Autor: Skands, Peter - Prolib Integro

Skocz do pozycji: 1.

Tytuł:: Systematics of quark/gluon tagging
Autorzy:: Lönnblad, Leif
Soyez, Gregory
Siódmok, Andrzej
Skands, Peter
Plätzer, Simon
Larkoski, Andrew
Höche, Stefan
Thaler, Jesse
Gras, Philippe
Kar, Deepak
Opis:: By measuring the substructure of a jet, one can assign it a "quark" or "gluon" tag. In the eikonal (double-logarithmic) limit, quark/gluon discrimination is determined solely by the color factor of the initiating parton (C F versus C A ). In this paper, we confront the challenges faced when going beyond this leading-order understanding, using both parton-shower generators and first-principles calculations to assess the impact of higher-order perturbative and nonperturbative physics. Working in the idealized context of electron-positron collisions, where one can define a proxy for quark and gluon jets based on the Lorentz structure of the production vertex, we find a fascinating interplay between perturbative shower effects and nonperturbative hadronization effects. Turning to proton-proton collisions, we highlight a core set of measurements that would constrain current uncertainties in quark/gluon tagging and improve the overall modeling of jets at the Large Hadron Collider.
Dostawca treści:: Repozytorium Uniwersytetu Jagiellońskiego

Artykuł

Skocz do pozycji: 2.

Tytuł:: A standard convention for particle-level Monte Carlo event-variation weights
Autorzy:: Plätzer, Simon
Siódmok, Andrzej
Schönherr, Marek
Gignac, Matthew
Kretzschmar, Jan
Singh Chahal, Gurpreet
Schumann, Steffen
Bothmann, Enrico
Kar, Deepak
Höche, Stefan
McFayden, Josh
Lönnblad, Leif
Siegert, Frank
Andersen, Jeppe R.
Gütschow, Christian
Gellersen, Leif
Buckley, Andy
Prestel, Stefan
Krauss, Frank
Skands, Peter
Butterworth, Jonathan Mark
Seymour, Michael H.
Corpe, Louie
Papaefstathiou, Andreas
Bhattacharya, Saptaparna
Opis:: Streams of event weights in particle-level Monte Carlo event generators are a convenient and immensely CPU-efficient approach to express systematic uncertainties in phenomenology calculations, providing systematic variations on the nominal prediction within a single event sample. But the lack of a common standard for labelling these variation streams across different tools has proven to be a major limitation for event-processing tools and analysers alike. Here we propose a well-defined, extensible community standard for the naming, ordering, and interpretation of weight streams that will serve as the basis for semantically correct parsing and combination of such variations in both theoretical and experimental studies.
Dostawca treści:: Repozytorium Uniwersytetu Jagiellońskiego

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