Litcius/Paper detail

Comparative analysis of charged particle distributions in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si138.svg" display="inline" id="d1e1656"><mml:mrow><mml:mi>p</mml:mi><mml:mi>p</mml:mi></mml:mrow></mml:math> collisions at <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si139.svg" display="inline" id="d1e1664"><mml:mrow><mml:msqrt><mml:mrow><mml:mi>s</mml:mi></mml:mrow></mml:msqrt><mml:mo linebreak="goodbreak" linebreakstyle="after">=</mml:mo><mml:mn>0</mml:mn><mml:mo>.</mml:mo><mml:mn>9</mml:mn><mml:mspace class="nbsp" width="1em"/><mml:mi mathvariant="normal">TeV</mml:mi></mml:mrow></mml:math> using Monte Carlo models and fitting functions

Haifa I. Alrebdi, M. Ajaz, M. Waqas, M. Ayaz Ahmad, Maryam Maryam, A.M. Quraishi, Jalal Hasan Baker, Shawn Jagnandan, Antalov Jagnandan

2024Chinese Journal of Physics13 citationsDOI

Topics & Concepts

PhysicsMonte Carlo methodStatistical physicsStatisticsMathematicsHigh-Energy Particle Collisions ResearchParticle physics theoretical and experimental studiesQuantum Chromodynamics and Particle Interactions
Comparative analysis of charged particle distributions in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si138.svg" display="inline" id="d1e1656"><mml:mrow><mml:mi>p</mml:mi><mml:mi>p</mml:mi></mml:mrow></mml:math> collisions at <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si139.svg" display="inline" id="d1e1664"><mml:mrow><mml:msqrt><mml:mrow><mml:mi>s</mml:mi></mml:mrow></mml:msqrt><mml:mo linebreak="goodbreak" linebreakstyle="after">=</mml:mo><mml:mn>0</mml:mn><mml:mo>.</mml:mo><mml:mn>9</mml:mn><mml:mspace class="nbsp" width="1em"/><mml:mi mathvariant="normal">TeV</mml:mi></mml:mrow></mml:math> using Monte Carlo models and fitting functions | Litcius