WRM for Neutrinos - INTRODUCTION Dorota Stefan and Robert Sulej

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Presentation transcript:

WRM for Neutrinos - INTRODUCTION Dorota Stefan and Robert Sulej

Dorota Stefan, Robert Sulej DUNE – Deep Underground Neutrino Experiment neutrino beam near detector 4 LArTPC detectors SURF G4 G4 TDR TDR 15m 15m 6 m 2 m 62m Simulated longitudinal and transverse containment for proton showers of 4 and 10 GeV/c momenta. Dorota Stefan, Robert Sulej

Dorota Stefan, Robert Sulej DUNE – physics goals Neutrinos: 1. CPV in leptonic sector. 2. n mass ordering. 3. Sterile neutrino. 4. Atmospheric neutrinos. 5. Neutrino astrophysics, including supernova n bursts. 6. Neutrino cross sections. Barion number violation. will interact somewhere in the detector (random location of primary interaction) ne CC n iteraction vertex electron LArSoft, Genie, G4, simulated neutrino interaction in DUNE far detector Dorota Stefan, Robert Sulej

Data handling becomes a challenge LArTPC events low energy deposition events DUNE, supernova ev. High granularity detector: 3/5 wire mm pitch Dense sampling: 0.6 mm 2/3/4 wire planes 20+ year operation with huge detector LArSoft LArSoft high energy deposition events DUNE, neCC drift time Data handling becomes a challenge Wire number Genie, G4, LArSoft Dorota Stefan, Robert Sulej

Dorota Stefan, Robert Sulej LArTPC events & region of interest low energy deposition events DUNE, supernova ev. X [cm] Y[cm] Selected regions used for the offline processing LArSoft LArSoft Z [cm] high energy deposition events DUNE, neCC drift time X [cm] Y[cm] Wire number Genie, G4, LArSoft Genie, G4, LArSoft Z [cm] Dorota Stefan, Robert Sulej

Dorota Stefan, Robert Sulej Challenges in finding region of interest Simple zero suppression based on 1D waveform analysis is very inefficient in LArTPC. Obviously need to look at 2D correletions Challenging due to: variety of (changing) noise patterns, number of different signal classes. ICARUS, D. Stefan NuFACT11 Conf Shower Cosmic muon Neutrino2016, Jonathan Davies for DUNE Collaboration Karl Warburton IOP HEPP&APP Conf. 35-ton 35-ton Dorota Stefan, Robert Sulej

Ali Abdallah, Roberto Cardarelli, Giulio Aielli, Marco Manca WRM For Neutrinos Ali Abdallah, Roberto Cardarelli, Giulio Aielli, Marco Manca

Sensors produces BIG DATA The problem Sensors produces BIG DATA A sensor is whatever is able to produce an observable encoding events in a given format Sensors produce data faster than we can process and store We need to interact with data to take decisions in real time We need to operate as close a possible to the sensor Physical World Sensor Data

Weighted Resistor Matrix - WRM The WRM is an analog computer performing a regression on input data and providing an estimation of the best fit parameters and the associated likelihood An interconnected repetitive resistive network subjected to an electrostatic potential provides the necessary elements for a regression-like computation: The diffusion potential as a notion of distance The superposition principle allows to add voltages to built a correlation estimator

Weighted Resistor Matrix - WRM From: R. Cardarelli et al.; “On a very fast topological trigger”; NIM A324(1993) A fast tracking trigger for LHC experiments The ratio RW/RS determines the voltage diffusion rate It is coupled to a parallel network Performing the sum to test patterns

WRM for EDUSAFE EDUSAFE [1] is a Marie Curie ITN project focusing on research into the use of Virtual and Augmented Reality (VR/AR) during planned and emergency maintenance in extreme environments. [1] EDUSAFE Website Expanding the WRM: from particle physics to computer vision -> It was born to detect linear correlations like particle tracks. Original WRM (1995) was able to process 1Mpixel in ~1ms. With new technologies, the speed increases accordingly The idea is to use the WRM with a tracking algorithm The WRM device can play a hardware acceleration role Feeds tracking algorithm with pre-extracted features. Allowing them to save valuable time.

WRM for Neutrinos: Particle Data Analysed as Images Collected data is similar to a normal grayscale image The idea is to use the WRM to filter out the noise Crop then region of interest New WRM layout is object of the present proposal, optimized for the neutrino trigger problem We want to obtain a fast trigger and optimal zero suppression system!