Pith. Sign in

RECORD

Energy and System Size Dependence of Strangeness Production from SPS to RHIC

PaperPDF from arXiv

data files

Paper breakdownThe authors' claims, conditions and measurements, as JSON Signed receiptProof this review has not been altered
X Bluesky LinkedIn Reddit Hacker News
Jun Takahashi (for the STAR collaboration)

Nuclear Experiment · Submitted 14 Nov 2007

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

The authors' main claim In addition to the comparison of the yields, a statistical thermal model was used to extract freeze-out characteristics for the different system sizes and collision energies.

how it is stated · asserted 1.00 read the record →

Comment (0) Read on arXiv ↗
Cite ▾
arXiv ID0711.2273 (version 2)
Pith IDLUGIO2OR, Pith's permanent record of this paper and its review
CitationJun Takahashi (for the STAR collaboration). "Energy and System Size Dependence of Strangeness Production from SPS to RHIC." arXiv:0711.2273 (2007). https://pith.science/paper/LUGIO2OR
Claim paper

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.

Open the compiled record

Compiled by classifier-1.13-20260917 via OpenRouter, question bank abstract-p1-20260923, 2026-09-23: 1 request, 4,292 input tokens, $0.0002 reported.

What the abstract itself states, as probabilities: claims first 0.05 · states limitation 0.06 · human participants 0.02 · controlled comparison 0.62 · randomized assignment 0.01 · states quantitative result 0.09 · compares with prior results 0.85 · mentions code or data availability 0.03.

The abstract, sentence by sentence

arXiv listing abstract v2. Results and the main claim are underlined; .

Strange particle production is an important experimental observable that allows the study of the strongly interacting matter created in relativistic heavy-ion collisions. The STAR experiment at RHIC has a unique capability of measuring identified strange particles over a wide range of acceptance providing a rich set of data to perform a systematic study. In addition to the data from Au+Au collisions, strange particles from p+p and d+Au collisions are also available for comparison and normalization. A new set of data from Cu+Cu reactions at 62 GeV and 200 GeV provides the chance to compare the system size dependence observed in Au+Au collisions with this smaller system size. In addition to the comparison of the yields, a statistical thermal model was used to extract freeze-out characteristics for the different system sizes and collision energies.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 Strange particle production is an important experimental observable that allows the study of the strongly interacting matter created in relativistic heavy-ion collisions. background 1.00 0.05 0.03 asserted 1.00
s1 The STAR experiment at RHIC has a unique capability of measuring identified strange particles over a wide range of acceptance providing a rich set of data to perform a systematic study. method 0.75 0.56 0.03 asserted 1.00
s2 In addition to the data from Au+Au collisions, strange particles from p+p and d+Au collisions are also available for comparison and normalization. method 0.78 0.50 0.02 asserted 1.00
s3 A new set of data from Cu+Cu reactions at 62 GeV and 200 GeV provides the chance to compare the system size dependence observed in Au+Au collisions with this smaller system size. contribution 0.90 0.81 0.06 asserted 0.54
s4 In addition to the comparison of the yields, a statistical thermal model was used to extract freeze-out characteristics for the different system sizes and collision energies. method 0.95 0.93 0.09 asserted 1.00

What kind of paper the classifier reports this is: empirical study 1.00 · evidence from observation or experiment 0.78.

What was examined, and what was not

sources read
  • arXiv listing abstract v2
not examined
  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
levels run
  • P abstract
not run
  • S sections
  • 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

Strange particle production is an important experimental observable that allows the study of the strongly interacting matter created in relativistic heavy-ion collisions. The STAR experiment at RHIC has a unique capability of measuring identified strange particles over a wide range of acceptance providing a rich set of data to perform a systematic study. In addition to the data from Au+Au collisions, strange particles from p+p and d+Au collisions are also available for comparison and normalization. A new set of data from Cu+Cu reactions at 62 GeV and 200 GeV provides the chance to compare the system size dependence observed in Au+Au collisions with this smaller system size. In addition to the comparison of the yields, a statistical thermal model was used to extract freeze-out characteristics for the different system sizes and collision energies.

Human review

How Pith checks papers → · Full audit of this paper →

References
How the literature uses it

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 · 1 sentence without a confident label

Uses the method or tool of 1 paper

Discussion

Know something about this paper? Leave a comment, or highlight any passage above to comment on it.