8-11 October 2026
Asia/Shanghai timezone

Neural-network extraction of collinear transversity distributions and tensor charges with distribution level lattice-QCD input

10 Oct 2026, 14:40
15m
CXII103 (会议楼2)

CXII103

会议楼2

香港中文大学(深圳)

Speaker

Mr 宏鑫 董 (Nanjing Normal University)

Description

We present a neural-network global analysis of transversity parton distributions and dihadron fragmentation functions using Belle, HERMES, COMPASS, and STAR measurements. The main new ingredient is an x-dependent lattice-QCD determination of isovector transversity, included directly at positive and negative x. It complements the limited experimental coverage and favors a larger positive up-quark and a more negative down-quark transversity while retaining an acceptable description of the world data.

Primary authors

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