CloudVeneto is a private cloud targeted to scientific communities based on OpenStack software. It was designed in 2013 and put in operation one year later, to support INFN projects, mainly HEP ones. ...Its resources are physically distributed among two sites: the Physics Department of University of Padova-INFN Padova Unit and the INFN Legnaro National Laboratories. During these 10 years CloudVeneto evolved to integrate also resources funded by ten Departments of the University of Padova, and to support several scientific disciplines of different domains. The use cases the communities have to face up often show a common pattern. This was an opportunity for us to develop and improve the services on our infrastructure to provide common solutions to different use cases. It happened for example with the Container as a Service (CaaS) that makes the management of Kubernetes clusters easier from a user point of view. Moreover, CloudVeneto joined the INFN national cloud infrastructure (INFN Cloud), making available some resources to this federated infrastructure. CloudVeneto is also involved in an R&D project to realize a distributed analysis facility for the CMS experiment based on the HTCondor batch system. In this paper we describe some use-cases of different projects pointing out the common patterns and the new implementations and configurations done in the infrastructure.
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IZUM, KILJ, NUK, PILJ, PNG, SAZU, UL, UM, UPUK
2.
Vertex and energy reconstruction in JUNO with machine learning methods Qian, Zhen; Belavin, Vladislav; Bokov, Vasily ...
Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment,
09/2021, Volume:
1010
Journal Article
Peer reviewed
Open access
The Jiangmen Underground Neutrino Observatory (JUNO) is an experiment designed to study neutrino oscillations. Determination of neutrino mass ordering and precise measurement of neutrino oscillation ...parameters sin2θ12, Δm212 and Δm312 are the main goals of the experiment. A rich physical program beyond the oscillation analysis is also foreseen. The ability to accurately reconstruct particle interaction events in JUNO is of great importance for the success of the experiment.
In this work we present several machine learning approaches applied to the vertex and the energy reconstruction. Multiple models and architectures were compared and studied, including Boosted Decision Trees (BDT), Deep Neural Networks (DNN), a few kinds of Convolution Neural Networks (CNN), based on ResNet and VGG, and a Graph Neural Network based on DeepSphere. The models of BDT and DNN are trained with aggregated information, pre-calculated from PMT signal, while the others are trained with PMT-wise measured information from 17600 PMTs.
Based on a study, carried out using the dataset, generated by the official JUNO software, we demonstrate that machine learning approaches achieve the necessary level of accuracy for reaching the physical goals of JUNO: σE=3% at Evis=1MeV for the energy and σx,y,z=10cm at Evis=1MeV for the position.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Neutrinoless double beta decay experiments Garfagnini, Alberto
International Journal of Modern Physics: Conference Series,
2014, Volume:
31
Journal Article, Conference Proceeding
Peer reviewed
Open access
Neutrinoles double beta decay is the only process known so far able to test the neutrino intrinsic nature: its experimental observation would imply that the lepton number is violated by two units and ...prove that neutrinos have a Majorana mass components, being their own anti-particle. While several experiments searching for such a rare decay have been performed in the past, a new generation of experiments using different isotopes and techniques have recently released their results or are raking data and will provide new limits, should no signal be observed, in the next few years to come. The present contribution reviews the latest public results on double beta decay searches and gives an overview on the expected sensitivities of the experiments in construction which will be able to set stronger limits in the near future.
Mass testing of the JUNO experiment 20-inch PMT readout electronics Coppi, Alberto; Jelmini, Beatrice; Bergnoli, Antonio ...
Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment,
July 2023, 2023-07-00, Volume:
1052
Journal Article
Peer reviewed
Open access
The Jiangmen Underground Neutrino Observatory (JUNO) is a multi-purpose, large size, liquid scintillator experiment under construction in China. JUNO will perform leading measurements detecting ...neutrinos from different sources (reactor, terrestrial and astrophysical neutrinos) covering a wide energy range (from 200keV to several GeV). This paper focuses on the design and development of a test protocol for the 20-inch PMT underwater readout electronics. The protocol has been employed for 10 months during the mass production and validation of all the electronics that will be installed in JUNO. A total number of 6950 electronic boards were tested with an acceptance yield of 99.1%.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
5.
Validation and integration tests of the JUNO 20-inch PMT readout electronics Cerrone, Vanessa; von Sturm, Katharina; Bergnoli, Antonio ...
Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment,
August 2023, 2023-08-00, Volume:
1053
Journal Article
Peer reviewed
Open access
The Jiangmen Underground Neutrino Observatory (JUNO) is a large neutrino detector currently under construction in China. JUNO aims to determine the neutrino mass ordering and to perform leading ...measurements detecting terrestrial and astrophysical neutrinos over a wide energy range, spanning from 200 keV to several GeV. Given the ambitious physics goals of JUNO, its readout electronics has to meet specific requirements, which motivated the thorough characterization described in this manuscript. The time synchronization among the electronics modules was found to exceed by few ns the theoretical expectation, as a consequence of the non-optimal data taking conditions. However, the system showed an excellent stability over long data taking periods, ensuring that any time offset could be calibrated out at the beginning of the data taking.
The maximal deviation from a linear charge response was found to be 1.1% for the high gain ADC and 0.8% for the low gain ADC. In a JUNO-like environment, i.e 40 m underwater, the recorded FPGA temperature complied with the reliability standards of JUNO.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
The Jiangmen Underground Neutrino Observatory (JUNO) is a large neutrino detector currently under construction in China. Thanks to the tight requirements on its optical and radio-purity properties, ...it will be able to perform leading measurements detecting terrestrial and astrophysical neutrinos in a wide energy range from tens of keV to hundreds of MeV. A key requirement for the success of the experiment is an unprecedented 3% energy resolution, guaranteed by its large active mass (20 ktons) and the use of more than 20,000 20-inch photo-multiplier tubes (PMTs) acquired by high-speed, high-resolution sampling electronics located very close to the PMTs. As the Front-End and Read-Out electronics is expected to continuously run underwater for 30 years, a reliable readout acquisition system capable of handling the timestamped data stream coming from the Large-PMTs and permitting to simultaneously monitor and operate remotely the inaccessible electronics had to be developed. In this contribution, the firmware and hardware implementation of the IPbus based readout protocol will be presented, together with the performances measured on final modules during the mass production of the electronics.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Abstract
The Jiangmen underground neutrino observatory (JUNO) is a
neutrino project with a 20-kton liquid scintillator detector located
700-m underground. The large 20-inch PMTs are one of the ...crucial
components of the JUNO experiment aiming for precision neutrino
measurements with better than 3% energy resolution at 1 MeV. The
excellent energy resolution and a large fiducial volume provide many
exciting opportunities for addressing important topics in neutrino
and astroparticle physics. With the container #D at JUNO Pan-Asia
PMT testing and potting station, the features of waterproof potted
20-inch PMTs were measured with JUNO 1F3 electronics prototype in
waveform and charge, which are valuable for a better understanding
of the performance of the waterproof potted PMTs and the JUNO 1F3
electronics. In this paper, the basic features of the JUNO 1F3
electronics prototype run at Pan-Asia will be introduced, followed
by an analysis of the waterproof potted 20-inch PMTs and a
comparison with the results from commercial electronics used by
container #A and #B.
Gravimetric methods are expected to play a decisive role in geophysical modeling of the regional crustal structure applied to geoneutrino studies. GIGJ (GOCE Inversion for Geoneutrinos at JUNO) is a ...3‐D numerical model constituted by ~46 × 103 voxels of 50 × 50 × 0.1 km, built by inverting GOCE (Gravity field and steady‐state Ocean Circulation Explorer) gravimetric data over the 6° × 4° area centered at the JUNO (Jiangmen Underground Neutrino Observatory) experiment, currently under construction in the Guangdong Province (China). The a priori modeling is based on the adoption of deep seismic sounding profiles, receiver functions, teleseismic P wave velocity models, and Moho depth maps, according to their own accuracy and spatial resolution. The inversion method allowed for integrating GOCE data with the a priori information and some regularization conditions through a Bayesian approach and a stochastic optimization. GIGJ fits the highly accurate and homogeneously distributed GOCE gravity data with a ~1 mGal standard deviation of the residuals, compatible with the observation accuracy. GIGJ provides a site‐specific subdivision of the crustal layers masses, of which uncertainties include estimation errors, associated to the gravimetric solution, and systematic uncertainties, related to the adoption of a fixed sedimentary layer. A consequence of this local rearrangement of the crustal layer thicknesses is a ~21% reduction and a ~24% increase of the middle and lower crust geoneutrino signal, respectively. The geophysical uncertainties of geoneutrino signals at JUNO produced by unitary uranium and thorium abundances distributed in the upper, middle, and lower crust are reduced by 77%, 55%, and 78%, respectively. The numerical model is available at this site (http://www.fe.infn.it/radioactivity/GIGJ).
Key Points
A gravity‐based 3‐D crustal model beneath the Guangdong province (China) was built to predict the geoneutrino signal at the JUNO experiment
The adopted Bayesian method allows for fitting gravimetric observations integrating local prior distribution with regularization conditions
GIGJ fitted GOCE gravity data with a ~1 mGal standard deviation of the residuals, compatible with the observation accuracy
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BFBNIB, FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SBCE, SBMB, UL, UM, UPUK
Neutrinoless double beta decay is the only process known so far able to test the neutrino intrinsic nature: its experimental observation would imply that the lepton number is violated by two units ...and prove that neutrinos have a Majorana mass components, being their own anti-particle. While several experiments searching for such a rare decay have been performed in the past, a new generation of experiments using different isotopes and techniques have recently released their results or are taking data and will provide new limits, should no signal be observed, in the next few years to come. The present contribution reviews the latest public results on double beta decay searches and gives an overview on the expected sensitivities of the experiments in construction which will be able to set stronger limits in the near future.
Broad Energy Germanium detectors (BEGe) offer an excellent discrimination power for pulse shape analysis of signals induced by interactions in the active volume of the detector. Such a feature makes ...them potential candidates for double beta decay experiments. In fact, analysis of time development of pulses allows to reject multi sites events (MSE) for which ionization takes place in more than one position, from single-site events (SSE) that release all the energy within a small volume. Double beta decay events, characterized by the interactions of the two electrons emitted, belong to the latter category of events, while MSE, mainly ¿-rays interactions, constitute the background that has to be rejected. BEGe are currently considered as potential candidates the Phase II of GERDA experiment, looking for 76 Ge double beta decay at the INFN Underground Gran Sasso National Laboratory (LNGS). Characterization of a commercial BEGe from Canberra is presented together with the results of the pulse shape analysis. Moreover, a full detector model (electric field and pulse generation), developed to understand the pulse shape discrimination power of the detector and validated with dedicated measurements, is presented and discussed.
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