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At least 55 records · Page 3

Publisher Erratum: CUPID, the Cuore upgrade with particle identification

Publisher Erratum: Eur. Phys. J. C (2025) 85:737 https://doi.org/10.1140/epjc/s10052-025-14352-1 The author M. Pavan (affiliations 9 and 10) was missing from the published author list. The online version of the article has been updated to include the author. Additionally, affiliations 4 and 17 have been corrected to reflect the proper institutional order. The publisher apologizes for the inconvenience caused.

Alfonso, K. [Virginia Polytechnic Institute and St↗

Development of a Focusing DIRC Detector for Particle Identification

We have constructed a prototype Direct Ring Imaging $\check{C}$erenkov (DIRC) detector in our optics lab to study its performance for identifying pions and kaons. This type of detector will be used for the Belle II experiment now under construction at the KEK laboratory in Japan. To test our prototype, we have constructed a cosmic ray telescope (CRT) that is able to trigger on and reconstruct cosmic ray tracks. We require that the tracks traverse the DIRC detector and study the resulting detector response.

46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND ↗

Magnetic Field Tolerant Large Area Picosecond Photon Detectors for Particle Identification (Phase I Final Report)

Incom is reporting on success in its DOE SBIR Phase I feasibility demonstration of our ability to optimize and characterize the magnetic field insensitivity of Large Area Picosecond Photon Detectors (LAPPDs) which we manufacture, this was accomplished principally by decreasing MCP pore sizes. LAPPDs are cost-effective ultra-high time precision imaging quantum photodetectors that incorporate Incom’s unique large-area ALD- (Atomic Layer Deposition) GCA- (Glass Capillary Array) MCPs (Microchannel Plates). Several applications of LAPPDs, including for potential upgrades to existing DoE NP detectors or as part of proposed designs for future DoE NP experiments (including at the future EIC Electron Ion Collider) will require LAPPD operation in strong magnetic fields. We are improving and verifying the performance of LAPPDs in strong magnetic fields both by modifying their internal construction and most importantly by modifying their constituents by using smaller-pore MCPs; we and others have shown that this improves magnetic field insensitivity in MCP-PMTs like our LAPPD. We have begun a series of magnetic field tests at Argonne National Laboratory on 6 x 6cm MCP-PMTs constructed at ANL using Incom MCPs, and on 20 x 20cm LAPPDs constructed at Incom again using Incom MCPs, each in a series of devices containing MCPs of ever smaller pore diameters, from 20μ to 10μ to 5μ; in addition to improving magnetic field insensitivity, smaller pores will improve LAPPD timing and thus benefit physics performance in future DoE NP detectors, including at the EIC.

73 NUCLEAR PHYSICS AND RADIATION PHYSICS↗

A silicon surface barrier telescope for solar particles identification

From the results three conclusions can be made: (1) the detector system described and tested is capable of good charge resolution from He to Al although beyond Ne the statistic is very poor; (2) in the high gain mode, isotopic resolution has been achieved for Li-6/Li-7 Be-7/Be-9; (3) the much higher yield of He over He and of Be-9 over Be-10 in these types of nuclear reactions prevents obtaining experimental evidence of those isotopes, although it is believed that, at least He-3/He-4 can be resolved under other more favorable conditions (i.e., solar He-3-rich events).

Sequeiros, J.↗

Particle Identification in the ACCESS Mission

ACCESS (Assembly Concept for Construction of Erectable Space Structures) is a planned Space Station mission to measure the elemental energy spectra of Galactic cosmic rays at energies above 100 GeV/nuc. ACCESS consists of a transition radiation detector (TRD) mounted on top of an ionization calorimeter (IC). A silicon matrix detector placed on top of the IC determines the elemental identity of each cosmic ray measured by the IC. The silicon matrix must be designed to identify each cosmic ray in the presence of backscatter from the calorimeter. Because the TRD is mounted above the IC, the matrix must also recognize cosmic rays that have interacted within the TRD before reaching the IC. We will report the results of detailed GEANT simulations of the silicon matrix in ACCESS. Results will be presented on backscatter interference with charge identification and the ability of the matrix to recognize cosmic rays that interacted in the TRD.

Wang, J. Z.↗

Archive of AGR-5/6/7 Particle Radiographs for Identification of Particles with Defective IPyC

As a part of fuel quality control characterization, 2D radiographs of large numbers of particles produced by the Advanced Gas Reactor Fuel Development and Qualification (AGR) Program’s AGR-5/6/7 irradiation were acquired. These radiographs were used for the identification of particles with excessive uranium dispersion from the kernel into the surrounding buffer layer caused by chlorine infiltration through a defective inner pyrolytic carbon (IPyC) layer during silicon carbide (SiC) deposition. Additional features of interest associated with fabrication anomalies were also catalogued. Raw radiography images, along with the noted defective IPyC defects found by analysis at Oak Ridge National Laboratory are reported herein.

11 NUCLEAR FUEL CYCLE AND FUEL MATERIALS↗

Context-Enriched Identification of Particles with a Convolutional Network for Neutrino Events

Particle detectors record the interactions of subatomic particles and their passage through matter. The identification of these particles is necessary for in-depth physics analysis. While particles can be identified by their individual behavior as they travel through matter, the full context of the interaction in which they are produced can aid the classification task substantially. We have developed the first convolutional neural network for particle identification which uses context information. This is also the first implementation of a four-tower siamese-type architecture both for separation of independent inputs and inclusion of context information. The network classifies clusters of energy deposits from the NOvA neutrino detectors as electrons, muons, photons, pions, and protons with an overall efficiency and purity of 83.3% and 83.5%, respectively. We show that providing the network with context information improves performance by comparing our results with a network trained without context information.

46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND ↗