Results 121 to 130 of about 46,969 (209)

The Virtual Monte Carlo

, 2003
The concept of Virtual Monte Carlo (VMC) has been developed by the ALICE Software Project to allow different Monte Carlo simulation programs to run without changing the user code, such as the geometry definition, the detector response simulation or input
Adamova, D., Berejnoi, V., Brun, R., Caballero, I. Gonzalez, Carminati, F., Fasso, A., Futo, E., Gheata, A., Hrivnacova, I., Morsch, A.   +9 more
core   +2 more sources

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

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

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  

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

Optimizing Dual-layer Neutron Moderators for Accelerator-based Boron Neutron Capture Therapy: A Geant4 Simulation Study. [PDF]

J Med Phys
Vafapour H, Rafiepour P, Moradgholi J, Mortazavi SMJ.   +3 more
europepmc   +1 more source

Advancing Proton Therapy: A Review of Geant4 Simulation for Enhanced Planning and Optimization in Hadron Therapy. [PDF]

J Med Signals Sens
Etehadtavakol M, Shokrani P, Shanei A.
europepmc   +1 more source

Improving Brain Tumor Treatment through Nanotechnology and Proton Therapy Using Laser-driven Accelerators through GEANT4 Simulation. [PDF]

Indian J Nucl Med
Kavehnia M, Sadeghi H, Hosseinimotlagh SN.   +2 more
europepmc   +1 more source

Geant4 - A Simulation Toolkit [PDF]

, 2002
openaire   +1 more source