houbing jiang , qiyun li , ke li , zhiqing liu , âŠ...fix 4040and 4160 mass and width (pdg values);...
TRANSCRIPT
Search for ð+ðâ â ðžððð,ðð,ðð using data above ð+ðâ CM energy ~4 GeV
1
Houbing Jiang , Qiyun Li , Ke Li , Zhiqing Liu , ChangZheng Yuan1 , Xingtao Huang
Shandong universityIHEP1
2019.3.13
2
âMotivation
⢠We hope use ð+ðâ â ðŸððð to give more information about Y states ;
⢠E1 radiative transitions from the higher-mass charmonium states are especially interesting. For example : we can proof if Ï(4160) is 2D state
⢠Some work before this study;(CPC 39,041001) (PhysRevD.92.012011);
Phys. Rev. D 72, 054026
3
Section I ð+ðâ â ðžððð,ðð
4
âDATA Set
⢠Boss version boss703
⢠DATA
21 energy points XYZ data
⢠Signal MC
ð+ðâ â ð(4260) â ðŸðð1,2 P2GC1/P2GC2
ðð1 â ðŸJ/ð AV2GV
ðð2 â ðŸJ/ð T2GV
C.M ð(MeV) LïŒpb-1ïŒ
4009 4007.6 482.0
4180 4173.0 3189.0
4190 4189.3 521.9
4200 4199.6 523.7
4210 4209.7 511.2
4220 4218.8 508.2
4230 4226.3 1047.3
4237 4235.8 508.9
4246 4243.9 532.7
4260 4258.0 825.7
4270 4266.9 529.3
4360 4358.3 539.8
4420 4415.6 1028.9
4600 4599.5 566.9
C.M ð(MeV) LïŒpb-1ïŒ
4090 4085.5 52.8
4280 4277.8 174.5
4310 4307.9 45.1
4390 4387.4 55.6
4470 4467.1 111.1
4530 4427.1 112.1
4575 4574.5 48.9
Named DataSet I : DataSet II:
5
â Event Selection
⢠Initial selection:
⢠Charged track:N=2
⢠photon :good photons>=2;
⢠e , Ό selection :
⢠The two photon candidates with the largest energies are retained;
6
⢠Further selection:
⢠Clearly ððœ/ð evnets, let M(ðŸðŸ) < 0.52 || M(ðŸðŸ) > 0.58 GeV;
⢠After above selection,the inclusiveMC study show the dominant backgrounds come from Bhabha events.
â Event Selection for ð+ðâ channel
M(ðžðž)@4180 DATA M(ðžð³ð±/ð) >3.3GeV Signal MC M(ðžð³ð±/ð) >3.3GeV
7
âSuppress Bhabha events in ð+ðâ channel
⢠Let Cosð+ðŸð»>-0.9&& CosðâðŸð» >-0.9&&Cosð+ðŸð¿ <0.9&& CosðâðŸð¿ <0.9 ;⢠|Cos ðŸð» |<0.8 to remove Bhabha events;
8
⢠Further selection:
⢠Clearly ððœ/ð evnets, let M(ðŸðŸ) < 0.52 || M(ðŸðŸ) > 0.58 GeV;⢠Clearly ð0 background, let | M(ðŸðŸ) âM(ð0 )|>0.015GeV;
⢠After above selection, the inclusiveMC study show the dominant backgrounds come fromð+ðâ â (ððž)ð+ðâ;
â Event Selection for ð+ðâ channel
Signal MCM(ðžðž)@4180 DATA M(ðžð³ð±/ð) >3.3GeV
9
⢠Let |Cos ðŸð» |<0.8 to suppress dimu events;
âSuppress dimu events in ð+ðâ channel
10
âChisq4c cut
Chisq4c<40
⢠In ððð, ððð region:
11
âM(ðžð³ð±/ð) distribution@4180
⢠Clearly, there are ðð1,2 events.
⢠After above cut:
12
ðð1 MC
Scatter Plot of MC
âPhotons distribution @4009
⢠Obviously, some ðð2 decay to ðŸHJ/ð at 4009 energy point. To ðð1 MC, also there is an overlap between the two photons distributions .so we decide to use two photons to search signal.
ðð2 MC
13
âPhotons distribution @4180
ðð1 MC
Scatter Plot of MC
⢠Obviously, the distribution of two photons is essentially without overlap,andalmost all ðð1,2 decay to low energy photon . So we use low energy photon to search signal
ðð2 MC
14
âSignal extraction(DataSet I)
⢠For dataset I, We use fit method;
Fit Method
⢠As analyzed above , we use both of the two photons to search signal at 4009 (2D- Fit), and use the low energy photon to search signal at others energy points.
⢠Fit ð+ðâ and ð+ðâ two channel Simultaneously.
⢠Fit Shape:⢠@4009Signal use signal MC M(ðŸð¿ðœ/ð) and M(ðŸð»ðœ/ð) 2-D shape ;Background use dimu or bhabha MC M(ðŸð¿ðœ/ð) and M(ðŸð»ðœ/ð) 2-D shape;
⢠others Signal use signal MC M(ðŸð¿ðœ/ð) fit to dataBackground 2-order Chebychev
15
âFit result @4009 (2-D simultaneously fit)
M(ðŸð»ðœ/ð)
M(ðŸð¿ðœ/ð)
ð+ðâ ð+ðâ combine
16
âFit result @4180 (simultaneously fit)
ð+ðâ ð+ðâ combine
17
⢠Using six xyz data to fill in large gaps between somehigh-statistic energy points , For dataset II,we use count method:
⢠Define signal region: ðð1(3.49,3.53) ðð2(3.54,3.58) ,note the number of events as n;
⢠Define sideband region (3.42,3.46) (3.6,3.64),note the number of events as b;
⢠Statistical error:Suppose n and b follow Poisson distribution;
âSignal extraction(DataSet II)
C.M N_c1 N_c2 b
4090 2 0 7
4280 10 5 20
4310 2 4 3
4390 3 3 4
4470 8 0 6
4530 2 2 3
4575 1 0 1
18
âCross Section and lineshape of ð+ðâ â ðžððð,ðð
⢠Firstly, we use ð 4160 lineshape to get radiation correction factor;
⢠Using follow fumula measure cross section:
⢠Fit to ð+ðâ â ðžððð,ðð cross section:
⢠Fit Method(likelihood Method): Define likelihood fuction:
@4180 We suppose the number of events follow Gaussion distribution; @ others We suppose the number of events follow possion distribution;
â =à·
i=1
ðº(ð, ððð¥ð)à·
ð
ð(ðfit , ððð¥ð)
19
âThe line shape of ð+ðâ â ðžððð,ðð(Model I)
⢠Fit fuction(two coherent Breit-Wigner functions), because of the very similar line-shape ,we give a simultaneouslyïŒdecay from same resonenceïŒ fit:
ððððð ð = BW1+ ðµð2ððð2
⢠Three times iteration of the radiative correction procedure to get converge values(For the first time , we use ð(4160) line-shape to get radiative correction factor)
⢠ð+ðâ â ðžððð (1+ð¿) â ððð only ð+ðâ
20
ð+ðâ â ðžððð
ð+ðâ â ðžððð
âThe line shape of ð+ðâ â ðžððð,ðð(Model I-2-BW)
⢠Parameters⢠Fit result
Parameters I
M(R1) 3866.4± 326.6
Îð¡ðð¡(ð 1) 523.1 ± 87.9
Îððâ¬(ð 1â ðžððð)
2.8 ± 0.7
Îððâ¬(ð 1â ðžððð)
4.2 ± 0.7
M(R2) 4225.6 ± 2.7
Îð¡ðð¡(ð 2) 28.5 ± 5.4
Îððâ¬(ð 2â ðžððð)
0.094 ± 0.006
Îððâ¬(ð 2â ðžððð)
0.015 ± 0.006
ð1(ðžððð) 79.2±0.3
ð2(ðžððð) 343.1±0.2
21
âThe line shape of ð+ðâ â ðžððð,ðð(Model I-2-BW)
⢠Cross section ð+ðâ â ðžððð(Data Set I)
ð L(pb-1) ð_ðð ð_ðð 1+ð¹ ðð ðððð(ðð)ðð ðððð(ðð) Sig
4.0076 482.0 0.196 0.325 0.943 ð. ðâð.ð+ð.ð ð. ðâð.ð
+ð.ð 4.1ð
4.1783 3194.5 0.184 0.308 0.972 ð. ðâð.ð+ð.ð ð. ðâð.ð
+ð.ð 7.6ð
4.1888 522.5 0.188 0.319 0.941 ð. ðâð.ð+ð.ð ð. ðâð.ð
+ð.ð 3.9ð
4.1989 524.6 0.196 0.329 0.898 ð. ðâð.ð+ð.ð ð. ðâð.ð
+ð.ð 3.1ð
4.2092 518.1 0.201 0.338 0.839 ð. ðâð.ð+ð.ð ð. ðâð.ð
+ð.ð -
4.2187 514.3 0.213 0.356 0.789 âð. ðâð.ð+ð.ð ð. ðâð.ð
+ð.ð -
4226.3 1047.3 0.212 0.360 0.819 âð. ðâð.ð+ð.ð ð. ðâð.ð
+ð.ð -
4.2357 530.6 0.204 0.347 0.970 âð. ðâð.ð+ð.ð âð.ðâð.ð
+ð.ð -
4.2438 537.4 0.188 0.316 1.127 ð. ðâð.ð+ð.ð âð.ðâð.ð
+ð.ð -
4.258 825.7 0.164 0.275 1.291 ð. ðâð.ð+ð.ð ð. ðâð.ð
+ð.ð -
4.2668 529.3 0.152 0.258 1.336 ð. ðâð.ð+ð.ð ð. ðâð.ð
+ð.ð -
4.3583 539.8 0.133 0.231 1.379 âð. ðâð.ð+ð.ð ð. ðâð.ð
+ð.ð -
4.4156 1028.9 0.129 0.223 1.400 âð. ðâð.ð+ð.ð ð. ðâð.ð
+ð.ð -
4.5995 566.9 0.114 0.204 1.520 âð. ðâð.ð+ð.ð ð. ðâð.ð
+ð.ð -
22
âThe line shape of ð+ðâ â ðžððð,ðð(Model I-2-BW)
⢠Cross section ð+ðâ â ðžððð(Data Set II)
ð L(pb-1) ð 1+ð¹ ðð ðððð
4.0855 52.8 0.238 0.990 âð. ðâð.ð+ð.ð
4.2778 174.5 0.180 1.356 ðâð.ð+ð.ð
4.3079 45.1 0.174 1.369 ð. ðâð.ð+ð.ð
4.3874 55.6 0.170 1.384 ð. ðâð.ð+ð.ð
4.4671 111.1 0.163 1.428 ð. ðâð.ð+ð.ð
4.4271 112.1 0.155 1.470 ð. ðâð.ð+ð.ð
4.5745 48.9 0.154 1.503 ð. ðâð.ð+ð.ð
23
âThe line shape of ð+ðâ â ðžððð,ðð(Model I-2-BW)
⢠Cross section ð+ðâ â ðžððð(Data Set I)
ð L(pb-1) ð_ðð ð_ðð 1+ð¹ ðð ðððð(ðð)ðð ðððð(ðð) Sig
4.0076 482.0 0.182 0.297 0.959 ðð. ðâð.ð+ð.ð ð. ðâð.ð
+ð.ð 3.2ð
4.1783 3194.5 0.139 0.225 1.292 ð. ðâð.ð+ð.ð ð. ðâð.ð
+ð.ð 5.4ð
4.1888 522.5 0.130 0.218 1.357 ð. ðâð.ð+ð.ð ð. ðâð.ð
+ð.ð -
4.1989 524.6 0.128 0.216 1.337 ð. ðâð.ð+ð.ð ð. ðâð.ð
+ð.ð -
4.2092 518.1 0.148 0.249 1.069 ð. ðâð.ð+ð.ð ð. ðâð.ð
+ð.ð -
4.2187 514.3 0.182 0.313 0.811 âð. ðâð.ð+ð.ð ð. ðâð.ð
+ð.ð -
4226.3 1047.3 0.202 0.338 0.749 âð. ðâð.ð+ð.ð âð.ðâð.ð
+ð.ð -
4.2357 530.6 0.202 0.337 0.809 ð. ðâð.ð+ð.ð âð.ðâð.ð
+ð.ð -
4.2438 537.4 0.195 0.331 0.877 ð. ðâð.ð+ð.ð âð.ðâð.ð
+ð.ð -
4.258 825.7 0.186 0.316 0.964 ð. ðâð.ð+ð.ð ð. ðâð.ð
+ð.ð -
4.2668 529.3 0.177 0.299 1.001 ð. ðâð.ð+ð.ð âð.ðâð.ð
+ð.ð -
4.3583 539.8 0.149 0.251 1.167 ð. ðâð.ð+ð.ð ð. ðâð.ð
+ð.ð -
4.4156 1028.9 0.138 0.236 1.231 ð. ðâð.ð+ð.ð ð. ðâð.ð
+ð.ð 3.1ð
4.5995 566.9 0.117 0.208 1.380 âð. ðâð.ð+ð.ð ð. ðâð.ð
+ð.ð -
24
âThe line shape of ð+ðâ â ðžððð,ðð(Model I-2-BW)
⢠Cross section ð+ðâ â ðžððð(Data Set II)
ð L(pb-1) ð 1+ð¹ ðð ðððð
4.0855 52.8 0.205 1.037 âðð. ðâð.ð+ð.ð
4.2778 174.5 0.213 1.038 âð. ðâð.ð+ð.ð
4.3079 45.1 0.196 1.099 ð. ðâð.ð+ðð.ð
4.3874 55.6 0.178 1.189 ð. ðâð.ð+ð.ð
4.4671 111.1 0.166 1.273 âð. ðâð.ð+ð.ð
4.4271 112.1 0.157 1.321 ð. ðâð.ð+ð.ð
4.5745 48.9 0.152 1.361 âð. ðâð.ð+ð.ð
25
⢠Fit fuction: Suppose the line shape determined by ð 4040 and ð 4160 in 4~4.18GeV,we use(simultaneously fit ):
ððððð ð = ðµð ð 4040 + ðµð ð 4160 ððð1 + ðµð(ð 1)ððð22;
⢠Fix ð 4040 andð 4160 mass and width (PDG values);
⢠Three times iteration of the radiative correction procedure to get converge values (For the first time , we use ð(4160) line-shape to get radiative correction factor)
⢠ð+ðâ â ðžððð (1+ð¿) â ððð only mumu
âThe line shape of ð+ðâ â ðžððð,ðð(Model II-3BW)
26
âThe line shape of ð+ðâ â ðžððð,ðð
ð+ðâ â ðžððð
ð+ðâ â ðžððð
⢠Fitting result : ⢠Parameters:
Parameters I
M(ð 4040 ) 4039(ððð¥ðð)
Îð¡ðð¡(ð 4040 ) 80(fixed)
Îððâ¬(ð 4040 â ðžððð) 0.8±0.3
Îððâ¬(ð 4040 â ðžððð) 1.6 ±0.4
M(ð 4160 ) 4191(fixed)
Îð¡ðð¡(ð 4160 ) 70(fixed)
Îððâ¬(ð 4160 â ðžððð) 1.0 ± 0.3
Îððâ¬(ð 4160 â ðžððð) 1.8 ± 0.6
M(R2) 4244.8 ± 6.3
Îð¡ðð¡(ð 2) 83.2 ± 14.8
Îððâ¬(ð 2 â ðžððð) 0.8 ± 0.2
Îððâ¬(ð 2 â ðžððð) 1.5 ± 0.8
27
âThe line shape of ð+ðâ â ðžððð,ðð(Model II-3-BW)
⢠Cross section ð+ðâ â ðžððð(Data Set I)
ð L(pb-1) ð_ðð ð_ðð 1+ð¹ ðð ðððð(ðð) ðð ðððð(ðð)
4.0076 482.0 0.233 0.378 0.763 ð. ðâð.ð+ð.ð ð. ðâð.ð
+ð.ð
4.1783 3194.5 0.220 0.375 0.778 ð. ðâð.ð+ð.ð ð. ðâð.ð
+ð.ð
4.1888 522.5 0.222 0.374 0.783 ð. ðâð.ð+ð.ð ð. ðâð.ð
+ð.ð
4.1989 524.6 0.220 0.375 0.802 ð. ðâð.ð+ð.ð ð. ðâð.ð
+ð.ð
4.2092 518.1 0.216 0.363 0.825 ð. ðâð.ð+ð.ð ð. ðâð.ð
+ð.ð
4.2187 514.3 0.215 0.362 0.844 âð. ðâð.ð+ð.ð ð. ðâð.ð
+ð.ð
4226.3 1047.3 0.214 0.363 0.853 âð. ðâð.ð+ð.ð ð. ðâð.ð
+ð.ð
4.2357 530.6 0.213 0.363 0.863 âð. ðâð.ð+ð.ð âð.ðâð.ð
+ð.ð
4.2438 537.4 0.214 0.349 0.875 ð. ðâð.ð+ð.ð âð.ðâð.ð
+ð.ð
4.258 825.7 0.207 0.347 0.917 ð. ðâð.ð+ð.ð ð. ðâð.ð
+ð.ð
4.2668 529.3 0.198 0.334 0.957 ð. ðâð.ð+ð.ð ð. ðâð.ð
+ð.ð
4.3583 539.8 0.122 0.210 1.577 âð. ðâð.ð+ð.ð ð. ðâð.ð
+ð.ð
4.4156 1028.9 0.095 0.164 1.985 âð. ðâð.ð+ð.ð ð. ðâð.ð
+ð.ð
4.5995 566.9 0.054 0.097 3.244 âð. ðâð.ð+ð.ð ð. ðâð.ð
+ð.ð
28
âThe line shape of ð+ðâ â ðžððð,ðð(Model II-3-BW)
⢠Cross section ð+ðâ â ðžððð(Data Set II)
ð L(pb-1) ð 1+ð¹ ðð ðððð
4.0855 52.8 0.264 0.901 âð. ðâð.ð+ð.ð
4.2778 174.5 0.237 1.049 ðâð.ð+ð.ð
4.3079 45.1 0.205 1.289 ð. ðâð.ð+ð.ð
4.3874 55.6 0.135 2.004 ð. ðâð.ð+ð.ð
4.4671 111.1 0.099 2.712 ð. ðâð.ð+ð.ð
4.4271 112.1 0.089 3.240 ð. ðâð.ð:+ð.ð
4.5745 48.9 0.075 3.657 ð. ðâð.ð+ð.ð
29
âThe line shape of ð+ðâ â ðžððð,ðð(Model II-3-BW)
⢠Cross section ð+ðâ â ðžððð(Data Set I)
ð L(pb-1) ð_ðð ð_ðð 1+ð¹ ðð ðððð(ðð) ðð ðððð(ðð)
4.0076 482.0 0.222 0.357 0.760 ðð. ðâð.ð+ð.ð ð. ðâð.ð
+ð.ð
4.1783 3194.5 0.208 0.339 0.779 ð. ðâð.ð+ð.ð ð. ðâð.ð
+ð.ð
4.1888 522.5 0.206 0.350 0.780 ð. ðâð.ð+ð.ð ð. ðâ.ð.ð
+ð.ð
4.1989 524.6 0.209 0.349 0.797 ð. ðâð.ð+ð.ð ð. ðâð.ð
+ð.ð
4.2092 518.1 0.204 0.338 0.818 ð. ðâð.ð+ð.ð ð. ðâð.ð
+ð.ð
4.2187 514.3 0.201 0.337 0.838 âð. ðâð.ð+ð.ð ð. ðâð.ð
+ð.ð
4226.3 1047.3 0.205 0.343 0.851 âð. ðâð.ð+ð.ð âð.ðâð.ð
+ð.ð
4.2357 530.6 0.203 0.335 0.864 ð. ðâð.ð+ð.ð âð.ðâð.ð
+ð.ð
4.2438 537.4 0.197 0.332 0.880 ð. ðâð.ð+ð.ð âð.ðâð.ð
+ð.ð
4.258 825.7 0.189 0.323 0.932 ð. ðâð.ð+ð.ð ð. ðâð.ð
+ð.ð
4.2668 529.3 0.186 0.315 0.979 ð. ðâð.ð+ð.ð âð.ðâð.ð
+ð.ð
4.3583 539.8 0.104 0.179 1.739 ð. ðâð.ð+ð.ð ð. ðâð.ð
+ð.ð
4.4156 1028.9 0.075 0.135 2.263 ð. ðâð.ð+ð.ð ð. ðâð.ð
+ð.ð
4.5995 566.9 0.043 0.075 3.882 âð. ðâð.ð+ð.ð ð. ðâð.ð
+ð.ð
30
âThe line shape of ð+ðâ â ðžððð,ðð(Model II-3-BW)
⢠Cross section ð+ðâ â ðžððð(Data Set II)
ð L(pb-1) ð 1+ð¹ ðð ðððð
4.0855 52.8 0.205 1.037 âðð. ðâð.ð+ð.ð
4.2778 174.5 0.213 1.038 âð. ðâð.ð+ð.ð
4.3079 45.1 0.196 1.099 ð. ðâð.ð+ðð.ð
4.3874 55.6 0.178 1.189 ð. ðâð.ð+ð.ð
4.4671 111.1 0.166 1.273 âð. ðâð.ð+ð.ð
4.4271 112.1 0.157 1.321 ð. ðâð.ð+ð.ð
4.5745 48.9 0.152 1.361 âð. ðâð.ð+ð.ð
31
âCompare these two fit methods
⢠â log ð¿ ïŒ
2-BW â log ð¿ =165.5 3âBW â log ð¿ =173.8
Canât distinguish these two methods;
⢠For Resonance: Consistent with each other , Also consistent with ð+ ðâ â ð + ð âð±/ð channel;
ParametersïŒMeVïŒ ð+ðâ â ðžððð,ð
M(R2) 4225.6±2.6
Î(R2) 28.5±5.4
2-BW 3-BW
Parameters(MeV) ð+ðâ â ðžððð,ð
M(R1) 4247.2±6.2
Î(R1) 82.5±14.1
32
â~2683.2
â~1533.6
â~2221.5
âConfirm the dip around 4.23GeV
33
âSystematic uncertaintyïŒCross SectionïŒ
⢠The luminosity : measured using Bhabha events, with uncertainty 1.0%;
⢠Tracking efficiency : 1% is assigned to each track, 2% in total ;
⢠branching ratios : 0.6% for each channel ðœ/ð â ð+ðâ , ðœ/ð â ð+ðâ;
⢠branching ratios : 3.5% for ðð1 â ðŸJ/ð, 3.6% for ðð2 â ðŸJ/ð;
⢠Photon efficiency: each 1%, total 2%;
⢠Fit to M(ðŸð¿ðœ/ð) :⢠Change background shape 2nd â> 3nd ;
⢠Fit Range-----> ïŒ3.4,3.65ïŒ->ïŒ3.45,3.7ïŒððð ~ð. ð% ððð ~ð. ð%
⢠Kinematic fit: The difference efficiency between before and after pull correction;
ððð~ð. ð%, ððð~ð. ð%
Use 4180
34
⢠Radiative correction: Take the difference í â (1 + ð¿) between two fit models as systematic uncertainty;ðð1~2.7% ðð2~1% @4180
⢠Total systematic uncertainty : ð+ðâ â ðŸðð1 ~ 7.5% ;ð+ðâ â ðŸðð2 ~ 8.9%;
âSystematic uncertainty (Cross Section)
35
âSystematic uncertaintyïŒResonance Y(4220)ïŒ
⢠The CMS energies of all dataset: 1MeV for mass mesurement;
⢠The difference of Two models(width and mass );
Parameters(MeV) ð+ðâ â ðžððð,ð
M(Y(4220)) 4225.6 ± 2.7 ±20.2
Îð¡ðð¡(ð(4220)) 28.5 ± 5.4 ±54.7
36
âUpper Limit for (significance <3ð)
⢠To evaluate the upper limits of cross section at 90% C.L. :Define likelihood fuction:
⢠ð0 is the fixed number of signal events;
⢠ðº ð0, ð0ð is Gauss function, ð is systematic uncertainty ;
⢠The upper limit on the cross section is calculated with following formula:
â(ð0) = නðº ð0, ð0ð â â(ð) ðð
ðððððð¢ð
=ðð¢ð
â â ⬠â ð â (1 + ð¿) â (1 + ð¿ðð)
37
âUpper Limit @4230
⢠After consider to system uncertainty, we give the number of signal upper limit at 90% confidence level:
⢠Total systematic uncertainty : ð+ðâ â ðŸðð1 ~ 8.5% ;ð+ðâ â ðŸðð2 ~ 15.8%;
ð+ðâ â ðŸðð1 ð+ðâ â ðŸðð2
ðððððð¢ð
< 0.8pb ðððððð¢ð
< 1.4pb
38
âUpper Limit (For <3ð)
⢠After consider to system uncertainty, we give the number of signal upper limit at 90% confidence level:
ð+ðâ â ðŸðð1 ð+ðâ â ðŸðð2
C.M Sys error(%) Upper Limit(pb)
4210 8.6 2.8
4220 10.8 1.8
4230 8.5 0.8
4237 10.3 1.3
4246 18.2 0.9
4260 13.5 2.2
4270 10.7 2.4
4360 8.1 1.6
4420 8.1 2.0
4600 7.3 2.24
C.M Sys error(%) Upper Limit(pb)
4190 12.1 4.1
4200 9.7 5.7
4210 9.6 5.1
4220 13.5 6.3
4230 15.8 1.4
4237 11.9 1.4
4246 8.8 4.0
4260 8.9 3.1
4270 9.4 2.1
4360 10.8 4.7
4600 9.0 1.9
39
Section II ð+ðâ â ðžððð
40
âDATA Set
⢠Boss version boss703
⢠DATA
XYZ data
C.M ð(MeV) LïŒpb-1ïŒ
4009 4007.6 482.0
4180 4173.0 3189.0
4190 4189.3 521.9
4200 4199.6 523.7
4210 4209.7 511.2
4220 4218.8 508.2
4230 4226.3 1047.3
4237 4235.8 508.9
4246 4243.9 532.7
4260 4258.0 825.7
4270 4266.9 529.3
4360 4358.3 539.8
4420 4415.6 1028.9
4600 4599.5 566.9
DataSet :
41
âMC Samples for ððð â ð²+ð²â ð +ð â/ ð +ð â ð +ð â
⢠In PDG , ððð ððððððððð ð ðððð ðð ð²+ð²â ð +ð â , through the following channel:ð +ð â ð +ð â
ð+ðâ ð+ðâ
ðŸ+ðŸâ ð+ðâ
42
âMC Samples for ððð â ð²+ð²â ð +ð â/ ð +ð â ð +ð â
⢠Signal MC ð+ðâ â ð(4260) â ðŸðð0 P2GC0
⢠ð+ðâ ð+ðâ
1. ðð0 â ð+ðâ ð+ðâ ; PHSP
2. ðð0 â ð0ð+ðâ ;
3. ðð0 â ð0(980)ð0(980);
⢠ðŸ+ðŸâ ð+ðâ
1.ðð0 â ð²+ð²âð+ðâ ; PHSP
2. ðð0 â ðŸ0â(1430)0ðŸ0
â(1430)0;
3. ðð0 â ðŸ0â(1430)0ðŸ2
â(1430)0+c.c. ;4. ðð0 â ðŸ1(1270)
+ +c.c.;5. ðð0 â ðŸ1(1400)
+ +c.c.;6. ðð0 â ð0(980)ð0(2200);7. ðð0 â ð0(1370)ð0(1710);8. ðð0 â àŽ¥ðŸâ(892)0ðâ ðŸ++c.c.;9. ðð0 â àŽ¥ðŸâ(892)0 ðŸâ (892)0;
43
⢠Initial selection:⢠Charged tracks:
N=4⢠photon :
good photon>=1;⢠PID:
K: Prob(K)>Prob(ð),Prob(K)>0.001ð: Prob(ð)>Prob(ðŸ),Prob(ð)>0.001
⢠Retain the photon with the large energy⢠4C Kinematic fit:
Ï2 < 30 ðð0 â ðŸ+ðŸâ ð+ðâ
Ï2 < 30 ðð0 â ð+ðâ ð+ðâ
â Event Selection
ðð0 â ðŸ+ðŸâ ð+ðâ ðð0 â ð+ðâ ð+ðâ
44
âBackground study in ð²+ð²â ð +ð â mode
⢠background events mainly come from:
1. ð+ðâ â (ð)ðŸðŒðð ðŸ+ðŸâ ð+ðâ;
2. ð+ðâ â ðŸðŒðð ðŸâàŽ¥ðŸâ;
3. ð+ðâ â (ð)ðŸðŒðð ðŸâ ðâðŸâ+c.c.;
4. include ð â ðŸ+ðŸâ background;5. include ðâ² â ðŸð0(ð0 â ð+ðâ)background;6. include ð0 â ð+ðâ background;
⢠For ð â ðŸ+ðŸâ background in M(ðŸ+ðŸâ ð+ðâ)â [3.2,3.6]ïŒ
⢠M(ðŸ+ðŸâ)>1.05 GeV
45
âBackground study in ð²+ð²â ð +ð â mode
⢠ðâ² background in M(ðŸ+ðŸâ ð+ðâ)â [3.2,3.6] :
⢠background events mainly come from:
1. ð+ðâ â (ð)ðŸðŒðð ðŸ+ðŸâ ð+ðâ;
2. ð+ðâ â ðŸðŒðð ðŸâàŽ¥ðŸâ;
3. ð+ðâ â (ð)ðŸðŒðð ðŸâ ðâðŸâ+c.c.;
4. include ð â ðŸ+ðŸâ background;5. include ðâ² â ðŸð0(ð0 â ð+ðâ)background;6. include ð0 â ð+ðâ background;
ðŽ ðžð +ð â > ð. ðð
46
âBackground study in ð +ð â ð +ð â mode
⢠All combinations of ðŸð+ðâ pairs in M(ð+ðâ ð+ðâ)â [3.2,3.6]
⢠M(ðŸð+ðâ_hh)
⢠background events mainly come from: 1. ð+ðâ â (ð)ðŸðŒðð ð
+ðâð+ðâ;2. ð+ðâ â (ð)ðŸðŒðð ð
+ðâð+ðâ;3. include ð0 â ð+ðâ background;4. include ðâ² â ðŸð+ðâ background;
⢠M(ðŸð+ðâ_lh) ⢠M(ðŸð+ðâ_ll)
|M(ðŸð+ðâ)-M(ðâ²)|>0.01GeV
47
âFit to M(ð +ð â ð +ð â) and M(ð+ðâ ð +ð â)
⢠Fit Method: Fit two channel simultaneously;⢠MC shape + 2nd polynomial;
ðð0 â ð+ðâ ð+ðâðð0 â ðŸ+ðŸâ ð+ðâ
48
âFit to M(ð +ð â ð +ð â) and M(ð+ðâ ð +ð â)
⢠Fit Method: Fit two channel simultaneously;⢠MC shape + 2nd polynomial;
ðð0 â ð+ðâ ð+ðâðð0 â ðŸ+ðŸâ ð+ðâ
49
âSystematic uncertainty
⢠The luminosity : measured using Bhabha events, with uncertainty 1.0%;
⢠Tracking efficiency : 1% is assigned to each track, 4% in total ;
⢠branching ratios : 8% for ðð0 â ð+ðâ ð+ðâ, 8% for ðð0 â ð+ðâ ð+ðâ;
⢠PID: ,1.0% per kaon or pion ~ 4%;
⢠Kinematic fit: The difference efficiency between before and after pull correction;
ðð0 â ð+ðâ ð+ðâ ~6%, ðð0 â ð+ðâ ð+ðâ ~2%;Use 4180
⢠Radiative correction:use ð+ðâ â ðŸðð1 line shape, take the difference í â (1 + ð¿)between 2-bw and 3-bw model as systematic uncertainty; ~2.7% ~1%
⢠@4180 Total systematic uncertainty : ðð0 â ð+ðâ ð+ðâ ~11.8% ;ðð0 â ð+ðâ ð+ðâ~10.9%;
50
âUpper Limit
⢠To evaluate the upper limits of cross section at 90% C.L. :Define likelihood fuction:
⢠ð0 is the fixed number of signal events;
⢠ðº ð0, ð0ð is Gauss function, ð is systematic uncertainty ;
⢠The upper limit on the cross section is calculated with following formula:
â(ð0) = නðº ð0, ð0ð â â(ð) ðð
ðððððð¢ð
=ðð¢ð
â â ⬠â ð â (1 + ð¿) â (1 + ð¿ðð)
51
Upper limit @4180
⢠Suppose ð+ðâ â ðŸðð0 follow ð+ðâ â ðŸðð1â² line shape (P19), we generate signal MC samples ;
⢠Similarly, After consider to systematic uncertainty,we give the number of signal upper limit at 90% confidence level:
⢠ðððððð¢ð <2.4pb;
52
âSummary
⢠Using data above ð+ðâ CM energy ~4 GeV, we observed ð+ðâ â ðŸðð1,ð2at 4180, evidence for ð+ðâ â ðŸðð1 at 4009@4190@4200,evidence for ð+ðâ â ðŸðð2 at 4009@4420;
⢠Branch ratio(4180) about â¬(ð+ðâ â ðŸðð1/ ð+ðâ â ðŸðð2)â 0.767â0.242+0.258, there is a big
difference from theoretical prediction about ð(4160) E1 radiative transitions ;
⢠Both ð+ðâ â ðŸðð1 and ð+ðâ â ðŸðð2 show there are a dip around 4230, which might be due to the interference of the Y(4220) resonance;
⢠Using ðð0 â ðŸ+ðŸâ ð+ðâ/ ð+ðâ ð+ðâ ,we don`t observe ð+ðâ â ðŸðð0 signal, upper limit of born cross sections are given;
Thanks!
53
Back Up
54
âMC for ððð â ð²+ð²â ð +ð â/ ð +ð â ð +ð â
⢠Decay cardïŒ
ð +ð â ð +ð â ð²+ð²â ð +ð â
55
Scan data
56
Fit result @4180&4190&4200
ð+ðâ ð+ðâ combine
57
Fit result @4210&4220&4230
ð+ðâ ð+ðâ
combine
58
Fit result @4237&4246&4260
ð+ðâ ð+ðâ combine
59
Fit result @4270&4280&4360
ð+ðâ ð+ðâ combine
60
Fit result @4420&4600
ð+ðâ ð+ðâ
combine
61
â â log ð¿ = 85.116Ndf=6Sig>10
Significance test
⢠ð+ðâ â ðžððð
⢠ð+ðâ â ðžððð
â â log ð¿ = 46.906Ndf=5Sig>10
62
âCompare these two fit methods
⢠â log ð¿ ïŒ2-BW â log ð¿ =165.5 3âBW â log ð¿ =173.8
Canât distinguish these two methods;
⢠For Resonance: Consistent with each other , Also consistent with ð+ ðâ â ð + ð âð±/ð channel;
ParametersïŒMeVïŒ ð+ðâ â ðžððð,ð
M(R2) 4225.6±2.6
Î(R2) 28.5±5.4
2-BW 3-BW
Parameters(MeV) ð+ðâ â ðžððð,ð
M(R1) 4247.2±6.2
Î(R1) 82.5±14.1
ð+ ðâ â ð + ð âð±/ð
63
âMC for ððð â ð²+ð²â ð +ð â/ ð +ð â ð +ð â
⢠Decay cardïŒ
ð +ð â ð +ð â ð²+ð²â ð +ð â