33
!"#$%&"'"()$ +, !" -.+/#0+( #(1 '.2.(3 .( 45#&' 1"6#7$ #) 894: ;//. 8%<)+( +( :"5#/, +, )5" 894: 6+//#:+&#0+( ==>??)5 @"(6+()&"$ 1" A/+.$ B ;//. 8%<)+( C A/+.$ DEBF

0+(*#(1* '.2.(3*.(*45#&'*16#7$*#)*894:* · 2015. 6. 10. · D0 →π+π−π0 Figure 2: Dalitz plot of the (a) resolved, (b) merged and (c) combined D0! ⇡⇡+⇡0 data sample. Enhanced

  • Upload
    others

  • View
    0

  • Download
    0

Embed Size (px)

Citation preview

Page 1: 0+(*#(1* '.2.(3*.(*45#&'*16#7$*#)*894:* · 2015. 6. 10. · D0 →π+π−π0 Figure 2: Dalitz plot of the (a) resolved, (b) merged and (c) combined D0! ⇡⇡+⇡0 data sample. Enhanced

!"#$%&"'"()$*+,*!"*-.+/#0+(*#(1*'.2.(3*.(*45#&'*1"6#7$*#)*894:*

;//.*8%<)+(*+(*:"5#/,*+,*)5"*894:*6+//#:+&#0+(**

==>??)5*@"(6+()&"$*1"*A/+.$*

B*;//.*8%<)+(*C*A/+.$*DEBF*

Page 2: 0+(*#(1* '.2.(3*.(*45#&'*16#7$*#)*894:* · 2015. 6. 10. · D0 →π+π−π0 Figure 2: Dalitz plot of the (a) resolved, (b) merged and (c) combined D0! ⇡⇡+⇡0 data sample. Enhanced

;-"&-."G*

•! 894:*1")"6)+&*•! H.&"6)*!"*-.+/#0+(I*–!!+1"/C.(1"<"(1"()I**–!!+1"/C1"<"(1"()I*****************************!"#$%**

•! ?(1.&"6)*J*0'"C1"<"(1"()*!"#I*–! *****G.)5**********************#(1*

•! K%''#&7*

4&"1.)I*LKMJNMKMO*K#'#()5#*4&.$)+,+&"P*

A! D0 ! ! +! "

D0 ! KS0K ±! !

D0 ! ! +! "! 0

D0 ! K +K "

D*

Q%$)*#*$"/"60+(*+,*&'(')**894:*&"$%/)$O*'#(7*#/&"#17*<%:/.$5"1*#(1*/+)$*'+&"*)+*6+'"R*

;//.*8%<)+(*C*A/+.$*DEBF*

Page 3: 0+(*#(1* '.2.(3*.(*45#&'*16#7$*#)*894:* · 2015. 6. 10. · D0 →π+π−π0 Figure 2: Dalitz plot of the (a) resolved, (b) merged and (c) combined D0! ⇡⇡+⇡0 data sample. Enhanced

894:*1")"6)+&*

S*;//.*8%<)+(*C*A/+.$*DEBF*

Page 4: 0+(*#(1* '.2.(3*.(*45#&'*16#7$*#)*894:* · 2015. 6. 10. · D0 →π+π−π0 Figure 2: Dalitz plot of the (a) resolved, (b) merged and (c) combined D0! ⇡⇡+⇡0 data sample. Enhanced

+'&*',-./(0*/&-

DE*T'*?U*&"$+/%0+(*,+&*5.35*<V*)&#6W$*

X*

12)3425032)3-67'&')8/9-:'*'(*/&;-

L26"//"()*YJZ*$"<#&#0+(* 60./&25'*'&;-

YE*&"6+($)&%60+(R*;//.*8%<)+(*C*A/+.$*DEBF*

Page 5: 0+(*#(1* '.2.(3*.(*45#&'*16#7$*#)*894:* · 2015. 6. 10. · D0 →π+π−π0 Figure 2: Dalitz plot of the (a) resolved, (b) merged and (c) combined D0! ⇡⇡+⇡0 data sample. Enhanced

F*

894:*.$*#*45#&'*,#6)+&7*

�(cc)pT<8GeV/c, 2.0<y<4.5

= 1419± 12 (stat)± 116 (syst)± 65 (frag)µb,[#)*\*V">]*

;[F*2*BEBD]*******<#.&$*<&+1%6"1*1%&.(3*DEBBCBD*.(*894:R**�(cc)

^N%6/"#&*U57$.6$O*K"60+(*A*_\B*[DEBS]O*<<`*BCDEa*

9%3"*$)#0$06$I*894:*5#$*G+&/1C/"#1.(3*$"($.0-.)7*)+*'#(7*45#&'*!"#*+:$"&-#:/"$**8#&3"*:"#'*"("&37*'"#($*H*'"$+($*#&"*5.35/7C:++$)"1b*"26"//"()*,+&*0'"C1"<"(1"()*$)%1."$`*!%65*:"c"&*1"6#7*0'"*&"$+/%0+(*)5#(*)5"*AC,#6)+&."$R*

;//.*8%<)+(*C*A/+.$*DEBF*

Page 6: 0+(*#(1* '.2.(3*.(*45#&'*16#7$*#)*894:* · 2015. 6. 10. · D0 →π+π−π0 Figure 2: Dalitz plot of the (a) resolved, (b) merged and (c) combined D0! ⇡⇡+⇡0 data sample. Enhanced

!"*-.+/#0+(*.(*45#&'*•! K)#(1#&1*!+1"/*<&"1.60+($*#&"*$'#//b*/#&3"*!"*-.+/#0+(*G+%/1*:"*#*$)&+(3*5.()*+,*N"G*U57$.6$*

•! 4+'</"'"()#&7*)+*"("&37C,&+(0"&*$"#&65"$*•! !"*-.+/#0+(*$"#&65"$*6/"#&/7*G#()*)+*)#3*HE*d#-+%&b*#)*894:*G"*1+*)5.$*G.)5*He[DEBE]f*+&*$"'./"<)+(.6*A*'"$+(*1"6#7$*

g*

He[DEBE]f*

HE*

Yh*

Yf*

<*

Yf*$*<*

<*<* iTff*j*k*

Th*

A*HE*

Yf*

Yh*65#&3"*)#3$*HE*d#-+%&*

;//.*8%<)+(*C*A/+.$*DEBF*

Page 7: 0+(*#(1* '.2.(3*.(*45#&'*16#7$*#)*894:* · 2015. 6. 10. · D0 →π+π−π0 Figure 2: Dalitz plot of the (a) resolved, (b) merged and (c) combined D0! ⇡⇡+⇡0 data sample. Enhanced

Direct  CP  viola0on  

•  Today:  0me-­‐integrated  measurements  looking  for  local  asymmetries  in  mul0body  D0  decays  

•  Interes0ng  places  to  search  for  CPV  because  of  interference  effects  in  the  Dalitz  plots  (difficult  though!)  

•  Singly  Cabbibo  suppressed  (SCS)  decays  are  expected  to  be  the  best  places  to  find  direct  CPV  

•  Several  techniques:  full-­‐blown  amplitude  analysis,  binned  (e.g.  “Miranda”)  techniques,  unbinned  metrics,  triple-­‐product  asymmetries,  …  

•  We’ll  see  more  about  the  highlighted  ones…  

|D0 > f|2 != |D0 > f|2 - - - - i.e.

7  Olli  Lupton  -­‐  Blois  2015  

Page 8: 0+(*#(1* '.2.(3*.(*45#&'*16#7$*#)*894:* · 2015. 6. 10. · D0 →π+π−π0 Figure 2: Dalitz plot of the (a) resolved, (b) merged and (c) combined D0! ⇡⇡+⇡0 data sample. Enhanced

D0 → π +π −π 0

Figure 2: Dalitz plot of the (a) resolved, (b) merged and (c) combined D0! ⇡�⇡+⇡0 data sample. Enhancedevent densities in the phase-space corners originate from the ⇢(770) resonances.

weighted average distance of events in one flavoursample to events of the opposite flavour sample. Thenormalisation factors in the denominator remove theimpact of global asymmetries. If the distributionsof events in both flavour samples are identical, Twill fluctuate around a value close to zero.

The metric function should be falling with in-creasing distance dij between events i and j, inorder to increase the sensitivity to local asymme-tries. A Gaussian metric is chosen, defined as ij ⌘ (dij) = e

�d2ij/2�

2

with a tunable param-eter �, which describes the e↵ective radius in phasespace within which a local asymmetry is measured.Thus, this parameter should be larger than the res-olution of dij and small enough not to dilute locallyvarying asymmetries.

The distance between two points in phase space isusually measured as the distance in the Dalitz plot.However, this distance depends on the choice of theaxes of the Dalitz plot. This dependence is removedby using all three invariant masses to determinethe distance, dij , calculated as the length of the

displacement vector �~xij = (m2,j12

� m

2,i12

,m

2,j23

�m

2,i23

,m

2,j13

�m

2,i13

), where the 1, 2, 3 subscripts indi-cate the final-state particles. Using all three invari-ant masses does not add information, but it avoidsan arbitrary choice that could impact the sensitivityof the method to di↵erent CP violation scenarios.

In the case of CP violation, the average distancesentering in the third term of Eq. 1 are larger, which,because of the characteristics of the metric function,leads to a reduced magnitude of this term. There-fore larger CP asymmetries lead to larger valuesof T . This is translated into a p-value under thehypothesis of CP symmetry by comparing the nom-inal T value observed in data to a distribution of T

values obtained from permutation samples, wherethe flavour of each candidate is randomly reassignedto simulate samples without CP violation. The p-value for the no CP violation hypothesis is obtainedas the fraction of permutation T values greater thanthe nominal T value.

A statistical uncertainty of the p-value is obtainedas a binomial standard deviation. If large CP vi-olation is observed, the observed T value is likelyto lie outside the range of permutation T values.In this case the permutation T distribution can befitted with a generalised extreme value (GEV) func-tion, as demonstrated in Refs. [6, 7] and verifiedin large simulation samples for this analysis. TheGEV function is defined as

f(T ;µ, �, ⇠) = N

1 + ⇠

✓T � µ

◆�(�1/⇠)�1

⇥ exp

(�1 + ⇠

✓T � µ

◆��1/⇠), (2)

with normalisation N , location parameter µ, scaleparameter �, and shape parameter ⇠. This functionis set to zero for T > µ � �/⇠ for ⇠ > 0, and forT < µ� �/⇠ for ⇠ < 0. Figure 3 shows an exampleT value distribution with a GEV function fit fora simulated data set including CP violation (seeSec. 5).

The p-value from the fitted T distribution can becalculated as the fraction of the integral of the func-tion above the nominal T value. The uncertaintyon the p-value is obtained by randomly resamplingthe fit parameters within their uncertainties, takinginto account their correlations, and by extracting ap-value for each of these generated T distributions.The spread of the resulting p-value distribution isused to set 68% confidence uncertainties. A 90%

4

Figure 2: Dalitz plot of the (a) resolved, (b) merged and (c) combined D0! ⇡�⇡+⇡0 data sample. Enhancedevent densities in the phase-space corners originate from the ⇢(770) resonances.

weighted average distance of events in one flavoursample to events of the opposite flavour sample. Thenormalisation factors in the denominator remove theimpact of global asymmetries. If the distributionsof events in both flavour samples are identical, Twill fluctuate around a value close to zero.

The metric function should be falling with in-creasing distance dij between events i and j, inorder to increase the sensitivity to local asymme-tries. A Gaussian metric is chosen, defined as ij ⌘ (dij) = e

�d2ij/2�

2

with a tunable param-eter �, which describes the e↵ective radius in phasespace within which a local asymmetry is measured.Thus, this parameter should be larger than the res-olution of dij and small enough not to dilute locallyvarying asymmetries.

The distance between two points in phase space isusually measured as the distance in the Dalitz plot.However, this distance depends on the choice of theaxes of the Dalitz plot. This dependence is removedby using all three invariant masses to determinethe distance, dij , calculated as the length of the

displacement vector �~xij = (m2,j12

� m

2,i12

,m

2,j23

�m

2,i23

,m

2,j13

�m

2,i13

), where the 1, 2, 3 subscripts indi-cate the final-state particles. Using all three invari-ant masses does not add information, but it avoidsan arbitrary choice that could impact the sensitivityof the method to di↵erent CP violation scenarios.

In the case of CP violation, the average distancesentering in the third term of Eq. 1 are larger, which,because of the characteristics of the metric function,leads to a reduced magnitude of this term. There-fore larger CP asymmetries lead to larger valuesof T . This is translated into a p-value under thehypothesis of CP symmetry by comparing the nom-inal T value observed in data to a distribution of T

values obtained from permutation samples, wherethe flavour of each candidate is randomly reassignedto simulate samples without CP violation. The p-value for the no CP violation hypothesis is obtainedas the fraction of permutation T values greater thanthe nominal T value.

A statistical uncertainty of the p-value is obtainedas a binomial standard deviation. If large CP vi-olation is observed, the observed T value is likelyto lie outside the range of permutation T values.In this case the permutation T distribution can befitted with a generalised extreme value (GEV) func-tion, as demonstrated in Refs. [6, 7] and verifiedin large simulation samples for this analysis. TheGEV function is defined as

f(T ;µ, �, ⇠) = N

1 + ⇠

✓T � µ

◆�(�1/⇠)�1

⇥ exp

(�1 + ⇠

✓T � µ

◆��1/⇠), (2)

with normalisation N , location parameter µ, scaleparameter �, and shape parameter ⇠. This functionis set to zero for T > µ � �/⇠ for ⇠ > 0, and forT < µ� �/⇠ for ⇠ < 0. Figure 3 shows an exampleT value distribution with a GEV function fit fora simulated data set including CP violation (seeSec. 5).

The p-value from the fitted T distribution can becalculated as the fraction of the integral of the func-tion above the nominal T value. The uncertaintyon the p-value is obtained by randomly resamplingthe fit parameters within their uncertainties, takinginto account their correlations, and by extracting ap-value for each of these generated T distributions.The spread of the resulting p-value distribution isused to set 68% confidence uncertainties. A 90%

4

ρ(770)+  

ρ(770)−  

ρ(770)0  

~6.6  x  105  candidates  

O(85%)  purity  

Prompt,  D*(2010)+  tagged  D0  decays  

2  x−1,  √s=8  TeV  

π0  reconstructed  using  normal  γγ  decay    Yields  O(10x)  higher  than  B  factories  despite  a  π0  in  the  final  state…  

Phys.  Lec.  B  740  (2015)  158  8  Olli  Lupton  -­‐  Blois  2015  

for the resolved and merged samples. The BDTuses the variables related to the kinematic and topo-logical properties of the signal decays, as well as the⇡

0 quality. It is trained separately for the resolvedand merged data categories. The most discrimi-nating variables in the resolved sample are p

T

(⇡+

s ),p

T

(D0) and p

T

(⇡0), while in the merged samplethese are p

T

(⇡+

s ), pT(D0) and the D

0

2

IP

. The op-timal value of the BDT discriminant is determinedby estimating the D

⇤+ signal significance for var-ious requirements on the BDT output. It retainsapproximately 75% (90%) of the resolved (merged)signal events while removing 90% (55%) of the back-ground. Figure 1 shows the �m distributions forthe selected data set for events with resolved andmerged ⇡

0 candidates. The signal shapes, fittedin Fig. 1 with a sum of three Gaussian functions,significantly di↵er between both samples reflectingthe di↵erent ⇡0 momentum resolutions. The lowermomentum resolution of the merged ⇡0 mesons rel-ative to the resolved ⇡0 mesons makes the core partof the merged signal distribution wider, while thelow-p

T

0 mesons contributing to the resolved signalenlarge its tail component. The background shapeis fitted using a second-order polynomial multipliedby

p1�m⇡+

/�m.The final signal sample is selected requiring

|�m � 145.4| < 1.8MeV/c2, which corresponds toroughly four times the e↵ective �m resolution. Thee↵ective resolution is similar for both resolved andmerged ⇡0 samples when averaging the narrow andbroad components of the peak. This gives 416⇥103

resolved and 247⇥103 merged signal candidates witha purity of 82% and 91%, respectively. The Dalitzplot of the final signal sample is shown in Fig. 2. Thesmaller number of candidates in the low m

2(⇡+

�)region compared with the high m

2(⇡+

�) region isdue to acceptance e↵ects related to the ⇡0 recon-struction as discussed in Sec. 5.

4 Energy test method

Model-independent searches for local CP violationare typically carried out using a binned �2 approachto compare the relative density in the Dalitz plotof a decay and its CP -conjugate sample (see forexample [5, 13]). A model-independent unbinnedstatistical method called the energy test was in-troduced in Refs. [6, 7]. Reference [14] suggestsapplying this method to Dalitz plot analyses anddemonstrates the potential to obtain improved sen-

]2c [MeV/m∆140 145 150 155

)2 cC

andi

date

s / (0

.2 M

eV/

0

20000

40000

60000

80000LHCb(a)

]2c [MeV/m∆140 145 150 155

)2 cC

andi

date

s / (0

.2 M

eV/

0

10000

20000

30000 LHCb(b)

Figure 1: Distribution of �m with fit overlaid for theselected data set with (a) resolved and (b) merged ⇡0

candidates. The lines show the fit results for total signal(dot-dashed red), widest Gaussian signal component(dotted red), background (dashed green), and total (solidblue).

sitivity to CP violation over the standard binnedapproach. This Letter describes the first applicationof this technique to experimental data.In this method a test statistic, T , is used to

compare average distances in phase space, based ona metric function, ij , of pairs of events ij belongingto two samples of opposite flavour. It is defined as

T =nX

i,j>i

ij

n(n� 1)+

nX

i,j>i

ij

n(n� 1)�

n,nX

i,j

ij

nn

, (1)

where the first and second terms correspond to ametric-weighted average distance of events withinn events of one flavour and n events of the oppositeflavour, respectively. The third term measures the

3

Page 9: 0+(*#(1* '.2.(3*.(*45#&'*16#7$*#)*894:* · 2015. 6. 10. · D0 →π+π−π0 Figure 2: Dalitz plot of the (a) resolved, (b) merged and (c) combined D0! ⇡⇡+⇡0 data sample. Enhanced

9  Olli  Lupton  -­‐  Blois  2015  

Local asymmetries are expected to arise, at a levelbelow the current sensitivity, due to the momen-tum dependence of ⇡+

/⇡

� detection asymmetriesin combination with the di↵erent kinematic distri-butions of ⇡+ and ⇡

� in certain regions of phasespace.These e↵ects are tested using the Cabibbo-

favoured decay D

0! K

�⇡

+

0 as a control mode.This channel is a↵ected by kaon detection asym-metries, which are known to be larger than piondetection asymmetries and thus should serve as aconservative test. The data sample is split intoeight subsets, each of which contains approximatelythe same amount of data as the signal sample. Theenergy test yields p-values between 3% and 74%,which is consistent with the assumption that de-tection asymmetries are below the current level ofsensitivity. A further test is conducted by splittingthe control mode data sample by the polarity of thespectrometer dipole magnet, which yields two largeapproximately equal-sized samples. The resultingp-values of 8% and 15% show no evidence of sizablebiases due to detector asymmetries.

6 Results and conclusions

The application of the energy test to all selectedD

0! ⇡

�⇡

+

0 candidates using a metric parameterof � = 0.3GeV2

/c

4 yields T = 1.84 ⇥ 10�6. Thepermutation T value distribution is shown in Fig. 6(a). By counting the fraction of permutations witha T value above the nominal T value in the data, ap-value of (2.6± 0.5)⇥ 10�2 is extracted. Alterna-tively, extrapolation from a fit to the GEV functiongives a p-value of (2.1 ± 0.3) ⇥ 10�2. The signifi-cance levels of the Ti values are shown in Fig. 6 (b).A small phase-space region dominated by the ⇢

+

resonance contains candidates with a local positiveasymmetry exceeding 1� significance. Varying themetric parameter results in the p-values listed inTable 2; all the p-values are at the 10�2 level.

Table 2: Results for various metric parameter values.The p-values are obtained with the counting method.

� [ GeV2

/c

4 ] p-value0.2 (4.6± 0.6)⇥ 10�2

0.3 (2.6± 0.5)⇥ 10�2

0.4 (1.7± 0.4)⇥ 10�2

0.5 (2.1± 0.5)⇥ 10�2

]-6T value [10-2 0 2 4 6

)-8

10×En

tries

/(5

05

1015202530354045

LHCb (a)

Figure 6: (a) Permutation T value distribution showingthe fit function and the measured T value as a red line.(b) Visualisation of local asymmetry significances. Thepositive (negative) asymmetry significance is set for theD0 candidates having positive (negative) contributionto the measured T value, respectively (see Sec.4).

The data sample has been split according to vari-ous criteria to test the stability of the results. Anal-yses of sub-samples with opposite magnet polarity,with di↵erent trigger configurations, and with fidu-cial selection requirements removing areas of highlocal asymmetry of the tagging soft pion from theD

⇤+ decay all show good consistency of the results.In summary, a search for time-integrated CP

violation in the Cabibbo-suppressed decay D

0 !⇡

�⇡

+

0 is performed using a novel unbinned model-independent technique. The analysis has the bestsensitivity from a single experiment to CP violation

8

Expected  no-­‐CPV  distribu0on  obtained  by  repeatedly  randomising  flavour  tags  to  generate  no-­‐CPV  datasets  

“energy  test”  sta0s0c  

Phys.  Lec.  B  740  (2015)  158  J.  Stat.  Comput.  Simul.  75  (2005)  109  Nucl.  Instrum.  Meth.  A537  (2005)  626  Phys.  Rev.  D84  (2011)  054015  

Search  uses  an  unbinned  model-­‐independent  test  sta0s0c  

Calculate  p-­‐value  for  no-­‐CPV  hypothesis  using  this  distribu0on  

Page 10: 0+(*#(1* '.2.(3*.(*45#&'*16#7$*#)*894:* · 2015. 6. 10. · D0 →π+π−π0 Figure 2: Dalitz plot of the (a) resolved, (b) merged and (c) combined D0! ⇡⇡+⇡0 data sample. Enhanced

Local asymmetries are expected to arise, at a levelbelow the current sensitivity, due to the momen-tum dependence of ⇡+

/⇡

� detection asymmetriesin combination with the di↵erent kinematic distri-butions of ⇡+ and ⇡

� in certain regions of phasespace.These e↵ects are tested using the Cabibbo-

favoured decay D

0! K

�⇡

+

0 as a control mode.This channel is a↵ected by kaon detection asym-metries, which are known to be larger than piondetection asymmetries and thus should serve as aconservative test. The data sample is split intoeight subsets, each of which contains approximatelythe same amount of data as the signal sample. Theenergy test yields p-values between 3% and 74%,which is consistent with the assumption that de-tection asymmetries are below the current level ofsensitivity. A further test is conducted by splittingthe control mode data sample by the polarity of thespectrometer dipole magnet, which yields two largeapproximately equal-sized samples. The resultingp-values of 8% and 15% show no evidence of sizablebiases due to detector asymmetries.

6 Results and conclusions

The application of the energy test to all selectedD

0! ⇡

�⇡

+

0 candidates using a metric parameterof � = 0.3GeV2

/c

4 yields T = 1.84 ⇥ 10�6. Thepermutation T value distribution is shown in Fig. 6(a). By counting the fraction of permutations witha T value above the nominal T value in the data, ap-value of (2.6± 0.5)⇥ 10�2 is extracted. Alterna-tively, extrapolation from a fit to the GEV functiongives a p-value of (2.1 ± 0.3) ⇥ 10�2. The signifi-cance levels of the Ti values are shown in Fig. 6 (b).A small phase-space region dominated by the ⇢

+

resonance contains candidates with a local positiveasymmetry exceeding 1� significance. Varying themetric parameter results in the p-values listed inTable 2; all the p-values are at the 10�2 level.

Table 2: Results for various metric parameter values.The p-values are obtained with the counting method.

� [ GeV2

/c

4 ] p-value0.2 (4.6± 0.6)⇥ 10�2

0.3 (2.6± 0.5)⇥ 10�2

0.4 (1.7± 0.4)⇥ 10�2

0.5 (2.1± 0.5)⇥ 10�2

]-6T value [10-2 0 2 4 6

)-8

10×En

tries

/(5

05

1015202530354045

LHCb (a)

Figure 6: (a) Permutation T value distribution showingthe fit function and the measured T value as a red line.(b) Visualisation of local asymmetry significances. Thepositive (negative) asymmetry significance is set for theD0 candidates having positive (negative) contributionto the measured T value, respectively (see Sec.4).

The data sample has been split according to vari-ous criteria to test the stability of the results. Anal-yses of sub-samples with opposite magnet polarity,with di↵erent trigger configurations, and with fidu-cial selection requirements removing areas of highlocal asymmetry of the tagging soft pion from theD

⇤+ decay all show good consistency of the results.In summary, a search for time-integrated CP

violation in the Cabibbo-suppressed decay D

0 !⇡

�⇡

+

0 is performed using a novel unbinned model-independent technique. The analysis has the bestsensitivity from a single experiment to CP violation

8

Local asymmetries are expected to arise, at a levelbelow the current sensitivity, due to the momen-tum dependence of ⇡+

/⇡

� detection asymmetriesin combination with the di↵erent kinematic distri-butions of ⇡+ and ⇡

� in certain regions of phasespace.These e↵ects are tested using the Cabibbo-

favoured decay D

0! K

�⇡

+

0 as a control mode.This channel is a↵ected by kaon detection asym-metries, which are known to be larger than piondetection asymmetries and thus should serve as aconservative test. The data sample is split intoeight subsets, each of which contains approximatelythe same amount of data as the signal sample. Theenergy test yields p-values between 3% and 74%,which is consistent with the assumption that de-tection asymmetries are below the current level ofsensitivity. A further test is conducted by splittingthe control mode data sample by the polarity of thespectrometer dipole magnet, which yields two largeapproximately equal-sized samples. The resultingp-values of 8% and 15% show no evidence of sizablebiases due to detector asymmetries.

6 Results and conclusions

The application of the energy test to all selectedD

0! ⇡

�⇡

+

0 candidates using a metric parameterof � = 0.3GeV2

/c

4 yields T = 1.84 ⇥ 10�6. Thepermutation T value distribution is shown in Fig. 6(a). By counting the fraction of permutations witha T value above the nominal T value in the data, ap-value of (2.6± 0.5)⇥ 10�2 is extracted. Alterna-tively, extrapolation from a fit to the GEV functiongives a p-value of (2.1 ± 0.3) ⇥ 10�2. The signifi-cance levels of the Ti values are shown in Fig. 6 (b).A small phase-space region dominated by the ⇢

+

resonance contains candidates with a local positiveasymmetry exceeding 1� significance. Varying themetric parameter results in the p-values listed inTable 2; all the p-values are at the 10�2 level.

Table 2: Results for various metric parameter values.The p-values are obtained with the counting method.

� [ GeV2

/c

4 ] p-value0.2 (4.6± 0.6)⇥ 10�2

0.3 (2.6± 0.5)⇥ 10�2

0.4 (1.7± 0.4)⇥ 10�2

0.5 (2.1± 0.5)⇥ 10�2

]-6T value [10-2 0 2 4 6

)-8

10×En

tries

/(5

05

1015202530354045

LHCb (a)

Figure 6: (a) Permutation T value distribution showingthe fit function and the measured T value as a red line.(b) Visualisation of local asymmetry significances. Thepositive (negative) asymmetry significance is set for theD0 candidates having positive (negative) contributionto the measured T value, respectively (see Sec.4).

The data sample has been split according to vari-ous criteria to test the stability of the results. Anal-yses of sub-samples with opposite magnet polarity,with di↵erent trigger configurations, and with fidu-cial selection requirements removing areas of highlocal asymmetry of the tagging soft pion from theD

⇤+ decay all show good consistency of the results.In summary, a search for time-integrated CP

violation in the Cabibbo-suppressed decay D

0 !⇡

�⇡

+

0 is performed using a novel unbinned model-independent technique. The analysis has the bestsensitivity from a single experiment to CP violation

8

Measured  value  

Resul0ng  p-­‐value  for  no-­‐CPV:  (2.6±0.5)%  

No  evidence  of  CP  viola=on  (but  world’s  best  precision!)  

Visualisa0on  of  the  local  asymmetry  

10  Olli  Lupton  -­‐  Blois  2015  

Phys.  Lec.  B  740  (2015)  158  J.  Stat.  Comput.  Simul.  75  (2005)  109  Nucl.  Instrum.  Meth.  A537  (2005)  626  Phys.  Rev.  D84  (2011)  054015  

Page 11: 0+(*#(1* '.2.(3*.(*45#&'*16#7$*#)*894:* · 2015. 6. 10. · D0 →π+π−π0 Figure 2: Dalitz plot of the (a) resolved, (b) merged and (c) combined D0! ⇡⇡+⇡0 data sample. Enhanced

Amplitude  analysis  of    D0 → KS0K ±π ∓

Two  more  SCS  D0  decays,  but  a  rather  different  analysis  

•  More  than  a  CPV  search:  isobar  models  (constructed  assuming  CP)  useful  for  future  measurements  of  mixing,  and  the  CP-­‐viola0ng  CKM  angle  γ  

•  Other  interes0ng  tests  come  direct  from  the  models.  •  Here:  remove  CP  assump0on  and  perform  model-­‐

dependent  CPV  search  •  World’s  most  precise  

study;  O(102)  higher  sta0s0cs  than  previous  best  by  CLEO  

11  Olli  Lupton  -­‐  Blois  2015  

NEW  

LHCb-­‐PAPER-­‐2015-­‐026    

140 142 144 146 148 150 152

�m [ MeV/c2 ]

100

101

102

103

104C

andid

ates

/(10

0ke

V/c

2)

LHCb

140 142 144 146 148 150 152

�m [ MeV/c2 ]

100

101

102

103

104

Can

did

ates

/(10

0ke

V/c

2)

LHCb

D0 → KS0K −π + D0 → KS

0K +π −

LHCb preliminary

LHCb preliminary

~113k     ~76k    

3x−1   3x−1  

Page 12: 0+(*#(1* '.2.(3*.(*45#&'*16#7$*#)*894:* · 2015. 6. 10. · D0 →π+π−π0 Figure 2: Dalitz plot of the (a) resolved, (b) merged and (c) combined D0! ⇡⇡+⇡0 data sample. Enhanced

M'</.)%1"*#(#/7$.$*+,**D0 ! KS0K ±! !

0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0

m2K⇡ [ GeV2/c4 ]

0.4

0.6

0.8

1.0

1.2

1.4

1.6

1.8

2.0

m2 K

0 S⇡

[GeV

2 /c4

]

LHCb

0.10.20.30.40.50.60.70.80.91.0

0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0

m2K⇡ [ GeV2/c4 ]

0.4

0.6

0.8

1.0

1.2

1.4

1.6

1.8

2.0

m2 K

0 S⇡

[GeV

2 /c4

]

LHCb

0.10.20.30.40.50.60.70.80.91.0

LHCb preliminary

LHCb preliminary

D0 ! KS0K "! + D0 ! KS

0K +! "

Ze[_}D]~*

Ze[_}D]E*

BD*;//.*8%<)+(*C*A/+.$*DEBF*

"#$-

894:CUMUL@CDEBFCEDg**

Page 13: 0+(*#(1* '.2.(3*.(*45#&'*16#7$*#)*894:* · 2015. 6. 10. · D0 →π+π−π0 Figure 2: Dalitz plot of the (a) resolved, (b) merged and (c) combined D0! ⇡⇡+⇡0 data sample. Enhanced

0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0m2

K⇡ [ GeV2/c4 ]

0

1000

2000

3000

4000

5000

Can

dida

tes

/(0

.025

GeV

2 /c4 )

TotalK⇤(892)+

(K⇡)0S-wave

K⇤(1410)+

K⇤(892)0

(K0S⇡)+S-wave

K⇤(1410)0

a0(980)�

⇢(1450)�

a0(1450)�

a2(1320)�

(K⇡)0S-wave ⇥ K⇤(892)+

K⇤(1410)0 ⇥ K⇤(892)+

(K⇡)0S-wave ⇥ K⇤(1410)+

(K0S⇡)+S-wave ⇥ K⇤(892)+

K⇤(892)+ ⇥ ⇢(1450)�

(K0S⇡)+S-wave ⇥ K

⇤(892)0

(K0S⇡)+S-wave ⇥ (K⇡)0S-wave

K⇤(892)+ ⇥ a0(980)�

RemainderMis-tagCombinatorial

�5

0

5

LHCbD0 ! KS0K "! +

mK!2 <&+�"60+(*

Ze[_}D]~*

$<.(*$)&%6)%&"*Ze[_}D]E*.()"&,"&"$*1"$)&%60-"/7*

H#$5"1*/.("$*#&"*.()"&,"&"(6"*)"&'$*

ZY*&CG#-"*</#7$*#*/#&3"*&+/"*

BE*&"$+(#(6"$*.(*)5.$*'+1"/*

LHCb preliminary

BS*;//.*8%<)+(*C*A/+.$*DEBF*

"#$-

894:CUMUL@CDEBFCEDg**

Page 14: 0+(*#(1* '.2.(3*.(*45#&'*16#7$*#)*894:* · 2015. 6. 10. · D0 →π+π−π0 Figure 2: Dalitz plot of the (a) resolved, (b) merged and (c) combined D0! ⇡⇡+⇡0 data sample. Enhanced

0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0m2

K⇡ [ GeV2/c4 ]

�500

0

500

1000

1500

2000

2500

Can

dida

tes

/(0

.025

GeV

2 /c4 )

TotalK⇤(892)�

a0(980)+

(K⇡)0S-wave

K⇤(892)0

K⇤(1410)�

(K0S⇡)�S-wave

K⇤(1410)0

a0(1450)+

⇢(1700)+

K⇤(892)� ⇥ a0(980)+

K⇤(1410)� ⇥ a0(980)+

(K⇡)0S-wave ⇥ K⇤(1410)�

(K⇡)0S-wave ⇥ K⇤(892)�

(K0S⇡)�S-wave ⇥ K⇤(892)�

(K0S⇡)�S-wave ⇥ a0(980)+

K⇤(1410)0 ⇥ K⇤(892)�

RemainderMis-tagCombinatorial

�5

0

5

LHCb**LHCb preliminary

D0 ! KS0K +! "

mK!2 <&+�"60+(*

Ze[_}D]E*5#$*#*$%:$)#(0#/*'#$$*<"#W*.(*)5.$*'+1"*

}*&"$+(#(6"$*.(*)5.$*'+1"/*

?()"&,"&"(6"*)"&'$*$%<<&"$$*+("*/+:"*+,*)5"*Ze[_}D]~*$<.(*$)&%6)%&"*

BX*;//.*8%<)+(*C*A/+.$*DEBF*

"#$-

894:CUMUL@CDEBFCEDg**

Page 15: 0+(*#(1* '.2.(3*.(*45#&'*16#7$*#)*894:* · 2015. 6. 10. · D0 →π+π−π0 Figure 2: Dalitz plot of the (a) resolved, (b) merged and (c) combined D0! ⇡⇡+⇡0 data sample. Enhanced

0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0

m2K⇡ [ GeV2/c4 ]

0.4

0.6

0.8

1.0

1.2

1.4

1.6

1.8

2.0

m2 K

0 S⇡

[GeV

2 /c4

]

LHCb

10�4

10�3

10�2

10�1

100

0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0

m2K⇡ [ GeV2/c4 ]

0.4

0.6

0.8

1.0

1.2

1.4

1.6

1.8

2.0

m2 K

0 S⇡

[GeV

2 /c4

]

LHCb

10�4

10�3

10�2

10�1

100

0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0

m2K⇡ [ GeV2/c4 ]

0.4

0.6

0.8

1.0

1.2

1.4

1.6

1.8

2.0

m2 K

0 S⇡

[GeV

2 /c4

]

LHCb

�⇡

�3⇡4

�⇡2

�⇡4

0

+⇡4

+⇡2

+3⇡4

+⇡

0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0

m2K⇡ [ GeV2/c4 ]

0.4

0.6

0.8

1.0

1.2

1.4

1.6

1.8

2.0

m2 K

0 S⇡

[GeV

2 /c4

]

LHCb

�⇡

�3⇡4

�⇡2

�⇡4

0

+⇡4

+⇡2

+3⇡4

+⇡

] ]

Figure 17: (Color online) Decay rate and phase variation across the Dalitz plot. The top rowshows |M

K

0SK

±⇡⌥(m2

K

0S⇡,m2

K⇡)|2 in the best GLASS isobar models, the center row shows the phase

behavior of the same models and the bottom row shows the same function subtracted from thephase behavior in the best LASS isobar models. The left column shows the D0 ! K0

SK�⇡+ mode

with D0 ! K0

SK+⇡� on the right. The small features in the bottom row relate to the GLASS and

LASS models preferring slightly di↵erent values of the K⇤(892)± mass and width.

35

D0 ! KS0K "! + D0 ! KS

0K +! "

A 2

arg(A)

LHCb preliminary

LHCb preliminary

LHCb preliminary

LHCb preliminary

BF*;//.*8%<)+(*C*A/+.$*DEBF*

"#$-

894:CUMUL@CDEBFCEDg**

Ä.)*)5.$*)+*"2)&#6)*)5.$*

Page 16: 0+(*#(1* '.2.(3*.(*45#&'*16#7$*#)*894:* · 2015. 6. 10. · D0 →π+π−π0 Figure 2: Dalitz plot of the (a) resolved, (b) merged and (c) combined D0! ⇡⇡+⇡0 data sample. Enhanced

Model-­‐dependent  CPV  results  •  Once  you  have  an  isobar  model    •  Subs0tute  

•  With  the  sign  dependent  on  the  D0  flavour  tag,  and  re-­‐fit  the  models  

•  Perform  χ2  test  w.r.t.  no-­‐CPV  hypothesis  (Δ  =  0)  •  Find  χ2/ndf  =  32.3/32  =  1.01,  p-­‐value  0.45  

A = aReiφR AR

R∑

A = aR (1±ΔaR )ei(φR±ΔφR )AR

R∑

16  Olli  Lupton  -­‐  Blois  2015  

NEW  

LHCb-­‐PAPER-­‐2015-­‐026    

No  evidence  for  CP  viola0on  

Resonance  `lineshape’  

Resonance  amplitude  

Page 17: 0+(*#(1* '.2.(3*.(*45#&'*16#7$*#)*894:* · 2015. 6. 10. · D0 →π+π−π0 Figure 2: Dalitz plot of the (a) resolved, (b) merged and (c) combined D0! ⇡⇡+⇡0 data sample. Enhanced

Indirect  CPV  /  mixing  

•  Time-­‐dependent  CP  asymmetries…  •  Charm  mixing  is  the  only  up-­‐type  system  where  we  can  probe  mixing  and  CPV  

•  Mixing  now  well-­‐established  (helped  by  LHCb  2-­‐body  results  [Phys.  Rev.  Lec.  110,  101802,Phys.  Rev.  Lec.  111,  251801,JHEP  1204  (2012)  129]!)...but  CPV  is  not  

|D0 > D0 > f|2 != |D0 > D0 > f|2 - - - - - - i.e.

17  Olli  Lupton  -­‐  Blois  2015  

Page 18: 0+(*#(1* '.2.(3*.(*45#&'*16#7$*#)*894:* · 2015. 6. 10. · D0 →π+π−π0 Figure 2: Dalitz plot of the (a) resolved, (b) merged and (c) combined D0! ⇡⇡+⇡0 data sample. Enhanced

LHCb  AΓ  results  •  Let’s  see  LHCb’s  most  recent  result:  full  3  x−1  using  D0  tagged  with  semileptonic  B  decays  

•  D0  decays  to  CP  eigenstate:  K+K−  or  π+π−,  and  we  measure  the  0me-­‐dependent  asymmetry  

•  Straight  line  fit  gives  AΓ,  which  is  sensi0ve  to  indirect  CP  viola0on  

J.  High  Energy  Phys.  04  (2015)  043  

1 Introduction

In neutral meson systems, mixing may occur between the particle and anti-particle states.This mixing is very small in the charm-meson (D0) system. Experimentally, a small,non-zero D

0–D0 mixing is now firmly established by several experiments [1–6], where theaverage of these measurements excludes zero mixing at more than 11 standard deviations [7].This opens up the possibility to search for a breaking of the charge-parity (CP ) symmetryoccurring in the D

0–D0 mixing alone or in the interference between the mixing and decayamplitudes. This is called indirect CP violation and the corresponding asymmetry ispredicted to be O(10�4) [8, 9], but can be enhanced in theories beyond the StandardModel [10]. Indirect CP violation can be measured in decays to CP eigenstates such asthe singly Cabibbo-suppressed decays D

0 ! K

�K

+ and D

0 ! ⇡

�⇡

+ (the inclusion ofcharge-conjugate processes is implied hereafter) from the asymmetry between the e↵ectiveD

0 and D

0 lifetimes, A�

. The e↵ective lifetime is the lifetime obtained from a singleexponential fit to the decay-time distribution. Several measurements of A

exist [1, 11, 12].The most precise determination was made by LHCb with data corresponding to 1.0 fb�1

of integrated luminosity, resulting in A

(K�K

+) = (�0.035 ± 0.062 ± 0.012)%, andA

(⇡�⇡

+) = (0.033 ± 0.106 ± 0.014)% [11]. When indirect CP violation is assumed tobe the same in the two modes, the world average becomes A

= (�0.014± 0.052)% [7].In all previous measurements of A

, the initial flavour of the neutral charm meson (i.e.,whether it was a D

0 or D0 state) was determined (tagged) by the charge of the pion ina D

⇤+ ! D

0

+ decay. In this paper, the time-dependent CP asymmetry is measuredin D

0 decays originating from semileptonic b-hadron decays, where the charge of theaccompanying muon is used to tag the flavour of the D

0 meson. These samples aredominated by B

� ! D

0

µ

�⌫

µ

X and B

0 ! D

0

µ

�⌫

µ

X decays, where X denotes otherparticle(s) possibly produced in the decay. The same data samples as for the measurementof time-integrated CP asymmetries [13] are used.

2 Formalism and method

The time-dependent CP asymmetry for a neutral D meson decaying to a CP eigenstate,f , is defined as

A

CP

(t) ⌘ �(D0 ! f ; t)� �(D0 ! f ; t)

�(D0 ! f ; t) + �(D0 ! f ; t), (1)

where �(D0 ! f ; t) and �(D0 ! f ; t) are the time-dependent partial widths of initial D0

and D

0 mesons to final state f . The CP asymmetry can be approximated as [14]

A

CP

(t) ⇡ A

dir

CP

� A

t

, (2)

1

1 Introduction

In neutral meson systems, mixing may occur between the particle and anti-particle states.This mixing is very small in the charm-meson (D0) system. Experimentally, a small,non-zero D

0–D0 mixing is now firmly established by several experiments [1–6], where theaverage of these measurements excludes zero mixing at more than 11 standard deviations [7].This opens up the possibility to search for a breaking of the charge-parity (CP ) symmetryoccurring in the D

0–D0 mixing alone or in the interference between the mixing and decayamplitudes. This is called indirect CP violation and the corresponding asymmetry ispredicted to be O(10�4) [8, 9], but can be enhanced in theories beyond the StandardModel [10]. Indirect CP violation can be measured in decays to CP eigenstates such asthe singly Cabibbo-suppressed decays D

0 ! K

�K

+ and D

0 ! ⇡

�⇡

+ (the inclusion ofcharge-conjugate processes is implied hereafter) from the asymmetry between the e↵ectiveD

0 and D

0 lifetimes, A�

. The e↵ective lifetime is the lifetime obtained from a singleexponential fit to the decay-time distribution. Several measurements of A

exist [1, 11, 12].The most precise determination was made by LHCb with data corresponding to 1.0 fb�1

of integrated luminosity, resulting in A

(K�K

+) = (�0.035 ± 0.062 ± 0.012)%, andA

(⇡�⇡

+) = (0.033 ± 0.106 ± 0.014)% [11]. When indirect CP violation is assumed tobe the same in the two modes, the world average becomes A

= (�0.014± 0.052)% [7].In all previous measurements of A

, the initial flavour of the neutral charm meson (i.e.,whether it was a D

0 or D0 state) was determined (tagged) by the charge of the pion ina D

⇤+ ! D

0

+ decay. In this paper, the time-dependent CP asymmetry is measuredin D

0 decays originating from semileptonic b-hadron decays, where the charge of theaccompanying muon is used to tag the flavour of the D

0 meson. These samples aredominated by B

� ! D

0

µ

�⌫

µ

X and B

0 ! D

0

µ

�⌫

µ

X decays, where X denotes otherparticle(s) possibly produced in the decay. The same data samples as for the measurementof time-integrated CP asymmetries [13] are used.

2 Formalism and method

The time-dependent CP asymmetry for a neutral D meson decaying to a CP eigenstate,f , is defined as

A

CP

(t) ⌘ �(D0 ! f ; t)� �(D0 ! f ; t)

�(D0 ! f ; t) + �(D0 ! f ; t), (1)

where �(D0 ! f ; t) and �(D0 ! f ; t) are the time-dependent partial widths of initial D0

and D

0 mesons to final state f . The CP asymmetry can be approximated as [14]

A

CP

(t) ⇡ A

dir

CP

� A

t

, (2)

1 18  Olli  Lupton  -­‐  Blois  2015  

Page 19: 0+(*#(1* '.2.(3*.(*45#&'*16#7$*#)*894:* · 2015. 6. 10. · D0 →π+π−π0 Figure 2: Dalitz plot of the (a) resolved, (b) merged and (c) combined D0! ⇡⇡+⇡0 data sample. Enhanced

0 1000 2000 3000 4000 5000

[%]

raw

CPA

-5

0

5

10

15 DataLinear fit

bandσ 1±

LHCb+K−K→0D

[fs]t0 1000 2000 3000 4000 5000

Pull

-505

(a)

0 1000 2000 3000 4000 5000

[%]

raw

CPA

-5

0

5

10

15 DataLinear fit

bandσ 1±

LHCb+π−π→0D

[fs]t0 1000 2000 3000 4000 5000

Pull

-505

(b)

0 1000 2000 3000 4000 5000

[%]

raw

CPA

-5

0

5

10

15 DataLinear fit

bandσ 1±

LHCb+π−K→0D

[fs]t0 1000 2000 3000 4000 5000

Pull

-505

(c)

Figure 2: Raw CP asymmetry as function of D0 decay time for (a) D0! K�K+, (b) D0! ⇡�⇡+

and (c) D0! K�⇡+ candidates. The results of the �2 fits are shown as blue, solid lines with the±1 standard-deviation (�) bands indicated by the dashed lines. The green, dashed lines indicateone D0 lifetime (⌧ = 410.1 fs). Underneath each plot the pull in each time bin is shown.

6

50  bins  in  D0  decay  0me,  approx.  op0mised  to  have  equal  sensi0vity   1  τD0  

Typical  resolu0on  O(100fs)  D0  produc0on  asymmetry,  muon  detec0on  asymmetry  etc.  all  contribute  to  non-­‐zero  intercept,  but  only  negligibly  to  AΓ  

[%]ΓA-1 -0.5 0 0.5 1

All 2012

All 2011

Mag. down 2012

Mag. up 2012

Mag. down 2011

Mag. up 2011

LHCb+K−K→0D

(a)

[%]ΓA-1 -0.5 0 0.5 1

All 2012

All 2011

Mag. down 2012

Mag. up 2012

Mag. down 2011

Mag. up 2011

LHCb+π−π→0D

(b)

[%]ΓA-1 -0.5 0 0.5 1

All 2012

All 2011

Mag. down 2012

Mag. up 2012

Mag. down 2011

Mag. up 2011

LHCb+π−K→0D

(c)

Figure 4: Measured values of A�

for di↵erent magnet polarities and data-taking periods for(a) D0 ! K�K+, (b) D0 ! ⇡�⇡+ and (c) D0 ! K�⇡+ decays. The vertical line and errorband indicate the average A

obtained from the combined data set. The error bars indicate thestatistical uncertainty only.

e↵ective lifetimes are measured to be

A

(K�K

+) = (�0.134± 0.077 +0.026

�0.034

)% ,

A

(⇡�⇡

+) = (�0.092± 0.145 +0.025

�0.033

)% ,

where the first uncertainty is statistical and the second systematic. Assuming that indirectCP violation in D

0 decays is universal [10], and accounting for the correlation in thesystematic uncertainties, the average of the two measurements becomes A

= (�0.125±0.073)%. The results in this paper are uncorrelated with the time-integrated asymmetriesreported in Ref. [13]. The results are consistent with other A

measurements [1,11,12], andindependent of the A

measurements [11] from LHCb using D

0 mesons from D

⇤+ ! D

0

+

decays. They are consistent with the hypothesis of no indirect CP violation in D

0! K

�K

+

and D

0! ⇡

�⇡

+ decays.

Acknowledgements

We express our gratitude to our colleagues in the CERN accelerator departments forthe excellent performance of the LHC. We thank the technical and administrative sta↵

10

J.  High  Energy  Phys.  04  (2015)  043  

There  is  also  a  previous  LHCb  result  using  promptly  produced  D0  (2011  only)    [Phys.  Rev.  Lec.  112,  041801]  with  slightly  becer  precision   19  Olli  Lupton  -­‐  Blois  2015  

~2.3M  signal  

~0.8M  π+π−  

(sta0s0cally  limited)  

Page 20: 0+(*#(1* '.2.(3*.(*45#&'*16#7$*#)*894:* · 2015. 6. 10. · D0 →π+π−π0 Figure 2: Dalitz plot of the (a) resolved, (b) merged and (c) combined D0! ⇡⇡+⇡0 data sample. Enhanced

20  

[%]ΓA-0.4 -0.2 0 0.2 0.4

-0.5

8.8

World averageππ→0DLHCb

KK→0DLHCb

ππ→0DLHCb

KK→0DLHCb

ππ→0DCDF

KK→0DCDF

hh→0DBelle

hh→0DBaBar

, muon tagged)1−(3.0 fb

, muon tagged)1−(3.0 fb

, pion tagged)1−(1.0 fb

, pion tagged)1−(1.0 fb

These  are  the  results  we’ve  just  seen  

J.  High  Energy  Phys.  04  (2015)  043  

Olli  Lupton  -­‐  Blois  2015  

Updated  results  coming  soon  

Page 21: 0+(*#(1* '.2.(3*.(*45#&'*16#7$*#)*894:* · 2015. 6. 10. · D0 →π+π−π0 Figure 2: Dalitz plot of the (a) resolved, (b) merged and (c) combined D0! ⇡⇡+⇡0 data sample. Enhanced

Summary  •  Lots  of  ac0vity  in  LHCb  searching  for  CPV  in  Charm  •  Many  different  methods;  have  presented  a  selec0on  with  recent  results.  

•  Complementary  measurements  from  semi-­‐leptonic  B  meson  decays  and  promptly  produced  Charm  

•  Lots  more  Run  1  results  to  come  soon:  3  x−1  prompt  AΓ,  mixing  with                                                      ,    …  

•  …and  Run  2  of  the  LHC  is  just  star0ng,  with  even  higher  charm  produc0on  cross  sec0ons  at  13  TeV  

•  Huge  data  samples;  exci0ng  opportuni0es!  

21  Olli  Lupton  -­‐  Blois  2015  

D0 → KS0π +π −

Page 22: 0+(*#(1* '.2.(3*.(*45#&'*16#7$*#)*894:* · 2015. 6. 10. · D0 →π+π−π0 Figure 2: Dalitz plot of the (a) resolved, (b) merged and (c) combined D0! ⇡⇡+⇡0 data sample. Enhanced

V5#(W$*

4&"1.)I*,&#(6"5"2#3+("`:/+3$<+)`6+`%W*

DD*;//.*8%<)+(*C*A/+.$*DEBF*

Page 23: 0+(*#(1* '.2.(3*.(*45#&'*16#7$*#)*894:* · 2015. 6. 10. · D0 →π+π−π0 Figure 2: Dalitz plot of the (a) resolved, (b) merged and (c) combined D0! ⇡⇡+⇡0 data sample. Enhanced

Backup  

23  Olli  Lupton  -­‐  Blois  2015  

Page 24: 0+(*#(1* '.2.(3*.(*45#&'*16#7$*#)*894:* · 2015. 6. 10. · D0 →π+π−π0 Figure 2: Dalitz plot of the (a) resolved, (b) merged and (c) combined D0! ⇡⇡+⇡0 data sample. Enhanced

The  energy  test  

•  Unbinned  test  sta0s0c:  

•  No  CPV  gives  

for the resolved and merged samples. The BDTuses the variables related to the kinematic and topo-logical properties of the signal decays, as well as the⇡

0 quality. It is trained separately for the resolvedand merged data categories. The most discrimi-nating variables in the resolved sample are p

T

(⇡+

s ),p

T

(D0) and p

T

(⇡0), while in the merged samplethese are p

T

(⇡+

s ), pT(D0) and the D

0

2

IP

. The op-timal value of the BDT discriminant is determinedby estimating the D

⇤+ signal significance for var-ious requirements on the BDT output. It retainsapproximately 75% (90%) of the resolved (merged)signal events while removing 90% (55%) of the back-ground. Figure 1 shows the �m distributions forthe selected data set for events with resolved andmerged ⇡

0 candidates. The signal shapes, fittedin Fig. 1 with a sum of three Gaussian functions,significantly di↵er between both samples reflectingthe di↵erent ⇡0 momentum resolutions. The lowermomentum resolution of the merged ⇡0 mesons rel-ative to the resolved ⇡0 mesons makes the core partof the merged signal distribution wider, while thelow-p

T

0 mesons contributing to the resolved signalenlarge its tail component. The background shapeis fitted using a second-order polynomial multipliedby

p1�m⇡+

/�m.The final signal sample is selected requiring

|�m � 145.4| < 1.8MeV/c2, which corresponds toroughly four times the e↵ective �m resolution. Thee↵ective resolution is similar for both resolved andmerged ⇡0 samples when averaging the narrow andbroad components of the peak. This gives 416⇥103

resolved and 247⇥103 merged signal candidates witha purity of 82% and 91%, respectively. The Dalitzplot of the final signal sample is shown in Fig. 2. Thesmaller number of candidates in the low m

2(⇡+

�)region compared with the high m

2(⇡+

�) region isdue to acceptance e↵ects related to the ⇡0 recon-struction as discussed in Sec. 5.

4 Energy test method

Model-independent searches for local CP violationare typically carried out using a binned �2 approachto compare the relative density in the Dalitz plotof a decay and its CP -conjugate sample (see forexample [5, 13]). A model-independent unbinnedstatistical method called the energy test was in-troduced in Refs. [6, 7]. Reference [14] suggestsapplying this method to Dalitz plot analyses anddemonstrates the potential to obtain improved sen-

]2c [MeV/m∆140 145 150 155

)2 cC

andi

date

s / (0

.2 M

eV/

0

20000

40000

60000

80000LHCb(a)

]2c [MeV/m∆140 145 150 155

)2 cC

andi

date

s / (0

.2 M

eV/

0

10000

20000

30000 LHCb(b)

Figure 1: Distribution of �m with fit overlaid for theselected data set with (a) resolved and (b) merged ⇡0

candidates. The lines show the fit results for total signal(dot-dashed red), widest Gaussian signal component(dotted red), background (dashed green), and total (solidblue).

sitivity to CP violation over the standard binnedapproach. This Letter describes the first applicationof this technique to experimental data.In this method a test statistic, T , is used to

compare average distances in phase space, based ona metric function, ij , of pairs of events ij belongingto two samples of opposite flavour. It is defined as

T =nX

i,j>i

ij

n(n� 1)+

nX

i,j>i

ij

n(n� 1)�

n,nX

i,j

ij

nn

, (1)

where the first and second terms correspond to ametric-weighted average distance of events withinn events of one flavour and n events of the oppositeflavour, respectively. The third term measures the

3

Figure 2: Dalitz plot of the (a) resolved, (b) merged and (c) combined D0! ⇡�⇡+⇡0 data sample. Enhancedevent densities in the phase-space corners originate from the ⇢(770) resonances.

weighted average distance of events in one flavoursample to events of the opposite flavour sample. Thenormalisation factors in the denominator remove theimpact of global asymmetries. If the distributionsof events in both flavour samples are identical, Twill fluctuate around a value close to zero.

The metric function should be falling with in-creasing distance dij between events i and j, inorder to increase the sensitivity to local asymme-tries. A Gaussian metric is chosen, defined as ij ⌘ (dij) = e

�d2ij/2�

2

with a tunable param-eter �, which describes the e↵ective radius in phasespace within which a local asymmetry is measured.Thus, this parameter should be larger than the res-olution of dij and small enough not to dilute locallyvarying asymmetries.

The distance between two points in phase space isusually measured as the distance in the Dalitz plot.However, this distance depends on the choice of theaxes of the Dalitz plot. This dependence is removedby using all three invariant masses to determinethe distance, dij , calculated as the length of the

displacement vector �~xij = (m2,j12

� m

2,i12

,m

2,j23

�m

2,i23

,m

2,j13

�m

2,i13

), where the 1, 2, 3 subscripts indi-cate the final-state particles. Using all three invari-ant masses does not add information, but it avoidsan arbitrary choice that could impact the sensitivityof the method to di↵erent CP violation scenarios.

In the case of CP violation, the average distancesentering in the third term of Eq. 1 are larger, which,because of the characteristics of the metric function,leads to a reduced magnitude of this term. There-fore larger CP asymmetries lead to larger valuesof T . This is translated into a p-value under thehypothesis of CP symmetry by comparing the nom-inal T value observed in data to a distribution of T

values obtained from permutation samples, wherethe flavour of each candidate is randomly reassignedto simulate samples without CP violation. The p-value for the no CP violation hypothesis is obtainedas the fraction of permutation T values greater thanthe nominal T value.

A statistical uncertainty of the p-value is obtainedas a binomial standard deviation. If large CP vi-olation is observed, the observed T value is likelyto lie outside the range of permutation T values.In this case the permutation T distribution can befitted with a generalised extreme value (GEV) func-tion, as demonstrated in Refs. [6, 7] and verifiedin large simulation samples for this analysis. TheGEV function is defined as

f(T ;µ, �, ⇠) = N

1 + ⇠

✓T � µ

◆�(�1/⇠)�1

⇥ exp

(�1 + ⇠

✓T � µ

◆��1/⇠), (2)

with normalisation N , location parameter µ, scaleparameter �, and shape parameter ⇠. This functionis set to zero for T > µ � �/⇠ for ⇠ > 0, and forT < µ� �/⇠ for ⇠ < 0. Figure 3 shows an exampleT value distribution with a GEV function fit fora simulated data set including CP violation (seeSec. 5).

The p-value from the fitted T distribution can becalculated as the fraction of the integral of the func-tion above the nominal T value. The uncertaintyon the p-value is obtained by randomly resamplingthe fit parameters within their uncertainties, takinginto account their correlations, and by extracting ap-value for each of these generated T distributions.The spread of the resulting p-value distribution isused to set 68% confidence uncertainties. A 90%

4

D0↔D0

D0↔D0 D0↔D0

}  }  }  Mean  metric-­‐weighted  distances  between  candidates  in  the  Dalitz  plot.  

dij2 = (Δm

π +π −2 ,Δm

π 0π −2 ,Δm

π +π 02 )

2

Phys.  Lec.  B  740  (2015)  158  J.  Stat.  Comput.  Simul.  75  (2005)  109  Nucl.  Instrum.  Meth.  A537  (2005)  626  Phys.  Rev.  D84  (2011)  054015  

T ≈ 024  Olli  Lupton  -­‐  Blois  2015  

Page 25: 0+(*#(1* '.2.(3*.(*45#&'*16#7$*#)*894:* · 2015. 6. 10. · D0 →π+π−π0 Figure 2: Dalitz plot of the (a) resolved, (b) merged and (c) combined D0! ⇡⇡+⇡0 data sample. Enhanced

Sensi0vity  studies  

Olli  Lupton  -­‐  Blois  2015   25  

]2c) [MeV/−π+π(m500 1000 1500

Effic

ienc

y

00.05

0.10.15

0.20.250.3

0.350.4

0.450.5

-310×

LHCb simulation0πResolved

0πMerged

Combined sample

Figure 5: The selection e�ciency as a function ofm(⇡+⇡�). The e�ciency for the combined sample isfitted with a straight line.

this region is low as the integrated merged ⇡

0 iden-tification e�ciency is lower than for the resolvedsample and decreases after its turn-on as the ⇡

0

momentum increases. This a↵ects in particularthe ⇢

0 resonance, as it lies entirely within the lowacceptance region.

For further studies, the e�ciency, based on the fit-ted curve, is then applied to simplified Monte Carlodata sets by randomly discarding events based onthe candidate’s position in phase space. Backgroundevents are simulated by resampling phase-space dis-tributions extracted from �m sideband regions. In-clusion of the background does not significantlyreduce the sensitivity to the CP violation scenar-ios discussed below. This is due to the low levelof background and due to it being CP symmetricwithin the present sensitivity.

Various CP asymmetries are introduced by modi-fying, for a chosen D

0 flavour, either the amplitudeor the phase of one of the three intermediate ⇢ res-

Table 1: Overview of sensitivities to various CP violationscenarios. �A and �� denote, respectively, change inamplitude and phase of the resonance R.

R (�A, ��) p-value (fit) Upper limit⇢

0 (4%, 0�) 3.3+1.1�3.3 ⇥ 10�4 4.6⇥ 10�4

0 (0%, 3�) 1.5+1.7�1.4 ⇥ 10�3 3.8⇥ 10�3

+ (2%, 0�) 5.0+8.8�3.8 ⇥ 10�6 1.8⇥ 10�5

+ (0%, 1�) 6.3+5.5�3.3 ⇥ 10�4 1.4⇥ 10�3

� (2%, 0�) 2.0+1.3�0.9 ⇥ 10�3 3.9⇥ 10�3

� (0%, 1.5�) 8.9+22

�6.7 ⇥ 10�7 4.2⇥ 10�6

onances dominating the ⇡

�⇡

+

0 phase space. Theresulting sensitivities are shown in Table 1. The p-values, including their statistical uncertainties, areobtained from fits of GEV functions to the T valuedistributions and 90% confidence limits are givenin addition.

The sensitivity is comparable to that of the BaBaranalysis [5] for the ⇢

0 resonance and significantlybetter for the ⇢

+ and ⇢

� resonances. This is ex-pected due to the variation of the selection e�ciencyacross phase space, which disfavours the ⇢

0 region.The sensitivity of the method also depends on the

choice of the metric parameter �. Studies indicategood stability of the measured sensitivity for valuesof � between 0.2 and 0.5GeV2

/c

4, which are wellabove the resolution of the dij and small comparedto the size of the phase space. The value � =0.3GeV2

/c

4 yields the best sensitivity to some ofthe CP violation scenarios studied and was chosen,prior to the data unblinding, as the default value.The optimal � value may vary with di↵erent CP

violation scenarios. Hence the final results are alsoquoted for several values of �.

The standard binned method [13] is also appliedto the simulated data sets. This study shows thatthe energy test provides results compatible with,and equally or more precise than the binned method.There are two main sources of asymmetry that

may degrade or bias the results. One is an asym-metry that may arise from background events andthe other is due to particle detection asymmetriesthat could vary across phase space.

Background asymmetries are tested by applyingthe energy test to events in the upper �m side-band, �m > 150 MeV/c2. No significant asymme-try is found. In addition, simplified simulation datasets are produced by generating signal candidateswithout CP violation and background candidatesaccording to background distributions in data, sepa-rately for D0 and D

0 candidates and thus allowingfor a background-induced asymmetry. These sam-ples show a distribution of p-values consistent withthe absence of any asymmetry. Further tests us-ing a binned approach [13] confirm this conclusion.These are carried out on the �m sideband datasample as well as on background samples obtainedusing the sPlot technique based on the �m fits inFig. 1. Both approaches show no indication of abackground asymmetry. As the background presentin the signal region is found to be CP symmetric,it is simply included in the T value calculation dis-cussed in Sec. 4.

7

Page 26: 0+(*#(1* '.2.(3*.(*45#&'*16#7$*#)*894:* · 2015. 6. 10. · D0 →π+π−π0 Figure 2: Dalitz plot of the (a) resolved, (b) merged and (c) combined D0! ⇡⇡+⇡0 data sample. Enhanced

Olli  Lupton  -­‐  Blois  2015   26  

1°  CP  viola0on  in  the  ρ+  phase   2%  amplitude  CP  viola0on  for  the  ρ+  

Sensi0vity  study  for  the  energy  test  method  

Page 27: 0+(*#(1* '.2.(3*.(*45#&'*16#7$*#)*894:* · 2015. 6. 10. · D0 →π+π−π0 Figure 2: Dalitz plot of the (a) resolved, (b) merged and (c) combined D0! ⇡⇡+⇡0 data sample. Enhanced

Olli  Lupton  -­‐  Blois  2015   27  

A Supplementary material for LHCb-PAPER-2014-054

Figure 6 shows the distribution of p-values for the eight subsamples of the control channel D0! K

�⇡

+

0.This confirms that there is no indication of local asymmetries in these samples.

-valuep0 0.2 0.4 0.6 0.8 1

entri

es /

0.12

5

00.20.40.60.8

11.21.41.61.8

2LHCb

Figure 6: Distribution of p-values for the eight subsamples of the control channel D0! K�⇡+⇡0. The dashed lineindicates the expected distribution.

Figures 7 and 8 show the permutation Ti value distributions and local asymmetry significances fordi↵erent values of the metric parameter � for CP violation scenarios with a 2% amplitude change and a2� phase change of the ⇢

+ resonance, respectively.

9

Cross-­‐check  for  local  asymmetries  in  the  Cabbibo-­‐favoured  control  mode  

Page 28: 0+(*#(1* '.2.(3*.(*45#&'*16#7$*#)*894:* · 2015. 6. 10. · D0 →π+π−π0 Figure 2: Dalitz plot of the (a) resolved, (b) merged and (c) combined D0! ⇡⇡+⇡0 data sample. Enhanced

;//.*8%<)+(*C*A/+.$*DEBF* D_*

0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0m2

K0S⇡

[ GeV2/c4 ]

0

5000

10000

15000

Can

dida

tes

/(0

.025

GeV

2 /c4 )

TotalK⇤(892)+

(K0S⇡)+S-wave

(K⇡)0S-wave

K⇤(1410)+

K⇤(1410)0

a0(980)�

K⇤(892)0

⇢(1450)�

a0(1450)�

a2(1320)�

(K⇡)0S-wave ⇥ K⇤(892)+

K⇤(1410)0 ⇥ K⇤(892)+

K⇤(892)+ ⇥ ⇢(1450)�

K⇤(1410)+ ⇥ K⇤(892)+

(K0S⇡)+S-wave ⇥ K⇤(892)+

K⇤(892)+ ⇥ a0(980)�

(K0S⇡)+S-wave ⇥ (K⇡)0S-wave

K⇤(892)+ ⇥ a0(1450)�

RemainderMis-tagCombinatorial

�5

0

5

LHCb

1.0 1.5 2.0 2.5 3.0m2

K0SK

[ GeV2/c4 ]

�1000

0

1000

2000

3000

4000

5000

6000

7000

Can

dida

tes

/(0

.035

GeV

2 /c4 )

TotalK⇤(892)+

a0(980)�

K⇤(1410)+

(K⇡)0S-wave

(K0S⇡)+S-wave

K⇤(1410)0

⇢(1450)�

K⇤(892)0

a0(1450)�

a2(1320)�

(K0S⇡)+S-wave ⇥ K⇤(892)+

K⇤(1410)+ ⇥ a0(980)�

K⇤(892)+ ⇥ ⇢(1450)�

(K⇡)0S-wave ⇥ K⇤(892)+

K⇤(1410)0 ⇥ a0(980)�

K⇤(1410)0 ⇥ K⇤(892)+

K⇤(1410)+ ⇥ K⇤(1410)0

K⇤(892)+ ⇥ a0(980)�

RemainderMis-tagCombinatorial

�5

0

5

LHCb

LHCb preliminary

LHCb preliminary

;)5"&*<&+�"60+($*,+&**D0 ! KS0K "! +

Page 29: 0+(*#(1* '.2.(3*.(*45#&'*16#7$*#)*894:* · 2015. 6. 10. · D0 →π+π−π0 Figure 2: Dalitz plot of the (a) resolved, (b) merged and (c) combined D0! ⇡⇡+⇡0 data sample. Enhanced

;//.*8%<)+(*C*A/+.$*DEBF* D}*

0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0m2

K0S⇡

[ GeV2/c4 ]

0

1000

2000

3000

4000

5000

6000

Can

dida

tes

/(0

.025

GeV

2 /c4 )

TotalK⇤(892)�

a0(980)+

K⇤(1410)�

(K0S⇡)�S-wave

(K⇡)0S-wave

K⇤(892)0

K⇤(1410)0

a0(1450)+

⇢(1700)+

K⇤(892)� ⇥ a0(980)+

K⇤(1410)� ⇥ K⇤(892)�

K⇤(1410)0 ⇥ K⇤(892)�

(K⇡)0S-wave ⇥ K⇤(892)�

(K0S⇡)�S-wave ⇥ K⇤(892)�

K⇤(892)� ⇥ a0(1450)+

(K0S⇡)�S-wave ⇥ a0(980)+

RemainderMis-tagCombinatorial

�5

0

5

LHCb

1.0 1.5 2.0 2.5 3.0m2

K0SK

[ GeV2/c4 ]

�1000

0

1000

2000

3000

4000

Can

dida

tes

/(0

.035

GeV

2 /c4 )

Totala0(980)+

K⇤(892)�

K⇤(1410)�

(K⇡)0S-wave

(K0S⇡)�S-wave

K⇤(892)0

K⇤(1410)0

a0(1450)+

⇢(1700)+

K⇤(1410)� ⇥ a0(980)+

K⇤(892)� ⇥ a0(980)+

(K0S⇡)�S-wave ⇥ K⇤(892)�

K⇤(1410)� ⇥ K⇤(892)�

(K0S⇡)�S-wave ⇥ a0(980)+

(K⇡)0S-wave ⇥ K⇤(892)�

K⇤(1410)0 ⇥ K⇤(892)�

RemainderMis-tagCombinatorial

�5

0

5

LHCb

LHCb preliminary

LHCb preliminary

;)5"&*<&+�"60+($*,+&**D0 ! KS0K +! "

Page 30: 0+(*#(1* '.2.(3*.(*45#&'*16#7$*#)*894:* · 2015. 6. 10. · D0 →π+π−π0 Figure 2: Dalitz plot of the (a) resolved, (b) merged and (c) combined D0! ⇡⇡+⇡0 data sample. Enhanced

;//.*8%<)+(*C*A/+.$*DEBF* SE*

0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0m2

K⇡ [ GeV2/c4 ]

�1000

0

1000

2000

3000

4000

5000

Can

dida

tes

/(0

.025

GeV

2 /c4 )

TotalK⇤(892)+

K⇤(1410)0

K⇤(892)0

(K⇡)0S-wave

K⇤2(1430)0

(K0S⇡)+S-wave

K⇤(1410)+

⇢(1450)�

a0(1450)�

a2(1320)�

⇢(1700)�

K⇤(1410)0 ⇥ K⇤(892)+

(K⇡)0S-wave ⇥ K⇤(892)+

(K0S⇡)+S-wave ⇥ K

⇤2(1430)0

K⇤(892)+ ⇥ ⇢(1450)�

(K0S⇡)+S-wave ⇥ K⇤(892)+

(K0S⇡)+S-wave ⇥ (K⇡)0S-wave

(K0S⇡)+S-wave ⇥ K

⇤(1410)0

(K0S⇡)+S-wave ⇥ K

⇤(892)0

(K⇡)0S-wave ⇥ K⇤2(1430)0

RemainderMis-tagCombinatorial

�5

0

5

LHCb

0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0m2

K0S⇡

[ GeV2/c4 ]

0

5000

10000

15000

Can

dida

tes

/(0

.025

GeV

2 /c4 )

TotalK⇤(892)+

K⇤(1410)0

(K0S⇡)+S-wave

(K⇡)0S-wave

K⇤2(1430)0

K⇤(1410)+

K⇤(892)0

⇢(1450)�

a0(1450)�

a2(1320)�

⇢(1700)�

(K⇡)0S-wave ⇥ K⇤(892)+

K⇤(1410)0 ⇥ K⇤(892)+

K⇤2(1430)0 ⇥ K⇤(892)+

K⇤(892)+ ⇥ ⇢(1450)�

(K0S⇡)+S-wave ⇥ K

⇤(1410)0

(K0S⇡)+S-wave ⇥ K⇤(892)+

K⇤2(1430)0 ⇥ K

⇤(1410)0

K⇤(892)+ ⇥ a0(1450)�

K⇤(1410)+ ⇥ K⇤(892)+

RemainderMis-tagCombinatorial

�5

0

5

LHCb

1.0 1.5 2.0 2.5 3.0m2

K0SK

[ GeV2/c4 ]

�1000

0

1000

2000

3000

4000

5000

6000

7000

Can

dida

tes

/(0

.035

GeV

2 /c4 )

TotalK⇤(892)+

K⇤(1410)0

(K⇡)0S-wave

(K0S⇡)+S-wave

K⇤(1410)+

K⇤2(1430)0

⇢(1450)�

K⇤(892)0

a0(1450)�

a2(1320)�

⇢(1700)�

(K⇡)0S-wave ⇥ K⇤(892)+

K⇤(1410)0 ⇥ K⇤(892)+

K⇤(1410)+ ⇥ K⇤(1410)0

K⇤2(1430)0 ⇥ K

⇤(1410)0

K⇤(892)+ ⇥ ⇢(1450)�

K⇤2(1430)0 ⇥ K⇤(892)+

(K0S⇡)+S-wave ⇥ K⇤(892)+

(K0S⇡)+S-wave ⇥ K

⇤(1410)0

K⇤(1410)+ ⇥ K⇤(892)+

RemainderMis-tagCombinatorial

�5

0

5

LHCb

LHCb preliminary

LHCb preliminary

LHCb preliminary

M/)"&(#0-"*'+1"/*,+&**D0 ! KS0K "! +

Page 31: 0+(*#(1* '.2.(3*.(*45#&'*16#7$*#)*894:* · 2015. 6. 10. · D0 →π+π−π0 Figure 2: Dalitz plot of the (a) resolved, (b) merged and (c) combined D0! ⇡⇡+⇡0 data sample. Enhanced

;//.*8%<)+(*C*A/+.$*DEBF* SB*

0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0m2

K⇡ [ GeV2/c4 ]

0

500

1000

1500

2000

2500

Can

dida

tes

/(0

.025

GeV

2 /c4 )

TotalK⇤(892)�

K⇤(892)0

a0(980)+

K⇤2(1430)0

(K⇡)0S-wave

K⇤(1410)0

(K0S⇡)�S-wave

K⇤(1410)�

⇢(1450)+

⇢(1700)+

a0(1450)+

K⇤2(1430)0 ⇥ K⇤(892)�

K⇤2(1430)0 ⇥ a0(980)+

(K⇡)0S-wave ⇥ K⇤2(1430)0

(K⇡)0S-wave ⇥ a0(980)+

K⇤(1410)0 ⇥ K⇤(892)�

(K0S⇡)�S-wave ⇥ K⇤(892)�

(K⇡)0S-wave ⇥ K⇤(892)�

(K⇡)0S-wave ⇥ ⇢(1450)+

(K0S⇡)�S-wave ⇥ (K⇡)0S-wave

RemainderMis-tagCombinatorial

�5

0

5

LHCb

1.0 1.5 2.0 2.5 3.0m2

K0SK

[ GeV2/c4 ]

�1000

0

1000

2000

3000

4000

Can

dida

tes

/(0

.035

GeV

2 /c4 )

TotalK⇤(892)�

a0(980)+

(K⇡)0S-wave

K⇤2(1430)0

K⇤(1410)0

K⇤(1410)�

K⇤(892)0

(K0S⇡)�S-wave

⇢(1450)+

⇢(1700)+

a0(1450)+

K⇤(1410)0 ⇥ a0(980)+

K⇤2(1430)0 ⇥ a0(980)+

(K⇡)0S-wave ⇥ a0(980)+

K⇤(892)� ⇥ a0(980)+

K⇤2(1430)0 ⇥ K⇤(892)�

(K⇡)0S-wave ⇥ K⇤(892)�

(K0S⇡)�S-wave ⇥ K⇤(892)�

K⇤2(1430)0 ⇥ K⇤(1410)0

(K⇡)0S-wave ⇥ K⇤(1410)0

RemainderMis-tagCombinatorial

�5

0

5

LHCb

0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0m2

K0S⇡

[ GeV2/c4 ]

�1000

0

1000

2000

3000

4000

5000

6000

Can

dida

tes

/(0

.025

GeV

2 /c4 )

TotalK⇤(892)�

a0(980)+

K⇤2(1430)0

(K⇡)0S-wave

K⇤(1410)0

(K0S⇡)�S-wave

K⇤(892)0

K⇤(1410)�

⇢(1450)+

⇢(1700)+

a0(1450)+

K⇤2(1430)0 ⇥ K⇤(892)�

(K⇡)0S-wave ⇥ K⇤(892)�

K⇤(1410)0 ⇥ K⇤(892)�

K⇤(892)� ⇥ a0(980)+

K⇤2(1430)0 ⇥ K⇤(1410)0

K⇤(892)� ⇥ ⇢(1450)+

(K0S⇡)�S-wave ⇥ K⇤(892)�

K⇤(1410)� ⇥ K⇤(892)�

(K0S⇡)�S-wave ⇥ K⇤

2(1430)0

RemainderMis-tagCombinatorial

�5

0

5

LHCb

LHCb preliminary

LHCb preliminary

LHCb preliminary

M/)"&(#0-"*'+1"/*,+&**D0 ! KS0K +! "

Page 32: 0+(*#(1* '.2.(3*.(*45#&'*16#7$*#)*894:* · 2015. 6. 10. · D0 →π+π−π0 Figure 2: Dalitz plot of the (a) resolved, (b) merged and (c) combined D0! ⇡⇡+⇡0 data sample. Enhanced

AΓ  formalism  

Olli  Lupton  -­‐  Blois  2015   32  

where A

dir

CP

is the direct CP asymmetry and ⌧ is the D

0 lifetime. The linear decay-timedependence is determined by A

, which is formally defined as

A

⌘ �̂D

0 � �̂D

0

�̂D

0 + �̂D

0

, (3)

where �̂ is the e↵ective partial decay rate of an initial D0 or D0 state to the CP eigenstate.Furthermore, A

can be approximated in terms of the D0–D0 mixing parameters, x and y,as [15]

A

⇡ (Amix

CP

/2� A

dir

CP

) y cos�� x sin� , (4)

where A

mix

CP

= |q/p|2 � 1 describes CP violation in D

0–D0 mixing, with q and p thecoe�cients of the transformation from the flavour basis to the mass basis, |D

1,2

i =p|D0i ± q|D0i. The weak phase � describes CP violation in the interference betweenmixing and decay, and is specific to the decay mode. Finally, A

receives a contributionfrom direct CP violation as well [16].

The raw asymmetry is a↵ected by the di↵erent detection e�ciencies for positive andnegative muons, and the di↵erent production rates of D0 and D

0 mesons. These e↵ectsintroduce a shift to the constant term in Eq. (2), but have a negligible e↵ect on themeasurement of A

(see Sect. 6). The decay D

0 ! K

�⇡

+, also flavour-tagged by themuon from a semileptonic b-hadron decay, is used as a control channel. Since this is aCabibbo-favoured decay mode, direct CP violation is expected to be negligible. Moreimportantly, any indirect CP violation is heavily suppressed as the contribution fromdoubly Cabibbo-suppressed D

0! K

+

� decays is small.

3 Detector and simulation

The LHCb detector [17,18] is a single-arm forward spectrometer covering the pseudorapidityrange 2 < ⌘ < 5, designed for the study of particles containing b or c quarks. The detectorincludes a high-precision tracking system consisting of a silicon-strip vertex detectorsurrounding the pp interaction region, a large-area silicon-strip detector located upstreamof a dipole magnet with a bending power of about 4Tm, and three stations of silicon-stripdetectors and straw drift tubes placed downstream of the magnet. The polarity of themagnetic field is regularly reversed during data taking. The tracking system provides ameasurement of momentum, p, with a relative uncertainty that varies from 0.5% at lowmomentum to 1.0% at 200GeV/c. The minimum distance of a track to a primary vertex,the impact parameter, is measured with a resolution of (15 + 29/p

T

)µm, where p

T

isthe component of the momentum transverse to the beam, in GeV/c. Di↵erent types ofcharged hadrons are distinguished using information from two ring-imaging Cherenkovdetectors. Photon, electron and hadron candidates are identified by a calorimeter systemconsisting of scintillating-pad and preshower detectors, an electromagnetic calorimeter anda hadronic calorimeter. Muons are identified by a system composed of alternating layers

2

where A

dir

CP

is the direct CP asymmetry and ⌧ is the D

0 lifetime. The linear decay-timedependence is determined by A

, which is formally defined as

A

⌘ �̂D

0 � �̂D

0

�̂D

0 + �̂D

0

, (3)

where �̂ is the e↵ective partial decay rate of an initial D0 or D0 state to the CP eigenstate.Furthermore, A

can be approximated in terms of the D0–D0 mixing parameters, x and y,as [15]

A

⇡ (Amix

CP

/2� A

dir

CP

) y cos�� x sin� , (4)

where A

mix

CP

= |q/p|2 � 1 describes CP violation in D

0–D0 mixing, with q and p thecoe�cients of the transformation from the flavour basis to the mass basis, |D

1,2

i =p|D0i ± q|D0i. The weak phase � describes CP violation in the interference betweenmixing and decay, and is specific to the decay mode. Finally, A

receives a contributionfrom direct CP violation as well [16].

The raw asymmetry is a↵ected by the di↵erent detection e�ciencies for positive andnegative muons, and the di↵erent production rates of D0 and D

0 mesons. These e↵ectsintroduce a shift to the constant term in Eq. (2), but have a negligible e↵ect on themeasurement of A

(see Sect. 6). The decay D

0 ! K

�⇡

+, also flavour-tagged by themuon from a semileptonic b-hadron decay, is used as a control channel. Since this is aCabibbo-favoured decay mode, direct CP violation is expected to be negligible. Moreimportantly, any indirect CP violation is heavily suppressed as the contribution fromdoubly Cabibbo-suppressed D

0! K

+

� decays is small.

3 Detector and simulation

The LHCb detector [17,18] is a single-arm forward spectrometer covering the pseudorapidityrange 2 < ⌘ < 5, designed for the study of particles containing b or c quarks. The detectorincludes a high-precision tracking system consisting of a silicon-strip vertex detectorsurrounding the pp interaction region, a large-area silicon-strip detector located upstreamof a dipole magnet with a bending power of about 4Tm, and three stations of silicon-stripdetectors and straw drift tubes placed downstream of the magnet. The polarity of themagnetic field is regularly reversed during data taking. The tracking system provides ameasurement of momentum, p, with a relative uncertainty that varies from 0.5% at lowmomentum to 1.0% at 200GeV/c. The minimum distance of a track to a primary vertex,the impact parameter, is measured with a resolution of (15 + 29/p

T

)µm, where p

T

isthe component of the momentum transverse to the beam, in GeV/c. Di↵erent types ofcharged hadrons are distinguished using information from two ring-imaging Cherenkovdetectors. Photon, electron and hadron candidates are identified by a calorimeter systemconsisting of scintillating-pad and preshower detectors, an electromagnetic calorimeter anda hadronic calorimeter. Muons are identified by a system composed of alternating layers

2

weak  phase  (decay  mode  specific)  

describes  interference  between  mixing  and  decay  

D0  mixing  parameters  

where A

dir

CP

is the direct CP asymmetry and ⌧ is the D

0 lifetime. The linear decay-timedependence is determined by A

, which is formally defined as

A

⌘ �̂D

0 � �̂D

0

�̂D

0 + �̂D

0

, (3)

where �̂ is the e↵ective partial decay rate of an initial D0 or D0 state to the CP eigenstate.Furthermore, A

can be approximated in terms of the D0–D0 mixing parameters, x and y,as [15]

A

⇡ (Amix

CP

/2� A

dir

CP

) y cos�� x sin� , (4)

where A

mix

CP

= |q/p|2 � 1 describes CP violation in D

0–D0 mixing, with q and p thecoe�cients of the transformation from the flavour basis to the mass basis, |D

1,2

i =p|D0i ± q|D0i. The weak phase � describes CP violation in the interference betweenmixing and decay, and is specific to the decay mode. Finally, A

receives a contributionfrom direct CP violation as well [16].

The raw asymmetry is a↵ected by the di↵erent detection e�ciencies for positive andnegative muons, and the di↵erent production rates of D0 and D

0 mesons. These e↵ectsintroduce a shift to the constant term in Eq. (2), but have a negligible e↵ect on themeasurement of A

(see Sect. 6). The decay D

0 ! K

�⇡

+, also flavour-tagged by themuon from a semileptonic b-hadron decay, is used as a control channel. Since this is aCabibbo-favoured decay mode, direct CP violation is expected to be negligible. Moreimportantly, any indirect CP violation is heavily suppressed as the contribution fromdoubly Cabibbo-suppressed D

0! K

+

� decays is small.

3 Detector and simulation

The LHCb detector [17,18] is a single-arm forward spectrometer covering the pseudorapidityrange 2 < ⌘ < 5, designed for the study of particles containing b or c quarks. The detectorincludes a high-precision tracking system consisting of a silicon-strip vertex detectorsurrounding the pp interaction region, a large-area silicon-strip detector located upstreamof a dipole magnet with a bending power of about 4Tm, and three stations of silicon-stripdetectors and straw drift tubes placed downstream of the magnet. The polarity of themagnetic field is regularly reversed during data taking. The tracking system provides ameasurement of momentum, p, with a relative uncertainty that varies from 0.5% at lowmomentum to 1.0% at 200GeV/c. The minimum distance of a track to a primary vertex,the impact parameter, is measured with a resolution of (15 + 29/p

T

)µm, where p

T

isthe component of the momentum transverse to the beam, in GeV/c. Di↵erent types ofcharged hadrons are distinguished using information from two ring-imaging Cherenkovdetectors. Photon, electron and hadron candidates are identified by a calorimeter systemconsisting of scintillating-pad and preshower detectors, an electromagnetic calorimeter anda hadronic calorimeter. Muons are identified by a system composed of alternating layers

2

Page 33: 0+(*#(1* '.2.(3*.(*45#&'*16#7$*#)*894:* · 2015. 6. 10. · D0 →π+π−π0 Figure 2: Dalitz plot of the (a) resolved, (b) merged and (c) combined D0! ⇡⇡+⇡0 data sample. Enhanced

AΓ  systema0c  uncertain0es  

Olli  Lupton  -­‐  Blois  2015   33  

Table 1: Contributions to the systematic uncertainty of A�

(K�K+) and A�

(⇡�⇡+). The constantand multiplicative scale uncertainties are given separately.

Source of uncertainty D

0! K

�K

+

D

0! ⇡

�⇡

+

constant scale constant scaleMistag probability 0.006% 0.05 0.008% 0.05Mistag asymmetry 0.016% 0.016%Time-dependent e�ciency 0.010% 0.010%Detection and production asymmetries 0.010% 0.010%D

0 mass fit model 0.011% 0.007%D

0 decay-time resolution 0.09 0.07B

0–B0 mixing 0.007% 0.007%Quadratic sum 0.026% 0.10 0.025% 0.09

6 Systematic uncertainties and consistency checks

The contributions to the systematic uncertainty on A

are listed in Table 1. The largestcontribution is due to the background coming from random combinations of muons andD

0 mesons. When the muon has the wrong charge compared to the real D0 flavour, thisis called a mistag. The mistag probability (!) dilutes the observed asymmetry by a factor(1� 2!). This mistag probability is measured using D

0! K

�⇡

+ decays, exploiting thefact that the final state determines the flavour of the D

0 meson, except for an expectedtime-dependent wrong-sign fraction due to D

0–D0 mixing and doubly Cabibbo-suppresseddecays. The mistag probability before correcting for wrong-sign decays is shown in Fig. 3.After subtracting the (time-dependent) wrong-sign ratio [3], the mistag probability asfunction of D0 decay time is obtained. The mistag probability is small, with an averagearound 1%, but it is steeply increasing, reaching 5% at five D0 lifetimes. This is due to theincrease of the background fraction from real D0 mesons from b-hadron decays combinedwith a muon from the opposite-side b-hadron decay. This random-muon background isreconstructed with an apparently longer lifetime. The time-dependent mistag probabilityis parameterised by an exponential function, which is used to determine the shift in A

.The systematic uncertainty from this time-dependent mistag probability is 0.006% forthe D

0 ! K

�K

+ and 0.008% for the D

0 ! ⇡

�⇡

+ decay mode, with a supplementary,multiplicative scale uncertainty of 0.05 for both decay modes.

The mistag probabilities can potentially di↵er between positive and negative muons.Such a mistag asymmetry would give a direct contribution to the observed asymmetry.The slope of the mistag asymmetry is also obtained from D

0! K

�⇡

+ decays. This slopeis consistent with no time dependence, and its statistical uncertainty (0.016%) is includedin the systematic uncertainty on A

.The selection of signal candidates, in particular the topological software trigger, is

known to introduce a bias in the observed lifetime. Such a bias could be charge dependent,

7