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Related papers: Demonstration of Sub-micron UCN Position Resolutio…

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Position-sensitive detection of ultracold neutrons (UCNs) is demonstrated using an imaging charge-coupled device (CCD) camera. A spatial resolution less than 15 $\mu$m has been achieved, which is equivalent to an UCN energy resolution below…

Hypothetical short-range interactions could be detected by measuring the wavefunctions of ultracold neutrons (UCNs) on a mirror bounded by the Earth's gravitational field. The Searches require detectors with higher spatial resolution. We…

The study of the properties of the quantum states of bouncing neutrons requires position sensitive detection with micro-metric spatial resolution. The UCNBoX detector relies on Charge Coupled Devices (CCD) coated with a thin boron-10…

Instrumentation and Detectors · Physics 2022-07-27 B. Clément , L. Gesson , T. Jenke , V. V. Nesvizhevsky , G. Pignol , S. Roccia , J. -P. Scordillis

Ultracold neutrons (UCNs) are used in experiments investigating fundamental interactions, testing the Standard Model of particle physics and searching for phenomena beyond it. Knowledge of the energy spectrum of UCNs is very often a key…

Nuclear Experiment · Physics 2022-12-06 D. Rozpedzik , K. Bodek , K. Kirch , B. Lauss , K. Lojek , I. Rienaecker , P. Schmidt-Wellenburg , G. Zsigmond

A new boron-coated CCD camera is described for direct detection of ultracold neutrons (UCN) through the capture reactions $^{10}$B (n,$\alpha$0$\gamma$)$^7$Li (6%) and $^{10}$B(n,$\alpha$1$\gamma$)$^7$Li (94%). The experiments, which extend…

A new type of cold/ultracold neutron detector that can realize a spatial resolution of less than 100 nm was developed using nuclear emulsion. The detector consists of a fine-grained nuclear emulsion coating and a 50-nm thick $^{10}$B$_4$C…

Instrumentation and Detectors · Physics 2018-12-05 N. Naganawa , T. Ariga , S. Awano , M. Hino , K. Hirota , H. Kawahara , M. Kitaguchi , K. Mishima , H. M. Shimizu , S. Tada , S. Tasaki , A. Umemoto

Ultracold neutrons (UCN) have very low kinetic energies 0-300 neV, thereby can be stored in specific material or magnetic confinements for many hundreds of seconds. This makes them a very useful tool in probing fundamental symmetries of…

Instrumentation and Detectors · Physics 2018-03-14 G. Zsigmond

An experimental setup is proposed for the precise measurement of the quantum states of ultracold neutrons bound in the earth's gravitational field. The experiment utilizes a CCD-based pixel sensor and magnification system to observe the…

Instrumentation and Detectors · Physics 2009-01-06 T. Sanuki , S. Komamiya , S. Kawasaki , S. Sonoda

Position-sensitive detectors for cold and ultra-cold neutrons (UCN) are in use in fundamental research. In particular, measuring the properties of the quantum states of bouncing neutrons requires micro-metric spatial resolution. To this…

Instrumentation and Detectors · Physics 2017-11-16 O. Bourrion , B. Clement , D. Tourres , G. Pignol , Y. Xi , D. Rebreyend , V. V. Nesvizhevsky

We present the results of an Ultracold neutron (UCN) production experiment in a pulsed neutron beam line at the Los Alamos Neutron Scattering Center. The experimental apparatus allows for a comprehensive set of measurements of UCN…

Ultracold neutrons provide a unique tool for the study of neutron properties. An overview is given of the ultracold neutron (UCN) source at PSI, which produces the highest UCN intensities to fundamental physics experiments by exploiting the…

Nuclear Experiment · Physics 2021-06-08 Bernhard Lauss , Bertrand Blau

Ultracold neutrons (UCN) are free neutrons that can be stored in experimental setups for several minutes. Some of the most important properties of the neutron, such as its tiny permanent electric dipole moment and its beta decay lifetime,…

Nuclear Experiment · Physics 2020-06-09 Klaus Kirch , Bernhard Lauss

Accurate sensor placement is critical for modeling spatio-temporal systems such as environmental and climate processes. Neural Processes (NPs), particularly Convolutional Conditional Neural Processes (ConvCNPs), provide scalable…

Machine Learning · Computer Science 2025-12-01 Feyza Eksen , Stefan Oehmcke , Stefan Lüdtke

Efficient neutron transport is a key ingredient to the performance of ultracold neutron (UCN) sources, important to meeting the challenges placed by high precision fundamental physics experiments. At the Paul Scherrer Institute's UCN source…

Instrumentation and Detectors · Physics 2022-06-22 G. Bison , M. Daum , K. Kirch , B. Lauss , D. Ries , P. Schmidt-Wellenburg , G. Zsigmond

In this paper, we propose a robust and parsimonious approach using Deep Convolutional Neural Network (DCNN) to recognize and interpret interior space. DCNN has achieved incredible success in object and scene recognition. In this study we…

Computer Vision and Pattern Recognition · Computer Science 2016-10-11 Fan Zhang , Fabio Duarte , Ruixian Ma , Dimitrios Milioris , Hui Lin , Carlo Ratti

Human in-bed pose estimation has huge practical values in medical and healthcare applications yet still mainly relies on expensive pressure mapping (PM) solutions. In this paper, we introduce our novel physics inspired vision-based approach…

Computer Vision and Pattern Recognition · Computer Science 2019-09-23 Shuangjun Liu , Sarah Ostadabbas

While the international nEDM collaboration at the Paul Scherrer Institut (PSI) took data in 2017 that covered a considerable fraction of the parameter space of claimed potential signals of hypothetical neutron ($n$) to mirror-neutron ($n'$)…

On-orbit proximity operations in space rendezvous, docking and debris removal require precise and robust 6D pose estimation under a wide range of lighting conditions and against highly textured background, i.e., the Earth. This paper…

Computer Vision and Pattern Recognition · Computer Science 2019-08-30 Pedro F. Proenca , Yang Gao

Computing at the edge offers intriguing possibilities for the development of autonomy and artificial intelligence. The advancements in autonomous technologies and the resurgence of computer vision have led to a rise in demand for fast and…

Computer Vision and Pattern Recognition · Computer Science 2020-07-23 Martina Lofqvist , José Cano
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