Bruno Zamorano

Associate Professor

Universidad de Granada

Spain

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Bruno Zamorano is an Associate Professor at Universidad de Granada, Spain. His research areas include photon/electron classification in liquid argon detectors, simulation of pixelated LArTPCs on GPUs, and the identification of low-energy electrons in neutrino detection systems. He has contributed significantly to advancements in neutrino spectral parameter fitting and machine learning applications in particle physics, as evidenced by his recent publications.

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2023

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2020

Collaborators (95)

Nuno Barros

Invited Assistant Professor

Faculdade de Ciências da Universidade de Lisboa

PORTUGAL

Bruno Zamorano

Research Interests

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Articles (18)

Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora

Impact of cross-section uncertainties on supernova neutrino spectral parameter fitting in the Deep Underground Neutrino Experiment

Highly-parallelized simulation of a pixelated LArTPC on a GPU

Identification and reconstruction of low-energy electrons in the ProtoDUNE-SP detector

Photon/electron classification in liquid argon detectors by means of Soft Computing

Separation of track- and shower-like energy deposits in ProtoDUNE-SP using a convolutional neural network

Scintillation light detection in the 6-m drift-length ProtoDUNE Dual Phase liquid argon TPC

Low exposure long-baseline neutrino oscillation sensitivity of the DUNE experiment

Design, construction and operation of the ProtoDUNE-SP Liquid Argon TPC

Cosmic Background Removal with Deep Neural Networks in SBND

Construction of precision wire readout planes for the Short-Baseline near Detector (SBND)

Long-baseline neutrino oscillation physics potential of the DUNE experiment: DUNE Collaboration

Deep Underground Neutrino Experiment (DUNE), Far Detector Technical Design Report, Volume I Introduction to DUNE

Deep Underground Neutrino Experiment (DUNE), Far Detector Technical Design Report, Volume III: DUNE Far Detector Technical Coordination

Deep Underground Neutrino Experiment (DUNE), Far Detector Technical Design Report, Volume IV: Far Detector Single-phase Technology

Neutrino interaction classification with a convolutional neural network in the DUNE far detector

First results on ProtoDUNE-SP liquid argon time projection chamber performance from a beam test at the CERN Neutrino Platform

Measurement of neutrino-induced neutral-current coherent $\pi^0$ production in the NOvA near detector

Collaborators (95)

Nuno Barros

Taritree Wongjirad

Robert Kralik

Gavin Davies

Benjamin Jones

Francesco Terranova

Edward Kearns

Dominic Bevan Brailsford

Stefan Soldner-Rembold

Enrique Fernandez-Martinez

Constantinos Andreopoulos

Veera Mikola

Andrew Furmanski

Alec Habig

Vitaly Kudryavtsev

Seodong Shin

Evgueni Goudzovski

Daniel Cherdack

Andrew Blake

Erdem Motuk

Shyam Bhuller

Camillo Mariani

Domenico Franco

Joshua Spitz

Raul Stein

Andrew Mastbaum

Antonio Di Domenico

Edouard BECHETOILLE

Christopher Hilgenberg

Jose W.F. Valle

Mayly Sanchez

Marco Roda

David Cussans

FELIX GARCIA CARBALLEIRA

Manuel Jesus Rodriguez Alonso

Patrick Green

Glenn Horton-Smith

Hanyu Wei

Clark McGrew

Denis PUGNERE

Peter Ratoff

Charles Lane

Konstantinos Mavrokoridis

Serhan Tufanli

Nicola McConkey

Kunal Kothekar

Juan Pedro Ochoa-Ricoux

ALYSIA MARINO

André Rubbia

Alexandre Sousa

Jaroslaw Nowak

Hajime Muramatsu

Michal Rigan

Christopher Grant

Laura Fields