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Measurement of splittings along a jet shower in $\sqrt{s} = 200$ GeV pp collisions at STAR
by Raghav Kunnawalkam Elayavalli (for the STAR Collaboration)
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Submission summary
| Authors (as registered SciPost users): | Raghav Kunnawalkam Elayavalli |
| Submission information | |
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| Preprint Link: | scipost_202107_00089v1 (pdf) |
| Date accepted: | 2022-03-18 |
| Date submitted: | 2021-07-30 14:38 |
| Submitted by: | Kunnawalkam Elayavalli, Raghav |
| Submitted to: | SciPost Physics Proceedings |
| Proceedings issue: | 28th Annual Workshop on Deep-Inelastic Scattering (DIS) and Related Subjects (DIS2021) |
| Ontological classification | |
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| Academic field: | Physics |
| Specialties: |
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| Approach: | Experimental |
Abstract
Jets are algorithmic proxies of hard scattered partons, i.e. quarks and gluons, in high energy particle collisions. The STAR collaboration presents the first measurements of substructure observables at the first, second and third splits in the jet clustering tree via the iterative SoftDrop procedure. For each of these splits, we measure the fully corrected groomed shared momentum fraction (\zg) and groomed jet radius (\rg). We discuss the evolution of jet substructure in both the angular and momentum scales which allows for a self-similarity test of the DGLAP splitting function. We compare the fully corrected data to Monte Carlo models, providing stringent constraints on model parameters related to the parton shower and non-perturbative effects such as hadronization.
Published as SciPost Phys. Proc. 8, 059 (2022)
Reports on this Submission
Report
This is a nice measurement of Jets substructure at the STAR experiment. R_g, Z_g measurement for different branches of jet prongs is iterating and comparisons with various event generators is worthwile to publish. I recommend the nice measurement and well written draft.
Anonymous on 2022-02-08 [id 2175]
The STAR results is very interesting in understanding the jet substructure. Pertubative and nonpertubative region with Rg and theta_g is well represented with subject algorithms and different splits in C/A decluttering tree. Text are well written. Here I sign off with one minor comment.
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