@article{oai:repo.qst.go.jp:00085637, author = {Matsuya, Yusuke and Tamon, Kusumoto and Yachi, Yoshie and Hirata, Yuho and Miwa, Misako and Ishikawa, Masayori and Date, Hiroyuki and Iwamoto, Yosuke and Matsuyama, Shigeo and Fukunaga, Hisanori and Tamon, Kusumoto}, journal = {AIP Advances}, month = {Feb}, note = {Accelerator-based neutron sources have been developed and installed in recent decades for boron neutron capture therapy (BNCT) in several clinical facilities. Lithium is one of the targets that can produce epithermal neutrons from the 7 Li(p,n)7 Be near-threshold reaction, and accelerator-based BNCT systems employing a Li target are promising for cancer treatment. The accurate evaluation of the characteristics of an accelerator-based neutron source is a key to estimating the therapeutic effects of the accelerator-based BNCT. Particle and Heavy Ion Transport code System (PHITS) is a general-purpose Monte Carlo code, which can simulate a variety of diverse particle types and nuclear reactions. The latest PHITS code enables simulating the generation of neutrons from the 7 Li(p,n)7 Be reactions by using the Japanese Evaluated Nuclear Data Library 4.0 high-energy file. Thus, the PHITS code can be adopted for dose estimation during treatment planning for the accelerator-based BNCT. In this study, we evaluated the neutron fluence using the PHITS code by comparing it to reference data. The subsequent neutron transport simulations were performed to evaluate the boron trifluoride detector responses and the recoiled proton fluence detected by a CR-39 plastic detector. These comparative studies confirmed that the PHITS code can accurately simulate neutrons generated from an accelerator using a Li target. The PHITS code has a significant potential for a detailed evaluation of neutron fields and for predicting the therapeutic effects of the accelerator-based BNCT.}, title = {Features of accelerator-based neutron source for boron neutron capture therapy calculated by Particle and Heavy Ion Transport code System (PHITS)}, volume = {12}, year = {2022} }