Asosiy kontentga oʻtish
AkademIndex

Mahsulotlar

Ishlab chiquvchilar uchun

AkademBaseEkotizim uchun ochiq API
Maqola

Loss of memory of target nucleus deformation axis in heavy-ion fusion-fission

D. J. HindeDepartment of Nuclear Physics, Research School of Physical Sciences and Engineering, Australian National University, Canberra ACT 0200, AustraliaWei PanDepartment of Nuclear Physics, Research School of Physical Sciences and Engineering, Australian National University, Canberra ACT 0200, AustraliaA. C. BerrimanDepartment of Nuclear Physics, Research School of Physical Sciences and Engineering, Australian National University, Canberra ACT 0200, AustraliaR. D. ButtDepartment of Nuclear Physics, Research School of Physical Sciences and Engineering, Australian National University, Canberra ACT 0200, AustraliaM. DasguptaDepartment of Nuclear Physics, Research School of Physical Sciences and Engineering, Australian National University, Canberra ACT 0200, AustraliaC. R. MortonDepartment of Nuclear Physics, Research School of Physical Sciences and Engineering, Australian National University, Canberra ACT 0200, AustraliaJ.O. NewtonDepartment of Nuclear Physics, Research School of Physical Sciences and Engineering, Australian National University, Canberra ACT 0200, Australia
2000en
ABI

Annotatsiya

Fission fragment cross sections and angular anisotropies have been measured to high accuracy following fusion of ${}^{16}\mathrm{O}$ with the strongly deformed nucleus ${}^{182}\mathrm{W},$ at bombarding energies spanning the fusion barrier region. Together with existing evaporation residue data, they show that at all the beam energies, the statistical transition state model adequately describes the fission properties measured. No significant evidence was found for a memory of the different configurations at fusion resulting from the target nucleus deformation, in contrast with previous measurements for deformed actinide nuclei.

Hali tarjima qilinmagan

Identifikatorlar

Iqtiboslar va manbalar

2 ta iqtibos0 ta foydalanilgan manba