The 22nd International Workshop on Next Generation Nucleon Decay and Neutrino Detectors (NNN23) will be held in Procida, a small beautiful island near Naples (Italy) from October 11 to 13, 2023. The Workshop venue will be the Hotel La Torre.
NNN23 is co-hosted by INFN - Sezione di Napoli, University of Naples Federico II, the Department of Physics "E. Pancini" of the University of Naples Federico II, and Vanvitelli University.
Over the last 24 years, the NNN series of workshops has been providing the international community a forum for in-depth discussions on large-scale NNN detectors since its inaugural workshop in 1999 at Stony Brook (NY). The main physics topics of the workshop include: Searches for proton decay, CP violation in the lepton sector, determination of the neutrino mass hierarchy, and observation of neutrinos from core-collapse supernovae. Following the successful format of previous NNN workshops, NNN23 will have invited plenary talks giving a broad overview of the topics of the Workshop and selected contributed talks on more specific subjects. A poster session addressing on the topic of the workshop is planned (the format of the poster must be A0, oriented vertically). Graduate students and postdocs are strongly encouraged to attend the workshop.
Sponsored by
Invited Talk
Invited Talk
Invited talk
Invited talk
JUNO is a neutrino experiment aiming to detect antineutrinos emitted from nuclear reactors and from the inner layers of the Earth, as well as neutrinos from galactic and extragalactic sources. It comprises an active target mass made of 20 kton organic liquid scintillator, monitored by more than 40000 photosensors. JUNO aims to shed light on several open questions in fundamental particle physics and astrophysics. Among others, to determine the neutrino mass ordering with a confidence greater than 3 sigmas, to measure with sub-percent precision three of the neutrino oscillation parameters, to improve the current limits on the proton lifetime, to help addressing the solar metallicity problem, to detect the diffuse supernova neutrino background and to be ready to detect a core-collapse supernova neutrino burst, and to investigate several theories predicting physics beyond the Standard Model.
In this talk I will provide an overview of the status of the detector construction and of the ongoing commissioning activities. I will also report updated sensitivity estimates to the main JUNO Physics goals.
Invited talk
Invited talk
Invited talk
The ANTARES neutrino telescope was operational in the Mediterranean Sea from 2006 to 2022. The detector array, consisting of 12 lines with a total of 885 optical modules, was designed to detect high-energy neutrinos covering energies from a few tens of GeV up to the PeV range. Despite the relatively small size of the detector, the results obtained are relevant in the field of neutrino physics and astrophysics due to the good angular resolution of the telescope.
KM3NeT is a research infrastructure housing the next generation of Cherenkov neutrino telescopes. It consists of two detectors (ARCA and ORCA) currently under deployment in two locations in the Mediterranean Sea. Although both telescopes are based on the same detection technology, their key science goals are different: ARCA (located off-shore Sicily, Italy) aims at studying neutrinos with energies in the TeV–PeV range coming from distant astrophysical sources. ORCA (located off-shore Toulon, France) is optimized for neutrino physics studies at 1–100 GeV energies, providing information on their fundamental properties.
This presentation will give an overview of the legacy results of ANTARES and an overview on the KM3NeT infrastructure, the detector performances, the basic analysis techniques. We will also show, among others, the expected sensitivities for the complete detector configuration on the search for cosmic neutrino sources with ARCA, the sensitivity to the neutrino mass ordering and the measurement of the neutrino oscillation parameters with ORCA. In addition, by searching for an excess of coincidences above the optical background, KM3NeT can detect low energy neutrinos coming from Galactic Core-Collapse SuperNova. I discuss how the uniquely complex structure of the optical modules in the KM3NeT would allow this wide physics and astrophysics program.
The IceCube Neutrino Observatory, together with its DeepCore sub-array, detects large amounts of atmospheric neutrinos in the GeV to TeV energy range, enabling measurements of the muon-neutrino disappearance and tau-neutrino appearance channels of neutrino oscillations over a wide range of baselines up to 12000 km. In the energy range of DeepCore between 5 GeV and 150 GeV in particular, these measurements provide independent and complementary constraints in the atmospheric oscillation parameter space probed by long-baseline accelerator experiments. This talk presents the latest neutrino oscillation results from the IceCube Collaboration that include larger datasets, improved detector calibration and more sophisticated event reconstruction methods than previous atmospheric neutrino measurements. It also gives an outlook on future high-precision measurements that will be facilitated by the IceCube Upgrade, an additional infill array whose deployment is slated to begin during the 2025-2026 Antarctic summer season.
The hunt for neutrinos from Gamma-Ray Bursts (GRBs) could also be significant in quantum-gravity research, since they are ideal probes of the microscopic fabric of spacetime. One of the most studied candidate effects of quantum gravity is in-vacuo dispersion, an energy-dependent correction to the speed of ultrarelativistic particles, and in a recent studywe investigated the hypothesis that some neutrinos detected by the IceCube observatory might be GRB neutrinos, with their travel times affected by in-vacuo dispersion.
We adopted a statistical approach seeking to establish that at least some IceCube neutrinos are GRB neutrinos, finding that the presently available data, while insufficient for drawing any conclusions, are encouraging for in-vacuo dispersion.
Invited talk
Invited talk
Neutrinoless double-beta decay is a nuclear decay, given as (A,Z) --> (A,Z+2)+2e-, that violates total lepton number conservation by two units. Its observation would have deep consequences in the understanding of our Universe. It would prove that neutrinos have a Majorana component, it would help to understand the origin of the neutrino mass and constrain its absolute mass and help to understand the matter-antimatter asymmetry in the Universe. Due to this very reach scientific harvest, a strong experimental program is underway to search for this transition with many proposed experiments using different technologies.
In the talk the LEGEND experiment, which uses 76Ge as the isotope of interest, will be described. We will start describing its first stage, LEGEND-200, which is now taking data at the Laboratori Nazionali del Gran Sasso of INFN in Italy, and then the status of the future final step, LEGEND-1000.
The goal of LEGEND-200 is to reach a sensitivity in the half-life of the neutrinoless double-beta decay of 76Ge of about 10^27 yr in terms of both setting a 90% C.L. limit and achieving a 50% chance to make a 3 sigma discovery, thanks to a projected background index of 0.6 cts/(FWHMtyr) and an exposure of 1 tyr. LEGEND-1000 aims for a sensitivity of beyond 1028 yr by operating 1 tonne of enriched germanium detectors for an exposure of more than 10 tyr at a background index of about 0.025 cts/(FWHMtyr). Thanks to this sensitivity LEGEND-1000 will be able to explore the entire inverted mass ordering region
Neutrinoless double beta decay ($0\nu\beta\beta$) is a hypothetical nuclear process which, if observed, would have far-reaching implications in particle physics. Being a lepton number violating process, the observation of $0\nu\beta\beta$ is direct evidence for physics beyond the Standard Model. In addition, it would prove that neutrinos are Majorana particles, and contribute to the determination of the neutrino mass scale. nEXO is a proposed next-generation experiment that will search for $0\nu\beta\beta$ of $^{136}$Xe. nEXO plans to use a liquid xenon time projection chamber that employs 5 tonnes of xenon, isotopically enriched to 90% in $^{136}$Xe. Ionization electrons and scintillation photons will be detected by segmented anode tiles and silicon photomultipliers, respectively. These will enable event-by-event reconstruction of event energy, position, and topology which will be used in a multi-parameter analysis to search for $0\nu\beta\beta$ events. The projected sensitivity of nEXO to the $^{136}$Xe $0\nu\beta\beta$ half-life is 1.35\times10^{28}$ years after 10 years of data-taking. The nEXO project is being developed by a collaboration of 34 institutions from 9 countries. In this talk, an overview of nEXO will be presented followed by a description of the conceptual design and an update of the R&D status.
Neutrinoless double-beta decay (0νββ) is a key process to address some of the major outstanding issues in particle physics, such as the lepton number conservation and the Majorana nature of the neutrino. Several efforts have taken place in the last decades in order to reach higher and higher sensitivity on its half-life. The next-generation of experiments aims at covering the Inverted-Ordering region of the neutrino mass spectrum, with sensitivities on the half-lives greater than 1E27 years. Among the exploited techniques, low-temperature calorimetry has proved to be a very promising one, and will keep its leading role in the future thanks to the CUPID experiment. CUPID (CUORE Upgrade with Particle IDentification) will search for the neutrinoless double-beta decay of 100Mo and will exploit the existing cryogenic infrastructure as well as the gained experience of CUORE, at the Laboratori Nazionali del Gran Sasso in Italy. Thanks to 1596 scintillating Li2MoO4 crystals, enriched in 100Mo, coupled to 1710 light detectors CUPID will have simultaneous readout of heat and light that will allow for particle identification, and thus a powerful alpha background rejection. Numerous studies and R&D projects are currently ongoing in a coordinated effort aimed at finalizing the design of the CUPID detector and at assessing its performance and physics reach.
In our talk, we will present the current status of CUPID and outline the forthcoming steps towards the construction of the experiment.
Invited talk
MicroBooNE is an 85-tonne active volume liquid-argon time projection chamber located in the Booster Neutrino Beam and NuMI beam at Fermilab. It was operational from 2015 to 2020 and collected the largest neutrino-argon interaction dataset to date. The primary goals of MicroBooNE are to understand the low-energy excess observed by MiniBooNE, make precise measurements of neutrino interactions on argon, and search for beyond-the-Standard-Model physics. In this talk, I will present some of the latest results from MicroBooNE, with an emphasis on neutrino-argon cross-section measurements.
Monitored neutrino beams represent a powerful and cost effective tool to suppress cross section related systematics for the full exploitation of data collected in long baseline oscillation projects like DUNE and Hyper-Kamiokande. In the last years the NP06/ENUBET project has demonstrated that the systematic uncertainties on the neutrino flux can be suppressed to 1% in an accelerator based facility where charged leptons produced in kaon and pion decays are monitored in an instrumented decay tunnel. In this talk, we will present the final results of this successful R&D programme. The collaboration is now working to provide the full implementation of such a facility at CERN in order to perform high precision cross section measurements at the GeV scale exploiting the ProtoDUNEs as neutrino detectors. This contribution will present the final design of the ENUBET beamline that allows to collect $\sim$10$^4$ $\nu_e$ and $\sim$6$\times$10$^6$ $\nu_\mu$ charged current interactions on a 500 ton LAr detector in about 2 years of data taking. The experimental setup for high purity identification of charged leptons in the tunnel instrumentation will be described together with the framework for the assessment of the final systematics budget on the neutrino fluxes, that employs an extended likelihood fit of a model where the hadro-production, beamline geometry and detector-related uncertainties are parametrized by nuisance parameters. We will also present the results of a test beam exposure at CERN-PS of the Demonstrator: a fully instrumented 1.65 m long section of the ENUBET instrumented decay tunnel. Finally the physics potential of the ENUBET beam with ProtoDUNE-SP and plans for its implementation in the CERN North Area will be discussed.
Future neutrino oscillation experiments demand a precise estimation of neutrino flux. The leading flux uncertainty comes from inadequate understanding of primary and secondary hadron-nucleus interactions. The NA61/SHINE experiment at CERN's Super Proton Synchrotron measures various hadron production processes with the goal of reducing the flux uncertainty of current and future accelerator-based neutrino beams. This contribution will present NA61/SHINE’s recent hadron production measurements, current data-taking, and future plans for the neutrino physics program.
Invited talk
The Exa.TrkX Graph Neural Network (GNN) for reconstruction of liquid argon time projection chamber (LArTPC) data is a message-passing attention network over a heterogeneous graph structure, with separate subgraphs of 2D nodes (hits in each plane) connected across planes via 3D nodes (space points). The model provides a consistent description of the neutrino interaction across all planes.
The GNN initially performed a semantic segmentation task, classifying detector hits according to the particle type that produced them. Performance results will be presented based on publicly available samples from MicroBooNE. These include both physics performance metrics, achieving ~95% accuracy when integrated over all particle classes, and computational metrics for training and for inference on CPU or GPU.
We will also present recent work extending the network application to additional LArTPC reconstruction tasks, such as cosmic background and noise filtering, interaction vertex position identification, and particle instance segmentation. Early results indicate that the network achieves excellent filtering performance without increasing the network size, thus demonstrating that the set of learned features are somewhat general and relevant for multiple tasks.
Prospects for the integration of the network inference in the data processing chains of LArTPC experiments will also be presented.
The current and next-generation liquid argon time projection chamber (LArTPC) detectors offer a great opportunity to search for rare, beyond-Standard Model (BSM) physics such as baryon number violation. During operation, these detectors generate high-resolution images of particle interactions, making them well-suited for applying and leveraging deep learning techniques to search for rare signals within their data. This talk will discuss ongoing research and development (R&D) aimed at developing data-driven data selection for LArTPC detectors—a major challenge particularly for large-scale detectors such as the future Deep Underground Neutrino Experiment due to its exorbitant data rate—with the objective of developing real-time data selection schemes as well as offline data analysis for rare signals with very high accuracy and computational performance. As part of the latter, the talk will focus on recent results from a deep learning-based analysis of MicroBooNE data, making use of a sparse convolutional neural network (CNN) and event topology information to search for argon-bound neutron-antineutron transition-like signals, which demonstrates the capability of LArTPCs in achieving high signal efficiency and strong background rejection when leveraging advances in image analysis techniques.
Invited talk