Elliptic flow from event-by-event hydrodynamics with fluctuating initial state

Hannu Holopainen; Harri Niemi; Kari J. Eskola

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Elliptic flow from event-by-event hydrodynamics with fluctuating initial state

Hannu Holopainen, Harri Niemi, Kari J. Eskola

High Energy Physics - Phenomenology · Submitted 1 Dec 2010

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim Our studies also show that the participant plane is quite a good approximation for the event plane.

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arXiv ID1012.0180 (version 1)

Pith IDK3VLAIW6, Pith's permanent record of this paper and its review

CitationHannu Holopainen, Harri Niemi, Kari J. Eskola. "Elliptic flow from event-by-event hydrodynamics with fluctuating initial state." arXiv:1012.0180 (2010). https://pith.science/paper/K3VLAIW6

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The compiled record

The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13-20260917 via OpenRouter, question bank abstract-p1-20260923, 2026-09-23: 1 request, 2,290 input tokens, $0.0001 reported.

What the abstract itself states, as probabilities: claims first 0.04 · states limitation 0.15 · human participants 0.02 · controlled comparison 0.08 · randomized assignment 0.01 · states quantitative result 0.07 · compares with prior results 0.76 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; show every role.

We develop an event-by-event ideal hydrodynamical framework where initial state density fluctuations are present and where we use a similar flow-analysis method as in the experiments to make a one-to-one $v_2$ comparison with the measured data. Our studies also show that the participant plane is quite a good approximation for the event plane.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#	sentence	role	the authors' own work	states the main conclusion	strength
s0	We develop an event-by-event ideal hydrodynamical framework where initial state density fluctuations are present and where we use a similar flow-analysis method as in the experiments to make a one-to-one $v_2$ comparison with the measured data.	method 0.64	0.95	0.16	asserted 0.99
s1	Our studies also show that the participant plane is quite a good approximation for the event plane.	result 0.98	0.93	0.28	asserted 1.00

What kind of paper the classifier reports this is: simulation study 0.72 · evidence from simulation or computation 1.00.

What was examined, and what was not

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arXiv listing abstract v1

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full text
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T body sentences
C citations
R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper

Original abstract

We develop an event-by-event ideal hydrodynamical framework where initial state density fluctuations are present and where we use a similar flow-analysis method as in the experiments to make a one-to-one $v_2$ comparison with the measured data. Our studies also show that the participant plane is quite a good approximation for the event plane.

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What this paper does with the arXiv papers it cites

Each citing sentence is taken from the citing paper's LaTeX source and typed by Pith's classifier. A label appears at probability 0.8 or more (0.95 for support), a contest at 0.7 or more; the quoted words are the citing authors'. How each label was checked · JSON

What it cites · 2 sentences without a confident label

Uses the method or tool of 2 papers

We apply the two-subevent method [ref] to estimate the event plane resolution $ℛ_2$, which corrects $v_2 { obs }$ for the event plane fluctuations.

Methods for analyzing anisotropic flow in relativistic nuclear collisions · Event-by-event hydrodynamics framework · 1.00
For this, we let the unstable thermal hadrons decay one by one using PYTHIA 6.4 [ref] .

PYTHIA 6.4 Physics and Manual · Event-by-event hydrodynamics framework · 1.00

Uses data or values from 1 paper

The overall normalization constant $K$ and the initial time $τ_0 = 0.17$ fm are taken from the EKRT pQCD+saturation model [ref] .

Scaling of transverse energies and multiplicities with atomic number and energy in ultrarelativistic nuclear collisions · Event-by-event hydrodynamics framework · 0.80

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