Violation in Mixing

More documents

Recommendations

Info

128 Measurement of Branching Fractions for � ¦ � Ã � ¦ decays number of events / 0.0025 GeV 250 200 150 100 50 ALLCHAN 7332. 37.19 / 34 P1 498.1 12.91 P2 23.11 1.272 0 5.2 5.22 5.24 5.26 5.28 5.3 Mes (GeV) Figure 5-9. ARGUS fit to the Ñ�Ë distribution in the on-resonance side-band region. 5.4.2 Parameterizations of Ñ�Ë Distributions The background shape in Ñ�Ë is parameterized by the ARGUS function in Eq. 4.6.2. where we use ÑÑ�Ü � �� Î� 2 and where the parameter � is determined from a fit. A fit to the on-resonance side-band region after applying the standard selection (see Sec. 4.2.1) gives � � � ¦ � (Fig. 5-9). A similar fit performed on off-resonance grand side-band region gives � � � ¦ �� and we find � � � ¦ � in continuum Monte Carlo events (Fig. 5-10). All the values obtained from these samples are well compatible with each other and with the on-resonance fit. We use the value � � � ¦ � in the rest of this analysis. The Ñ�Ë PDF for the signal is parameterized as a Gaussian with mean of �� Î� and width of ��Å�Î� taken from the � � � � control sample (4.2.2.1). 5.4.3 Fisher Discriminant The Fisher discriminant has already been defined in Sec. 4.3. For the parameterization of the Fisher variable in signal events we have used signal Ã Ë � MC, while for the Fisher variable in the background events, we have used the on-resonance Ñ�Ë side-band (�� Ñ�Ë � �� Î). 2 This parameter is determined in a mode independent way: see Sec.4.6.2 MARCELLA BONA
5.4 Background Suppression and PDF Parameterization 129 number of events / 0.0025 GeV 70 60 50 40 30 20 10 offresonance grand side band ALLCHAN 1708. 26.86 / 34 P1 109.9 6.089 P2 21.02 2.697 0 5.2 5.22 5.24 5.26 5.28 5.3 energy substituted B mass (GeV) number of events / 0.0025 GeV 100 80 60 40 20 continuum MC side band ALLCHAN 2634. 32.25 / 34 P1 176.3 7.619 P2 22.96 2.106 0 5.2 5.22 5.24 5.26 5.28 5.3 energy substituted B mass (GeV) Figure 5-10. ARGUS fits to the Ñ�Ë distribution for the grand side-band region in off-resonance (left) and continuum Monte Carlo (right). For off-resonance sample the different Ô × value has been compensated adding a constant shift to the Ñ�Ë values in order to have the same ÑÑ�Ü. The Fisher distribution in on-resonance Ñ�Ë side-band has been validated against continuum MC and offresonance data, both in the entire signal band and in the Ñ�Ë side-band. Figure 5-11 shows comparisons of the Fisher variable in on-resonance data with continuum Monte Carlo and off-resonance data in the Ñ�Ë side-band. Figure 5-12 shows the parameterization for background events and signal Monte Carlo events respectively. Left plot shows also the separation power of the Fisher variable and the good agreement between Fisher variable evaluated in signal Ã Ë � MC events and signal � � MC events. Therefore, the Fisher variable distribution from � � control sample will be used as a systematic check for the signal Fisher distribution included in the likelihood fit. 5.4.4 Particle ID Selection We use the measured (� ) minus expected (� �ÜÔ ) � ��Ö�Ò�ÓÚ angle for the charged pion or kaon to separate the two signal modes on a statistical basis. The distribution of � � �ÜÔ is parameterized by a central Gaussian plus a satellite Gaussian that accounts for the few percent of tracks that are mis-reconstructed. A detailed description of the DIRC PDF’s can be found in Sec. 4.4. To have a clean sample of tracks with well measured � we require the already described particle ID (or PID) cuts: � � , number of signal photons � � and proton veto � � Ô � ÑÖ�� where � Ô is the expected � ��Ö�Ò�ÓÚ angle for a proton with the given momentum. MEASUREMENT OF BRANCHING FRACTIONS FOR � ¦ � Ã � ¦ DECAYS
Page 1 and 2:
ÍÒ�Ú�Ö×�Ø��
Page 3 and 4:
Contents Introduction . ...........
Page 5 and 6:
4 Strategy and Tools for Charmless
Page 7 and 8:
7.2 Branching fraction � � �
Page 9 and 10:
Introduction The main goal of the B
Page 11 and 12:
1 �È Violation in the �� Sys
Page 13 and 14:
1.2 Neutral � Mesons 7 Note, howe
Page 15 and 16:
1.2 Neutral � Mesons 9 Applying t
Page 17 and 18:
1.2 Neutral � Mesons 11 �È �
Page 19 and 20:
1.2 Neutral � Mesons 13 ��
Page 21 and 22:
1.2 Neutral � Mesons 15 � ¡�
Page 23 and 24:
1.2 Neutral � Mesons 17 and � a
Page 25 and 26:
1.2 Neutral � Mesons 19 given tim
Page 27 and 28:
1.3 The Three Types of �È Violat
Page 29 and 30:
Page 31 and 32:
Page 33 and 34:
1.4 �È Violation in the Standard
Page 35 and 36:
Page 37 and 38:
Page 39 and 40:
Page 41 and 42:
Page 43 and 44:
1.5 Determination of « 37 1.5 Dete
Page 45 and 46:
1.5 Determination of « 39 Assuming
Page 47 and 48:
1.5 Determination of « 41 Figure 1
Page 49 and 50:
1.5 Determination of « 43 b q (a)
Page 51 and 52:
1.5 Determination of « 45 � �
Page 53 and 54:
2 The BABAR Experiment 2.1 Physics
Page 55 and 56:
2.1 Physics at � � B Factory op
Page 57 and 58:
2.2 The BABAR detector. 51 Integrat
Page 59 and 60:
2.2 The BABAR detector. 53 The dete
Page 61 and 62:
2.2 The BABAR detector. 55 two oute
Page 63 and 64:
2.2 The BABAR detector. 57 SVT Effi
Page 65 and 66:
2.2 The BABAR detector. 59 324 1015
Page 67 and 68:
Efficiency 2.2 The BABAR detector.
Page 69 and 70:
2.2 The BABAR detector. 63 2.2.4 Th
Page 71 and 72:
entries per mrad 2.2 The BABAR dete
Page 73 and 74:
2.2 The BABAR detector. 67 entries
Page 75 and 76:
2.2 The BABAR detector. 69 energies
Page 77 and 78:
2.2 The BABAR detector. 71 The main
Page 79 and 80:
Efficiency 2.2 The BABAR detector.
Page 81 and 82:
2.2 The BABAR detector. 75 Table 2-
Page 83 and 84: 3 Ã Ë reconstruction and efficien
Page 85 and 86: 3.3 Studies on data 79 19.5° BINS
Page 87 and 88: 3.3 Studies on data 81 ¯ off-reson
Page 89 and 90: 3.3 Studies on data 83 0.504 0.502
Page 91 and 92: 3.3 Studies on data 85 0.03 0.025 0
Page 95 and 96: 3.3 Studies on data 89 N(π + π -
Page 99 and 100: 3.3 Studies on data 93 Figure 3-13.
Page 103 and 104: 4 Strategy and Tools for Charmless
Page 105 and 106: 4.2 Event selection 99 channel sele
Page 107 and 108: 4.2 Event selection 101 ÀÐ �
Page 109 and 110: 4.2 Event selection 103 Figure 4-2.
Page 111 and 112: 4.3 Background fighting 105 Figure
Page 113 and 114: 4.4 PID selection 107 In the case o
Page 115 and 116: 4.4 PID selection 109 θ c Cut Effi
Page 117 and 118: 4.5 Tracking Corrections 111 Ë�
Page 119 and 120: 4.6 Analysis methods 113 Ñ�Ë si
Page 121 and 122: 4.6 Analysis methods 115 Events/2.5
Page 123 and 124: 4.6 Analysis methods 117 Figure 4-1
Page 125 and 126: 4.6 Analysis methods 119 θ c radia
Page 127 and 128: 5 Measurement of Branching Fraction
Page 129 and 130: 5.2 Ã Ë reconstruction 123 1 0.8
Page 131 and 132: 5.3 Analysis Strategy 125 0.35 0.3
Page 133: 5.4 Background Suppression and PDF
Page 137 and 138: 5.4 Background Suppression and PDF
Page 139 and 140: 5.5 Maximum likelihood analysis 133
Page 151 and 152: 5.6 Counting analysis 145 Table 5-1
Page 153 and 154: 5.7 Determination of branching frac
Page 155 and 156: 6 Measurement of Branching Fraction
Page 157 and 158: 6.3 The maximum likelihood analysis
Page 163 and 164: 6.4 Counting analysis 157 120 100 8
Page 165 and 166: 6.5 Analysis choice 159 6.5 Analysi
Page 167 and 168: 6.6 Results on the Run1 data-set 16
Page 169 and 170: 6.7 Determination of the branching
Page 171 and 172: 7 Analysis of the time-dependent
Page 173 and 174: 7.3 Analysis strategy 167 Parameter
Page 175 and 176: 7.4 Data samples and event selectio
Page 177 and 178: 7.4 Data samples and event selectio
Page 179 and 180: 7.5 Background characterization 173
Page 181 and 182: 7.5 Background characterization 175
Page 185 and 186:
7.7 The maximum likelihood analysis
Page 187 and 188:
Page 189 and 190:
Page 191 and 192:
7.8 Validation studies 185 Figure 7
Page 193 and 194:
7.8 Validation studies 187 100 75 5
Page 195 and 196:
7.8 Validation studies 189 Figure 7
Page 197 and 198:
7.8 Validation studies 191 Paramete
Page 199 and 200:
7.9 Results 193 Parameter Fit Resul
Page 201 and 202:
7.9 Results 195 Events/2 MeV/c 2 Ev
Page 203 and 204:
7.10 Systematic studies 197 Categor
Page 205 and 206:
7.11 Summary 199 �Ã� Ë��
Page 207 and 208:
7.11 Summary 201 �Ã� Ë��
Page 209 and 210:
7.11 Summary 203 Variation �Ã�
Page 211 and 212:
BIBLIOGRAFIA 205 Bibliografia Chapt
Page 213 and 214:
BIBLIOGRAFIA 207 [38] J. Charles, P
Page 215 and 216:
BIBLIOGRAFIA 209 Chapter 7 [67] D.
show all

Violation in Mixing

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?