Monte Carlo -menetelmät
http://www.yso.fi/onto/yso/p6361
Liittyvät julkaisut ja muut tuotokset
- Benchmark of a multi-physics Monte Carlo simulation of an ion guide for neutron-induced fission products (2022) Gao, Z.; et al.; A1; OA
- Codebase release 8.3 for PYTHIA (2022) Bierlich, Christian; et al.; I2; OA
- Diamagnetic susceptibility from a nonadiabatic path-integral simulation of few-electron systems (2022) Tolvanen, Alpi; et al.; A1; OA
- Efficient Bayesian generalized linear models with time-varying coefficients : The walker package in R (2022) Helske, Jouni; A1; OA
- Hierarchical log Gaussian Cox process for regeneration in uneven-aged forests (2022) Kuronen, Mikko; et al.; A1; OA
- Identifying territories using presence-only citizen science data : An application to the Finnish wolf population (2022) Karppinen, Santeri; et al.; A1; OA
- New Capabilities of the FLUKA Multi-Purpose Code (2022) Ahdida, C.; et al.; A1; OA
- Non-linear state-space methods for Bayesian time series modelling (2022) Karppinen, Santeri; G5; OA; 978-951-39-9226-2
- Proton Direct Ionization in Sub-Micron Technologies : Numerical Method for RPP Parameter Extraction (2022) Lüdeke, Sascha; et al.; A1; OA
- 0.1-10 MeV Neutron Soft Error Rate in Accelerator and Atmospheric Environments (2021) Cecchetto, Matteo; et al.; A1; OA