Trigger for the SoLid Reactor Antineutrino Experiment
SoLid, located at SCK-CEN in Mol, Belgium, is a reactor antineutrino experiment at a very short baseline of 5.5 -- 10m aiming at the search for sterile neutrinos and for high precision measurement of the neutrino energy spectrum of Uranium-235. It uses a novel approach using Lithium-6 sheets and PVT cubes as scintillators for tagging the Inverse Beta-Decay products (neutron and positron). Being located overground and close to the BR2 research reactor, the experiment faces a large amount of backgrounds. Efficient real-time background and noise rejection is essential in order to increase the signal-background ratio for precise oscillation measurement and decrease data production to a rate which can be handled by the online software. Therefore, a reliable distinction between the neutrons and background signals is crucial. This can be performed online with a dedicated firmware trigger. A peak counting algorithm and an algorithm measuring time over threshold have been identified as performing well both in terms of efficiency and fake rate, and have been implemented onto FPGA.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Development & Implementation of the Trigger for a Short-baseline Reactor Antineutrino Experiment (SoLid)
SoLid, located at SCK-CEN in Mol, Belgium, is a reactor antineutrino experiment at a very short baseline of 5.5 - 10m aiming at the search for sterile neutrinos and for high precision measurement of the neutrino energy s…
Interpretable machine learning approach for electron antineutrino selection in a large liquid scintillator detector
Several neutrino detectors, KamLAND, Daya Bay, Double Chooz, RENO, and the forthcoming large-scale JUNO, rely on liquid scintillator to detect reactor antineutrino interactions. In this context, inverse beta decay repres…
Interpretable Machine LearningArtificial neural network based modelling approach for municipal solid waste gasification in a fluidized bed reactor
In this paper, multi-layer feed forward neural networks are used to predict the lower heating value of gas (LHV), lower heating value of gasification products including tars and entrained char (LHVp) and syngas yield dur…
Model SelectionNutrients and biomass dynamics in photo-sequencing batch reactors treating wastewater with high nutrients loadings
The present study investigates different strategies for the treatment of a mixture of digestate from an anaerobic digester diluted and secondary effluent from a high rate algal pond. To this aim, the performance of two p…
Selection of cyanobacteria over green algae in a photo-sequencing batch bioreactor fed with wastewater
A strategy based on photo sequencing batch operation was used to select cyanobacteria over unsettled green algae in a wastewater treatment system, evaluating for the first time the effect of hydraulic regimes on nutritio…
Cultural Vocal Bursts Intensity Prediction