Abstract Active galactic nuclei (AGN) are promising candidate sources of high-energy astrophysical neutrinos, since they provide environments rich in matter and photon targets where cosmic-ray interactions may lead to the production of gamma rays and neutrinos. We searched for high-energy neutrino emission from AGN using the Swift-BAT Spectroscopic Survey catalog of hard X-ray sources and 12 yr of IceCube muon track data. First, upon performing a stacked search, no significant emission was found. Second, we searched for neutrinos from a list of 43 candidate sources and found an excess from the direction of two sources, the Seyfert galaxies NGC 1068 and NGC 4151. We observed NGC 1068 at flux = TeV−1cm−2s−1normalized at 1 TeV, with a power-law spectral indexγ= 3.10 , consistent with previous IceCube results. The observation of a neutrino excess from the direction of NGC 4151 is at a posttrial significance of 2.9σ. If interpreted as an astrophysical signal, the excess observed from NGC 4151 corresponds to a flux = TeV−1cm−2s−1normalized at 1 TeV andγ= 2.83 .
more »
« less
Machine learning-powered data cleaning for LEGEND: a semi-supervised approach using affinity propagation and support vector machines
Abstract Neutrinoless double-beta decay ( ) is a rare nuclear process that, if observed, will provide insight into the nature of neutrinos and help explain the matter-antimatter asymmetry in the Universe. The large enriched germanium experiment for neutrinoless double-beta decay (LEGEND) will operate in two phases to search for . The first (second) stage will employ 200 (1000) kg of High-Purity Germanium (HPGe) enriched in76Ge to achieve a half-life sensitivity of 1027(1028) years. In this study, we present a semi-supervised data-driven approach to remove non-physical events captured by HPGe detectors powered by a novel artificial intelligence model. We utilize affinity propagation to cluster waveform signals based on their shape and a support vector machine to classify them into different categories. We train, optimize, and test our model on data taken from a natural abundance HPGe detector installed in the Full Chain Test experimental stand at the University of North Carolina at Chapel Hill. We demonstrate that our model yields a maximum sacrifice of physics events of after data cleaning. Our model is being used to accelerate data cleaning development for LEGEND-200 and will serve to improve data cleaning procedures for LEGEND-1000.
more »
« less
- Award ID(s):
- 1812374
- PAR ID:
- 10610890
- Publisher / Repository:
- IOP Publishing
- Date Published:
- Journal Name:
- Machine Learning: Science and Technology
- Volume:
- 6
- Issue:
- 1
- ISSN:
- 2632-2153
- Page Range / eLocation ID:
- 015064
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
More Like this
-
-
Abstract A measurement of off-shell Higgs boson production in the decay channel is presented. The measurement uses 140 fb−1of proton–proton collisions at TeV collected by the ATLAS detector at the Large Hadron Collider and supersedes the previous result in this decay channel using the same dataset. The data analysis is performed using a neural simulation-based inference method, which builds per-event likelihood ratios using neural networks. The observed (expected) off-shell Higgs boson production signal strength in the decay channel at 68% CL is ( ). The evidence for off-shell Higgs boson production using the decay channel has an observed (expected) significance of 2.5σ(1.3σ). The expected result represents a significant improvement relative to that of the previous analysis of the same dataset, which obtained an expected significance of 0.5σ. When combined with the most recent ATLAS measurement in the decay channel, the evidence for off-shell Higgs boson production has an observed (expected) significance of 3.7σ(2.4σ). The off-shell measurements are combined with the measurement of on-shell Higgs boson production to obtain constraints on the Higgs boson total width. The observed (expected) value of the Higgs boson width at 68% CL is ( ) MeV.more » « less
-
The LEGEND Collaboration is searching for neutrinoless double-beta ( ) decay by operating high-purity germanium detectors enriched in in a low-background liquid argon environment. Building on key technological innovations from the GERmanium Detector Array (GERDA) experiment and the MAJORANA DEMONSTRATOR experiment, LEGEND-200 has performed a first decay search based on 61.0 kg yr of data. Over half of this exposure comes from our highest performing detectors, including newly developed inverted-coaxial detectors, and is characterized by an estimated background level of in the decay signal region. A combined analysis of data from GERDA, the MAJORANA DEMONSTRATOR, and LEGEND-200, characterized by a 90% confidence level exclusion sensitivity of on the half-life of decay, reveals no evidence for a signal and sets a new observed lower limit at (90% confidence level). Assuming the decay is mediated by Majorana neutrinos, this corresponds to an upper limit on the effective Majorana mass in the range , depending on the adopted nuclear matrix element.more » « less
-
Abstract A search for resonances in top quark pair ( ) production in final states with two charged leptons and multiple jets is presented, based on proton–proton collision data collected by the CMS experiment at the CERN LHC at , corresponding to 138 fb−1. The analysis explores the invariant mass of the system and two angular observables that provide direct access to the correlation of top quark and antiquark spins. A significant excess of events is observed near the kinematic threshold compared to the non-resonant production predicted by fixed-order perturbative quantum chromodynamics (pQCD). The observed enhancement is consistent with the production of a color-singlet pseudoscalar ( ) quasi-bound toponium state, as predicted by non-relativistic quantum chromodynamics. Using a simplified model for toponium, the cross section of the excess above the pQCD prediction is measured to be .more » « less
-
Abstract The circumgalactic medium (CGM) is poorly constrained at the subparsec scales relevant to turbulent energy dissipation and regulation of multiphase structure. Fast radio bursts are sensitive to small-scale plasma density fluctuations, which can induce multipath propagation (scattering). The amount of scattering depends on the density fluctuation spectrum, including its amplitude , spectral indexβ, and dissipation scaleli. We use quasar observations of CGM turbulence at ≳pc scales to infer , finding it to be m−20/3for hot (T> 106K) gas and m−20/3for cool (104≲T≲ 105K) gas, depending on the gas sound speed and density. These values of are much smaller than those inferred in the interstellar medium at similar physical scales. The resulting scattering delays from the hot CGM are negligible (≪1μs at 1 GHz), but they are more detectable from the cool gas as either radio pulse broadening or scintillation, depending on the observing frequency and sightline geometry. Joint quasar-FRB observations of individual galaxies can yield lower limits onli, even if the CGM is not a significant scattering site. An initial comparison between quasar and FRB observations (albeit for different systems) suggestsli≳ 750 km in ∼104K gas in order for the quasar and FRB constraints to be consistent. If a foreground CGM is completely ruled out as a source of scattering along an FRB sightline, thenlimay be comparable to the smallest cloud sizes (≲pc) inferred from photoionization modeling of quasar absorption lines.more » « less
An official website of the United States government

