Proton--proton and proton--antiproton differential elastic cross sections  modeling at high and ultra-high energies using a hybrid computing paradigm

Elsayed ELDAHSHAN

Makale detayları

Proton--proton and proton--antiproton differential elastic cross sections modeling at high and ultra-high energies using a hybrid computing paradigm

Yazarlar:

Elsayed ELDAHSHAN

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Physics 2017 Vol.41 Issue 5, pp.426-435

Belge Tipi:

Makale

Yayın Tarihi:

9/2017

Belge Dili:

Türkçe

Document ID (Org No.):

2000759565

Sıklık:

İki Aylık

eISSN:

1303-6122

pISSN:

1300-0101

Özet:

 

This work presents a hybrid computing technique for modeling the differential elastic cross section of both proton--proton pp'' and proton--antiproton pp(bar)'' collisions from high to ultra-high energy regions (from 13.9 GeV to 14 TeV) as a function of the center-of-mass energy s'' squared and four momentum transfer squared t''. We proposed a genetic algorithm (GA) and support vector regression (SVR) hybrid techniques to calculate and predict the differential elastic cross section'' of both pp'' and pp(bar)''. Our proposed GA-SVR hybrid model shows a good match to the available experimental data, as well as predicting the latest and future TOTEM'' experiments for differential elastic cross sections that are not utilized in the training phase. An extrapolation of the differential cross section to |t|→|t|→\vert t\vert \to 0 gives the total cross section through the optical theorem. The model calculations and predictions for pp'' and pp(bar)'' total cross-sections over a wide collision energy ranging from ISR to LHC are given. All the results for the total cross-sections matched well with the last and the more recent measurements (√ss\sqrt{ s}= 7 TeV and 8 TeV), as well as the results of other models for the future TOTEM'' measurements at (√ss\sqrt{ s} = 10 TeV and 14 TeV).

Makale detayları

Proton--proton and proton--antiproton differential elastic cross sections modeling at high and ultra-high energies using a hybrid computing paradigm

Yazarlar: Elsayed ELDAHSHAN

Yayıncı: TUBITAK

Dergi: Turkish Journal of Physics 2017 Vol.41 Issue 5, pp.426-435

Belge Tipi: Makale

Yayın Tarihi: 9/2017

Belge Dili: Türkçe

Document ID (Org No.): 2000759565

Sıklık: İki Aylık

eISSN: 1303-6122

pISSN: 1300-0101

Sayı

Yazarlar:

Elsayed ELDAHSHAN

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Physics 2017 Vol.41 Issue 5, pp.426-435

Belge Tipi:

Makale

Yayın Tarihi:

9/2017

Belge Dili:

Türkçe

Document ID (Org No.):

2000759565

Sıklık:

İki Aylık

eISSN:

1303-6122

pISSN:

1300-0101