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Dielectron Analysis Status

Dielectron Analysis Status. WIS 21-Aug-14. Normalization. Get the normalization factors for the like sign spectra: Get in integrals of the normalized like sign spectra: Get the normalization factor for the unlike sign spectrum:. Normalization I. Normalization II. HIJING (~0-10% central).

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Dielectron Analysis Status

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  1. Dielectron Analysis Status WIS 21-Aug-14

  2. Normalization • Get the normalization factors for the like sign spectra: • Get in integrals of the normalized like sign spectra: • Get the normalization factor for the unlike sign spectrum: Normalization I. Normalization II.

  3. HIJING (~0-10% central) • Compare the combinatorial background from SAME event with the combinatorial background from MIXED event • How do we select the combinatorial background from SAME event: vert1!=vert2 (both legs are coming from different space points) OR vert1==vert2 && vertr1==0 && vertr2==0 (both legs are coming from exactly zero – these are pi+ and pi-)

  4. HIJING (~0-10% central) • Applying the Normalization II: -> the ratio of the combinatorics from the SAME and the MIXED is: 0.9898 +/- 0.0003

  5. HIJING (~0-10% central) • Applying the Normalization I: -> the ratio of the combinatorics from the SAME and the MIXED is 1

  6. HIJING to DATA -> Assuming the results from HIJING are correct we apply normalization I. to the data • Standards CA eID is applied • DC ghost track rejected • RICH ghost event rejected • Normalization done after CA and ghost cuts • HBD cuts applied later • In the following slides the data set is ~1B events

  7. Cabana Boy settings //CabanaBoy *cb = new CabanaBoy(10,8,1,"ULMM_DataTrack"); CabanaBoy *cb = new CabanaBoy(10,8,6,"ULMM_DataTrack"); cb->setPoolType(CabanaBoy::AkibaPools);cb->setPoolDepth(100);cb->setFastMom(false);cb->setZVertexMax(20.0);//cb->setReactionPlaneSelectionType(CabanaBoy::ReactionPlaneNotUsed); cb->setReactionPlaneSelectionType(CabanaBoy::ReactionPlaneRun7RXNEllipticSN); cb->setCentralitySelectionType(CabanaBoy::CentralityTypeRun10AuAu200); • Other settings • CA eID cuts • no HBD cuts applied • Ghost events rejected

  8. Nlike/Blike , S+- (0 < centrality < 10) CA + ghost rej. CA + ghost rej. + HBD (matching) CA + ghost rej. + HBD (matching) + S/D rejection

  9. Nlike/Blike , S+- (10 < centrality < 20) CA + ghost rej. CA + ghost rej. + HBD (matching) CA + ghost rej. + HBD (matching) + S/D rejection

  10. Nlike/Blike , S+- (20 < centrality < 40) CA + ghost rej. CA + ghost rej. + HBD (matching) CA + ghost rej. + HBD (matching) + S/D rejection

  11. Nlike/Blike , S+- (40 < centrality < 92) CA + ghost rej. CA + ghost rej. + HBD (matching) CA + ghost rej. + HBD (matching) + S/D rejection

  12. Applying strong eID cuts • eID cuts: • n0 > 3 • sqrt(emcsdphi*emcsdphi + emcsdz*emcsdz) < 2 • dep > -1 [#] • chi2/npe0 < 5 • disp < 4 • prob > 0.05 • |zed| < 75 • In the following slides the data set is ~2B events

  13. Nlike/Blike , S+- (0 < centrality < 10) CA + ghost rej. CA + ghost rej. + HBD (matching) CA + ghost rej. + HBD (matching) + S/D rejection

  14. Nlike/Blike , S+- (10 < centrality < 20) CA + ghost rej. CA + ghost rej. + HBD (matching) CA + ghost rej. + HBD (matching) + S/D rejection

  15. Nlike/Blike , S+- (20 < centrality < 40) CA + ghost rej. CA + ghost rej. + HBD (matching) CA + ghost rej. + HBD (matching) + S/D rejection

  16. Nlike/Blike , S+- (40 < centrality < 92) CA + ghost rej. CA + ghost rej. + HBD (matching) CA + ghost rej. + HBD (matching) + S/D rejection

  17. Summary • There is some correlation in like sign? • It is masked by the combinatorics in the central, but becomes visible in the peripheral? • The like-sign ratio looks flat for the central and the normalization is reasonble? • Should we apply some kind of “jet-free region” normalization for the peripheral? • Will try to study peripheral events in HIJING

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