Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 1...

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Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 1 ● 03:44:44 PM

Aart HeijboerUniversity of Pennsylvania

previous result: PRL 97, 062003 (2006)current result: PRL 97, 242003 (2006)

PRD in preparation

outline: motivation what do we look for / previous results the measurement and how we improved it the observation

Observation of Bs oscillations at CDF

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 2 ● 03:44:44 PM

Introduction & motivation

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 3 ● 03:44:44 PM

What do we measure?There is a diagram which allows a B

s meson to

transform into its own anti-particle

time

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 4 ● 03:44:44 PM

mass difference

MH = M + M/2

ML = M - M/2

Because of a coupling between the two states, we get: two separate mass eigenstates oscillation between B

s and B

s

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 5 ● 03:44:44 PM

classical version

test

Energy eigenstates (normal modes)

time

By measuring the frequency,we are measuring the strength

of the coupling

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 6 ● 03:44:44 PM

motivation

)(

1)1(

2/1

)(2/14

23

22

32

O

AiA

A

iA

VVV

VVV

VVV

V

tbts

cbcscd

ubusud

CKM

td

most uncertain parametersand

To get at Vtd: measure m

d (B

d oscillations)

hard to calculate (lattice QCD). uncertainty: 10%

1.210.05

q=s or d

If we measure ms, we

can form the ratio whichallows for much more accuratemeasurement of V

ts/V

td(hep-lat/0510113)

pretty wellknown

parameterization assuming unitarity

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 7 ● 03:44:44 PM

motivation

2005 Limit on ms was

already helping to measureCKM matrix...

Plot Combines many different measurements to constrain and .

Check that all measurementsare consistent: i.e. that CKMmatrix is unitary.

Vtd=A3(1--i)

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 8 ● 03:44:44 PM

motivation

Effect of measuring ms to

the level of a few %=> shrinking the orange band

Plot Combines many different measurements to constrain and .

Check that all measurementsare consistent: i.e. that CKMmatrix is unitary.

Vtd=A3(1--i)

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 9 ● 03:44:44 PM

motivation

Effect of measuring ms to

the level of a few %=> shrinking the orange band

Plot Combines many different measurements to constrain and .

Check that all measurementsare consistent: i.e. that CKMmatrix is unitary.

Vtd=A3(1--i)

Turn the argument around: standard model prediction:

Go measure if SM is right. If the answer is no.....

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 10 ● 03:44:44 PM

motivation: new physics

New particles can enhance the Bs B

s transition

harnik et al. hep-ph/0212180

supersymmetry with largemixing between squarks

ms is sensitive to new physics

Phys.Lett.B596:229-239,2004

Z'

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 11 ● 03:44:44 PM

history

UA1 resultPLB 186 (1997) 247

1987 UA1: neutral B-mesons mix Argus measures fraction of B

d mesons

that mix (~18%) => ~half of the Bs mesons must mix => ms is large compared to the decay time => need to resolve rapid oscillations: hard!

=1

1+ (m)-2

1

2

fraction of mixed events

Bs case:=0.5 -> no handleon ms

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 12 ● 03:44:44 PM

time

How do we look for mixing?

Make a Bs meson and measure

its flavor when it decays Identify the flavor at production (tagging) Look at oscillation probability vs proper

decay time.

B s/B

s

time

Fourier component of asymmetry:Mixing amplitude

asymmetry=N

unminx-N

mix/N

mixing frequency

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 13 ● 03:44:44 PM

history-II: looking for oscillations

LEP, SLD, CDF RUN-Ihave tried, but have not seen a convincingsignal: lower limits on m

s

2005 world average:compatible with mixingbut not significant enough

We know Bs mixes, now try tosearch for the right frequency m

s

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 14 ● 03:44:44 PM

history: recent results

D0 resultlarge amplitude around m

s = 19 ps-1

CDF's previous resultamplitude compatible with 1 around 17.3

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 15 ● 03:44:44 PM

history: recent results

D0 result A double sided 90% confidence

level interval. (17-20 ps-1) p-value = 5% (now 8%)

CDF's previous result p-value = 0.2% (3) linguistics “under the assumption that

this is signal, we measure:”

When are we sure we are not seeing a fluctuation?convention: 5: p-value = 5.7 x 10-7 => ~no doubt => publish “Observation”

PRL 97, 062003 (2006)

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 16 ● 03:44:44 PM

Upgrading the analysis

signal selectionuse neural networkuse particle-ID on kaon-candidatesadd partially reconstructed decaysadd some trigger paths

taggingkinematic information same side taggercombine opposite side taggers optimally

Previous analysis had: precise measurement of ms, but the significance

was not enough (0.2%).Goal for new analysis: remove all doubt and go for the conclusive, final, 'Observation'reblind the analysis & improve until we have a chance to see 5

most likely

contain 90% ofexperiments

previousresult

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 17 ● 03:44:44 PM

1) Getting the signals

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 18 ● 03:44:44 PM

The Tevatron

1.2 fb-1 collected,1 fb-1 in 'good' runs

~2/3 of the datacollected in 2005

no new data added since previous result

both are 1 fb-1

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 19 ● 03:44:44 PM

The CDF detector

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 20 ● 03:44:44 PM

The CDF detector

momentum &dE/dx

decaytime

PID

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 21 ● 03:44:44 PM

The signals we are looking for

lss lDB 0

0sB

sD

W

b cl

s

l

s

Semileptonic

0sB

sD

W

b cd

s

u

s

Hadronic

ss DB0

Bs Momentum is measured

Bs mass used for good S/N

Small branching ratio: low yield

Missing momentum ()Need to rely on D

s mass

Large branching ratio: high yield

Bs /Bs

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 22 ● 03:44:44 PM

A typical B event at a hadron collider

=> look for displaced tracks

Trigger on events with twodisplaced (d>120 m) tracks

dvery fast reconstruction of

silicon data at L2 (20s latency) by dedicated hardware: SVT

cdf

d ()

Displaced track trigger

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 23 ● 03:44:44 PM

Hadronic signals

Added partially reconstructed modesin the Ds-> mode.

Bs/B

s

undetected particles have smallmomentum => decay is

almost fully reconstructed

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 24 ● 03:44:44 PM

Hadronic signals

reflection of less severe because we checkthat the PID of the kaon. Allows looser veto based onM

KK - MD+

Added one new decay modeB

s -> six pions

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 25 ● 03:44:44 PM

hadronic signal selection

signal selection previously doneusing cuts on kinematic variables,vertex displacement, fit quality....

select signal using NNinputs: O(30) variables includingall of the above & P

T of tracks,

Ds's 's, K*, PID

particle-ID likelihoodsuse measurement of time-of-flightand dE/dx in the COT to distinguishkaons from pions.

careful to make sure NN is not trained to select mass. (e.g. R notused as input variable)

gain signal lose onlybackground

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 26 ● 03:44:44 PM

hadronic yields

8700 signal events (was 3700)improved S/B too

equivalent to an increase in sample size of a factor 2.5

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 27 ● 03:44:44 PM

Semileptonic signals

improvements: using particle ID to identify kaons

reduces combinatorial backgroundeliminates need for explicit D+ rejection

62k Bs signal events(was 37k)

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 28 ● 03:44:44 PM

Proper decay time and resolution

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 29 ● 03:44:44 PM

Proper time reconstruction: hadronic

Bs/B

s

L xy

piece of cake!

Bs mass from the PDG, PT from adding up the moment of all the decay tracks

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 30 ● 03:44:44 PM

Proper time: semileptonic

Bs/B

s

L xy

● k-factor PDF obtained from Monte Carlo● Take advantage of variation with l D

s mass.

● high mlDs

means small missing pT)

● can not measure pT for semileptonic

● large uncertainty in ct for high Lxy● correct for missing p

T on average:

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 31 ● 03:44:44 PM

Proper time resolution

Effect of non-zero ct error asymmetry: attenuation of the oscillation

Smearing of decay time causes attenuation of asymmetry signal: Have to know

ct to measure the mixing amplitude

How to measure ct?

2

2

)( t

t

m

eD

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 32 ● 03:44:44 PM

Measuring the proper time resolution

Cannot measure the ct resolutiondirectly on data (no prompt peak in theB

s signal due to trigger)

Solution: construct events that look like a B but are known to come from the PV..

real D

some pionfrom the underlyingevent (i.e. from PV)

True <ct> must be zero; compare errorwith predicted error from the vertex fit.

And study dependence on kinematicvariables, isolation, 2 of fit etc..

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 33 ● 03:44:44 PM

proper time resolution

period for ms = 18 ps-1

● partially reconstructed hadronic almost as good as the fully rec.● time resolution = ¼ oscillation period

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 34 ● 03:44:44 PM

3) Flavour tagging

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 35 ● 03:44:44 PM

Flavor tagging

Bs/B

s

L xy

We need to know the flavor of the Bs at production.

Opposite side tag:look at the decay products of the other b quark in the event:

LeptonKaonCharge of the b-'jet'

the two b quarks fragment independently: can calibrate opposite side taggers with B

d & B

uother B often outside acceptance

Same side kaon tag: look at particles produced in B meson formation (K in case of Bs)

Very powerful (high acceptance)but cannot calibrate on B

d & B

uNeed to rely on MC

K

e/K

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 36 ● 03:44:44 PM

A tagger is characterized by: efficiencyD: dilution = 1-2 x mistag rate (large dilution is good)

Dampens asymmetry: Effective statistical power / figure of merit = D2

x D

We must know what D is to measure A

D<1 dampens the oscillation signal

Flavor tagging II

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 37 ● 03:44:44 PM

OST: improvementprevious analysis:

In case multiple tagger gave a decision, used the best onenew analysis

combine all tagger decision, per-event predicted dilutions and kinematicvariables into a single Neural Network, producing tag decision & dilution.

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 38 ● 03:44:44 PM

●Fragmentation into Bs tends to

produce an additional kaon.●Charge of K identifies B

s flavor at production

●B0 and B+ mostly accompanied by pions●Use combined likelihood from time-of-flight detector and dE/dx in COT identify Kaons

Same side kaon tagging

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 39 ● 03:44:44 PM

Same side kaon tagging

tagger not optimized for these modes, but valuable checkthat MC predicts the right dilution

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 40 ● 03:44:44 PM

Same side kaon: improvementsSame side kaon: improvements

Previously based only on particle IDKinematic variables can also be used for

for selecting the tagging trackCombine in Neural network

PID likelihood, R, pT p

Trel, p

Lrel,...

improvement in D2 based on predicted dilutions for events: semileptonic data: +8% hadronic data : +0% monte carlo : +6%

40

1.8%OST

3.7(4.8)%

D2

SST

Tag

final tagger performance

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 41 ● 03:44:44 PM

Blind Amplitude Scan

(July 25)

With all the improvements:

A < 0.2 → good chance of seeing 5.

unblind!

(old value: 0.28)

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 42 ● 03:44:44 PM

Results

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 43 ● 03:44:44 PM

Results

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 44 ● 03:44:44 PM

Results

depth of likelihood dip=-17.26

what is the significance of such a dip?

old value

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 45 ● 03:44:44 PM

significance

“Observation”

Randomize the tagger decisions of the data events and repeat the likelihood scanmany many, many, many, many, many, many, many, many, many, many, many, many, many, many, many, many, many, many, many, many, many, many times

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 46 ● 03:44:44 PM

comparing taggers

Opposite side tagger Same side kaon tagger

Both taggers see the oscillations

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 47 ● 03:44:44 PM

Comparing datasetspartially reconstructed hadronic modes

semileptonic modes

fully reconstructed hadronic modes

all see the signal!

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 48 ● 03:44:44 PM

measurement of ms and |V

td|/|V

ts|

uncertainty of length scale ofdetector

limited by theoryerror

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 49 ● 03:44:44 PM

asymmetry

mtPPPP

Amixumix

mixumix cos

asymmetry

time

stack all oscillation periods on top of each otherand fit for A in bins of proper decay time...

data are well described by theexpected cosine curve.

hadronic data only

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 50 ● 03:44:44 PM

asymmetry

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 51 ● 03:44:44 PM

conclusions

We have 'Observed' Bs mixing p-value = 8x10-8, significance is 5.4

We measure

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 52 ● 03:44:44 PM

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 53 ● 03:44:44 PM

World average back in 1999justforfun

Abbaneo & Boix: JHEP 08(1999)004“p-value = 3%”

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 54 ● 03:44:44 PM

all data before 2004LEP + SLD

World average before Tevatron run II

Amplitude scan: fix ms and measure the amplitude

of the corresponding frequency component (Fourier)

Recent D0 result● 17 <ms <21 ps-1 at 90% CL● p-value = 5%

previous results

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 55 ● 03:44:44 PM

likelihood and amplitude scan

Amplitude: quantity constructed so thatA=1 if the data (i.e. the likelihood) consistent with mixingA=0 everywhere else

Amplitude is 'easy' to understand, but we use thelikelihood to make the measurement, namely:

signatureof a signal

signatureof a signal

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 56 ● 03:44:44 PM

●resolution ~ 100 ps●separates kaons from pions up to 1.5 GeV●crucial for SSKT

Time of flight detector

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 57 ● 03:44:44 PM

Expected CDF Sensitivity

With L00

Without L00

95% CL sensitivity

3 sensitivity

ms

A

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 58 ● 03:44:44 PM

cdf-II error at 15.0/ps : 0.2

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 59 ● 03:44:44 PM

likelihood definition

the probability to measure an event as (un)mixed as a function of the measured decay time:

the probability that an event mixes (does not mix)as a function of the true decay time:

goodness of flavortagger (dilution)

time resolution

(sketch of)

-log likelihood of all events:

If the data are compatible with oscillations, -log(L) has a dip at the right value of ms

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 60 ● 03:44:44 PM

The big questions

How accurately can we measure ms?

determined by shape of the likelihood at minimum How sure are we that what we are seeing is

not just a random fluctuation?formally: What is the probability that an apparent signal at least as significant as the one we see in data would occur at any value of m

s in case there is no signal in reality?

probability that a dipso deep would come

from random fluctuation= 0.2 %

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 61 ● 03:44:44 PM

Opposite side taggers

Measure opposite side tagger dilutions Simultaneous fit to lD+, lD0

and lD* modes

DSeB

tmDSeBt

dt

1:

)cos(1:/

/0

predicteddilution

dilutionscale factor

Dilution predicted onevent-by-event basis(based on P

Trel, lepton-id

etc).

how to check/calibratethe prediction is correct?

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 62 ● 03:44:44 PM

Amplitude scan in sideband

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 63 ● 03:44:44 PM

A nice event

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 64 ● 03:44:44 PM

systematics on amplitude

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 65 ● 03:44:44 PM

systematics on ms

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 66 ● 03:44:44 PM

likelihood definition

the probability to measure an event as (un)mixed as a function of the measured decay time:

the probability that an event mixes (does not mix)as a function of the true decay time:

goodness of flavortagger (dilution)

time resolution

(sketch of)

-log likelihood of all events:

If the data are compatible with oscillations, -log(L) has a dip at the right value of ms

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 67 ● 03:44:44 PM

and cpv

0.000

0.020

0.040

0.060

0.080

0.100

0.120

0.140

0.160

0 1 2 3 4 5 6

Int Luminosity

DG/G stat. Err. a

DG/G (J/psi phi)

DG/G (BsKK)

DG/G (BsKK) +SVT imp

0

0 .1

0 .2

0 .3

0 .4

0 .5

0 .6

0 1 2 3 4 5 6

Int. Lum i (fb-1 )

sigma S(Psi phi)

J/ps i ph i

J/ps i+Ps i'

PSI + TTT

ed2=0.07

sigm

a(de

ltaga

mm

a)

sigm

a(ph

i)

Aart Heijboer ● Observation of Bs oscilations ● Nikhef special seminar ● 01/08/07 ● slide 68 ● 03:44:44 PM

likelihood definition

the probability to measure an event as (un)mixed as a function of the measured decay time:

the probability that an event mixes (does not mix)as a function of the true decay time:

goodness of flavortagger (dilution)

time resolution

(sketch of)

-log likelihood of all events:

If the data are compatible with oscillations, -log(L) has a dip at the right value of ms