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Related papers: SAGE : A Monte Carlo Simulation Framework for Expe…

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In this study, the germanium detector assembly, installed at the Accurate Neutron-Nuclear Reaction measurement Instruments (ANNRI) in the Material and Life Science Facility (MLF) operated by the Japan Proton Accelerator Research Complex…

First studies of event discrimination with a Broad-Energy Germanium (BEGe) detector are presented. A novel pulse shape method, exploiting the characteristic electrical field distribution inside BEGe detectors, allows to identify efficiently…

Nuclear Experiment · Physics 2009-12-14 Dušan Budjáš , Marik Barnabé Heider , Oleg Chkvorets , Nikita Khanbekov , Stefan Schönert

CLLBC(Ce) and TLYC(Ce) are novel scintillation materials capable of measuring mixed gamma ray and neutron radiation fields that have gained significant interest in the areas of space and nuclear safety/security science. To date Geant4, the…

Instrumentation and Detectors · Physics 2023-03-20 Jeremy M. C. Brown , Lachlan Chartier , David Boardman , John Barnes , Alison Flynn

The GERDA experiment searches for the neutrinoless double beta decay of Ge-76 using high-purity germanium detectors enriched in Ge-76. The analysis of the signal time structure provides a powerful tool to identify neutrinoless double beta…

Instrumentation and Detectors · Physics 2015-03-17 M. Agostini , C. A. Ur , D. Budjáš , E. Bellotti , R. Brugnera , C. M. Cattadori , A. di Vacri , A. Garfagnini , L. Pandola , S. Schönert

The sensitivity of experiments searching for neutrinoless double beta-decay of germanium was so far limited by the background induced by external gamma-radiation. Segmented germanium detectors can be used to identify photons and thus reduce…

Nuclear Experiment · Physics 2008-11-26 I. Abt , A. Caldwell , K. Kröninger , J. Liu , X. Liu , B. Majorovits

We present Semantic-Aware Guided Exploration, SAGE, a system for open-vocabulary exploration in unknown 3D indoor environments that preserves coverage-oriented behavior while allowing semantic cues to reprioritize frontier selection.…

Robotics · Computer Science 2026-05-25 Nitin Vegesna , Avideh Zakhor

This paper presents the simulation of the GLAST high energy gamma-ray telescope. The simulation package, written in C++, is based on the Geant4 toolkit, and it is integrated into a general framework used to process events. A detailed…

This paper presents a new C++ framework, DELPHES, performing a fast multipurpose detector response simulation. The simulation includes a tracking system, embedded into a magnetic field, calorimeters and a muon system, and possible very…

High Energy Physics - Phenomenology · Physics 2010-04-12 S. Ovyn , X. Rouby , V. Lemaitre

Germanium detectors have very good capabilities for the investigation of rare phenomena like the neutrinoless double beta decay. Rejection of the background entangling the expected signal is one primary goal in this kind of experiments.…

Nuclear Experiment · Physics 2008-11-26 H. Gómez , S. Cebrián , J. Morales , J. A. Villar

Geant4 is a Monte Carlo simulation framework for the description of interactions of particles and matter. Starting with version 8.2 a new package of QED physics processes is available, allowing for the studies of interactions of polarised…

Instrumentation and Detectors · Physics 2009-02-16 Andreas Schälicke , Karim Laihem , Pavel Starovoitov

Recent advances in generative networks have enabled new approaches to subsurface velocity model synthesis, offering a compelling alternative to traditional methods such as Full Waveform Inversion. However, these approaches predominantly…

Machine Learning · Computer Science 2026-04-02 Huseyin Tuna Erdinc , Ipsita Bhar , Rafael Orozco , Thales Souza , Felix J. Herrmann

Rare-event experiments such as LEGEND-1000 require high-purity germanium (HPGe) detectors with excellent energy resolution, low electronic noise, and scalable low-background packaging. The germanium ring-contact (GeRC) concept addresses…

Instrumentation and Detectors · Physics 2026-03-31 Kunming Dong , Shasika Panamaldeniya , Dongming Mei

We present GRACE, a simulation-native agent for autonomous experimental design in high-energy and nuclear physics. Given multimodal input in the form of a natural-language prompt or a published experimental paper, the agent extracts a…

High Energy Physics - Experiment · Physics 2026-02-18 Justin Hill , Hong Joo Ryoo

Geant4-based simulations of the energy deposited by electrons in various materials are quantitatively compared to high precision calorimetric measurements taken at Sandia Laboratories. The experimental data concern electron beams of energy…

Computational Physics · Physics 2015-06-16 Matej Batic , Gabriela Hoff , Maria Grazia Pia , Paolo Saracco , Georg Weidenspointner

As simulation system, the variety of physics processes implemented is one of the most important functionalities. In that sense, Geant4 is one of the most powerful simulation toolkits. Its flexibility and expansibility brought by…

Computational Physics · Physics 2007-05-23 K. Murakami , K. Amako , H. Hirayama , Y. Namito , T. Sasaki , M. Asai , T. Koi

MAGIX is a planned experiment that will be implemented at the upcoming accelerator MESA in Mainz. Due to its location in the energy-recovering lane of the accelerator beam-currents up to 1mA with a maximum energy of 105 MeV will be…

Low background gamma spectrometry employing HPGe detectors is a sensitive technique for measuring low-level radioactivity in environmental applications, material screening, and for rare decay searches. This work presents spectroscopic…

Instrumentation and Detectors · Physics 2023-08-24 Swati Thakur , Soni Devi , Sanjeet S. Kaintura , Katyayni Tiwari , Pushpendra P. Singh

A four-fold segmented n-type point-contact "Broad Energy" high-purity germanium detector, SegBEGe, has been characterised at the Max-Planck-Institut f\"ur Physik in Munich. The main characteristics of the detector are described and first…

Instrumentation and Detectors · Physics 2019-03-27 I. Abt , A. Caldwell , B. Donmez , C. Etrillard , C. Gooch , L. Hauertmann , M. O. Lampert , H. Liao , X. Liu , H. Ma , B. Majorovits , O. Schulz , M. Schuster

We present a new machine learning-based Monte Carlo event generator using generative adversarial networks (GANs) that can be trained with calibrated detector simulations to construct a vertex-level event generator free of theoretical…

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