Wiki source code of Lin Chen

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1 === Phenomenology in High-Energy Physics ===
2 ==== Supervisor: Lin Chen ([[email>>mailto:lin.chen@usc.es||target="_blank"]], [[inspirehep>>https://inspirehep.net/authors/1477331]])
3 ====
4
5 **Introduction:**
6
7 Phenomenology in high-energy physics serves as a critical interface between theory and experiment.
8
9 While theoretical models—particularly those based on Quantum Chromodynamics (QCD)—allow us to predict observables such as differential cross-sections, these predictions must be transformed into concrete numerical results before they can be compared to experimental data.
10 This transformation is at the heart of phenomenological work: it requires both analytical understanding and computational implementation.
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12 In this project, the student will learn how to translate theoretical expressions for differential cross-sections into numerical simulations, calculate relevant observables, and compare these results with real-world data from high-energy experiments such as those at the LHC or RHIC.
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14 The focus will be on inclusive jet and hadron production, with the possibility of exploring more complex observables such as dijet correlations or extending the analysis to heavy-ion collisions.
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16 Through this hands-on experience, the student will develop practical skills in numerical computing, gain insight into the logic of perturbative QCD calculations, and understand how phenomenological tools connect theoretical predictions with experimental measurements.
17
18 **Work description:**
19
20 * meeting and discussion (2hrs/day)
21 * unsupervised work (4hrs/day)
22
23 **Expected outcomes:**
24
25 * given a differential cross-section, write a program that can calculate the differential distribution of an observable
26 * reproduce existing single inclusive jet/hadron experimental data (LO)
27 * reproduce existing dijet-related experimental data (LL)
28 * implement applications in heavy-ion collisions (optional)
29
30 **Requirements:**
31
32 * basic Fortran, or C/C++ programming
33 * preferred knowledge in high-energy physics
34 * preferred knowledge in numerical analysis