IK-Frag: Frag data generator for the PHITS simulation with the inverse kinematic reaction producing a focused neutron beam

Yu Fujiwara et al.

Software Impacts2026https://doi.org/10.1016/j.simpa.2026.100826article
AJG 1
Weight
0.50

What the paper says

IK-Frag has been developed for the creation of the nuclear cross-section data format, which is named frag data and can be used in PHITS, a Monte Carlo simulation code. IK-Frag focuses on the inverse kinematic reactions between a lithium or beryllium ion and a proton target. These reactions achieve naturally collimated neutrons and potentially reduce the necessity of radiation shielding. IK-Frag enables PHITS users to conduct simulations for the inverse kinematic reactions. The present software aims to contribute to future development of the neutron source system using the inverse kinematic reactions. • Inverse kinematic reactions are getting widely utilized in the development of neutron sources. • IK-Frag is a toolkit to generate Frag data for simulations of inverse kinematic reactions in PHITS. • All processes are executed using Python modules, enabling automation within a short time frame. • IK-Frag improves workflow reliability while preserving physical consistencies. • This work helps promote further applications of inverse kinematic reactions in nuclear science.

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.1016/j.simpa.2026.100826

Or copy a formatted citation

@article{yu2026,
  title        = {{IK-Frag: Frag data generator for the PHITS simulation with the inverse kinematic reaction producing a focused neutron beam}},
  author       = {Yu Fujiwara et al.},
  journal      = {Software Impacts},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1016/j.simpa.2026.100826},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

IK-Frag: Frag data generator for the PHITS simulation with the inverse kinematic reaction producing a focused neutron beam

Flags are reviewed by the Arbiter methodology team within 5 business days.


Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.