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NSR database version of April 27, 2024.

Search: Author = C.Y.Qiao

Found 13 matches.

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2023MA48      Phys.Rev. C 108, 044606 (2023)

C.-W.Ma, X.-X.Chen, X.-B.Wei, D.Peng, H.-L.Wei, Y.-T.Wang, J.Pu, K.-X.Cheng, Y.-F.Guo, C.-Y.Qiao

Systematic behavior of fragments in Bayesian neural network models for projectile fragmentation reactions

doi: 10.1103/PhysRevC.108.044606
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2022MA45      Phys.Rev. C 106, 064316 (2022)

L.Ma, H.B.Yang, Z.Y.Zhang, J.C.Pei, M.H.Huang, M.M.Zhang, C.Y.Qiao, X.J.Bao, Y.L.Tian, C.L.Yang, Y.S.Wang, Z.Zhao, X.Y.Huang, S.Y.Xu, W.X.Huang, Z.Liu, X.H.Zhou, Z.G.Gan

Attempts to produce new americium isotopes near N=126

NUCLEAR REACTIONS ^191,193Ir(⁴⁰Ar, xn)²³¹Am^*/²³³Am^*, E=190-204 MeV; measured reaction products, Eα, (recoils)α-α-α correlated events, using SHANS gas-filled recoil separator, 16 position-sensitive Si-strip detectors (PSSDs) for evaporation residues, and eight side silicon detectors (SSDs) for α particles at the HRIFL-Lanzhou facility. ^226,227,228Am; no evidence found for the detection of these nuclides, with upper limits of cross sections determined for the production of the compound nuclei of ²³¹Am and ²³³Am; discussed nonobservation of new americium isotopes in terms of reduced survival probabilities of compound nuclei ²³¹Am and ²³³Am due to their low fission barriers at high excitations.

NUCLEAR STRUCTURE ^{226,227,228,229}Am; calculated excitation functions for the production of these nuclides in ^191,193Ir(⁴⁰Ar, xn) using the statistical model code HIVAP. ^{230,231,232,233,234,235,236}Am; evaluated shell correction energies and fission barriers from FRDM2012, KTUY2005, and WS2010. ²²⁶U, ²²⁷Np, ^231,233Am; calculated fission barrier heights as functions of excitation energy and quadrupole deformation parameter β₂ using microscopic finite-temperature Skyrme Hartree-Fock+BCS theory.

doi: 10.1103/PhysRevC.106.034316
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Data from this article have been entered in the XUNDL database. For more information, click here.

2022QI04      Phys.Rev. C 106, 014608 (2022)

C.Y.Qiao, J.C.Pei

Modeling survival probabilities of superheavy nuclei at high excitation energies

NUCLEAR STRUCTURE ²¹⁰Po; calculated fission widths of compound nuclei depending on the excitation energy, first-chance survival probability. ^{254,256,258,260}No, ^{288,290,292,290}Fl, ^{294,296,298,300}Og, ^{298,300,302,304}120; calculated first-chance survival probabilities and decay width of the compound nuclei depending on the excitation energy, curvatures around the equilibrium point, fission barrier heights and the barrier saddle point as a function of excitation energy. Skyrme-Hartree-Fock+BCS at finite temperatures. Survival probabilities derived using Bohr-Wheeler statistical model. Comparison to available experimental data.

doi: 10.1103/PhysRevC.106.014608
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2022WA26      Phys.Rev. C 106, L021304 (2022)

Z.A.Wang, J.C.Pei, Y.J.Chen, C.Y.Qiao, F.R.Xu, Z.G.Ge, N.C.Shu

Bayesian approach to heterogeneous data fusion of imperfect fission yields for augmented evaluations

NUCLEAR REACTIONS ²³⁸U(n, F), E<20 MeV; analyzed experimental data; calculated cumulative fission yields of ⁹⁹Mo, ¹³⁵Xe, ¹⁴⁰Ba, ¹⁴⁷Nd fragments, independent fission yields. Bayesian neural networks (BNNs) algorithm for machine learning.

doi: 10.1103/PhysRevC.106.L021304
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2021QI04      Phys.Rev. C 103, 034621 (2021)

C.Y.Qiao, J.C.Pei, Z.A.Wang, Y.Qiang, Y.J.Chen, N.C.Shu, Z.G.Ge

Bayesian evaluation of charge yields of fission fragments of ²³⁹U

NUCLEAR REACTIONS ^232,233Th, ²³⁹Pu(n, F), E=14 MeV; ²³⁹Pu, ²⁴⁴Cm(n, F), E=0.5 MeV; ²⁵⁵Fm(n, F), E=0.025 eV; analyzed one-layer and two-layer Bayesian neural network (BNN) learning results of charge yields taken from JENDL. ²³⁵U(n, F), E=0.025 eV and 0.5, 14 MeV; predicted BNN fission charge yields. ²³⁸U(n, F)²³⁹U^*, E=0.5 MeV; calculated and evaluated BNN fission charge yields. Double-layered Bayesian neural network (BNN) to learn and predict charge yields of fission fragments; deduced better performance of double-layer network better than that of the single-layer network with same number of neurons. Comparison with experimental data.

doi: 10.1103/PhysRevC.103.034621
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2017ZH18      Phys.Rev. C 95, 041602 (2017)

Y.Zhang, J.Tian, W.Cheng, F.Guan, Y.Huang, H.Li, L.Lu, R.Wang, Y.Wang, Q.Wu, H.Yi, Z.Zhang, Y.Zhao, L.Duan, R.J.Hu, M.Huang, G.Jin, S.Jin, C.G.Lu, J.Ma, P.Ma, J.Wang, H.Yang, Y.Yang, J.Zhang, Ya.Zhang, Y.Zhang, C.Ma, C.Y.Qiao, M.B.Tsang, Z.Xiao

Long-time drift of the isospin degree of freedom in heavy ion collisions

NUCLEAR REACTIONS Au(⁴⁰Ar, X), E=30 MeV/nucleon; measured light-charged particles (LCP), α-spectra, coincident fission fragments, (LCP)(fission fragments)-coin using parallel plate avalanche counters (PPAC) and nine ΔE telescopes at RIBLL-Lanzhou facility; deduced inclusive isotopic ratio for Z=1 and 2 isotopes as a function of laboratory angle, angular distribution of the relative neutron richness summed over the LCPs, drift of the isospin degree of freedom (IDOF). Comparison with ImQMD+GEMINI simulations.

doi: 10.1103/PhysRevC.95.041602
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2016MA15      J.Phys.(London) G43, 045102 (2016)

C.-W.Ma, Y.-D.Song, C.-Y.Qiao, S.-S.Wang, H.-L.Wei, Y.-G.Ma, X.-G.Cao

A scaling phenomenon in the difference of Shannon information uncertainty of fragments in heavy-ion collisions

NUCLEAR REACTIONS ⁹Be(⁴⁰Ca, X), (⁴⁸Ca, X), (⁵⁸Ni, X), (⁶⁴Ni, X), E=140 MeV/nucleon; analyzed available data using Shannon's information-entropy uncertainty; calculated scaling phenomenon in the manner of canonical ensemble theory. Antisymmetric molecular dynamics (AMD) and AMD + GEMINI models.

doi: 10.1088/0954-3899/43/4/045102
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2016MA51      Phys.Rev. C 94, 024615 (2016)

C.-W.Ma, F.Niu, C.-Y.Qiao, Y.-F.Niu, T.-Z.Yan

Pairing energy of fragments produced in intermediate-energy heavy-ion collisions

NUCLEAR REACTIONS ⁹Be, ¹⁸¹Ta(⁴⁰Ca, X), (⁴⁸Ca, X), (⁵⁸Ni, X), (⁶⁴Ni, X), E=140 MeV/nucleon; analyzed experimental data for isobaric yield ratios to obtain ratio of the pairing-energy coefficient for fragments to the temperature. AMD+GEMINI models in the framework of modified Fisher model (MFM).

doi: 10.1103/PhysRevC.94.024615
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2015MA04      Phys.Rev. C 91, 014615 (2015)

C.-W.Ma, Y.-L.Zhang, C.-Y.Qiao, S.-S.Wang

Target effects in isobaric yield ratio differences between projectile fragmentation reactions

NUCLEAR REACTIONS ⁹Be, ¹⁸¹Ta(⁴⁰Ca, X), (⁴⁸Ca, X), (⁵⁸Ni, X), (⁶⁴Ni, X), E=140 MeV/nucleon; analyzed experimental data to investigate target effects on the isobaric yield ratios (IYR) and isobaric yield ratio differences (IBD) in different reactions. Proposed as a probe to study the difference between the neutron and proton densities of the reaction systems.

doi: 10.1103/PhysRevC.91.014615
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2015MA40      Chin.Phys.Lett. 32, 072501 (2015)

C.-W.Ma, Y.-L.Zhang, S.-S.Wang, C.-Y.Qiao

A Model Comparison Study of Fragment Production in 140 A MeV ^{58, 64}Ni+⁹Be Reactions

NUCLEAR REACTIONS ⁹Be(⁵⁸Ni, X), (⁶⁴Ni, X), E=140 MeV/nucleon; calculated σ for fragments production using the AMD and AMD+GEMINI models. Comparison with available data.

doi: 10.1088/0256-307X/32/7/072501
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2015MA64      Phys.Rev. C 92, 064601 (2015)

C.-W.Ma, T.-T.Ding, C.-Y.Qiao, X.-G.Cao

Improved thermometer for intermediate-mass fragments in heavy-ion collisions with isobaric yield ratio difference

NUCLEAR REACTIONS ⁹Be, ¹⁸¹Ta(⁴⁰Ca, X), (⁴⁸Ca, X), (⁵⁸Ni, X), (⁶⁴Ni, X), E=140 MeV/nucleon; Pb(¹²⁴Xe, X), (¹³⁶Xe, X), E=1 GeV/nucleon; ^112,124Sn(¹¹²Sn, X), (¹²⁴Sn, X), E=1 GeV/nucleon; analyzed experimental isobaric yield ratios (IYR) for intermediate mass fragments (IMFs) using residual binding energies; deduced improved isobaric ratio thermometer (T_IB) for IMFs in heavy-ion collisions.

doi: 10.1103/PhysRevC.92.064601
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2015QI06      Phys.Rev. C 92, 014612 (2015)

C.Y.Qiao, H.L.Wei, C.W.Ma, Y.L.Zhang, S.S.Wang

Isobaric yield ratio difference between the 140 A MeV ⁵⁸Ni + ⁹Be and ⁶⁴Ni + ⁹Be reactions studied by the antisymmetric molecular dynamics model

NUCLEAR REACTIONS ^58,64Ni(⁹Be, X), E=140 MeV/nucleon; calculated cross-sectional distributions of fragments, and isobaric yield ratios (IYRs) for large-A, N-Z=0-3 fragments. Isobaric yield ratio difference (IBD) method. Antisymmetric molecular dynamics (AMD) model plus the sequential decay model GEMINI. Comparison with experimental data, and with other theoretical calculations.

doi: 10.1103/PhysRevC.92.014612
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2013MA56      Phys.Rev. C 88, 014609 (2013)

C.-W.Ma, X.-L.Zhao, J.Pu, S.-S.Wang, C.-Y.Qiao, X.Feng, R.Wada, Y.-G.Ma

Temperature determined by isobaric yield ratios in a grand-canonical ensemble theory

doi: 10.1103/PhysRevC.88.014609
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