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Related papers: A Note on Neutron Capture Correlation Signals, Bac…

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We present a general, discovery-grade framework for searching for weakly coupled new particles emitted in nuclear de-excitation following neutron capture. Rather than relying on isolated spectral features, the method exploits correlated…

Nuclear Experiment · Physics 2026-03-30 B. Meirose , D. Milstead

Electron captures on nuclei play an essential role for the dynamics of several astrophysical objects. The capture rate can be derived in perturbation theory where allowed nuclear transitions (Gamow-Teller transitions) dominate, except at…

Nuclear Theory · Physics 2021-07-07 Karlheinz Langanke , Gabriel Martínez-Pinedo , Remco Zegers

The Discriminative Correlation Filter (CF) uses a circulant convolution operation to provide several training samples for the design of a classifier that can distinguish the target from the background. The filter design may be interfered by…

Computer Vision and Pattern Recognition · Computer Science 2019-12-25 Fei Feng , Xiao-Jun Wu , Tianyang Xu , Josef Kittler , Xue-Feng Zhu

The detection, identification, and localization of illicit radiological and nuclear material continue to be key components of nuclear non-proliferation and nuclear security efforts around the world. Networks of radiation detectors deployed…

The T-REX neutron time-of-flight spectrometer at the European Spallation Source will use Multi-Grid Technology, which relies on thin B4C coatings on the Al blades of the grids to detect scattered thermal neutrons. Following a Monte Carlo…

Instrumentation and Detectors · Physics 2025-11-06 A. Backis , C. -C. Lai , M. Aouane , P. P. Deen , K. G. Fissum , J. R. M. Annand , K. Livingston , D. Raspino

Research reactors host a wide range of activities that make use of the intense neutron fluxes generated at these facilities. Recent interest in performing measurements with relatively low event rates, e.g. reactor antineutrino detection, at…

Correlation functions as they can be observed in heavy-ion collisions using the femtoscopy technique are a powerful tool to study the interaction among different baryons or mesons. Specifically, the multi-nucleon correlation functions have…

Nuclear Theory · Physics 2025-05-22 Matthias Göbel , Alejandro Kievsky

We discuss and briefly overview recent progress with studying fluctuations in scattering on a resonance state coupled to the background of many chaotic states. Such a problem arises naturally, e.g., when dealing with wave propagation in the…

Quantum Physics · Physics 2017-12-21 D. V. Savin

CRESST II is an experiment for direct WIMP search, using cryogenic detectors. The ratio of the two signals (temperature rise and scintillation light) measured for each interaction is an excellent parameter for discrimination of radioactive…

High Energy Physics - Experiment · Physics 2007-05-23 H. Wulandari , F. von Feilitzsch , M. Huber , Th. Jagemann , J. Jochum , T. Lachenmaier , J. -C. Lanfranchi , W. Potzel , W. Rau , M. Stark , S. Waller

Simulations of r-process nucleosynthesis require nuclear physics information for thousands of neutron-rich nuclear species from the line of stability to the neutron drip line. While arguably the most important pieces of nuclear data for the…

Nuclear Theory · Physics 2017-08-23 R. Surman , M. Mumpower , G. C. McLaughlin , R. Sinclair , W. R. Hix , K. L. Jones

To measure the main characteristics of radiative neutron decay, namely its relative intensity BR (branching ratio), it is necessary to measure the spectra of double coincidences between beta-electron and proton as well as the spectra of…

At the low temperature and high density conditions of a neutron star crust neutrons are degenerate. In this work, we study the effect of this degeneracy on the capture rates of neutrons on neutron rich nuclei in accreted crusts. We use a…

Nuclear Theory · Physics 2024-08-22 B. Knight , O. L. Caballero , H. Schatz

Neutron imaging is a non-destructive inspection technique with a wide range of applications. One of the important aspects concerning neutron imaging is achieving micrometer-scale spatial resolution. Developing a neutron detector with a high…

Existing computer vision and object detection methods strongly rely on neural networks and deep learning. This active research area is used for applications such as autonomous driving, aerial photography, protection, and monitoring.…

Computer Vision and Pattern Recognition · Computer Science 2022-12-01 Imran Khan Mirani , Chen Tianhua , Malak Abid Ali Khan , Syed Muhammad Aamir , Waseef Menhaj

The SIMPLE Collaboration has reported results from their superheated C2ClF5 droplet detectors, including a description of acoustic discrimination between \alpha decays and nuclear recoils. Our concern is that the events in the neutron…

Cosmology and Nongalactic Astrophysics · Physics 2012-06-29 C. E. Dahl , J. Hall , W. H. Lippincott

A theory of correlations between N photons of given frequencies and detected at given time delays is presented. These correlation functions are usually too cumbersome to be computed explicitly. We show that they are obtained exactly through…

Migdal effect is attracting interests because of the potential to enhance the sensitivities of direct dark matter searches to the low mass region. In spite of its great importance, the Migdal effect has not been experimentally observed yet.…

Instrumentation and Detectors · Physics 2020-09-15 Kiseki D. Nakamura , Kentaro Miuchi , Shingo Kazama , Yutaro Shoji , Masahiro Ibe , Wakutaka Nakano

The r-process involves neutron-rich nuclei far off stability for which no experimental cross sections are known. Therefore, one has to rely on theory which might be prone to considerable uncertainties far off stability. To investigate the…

Astrophysics · Physics 2007-05-23 T. Rauscher

The problem of joint data processing from ground-based gravitational and neutrino detectors is considered in order to increase the detection efficiency of collapsing objects in the Galaxy. The development of the "neutrino - gravitational…

General Relativity and Quantum Cosmology · Physics 2022-10-18 Svetlana Andrusenko , Yurii Gavriluk , Andrei Gusev , Daniil Krichevskiy , Sergei Oreshkin , Sergei Popov , Valentin Rudenko

Correlation matrices contain a wide variety of spatio-temporal information about a dynamical system. Predicting correlation matrices from partial time series information of a few nodes characterizes the spatio-temporal dynamics of the…

Machine Learning · Computer Science 2023-03-14 Nikhil Easaw , Woo Seok Lee , Prashant Singh Lohiya , Sarika Jalan , Priodyuti Pradhan