Benchmarking of calculated projectile fragmentation cross-sections using the 3-D, MC codes PHITS, FLUKA, HETC-HEDS, MCNPX_HI, and NUCFRG2

Sihver, Lembit; Mancusi, Davide; Niita, Koji; Sato, Tatsuhiko; Townsend, L. W.; Farmer, Christian; Pinsky, L.; Ferrari, A.; Cerutti, F.; Gomes, I.C.

doi:10.1016/j.actaastro.2008.02.012

Cited by 39 publications

(23 citation statements)

References 48 publications

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“…The order of the results (PHITS smallest, LAQGSM largest) is predictable given the curves in Figure 14. Other comparisons between PHITS, LAQGSM, and data have pre-viously been reported, including measurements of neutron spectra [33], proton-induced reactions [34], fragmentation of 28 Si [35], and fragmentation of 12 C and 56 Fe [26]. (Note that results reported as being for the MC-NPX code use LAQGSM.)…”

Section: E Model Systematicsmentioning

confidence: 99%

Fragmentation ofN14,O16,
Zeitlin
¹
,
Guetersloh
²
,
Heilbronn
³

et al. 2011
Phys. Rev. C

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We report fragmentation cross sections measured at 0• for beams of 14 N, 16 O, 20 Ne, and 24 Mg ions, at energies ranging from 290 MeV/nucleon to 1000 MeV/nucleon. Beams were incident on targets of C, CH2, Al, Cu, Sn, and Pb, with the C and CH2 target data used to obtain hydrogentarget cross sections. Using methods established in earlier work, cross sections obtained with both large-acceptance and small-acceptance detectors are extracted from the data and when necessary corrected for acceptance effects. The large-acceptance data yield cross sections for fragments with charges approximately half of the beam charge and above, with minimal corrections. Cross sections for lighter fragments are obtained from small-acceptance spectra, with more significant, modeldependent corrections that account for the fragment angular distributions. Results for both chargechanging and fragment production cross sections are compared to the predictions of the Los Alamos version of the Quark Gluon String Model (LAQGSM) as well as the NUCFRG2 and PHITS models. For all beams and targets, cross sections for fragments as light as He are compared to the models. Estimates of multiplicity-weighted helium production cross sections are obtained from the data and compared to PHITS and LAQGSM predictions. Summary statistics show that the level of agreement between data and predictions is slightly better for PHITS than for either NUCFRG2 or LAQGSM.

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Section: E Model Systematicsmentioning

confidence: 99%

Fragmentation ofN14,O16,
Zeitlin
¹
,
Guetersloh
²
,
Heilbronn
³

et al. 2011
Phys. Rev. C

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“…Since each code has its own specific advantages and disadvantages, it is essential to use the best transport code for the purpose being defined, taking the respective advantages/disadvantages into account. Remarkable progress in the calculation of heavy ion reactions and transportation has been made during the last decade (see, for example, Sihver et al, 2007Sihver et al, , 2008aSihver et al, , b, 2009Sihver, 2008). In recent years, PHITS has received considerable attention due to its applications in heavy ion transport calculations.…”

Section: Introductionmentioning

confidence: 99%

“…These transport codes are continuously being improved, such as the development of new and better models for nuclear and electromagnetic interactions and the extension of the energy region for the nuclear data libraries, etc. A careful comparison of these codes is found in Sihver et al (2008a). Since each code has its own specific advantages and disadvantages, it is essential to use the best transport code for the purpose being defined, taking the respective advantages/disadvantages into account.…”

Section: Introductionmentioning

confidence: 99%

Neutron production in the lunar subsurface from alpha particles in galactic cosmic rays

et al. 2011

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The neutron production from alpha particles in galactic cosmic rays (GCR) in the lunar subsurface has not been estimated with reliable precision despite its importance for lunar nuclear spectroscopy and space dosimetry. Here, we report our estimation of neutron production from GCR nuclei (protons and alpha particles) with the Particle and Heavy Ion Transport code System (PHITS), which includes several heavy ion interaction models. PHITS simulations of the equilibrium neutron density profiles in the lunar subsurface are compared with experimental data obtained in the Apollo 17 Lunar Neutron Probe Experiment. Our calculations successfully reproduced the data within an experimental error of 15%. Our estimation of neutron production from GCR nuclei, estimated by scaling that from protons by a factor of 1.27, is in good agreement within an error of 1% with the calculations using two different alpha particle interaction models in PHITS during a period of average activity of the solar cycle. However, we show that the factor depends on the incident GCR spectrum model used in the simulation. Therefore, we conclude that the use of heavy ion interaction models is important for estimating neutron production in the lunar subsurface.

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“…JQMD is a QMD-type reaction model that can treat fragment formation by tracking the motion of nucleons explicitly. Fragment-production cross sections determined using JQMD were benchmarked against the cross sections measured in experiments [28,29].…”

Section: Introductionmentioning

confidence: 99%

Energy-dependent fragmentation cross sections of relativisticC12

et al. 2015

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The fragment production excitation functions of 12 C interacting with carbon nuclei were measured in the energy range of 100-400 MeV/u. To measure cross sections as excitation functions, fragments produced from a thick carbon target bombarded with a monoenergetic 12 C ion beam were detected by a telescope detector placed behind the target. By this measurement, eight isotopes-11 B, 10 B, 10 Be, 9 Be, 7 Be, 8 Li, 7 Li, and 6 Li-were identified, and the energy dependence of their production cross sections in the few 100 MeV/u range was obtained. Based on the measured cross sections, the JAERI quantum molecular dynamics model was updated to incorporate the mechanisms particularly important for peripheral collisions. The improved version of the model coupled with a statistical decay model reproduces the measured data typically within a few 10% of difference.

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Benchmarking of calculated projectile fragmentation cross-sections using the 3-D, MC codes PHITS, FLUKA, HETC-HEDS, MCNPX_HI, and NUCFRG2

Cited by 39 publications

References 48 publications

Fragmentation ofN14,O16,
Zeitlin
¹
,
Guetersloh
²
,
Heilbronn
³

et al. 2011
Phys. Rev. C

Fragmentation ofN14,O16,
Zeitlin
¹
,
Guetersloh
²
,
Heilbronn
³

et al. 2011
Phys. Rev. C

Neutron production in the lunar subsurface from alpha particles in galactic cosmic rays

Energy-dependent fragmentation cross sections of relativisticC12

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Benchmarking of calculated projectile fragmentation cross-sections using the 3-D, MC codes PHITS, FLUKA, HETC-HEDS, MCNPX_HI, and NUCFRG2

Cited by 39 publications

References 48 publications

Fragmentation ofN14,O16,Zeitlin1, Guetersloh2, Heilbronn3 et al. 2011Phys. Rev. C

Fragmentation ofN14,O16,Zeitlin1, Guetersloh2, Heilbronn3 et al. 2011Phys. Rev. C

Neutron production in the lunar subsurface from alpha particles in galactic cosmic rays

Energy-dependent fragmentation cross sections of relativisticC12

Contact Info

Product

Resources

About

Fragmentation ofN14,O16,
Zeitlin
¹
,
Guetersloh
²
,
Heilbronn
³

et al. 2011
Phys. Rev. C

Fragmentation ofN14,O16,
Zeitlin
¹
,
Guetersloh
²
,
Heilbronn
³

et al. 2011
Phys. Rev. C