my tests and learning scripts

smogn

Synthetic Minority Over-Sampling Technique for Regression

soda_disco

Implementação do Disco no Algoritmo SODA

soda_python