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SUMMARY:Neural-network extraction of collinear transversity distributions 
 and tensor charges with distribution level lattice-QCD input
DTSTART;VALUE=DATE-TIME:20261010T064000Z
DTEND;VALUE=DATE-TIME:20261010T065500Z
DTSTAMP;VALUE=DATE-TIME:20261005T092135Z
UID:indico-contribution-2864@indico.itp.ac.cn
DESCRIPTION:Speakers: 宏鑫 董 (Nanjing Normal University)\nWe present a
  neural-network global analysis of transversity parton distributions and d
 ihadron fragmentation functions using Belle\, HERMES\, COMPASS\, and STAR 
 measurements. The main new ingredient is an x-dependent lattice-QCD determ
 ination of isovector transversity\, included directly at positive and nega
 tive x. It complements the limited experimental coverage and favors a larg
 er positive up-quark and a more negative down-quark transversity while ret
 aining an acceptable description of the world data.\n\nhttps://indico.itp.
 ac.cn/event/437/contributions/2864/
LOCATION:会议楼2 CXII103
URL:https://indico.itp.ac.cn/event/437/contributions/2864/
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