Fragmentationsfunktionen, Multiplizität und H1

15
Fragmentationsfunktionen, Multiplizität und H1 Nicolas du Fresne von Hohenesche Bonn Meeting 19.12.2012 COMPASS Nicolas du Fresne von Hohenesche FF und H1

Transcript of Fragmentationsfunktionen, Multiplizität und H1

Fragmentationsfunktionen, Multiplizität und H1

Nicolas du Fresne von Hohenesche

Bonn Meeting 19.12.2012

COMPASS

Nicolas du Fresne von Hohenesche FF und H1

Semiinklusive tiefinelastische Streuung

Nachweis eines Hadrons h inKoinzidenz mit einem gestreutenLepton l �

l + N = l � + h + X

Zusätzliche Variablen: z, xf

Nicolas du Fresne von Hohenesche FF und H1

Fragmentationsfunktionen

Nicht farbneutrale Fragmente nach der Streuung vorhanden ⇒HadronisierungWelche Hadronen entstehen? Und wieviele? ⇒Fragmentationsfunktionen Dh

q(z): nicht normierteWahrscheinlichkeit, dass aus Quark q eine Hadron h entstehtmit dem Impulsbruchteil z⇒ FF sind Umkehrungen von Quarkverteilung q(x)Eigenschaften von Dh

q :�

h

� 1

0z · Dh

f (Q2, z)dz = 1

nh =�

f

� 1

zSchwelle

Dhf (Q

2, z)dz

Unabhängig vom Streuprozess (⇒ Unabhängigkeit von x)Universalität, d.h. unabhängig von der Produktionsart desQuark, das hadronisiert

Nicolas du Fresne von Hohenesche FF und H1

Multiplizität als Observable

Multiplizität für Hadron vom Typ h

1σtot

dσh

dz=

1Ntot

dNh

dz=

�q e2

qq(x)Dhq(z)�

q e2qq(x)

Gemessen werden Summen von Fragmentationsfunktion mitunterschiedlichen Gewichtungen

Nicolas du Fresne von Hohenesche FF und H1

Fragmentationsfunktion II

Es gibt viele Fragmentationsfunktionen, z.B.:Dπ+

u , Dπ−u , Dπ+

u , DK−u , Dπ0

u usw.Isospinsymmetrie und Ladungskonjugation:

Dπ+

u = Dπ+

d = Dπ−d = Dπ−

u → favoured

Dπ+

u = Dπ+

d = Dπ−

d = Dπ−u → unfavoured

Unterscheidung von favoured und unfavoured

Annahmen:Dfav > Dunfav

alle nonfavoured FF sind gleichalle favoured FF von leichten Quarks in Pionen sind gleich

Nicolas du Fresne von Hohenesche FF und H1

Herangehensweise

Standard Event-SelektionBest Primary VertexReconstructed µ and µ�

Target cutAuswahl des Hadrons

Stromquark (xf oder z)0.1 < x < 0.5 Valenzquarkregion oder Seequarkregion10 GeV/c2 < p < 50 GeV/c2 für Identifikation im RICH

⇒ Messen von Hadronen (π, K und p)

Nicolas du Fresne von Hohenesche FF und H1

Hadron-Identifikation: RICH

cosθ =1

n · β

Schwelleneffekt für verschiedene Teilchenarten (n, m)Verschmierung bei hohen ph

Nicolas du Fresne von Hohenesche FF und H1

H1 als Flugzeitdetektor

Ähnliche Akzeptanz wie RICHGute ZeitauflösungLimitation: Luftlichleiter, Loch

Nicolas du Fresne von Hohenesche FF und H1

TOF

Time-of-flight Methode als Teilchenidentifikation? Auflösung:

∆t =L

E1 − E2≈ Lc

2p2 (m21 − m2

2)

∆t = 4σt für K, π Trennung

Zutaten:(tj -ts) : Differenz(tj+ts)/2 : Meantimevscinti

KalibrationTrackingImpuls-Rekonstruktion

Nicolas du Fresne von Hohenesche FF und H1

RPD als Vorbild

TOF wird beim RPD verwendet (→ RPDhelper)Unterschiede: keine Ring A, SM1

Startcounter

Nicolas du Fresne von Hohenesche FF und H1

Test: FI01 als Startcounter

FI01 hitsVertex-Zeit mit v=c2012 Carbon-DatenVgl. mit Meantime (hier:Track-Time)

htemp3Entries 1827626Mean 0.5215RMS 1.592

-10 -8 -6 -4 -2 0 2 4 6 8 100

20

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60

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310× htemp3Entries 1827626Mean 0.5215RMS 1.592

timeFI01

htemp2Entries 411876Mean -49.6RMS 11.17

-70 -65 -60 -55 -50 -45 -40 -35 -30

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htemp2Entries 411876Mean -49.6RMS 11.17

Zprim {Zprim>-70&& Zprim<-30}htemp1

Entries 411876Mean 27.13RMS 1.494

22 24 26 28 30 32 34 36 380

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htemp1Entries 411876Mean 27.13RMS 1.494

vertex_time {Zprim>-70&& Zprim<-30}

Nicolas du Fresne von Hohenesche FF und H1

Zeitkalibration

Hier meantime für schmallen Streifen in der Mitte (ExtrapolierteTracks)

0 5 10 15 20 25 30

-844

-842

-840

-838

-836

-834

-832

-830

-828

-826calibration

Entries 235705Mean x 15.7Mean y -836.5RMS x 5.48RMS y 2.04

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calibrationEntries 235705Mean x 15.7Mean y -836.5RMS x 5.48RMS y 2.04

calibrationcalibration_1

Entries 26Mean 15.5RMS 8.12

calibration_1Entries 26Mean 15.5RMS 8.12

calibration_1Entries 26Mean 15.5RMS 8.12

calibration_1Entries 26Mean 15.5RMS 8.12

calibration_1Entries 26Mean 15.5RMS 8.12

calibration_1Entries 26Mean 15.5RMS 8.12

calibration_1Entries 26Mean 15.5RMS 8.12

Für Jura und SaleveNicolas du Fresne von Hohenesche FF und H1

Geschwindigkeit im Szintillator Saleve

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Fitted value of par[1]=MeanHG01Y1_s_t_ch2_1

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Mean -0.6388

RMS 66.43

Fitted value of par[1]=Mean

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Fitted value of par[1]=MeanHG01Y1_s_t_ch3_1

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Mean -0.4753

RMS 66.43

Fitted value of par[1]=Mean

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Fitted value of par[1]=MeanHG01Y1_s_t_ch4_1

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Mean -0.2485

RMS 66.22

Fitted value of par[1]=Mean

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Fitted value of par[1]=MeanHG01Y1_s_t_ch5_1

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Mean -0.697

RMS 66.47

Fitted value of par[1]=Mean

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Fitted value of par[1]=MeanHG01Y1_s_t_ch6_1

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Mean -0.9024

RMS 66.29

Fitted value of par[1]=Mean

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Fitted value of par[1]=MeanHG01Y1_s_t_ch7_1

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Mean -0.4782

RMS 66.34

Fitted value of par[1]=Mean

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Fitted value of par[1]=MeanHG01Y1_s_t_ch8_1

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Mean -0.6313

RMS 66.49

Fitted value of par[1]=Mean

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Fitted value of par[1]=MeanHG01Y1_s_t_ch9_1

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Mean -0.7511

RMS 66.46

Fitted value of par[1]=Mean

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Fitted value of par[1]=MeanHG01Y1_s_t_ch10_1

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Mean -0.7628

RMS 66.42

Fitted value of par[1]=Mean

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Fitted value of par[1]=MeanHG01Y1_s_t_ch11_1

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Mean -0.8026

RMS 66.48

Fitted value of par[1]=Mean

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Fitted value of par[1]=MeanHG01Y1_s_t_ch12_1

Entries 230

Mean -0.7048

RMS 66.57

Fitted value of par[1]=Mean

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Fitted value of par[1]=MeanHG01Y1_s_t_ch13_1

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Mean -0.7003

RMS 66.6

Fitted value of par[1]=Mean

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Fitted value of par[1]=MeanHG01Y1_s_t_ch14_1

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Mean -0.7648

RMS 66.58

Fitted value of par[1]=Mean

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Fitted value of par[1]=MeanHG01Y1_s_t_ch15_1

Entries 196

Mean 0.3675

RMS 71.82

Fitted value of par[1]=Mean

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Fitted value of par[1]=MeanHG01Y1_s_t_ch16_1

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Mean 0.02937

RMS 72.05

Fitted value of par[1]=Mean

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Fitted value of par[1]=MeanHG01Y1_s_t_ch17_1

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Mean -0.7071

RMS 66.62

Fitted value of par[1]=Mean

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Fitted value of par[1]=MeanHG01Y1_s_t_ch18_1

Entries 230

Mean -0.8505

RMS 66.55

Fitted value of par[1]=Mean

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Fitted value of par[1]=MeanHG01Y1_s_t_ch19_1

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Mean -1.509

RMS 66.83

Fitted value of par[1]=Mean

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Fitted value of par[1]=MeanHG01Y1_s_t_ch20_1

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Mean -1.636

RMS 66.8

Fitted value of par[1]=Mean

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Fitted value of par[1]=MeanHG01Y1_s_t_ch21_1

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Mean -1.327

RMS 66.77

Fitted value of par[1]=Mean

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Fitted value of par[1]=MeanHG01Y1_s_t_ch22_1

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Mean -0.724

RMS 66.35

Fitted value of par[1]=Mean

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Fitted value of par[1]=MeanHG01Y1_s_t_ch23_1

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Mean -0.9654

RMS 66.55

Fitted value of par[1]=Mean

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Fitted value of par[1]=MeanHG01Y1_s_t_ch24_1

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Mean -0.996

RMS 66.61

Fitted value of par[1]=Mean

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Mean -0.7657

RMS 66.38

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Fitted value of par[1]=MeanHG01Y1_s_t_ch26_1

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Mean -0.7171

RMS 66.51

Fitted value of par[1]=Mean

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Fitted value of par[1]=MeanHG01Y1_s_t_ch27_1

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Mean -0.6297

RMS 66.52

Fitted value of par[1]=Mean

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Mean -0.3703

RMS 66.26

Fitted value of par[1]=Mean

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Mean -0.6529

RMS 66.49

Fitted value of par[1]=Mean

Nicolas du Fresne von Hohenesche FF und H1

Geschwindigkeit im Szintillator Jura

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Fitted value of par[1]=MeanHG01Y1_j_t_ch2_1

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Mean 0.7829

RMS 66.5

Fitted value of par[1]=Mean

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Fitted value of par[1]=MeanHG01Y1_j_t_ch3_1

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Mean 0.5321

RMS 66.49

Fitted value of par[1]=Mean

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Fitted value of par[1]=MeanHG01Y1_j_t_ch4_1

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Mean 0.9778

RMS 66.59

Fitted value of par[1]=Mean

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Mean 0.8916

RMS 66.52

Fitted value of par[1]=Mean

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Mean 0.6262

RMS 66.48

Fitted value of par[1]=Mean

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Fitted value of par[1]=MeanHG01Y1_j_t_ch7_1

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Mean 0.6896

RMS 66.47

Fitted value of par[1]=Mean

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Fitted value of par[1]=MeanHG01Y1_j_t_ch8_1

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Mean 0.9791

RMS 66.54

Fitted value of par[1]=Mean

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Mean 0.9302

RMS 66.59

Fitted value of par[1]=Mean

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Fitted value of par[1]=MeanHG01Y1_j_t_ch10_1

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Mean 0.7222

RMS 66.59

Fitted value of par[1]=Mean

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Mean 0.976

RMS 66.68

Fitted value of par[1]=Mean

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Mean 0.966

RMS 66.58

Fitted value of par[1]=Mean

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Fitted value of par[1]=MeanHG01Y1_j_t_ch13_1

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Mean 1.314

RMS 66.82

Fitted value of par[1]=Mean

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Mean 0.5921

RMS 66.48

Fitted value of par[1]=Mean

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Fitted value of par[1]=MeanHG01Y1_j_t_ch15_1

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Mean 2.074

RMS 72.12

Fitted value of par[1]=Mean

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Mean 1.851

RMS 72.1

Fitted value of par[1]=Mean

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Mean 0.814

RMS 66.63

Fitted value of par[1]=Mean

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Fitted value of par[1]=MeanHG01Y1_j_t_ch18_1

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Mean 0.7953

RMS 66.58

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Fitted value of par[1]=MeanHG01Y1_j_t_ch19_1

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Mean 1.101

RMS 66.76

Fitted value of par[1]=Mean

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Mean 1.174RMS 66.72

Fitted value of par[1]=Mean

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Fitted value of par[1]=MeanHG01Y1_j_t_ch21_1

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Mean 1.776

RMS 66.82

Fitted value of par[1]=Mean

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Fitted value of par[1]=MeanHG01Y1_j_t_ch22_1

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Mean 1.176

RMS 66.62

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Mean 36.7

RMS 62.88

Fitted value of par[1]=Mean

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Fitted value of par[1]=MeanHG01Y1_j_t_ch24_1

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Mean 0.7569

RMS 66.55

Fitted value of par[1]=Mean

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Fitted value of par[1]=MeanHG01Y1_j_t_ch25_1

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Mean 0.6404

RMS 66.54

Fitted value of par[1]=Mean

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Fitted value of par[1]=MeanHG01Y1_j_t_ch26_1

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Mean 0.9517

RMS 66.55

Fitted value of par[1]=Mean

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Mean 1.13

RMS 66.66

Fitted value of par[1]=Mean

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Mean 1.139

RMS 66.61

Fitted value of par[1]=Mean

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Fitted value of par[1]=MeanHG01Y1_j_t_ch29_1

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Mean 0.6918

RMS 66.46

Fitted value of par[1]=Mean

Nicolas du Fresne von Hohenesche FF und H1

Next steps

KalibrationLuftlichtleiter-Problem lösenMassenbestimmungVergleich mit RICH in Überlapp (Nour)Evaluation des GewinnsEffizienzTesten an 2009 - 2011Warten auf 2012 Daten

Nicolas du Fresne von Hohenesche FF und H1