Pith. sign in

REVIEW 1 cited by

Y(nS) polarizations versus particle multiplicity in pp collisions at sqrt(s) = 7 TeV

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 1603.02913 v2 pith:BETI7JGG submitted 2016-03-09 hep-ex

Y(nS) polarizations versus particle multiplicity in pp collisions at sqrt(s) = 7 TeV

classification hep-ex
keywords collisionsdimuonmultiplicityparticlepolarizationsresultssqrtalthough
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
0 comments
read the original abstract

The polarizations of the Y(1S), Y(2S), and Y(3S) mesons are measured as a function of the charged particle multiplicity in proton-proton collisions at sqrt(s) = 7 TeV. The measurements are performed with a dimuon data sample collected in 2011 by the CMS experiment, corresponding to an integrated luminosity of 4.9 inverse femtobarns. The results are extracted from the dimuon decay angular distributions, in two ranges of Y(nS) transverse momentum (10-15 and 15-35 GeV), and in the rapidity interval abs(y) < 1.2. The results do not show significant changes from low- to high-multiplicity pp collisions, although large uncertainties preclude definite statements in the Y(2S) and Y(3S) cases.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Evidence for sequential $\Upsilon$(nS) suppression in light ion collisions

    nucl-ex 2026-07 conditional novelty 6.0

    First evidence of sequential Upsilon(nS) suppression in oxygen-oxygen and neon-neon collisions, with the Upsilon(3S)/Upsilon(2S) ratio reduced by 3.2 standard deviations.