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@BOOK{Hendricks:645107,
author = {Hendricks, John S. and Swinhoe, Martyn T. and Favalli,
Andrea},
title = {{M}onte {C}arlo {N}-{P}article {S}imulations for {N}uclear
{D}etection and {S}afeguards: {A}n {E}xamples-{B}ased
{G}uide for {S}tudents and {P}ractitioners},
address = {Cham},
publisher = {Springer Nature},
reportid = {PUBDB-2026-00602},
isbn = {9783031041297},
pages = {1 Online-Ressource (XV, 307 pages)},
year = {2022},
abstract = {This open access book is a pedagogical, examples-based
guide to using the Monte Carlo N-Particle (MCNP®) code for
nuclear safeguards and non-proliferation applications. The
MCNP code, general-purpose software for particle transport
simulations, is widely used in the field of nuclear
safeguards and non-proliferation for numerous applications
including detector design and calibration, and the study of
scenarios such as measurement of fresh and spent fuel. This
book fills a gap in the existing MCNP software literature by
teaching MCNP software usage through detailed examples that
were selected based on both student feedback and the
real-world experience of the nuclear safeguards group at Los
Alamos National Laboratory. MCNP input and output files are
explained, and the technical details used in MCNP input file
preparation are linked to the MCNP code manual. Benefiting
from the authors’ decades of experience in MCNP
simulation, this book is essential reading for students,
academic researchers, and practitioners whose work in
nuclear physics or nuclear engineering is related to
non-proliferation or nuclear safeguards. Each chapter comes
with downloadable input files for the user to easily
reproduce the examples in the text},
typ = {PUB:(DE-HGF)3},
doi = {10.1007/978-3-031-04129-7},
url = {https://bib-pubdb1.desy.de/record/645107},
}