Covariant Tensor Analysis Method for J/ψ→ppω

LIANG Wei-Hong; SHEN Peng-Nian; ZOU Bing-Song

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《中国物理C》（英文）编辑部

2024年10月30日

Chinese Physics C> 2002, Vol. 26> Issue(10) : 1009-1014

Covariant Tensor Analysis Method for J/ψ→ppω

Institute of High Energy Physics,CAS,Beijing 100039,China2 CCAST World Lab.,Beijing 100080,China3 Department of Physics,Guangxi Normal University,Guilin 541004.China

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Abstract：
In the framework of the relativistic covariant tensor formalism,the effective vertices for decay process J/ψ→pω with various intermediate N* states are studied carefully,and the corresponding amplitudes are derived. By performing Monte Carlo simulation,angular distributions pω(ω) invariant mass spectra and Dalitz plots for various partial waves in the J/ψ→pω process are obtained. It can be found that different partial waves give distinguishable distributions.

References

[1]

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LIANG Wei-Hong, SHEN Peng-Nian and ZOU Bing-Song. Covariant Tensor Analysis Method for J/ψ→ppω[J]. Chinese Physics C, 2002, 26(10): 1009-1014.

LIANG Wei-Hong, SHEN Peng-Nian and ZOU Bing-Song. Covariant Tensor Analysis Method for J/ψ→ppω[J]. Chinese Physics C, 2002, 26(10): 1009-1014. shu

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Received: 2002-01-22
Revised: 1900-01-01

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沈阳化工大学材料科学与工程学院沈阳 110142

Covariant Tensor Analysis Method for J/ψ→ppω

Corresponding author: LIANG Wei-Hong,

Institute of High Energy Physics,CAS,Beijing 100039,China2 CCAST World Lab.,Beijing 100080,China3 Department of Physics,Guangxi Normal University,Guilin 541004.China

Received Date: 2002-01-22
Accepted Date: 1900-01-01
Available Online: 2002-10-05

Abstract: In the framework of the relativistic covariant tensor formalism,the effective vertices for decay process J/ψ→pω with various intermediate N* states are studied carefully,and the corresponding amplitudes are derived. By performing Monte Carlo simulation,angular distributions pω(ω) invariant mass spectra and Dalitz plots for various partial waves in the J/ψ→pω process are obtained. It can be found that different partial waves give distinguishable distributions.