The PHITS Tools Python package for parsing, organizing, and analyzing results from the PHITS radiation transport and DCHAIN activation codes

Ratliff, H. N., (2025). The PHITS Tools Python package for parsing, organizing, and analyzing results from the PHITS radiation transport and DCHAIN activation codes. Journal of Open Source Software, 10(113), 8311, https://doi.org/10.21105/joss.08311

Authors

Institutions

Publication Details

Journal
The Journal of Open Source Software
Published
2025-09-25
DOI
https://doi.org/10.21105/joss.08311
Primary Topic
Medical Imaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The PHITS Tools Python package for parsing, organizing, and analyzing results from the PHITS radiation transport and DCHAIN activation codes

Hunter N. Ratliff
The Journal of Open Source Software
Medical Imaging Techniques and Applications
article

The PHITS Tools Python package for parsing, organizing, and analyzing results from the PHITS radiation transport and DCHAIN activation codes

Hunter N. Ratliff
article en

Abstract

Ratliff, H. N., (2025). The PHITS Tools Python package for parsing, organizing, and analyzing results from the PHITS radiation transport and DCHAIN activation codes. Journal of Open Source Software, 10(113), 8311, https://doi.org/10.21105/joss.08311

The Journal of Open Source SoftwareVol. 10(113)
Western Norway University of Applied Sciences (NO)
European Commission, HORIZON EUROPE Framework Programme, HORIZON EUROPE European Innovation Council
Openalex Percentile: Top 61%
Medical Imaging Techniques and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.