INVESTIGADORES
ANDRADA MarÍa BelÉn
congresos y reuniones científicas
Título:
Data quality observables for the Underground Muon Detector of AMIGA
Autor/es:
NICOLÁS GONZÁLEZ; FEDERICO SÁNCHEZ; BRIAN WUNDHEILER; ALEJANDRO ALMELA; MARÍA BELÉN ANDRADA; ANA MARTINA BOTTI; ANGEL CANCIO; ALBERTO ETCHEGOYEN; LUCIANO FERREYRO; JUAN MANUEL FIGUEIRA; ALAN FUSTER; BEATRIZ GARCÍA; MATÍAS ROLF HAMPEL; EWA HOLT; JOHANNES HULSMAN; MARIELA JOSEBACHUILI; AGUSTÍN LUCERO; DIEGO MELO; SARAH MÜLLER; MATIAS PERLIN; MANUEL PLATINO; DIEGO RAVIGNANI; MATÍAS RONCORONI; CHRISTIAN SARMIENTO-CANO; DAVID SCHMIDT; MARINA SCORNAVACCHE; GAIA SILLI; ÁLVARO TABOADA
Reunión:
Otro; Pierre Auger Collaboration internal note; 2018
Resumen:
The Underground Muon Detector of the AugerPrime enhancement will be composed by 61 stations associated with the water-Cherenkov detectors from the SD-750. The characteristics of each station will follow an improved design of the engineering array ofthe AMIGA Muon Detector. The stations will be composed by three modules of 64 buried plastic scintillation bars whose light yield will be measured by a channel of an optic system. Therefore, more than 104 channels would need to be monitored in order to assess performance issues. In this work, we define a set of observables based on digital traces and capable of spotting individual channels which do not follow the average behaviour. These suspicious channels may be removed from high-level physics analyses beforehand. We employed recent data to develop a procedure to diagnose channels and assess high-quality data. Using the period between October1,2017 and June30,2018 as a test bench, we report 30(7) faulty channels out of the 1664(768) available silicon photomultiplier(photomultiplier tubes) channels. In addition, we employed the same observables to define bad periods of data adquisition.