Results 91 to 100 of about 2,973 (184)

Sslg4: A Novel Scintillator Simulation Library for Geant4

Computer Physics Communications
This study introduces a new Scintillator Simulation Library called SSLG4 for the Geant4 Monte Carlo simulation package. With SSLG4, we aim to enhance efficiency and accelerate progress in optical simulations within the Geant4 framework by simplifying scintillator handling and providing a rich repository of scintillators.
Mustafa Kandemir, Emrah Tiras, Burcu Kirezli, İbrahim Koca   +3 more
openaire   +3 more sources

Opticks: GPU Optical Photon Simulation via NVIDIA OptiX [PDF]

EPJ Web of Conferences
Opticks is an open source project that accelerates optical photon simulation by integrating GPU ray tracing, accessed via the NVIDIA OptiX 7+ API, with Geant4 based simulations.
Blyth Simon C.
doaj   +1 more source

GEANT4 Simulation for Radioactive Particle Tracking (RPT) Technique. [PDF]

Sensors (Basel), 2022
Alghamdi AA, Aljuwaya TM, Alomari AS, Al-Dahhan MH.   +3 more
europepmc   +1 more source

Geant4 Simulation of Gamma-Ray Transmission Buildup Factors for Human Tissues. [PDF]

Dose Response, 2022
Alfuraih AA, Kadri OM.
europepmc   +1 more source

ABSTRACTS

Precision Radiation Oncology, EarlyView.
wiley   +1 more source

Validation of GEANT4 simulation for active materials interrogation using nuclear resonance fluorescence

Journal of Radiation Research and Applied Sciences
This study validates the GEANT4 simulation toolkit's effectiveness in modeling Nuclear Resonance Fluorescence (NRF) for Non-Destructive Assay (NDA) applications, focusing on isotopes 11B and 238U, which exhibit distinct NRF characteristics.
Hani Negm, Hideaki Ohgaki
doaj   +1 more source

LHAASO-KM2A detector simulation using Geant4

Radiation Detection Technology and Methods
KM2A is one of the main sub-arrays of LHAASO, working on gamma ray astronomy and cosmic ray physics at energies above 10 TeV. Detector simulation is the important foundation for estimating detector performance and data analysis. It is a big challenge to simulate the KM2A detector in the framework of Geant4 due to the need to track numerous photons from
Cao, Z., Aharonian, F. ; https://orcid.org/0000-0003-1157-3915, Axikegu, Y. X., B., Bao, Y., Bastieri, D., Bi, X., Bi, Y., Bian, W., Bukevich, A., Cao, Q., Cao, W., Cao, Z., Chang, J., Chang, J., Chen, A., Chen, E., Chen, H., Chen, L., Chen, L., Chen, L., Chen, M., Chen, M., Chen, Q., Chen, S., Chen, S., Chen, S., Chen, T., Chen, Y., Cheng, N., Cheng, Y., Cui, M., Cui, S., Cui, X., Cui, Y., Dai, B., Dai, H., Dai, Z., Danzengluobu, X. Q., D., Duan, K., Fan, J., Fan, Y., Fang, J., Fang, J., Fang, K., Feng, C., Feng, H., Feng, L., Feng, S., Feng, X., Feng, Y., Feng, Y., Gabici, S., Gao, B., Gao, C., Gao, Q., Gao, W., Gao, W., Ge, M., Geng, L., Giacinti, G., Gong, G., Gou, Q., Gu, M., Guo, F., Guo, X., Guo, Y., Guo, Y., Han, Y., Hasan, M., He, H., He, H., He, J., He, Y., Hor, Y., Hou, B., Hou, C., Hou, X., Hu, H., Hu, Q., Hu, S., Huang, D., Huang, T., Huang, W., Huang, X., Huang, X., Huang, Y., Ji, X., Jia, H., Jia, K., Jiang, K., Jiang, X., Jiang, Z., Jin, M., Kang, M., Karpikov, I., Kuleshov, D., Kurinov, K., Li, B., Li, C., Li, C., Li, C., Li, D., Li, F., Li, H., Li, H., Li, J., Li, J., Li, K., Li, S., Li, W., Li, W., Li, X., Li, X., Li, Y., Li, Z., Li, Z., Liang, E., Liang, Y., Lin, S., Liu, B., Liu, C., Liu, D., Liu, D., Liu, H., Liu, H., Liu, J., Liu, J., Liu, M., Liu, R., Liu, S., Liu, W., Liu, Y., Liu, Y., Luo, Q., Luo, Y., Lv, H., Ma, B., Ma, L., Ma, X., Mao, J., Min, Z., Mitthumsiri, W., Mu, H., Nan, Y., Neronov, A., Ou, L., Pattarakijwanich, P., Pei, Z., Qi, J., Qi, M., Qiao, B., Qin, J., Raza, A., Ruffolo, D., Sáiz, A., Saeed, M., Semikoz, D., Shao, L., Shchegolev, O., Sheng, X., Shu, F., Song, H., Stenkin, Y., Stepanov, V., Su, Y., Sun, D., Sun, Q., Sun, X., Sun, Z., Takata, J., Tam, P., Tang, Q., Tang, R., Tang, Z., Tian, W., Wang, C., Wang, C., Wang, G., Wang, H., Wang, H., Wang, J., Wang, K., Wang, K., Wang, L., Wang, L., Wang, P., Wang, R., Wang, W., Wang, X., Wang, X., Wang, Y., Wang, Y., Wang, Y., Wang, Z., Wang, Z., Wang, Z., Wang, Z., Wei, D., Yang, F., Yao, Y., Zhao, J.   +202 more
openaire   +4 more sources

Comparative analysis of the scanner rSPECT sensitivity: using GAMOS: a newGeant4-based framework

Nucleus, 2012
The molecular imaging of in vivo cellular processes using preclinical animal studies and SPECT technique is one of the main reasons for the design of new devices with high spatial resolution.
Rosana Martínez Turtós, Angelina Díaz García, Yamiel Abreu Alfonso   +2 more
doaj  

Investigating ultra-high dose rate water radiolysis using the Geant4-DNA toolkit and a Geant4 model of the Oriatron eRT6 electron linac

Scientific Reports
Ultra-high dose rate FLASH radiotherapy, a promising cancer treatment approach, offers the potential to reduce healthy tissue damage during radiotherapy.
Flore Chappuis, Hoang Ngoc Tran, Patrik Gonçalves Jorge, Sara A. Zein, Ioanna Kyriakou, Dimitris Emfietzoglou, Claude Bailat, François Bochud, Sébastien Incerti, Laurent Desorgher   +9 more
doaj   +1 more source

Generative models for fast simulation of Cherenkov detectors at the electron–ion collider

Machine Learning: Science and Technology
The integration of deep learning (DL) into experimental nuclear and particle physics has driven significant progress in simulation and reconstruction workflows.
J Giroux, M Martinez, C Fanelli
doaj   +1 more source