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ATLAS-CONF-2013-008 03March2013

ATLAS NOTE

ATLAS-CONF-2013-008

March 2, 2013

Measurement of the di ff erential cross section of B

+

meson production in pp collisions at

s = 7 TeV at ATLAS

The ATLAS Collaboration

Abstract

The production cross section of B

+

mesons is measured as a function of transverse mo- mentum p

T

and rapidity

y

in proton-proton collisions at

s

=

7 TeV, using 2.4 fb

1

of data recorded with the ATLAS detector at the Large Hadron Collider. The differential cross section is measured in eight intervals of p

T

and four intervals of

|y|

, covering the range 9 GeV

<

p

T <

120 GeV and

|y| <

2.25. The differential production cross sections are compared to next-to-leading order theoretical predictions.

c Copyright 2013 CERN for the benefit of the ATLAS Collaboration.

Reproduction of this article or parts of it is allowed as specified in the CC-BY-3.0 license.

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1 Introduction

The production of heavy quarks at hadron colliders provides a challenging opportunity to test the valid- ity of quantum chromodynamics (QCD) predictions. The b-hadron production cross section has been known with next-to-leading-order (NLO) accuracy for more than twenty years [1, 2] and more recently it has been predicted with fixed order calculations matched to next-to-leading logarithm approximation (FONLL) [3, 4].

Several measurements were performed with proton-antiproton collisions by the UA1 experiment at the Sp ¯pS collider (CERN) at a centre-of-mass energy of

s

=

630 GeV [5, 6] and by the CDF and D0 experiments at the Tevatron collider (Fermilab) at

s

=

630 GeV, 1.8 TeV and 1.96 TeV [7–16].

These measurements made a significant contribution to the understanding of heavy quark production in hadronic collisions, but the theoretical predictions still suffer from uncertainties, mainly due to the dependence on the factorisation and renormalisation scales, and to uncertainties on the b-quark mass m

b

[2]. It is of theoretical interest to measure cross sections at higher

s [17]. The FONLL approximations are expected to be valid for p

T

m

b

, as in these approximations the pertubative expansion has terms of ln(p

T

/m

b

), where p

T

is the transverse momentum of the b-hadron.

Measurements of the b-hadron production cross section in proton-proton collisions at the Large Hadron Collider (LHC) provide further tests of QCD calculations for heavy-quark production at higher centre-of-mass energies and in wider transverse momentum (p

T

) and rapidity (y) ranges, thanks to the extended coverage and excellent performance of the LHC detectors. Recently the LHCb experiment measured the b¯b and B

±

production cross sections in the forward region at

s

=

7 TeV [18, 19]. The CMS experiment measured the production cross sections for B

+

, B

0

, B

s

mesons, inclusive b-hadrons and b¯b decays with muons at

s

=

7 TeV [20–24]. ATLAS has measured b and b¯b production using b-hadron jets [25] and inclusive b-hadron production using D

µX [26] and J/ψX [27] final states.

This note presents a measurement of the B

+

production cross section

1

using the decay channel B

+

J/ψK

+

µ

+

µ

K

+

in pp collisions at

s

=

7 TeV, as a function of B

+

transverse momen- tum and rapidity. ATLAS and CMS are sensitive in the central rapidity region, so their measurements are complementary to the measurement of LHCb. Using 2.4 fb

1

of data collected by the ATLAS detec- tor, this analysis extends the measurement of the B

+

cross section up to p

T

of about 100 GeV, allowing comparisons with NLO predictions in four rapidity regions in the range

|

y

|

< 2.25.

2 The ATLAS Detector

The ATLAS experiment [28] uses a general purpose detector

2

consisting of an inner tracker, a calorimeter and a muon spectrometer. The inner detector (ID) directly surrounds the interaction point; it includes a silicon pixel detector (Pixel), a silicon strip detector (SCT) and a transition radiation tracker (TRT), and is embedded in an axial 2 T magnetic field. The ID covers the range

|

η

|

< 2.5 and is enclosed by a calorimeter system containing electromagnetic and hadronic sections. The calorimeter is surrounded by a large muon spectrometer (MS) inside an air-core toroidal magnet system that contains a combination of monitored drift tubes (MDT) and cathode strip chambers (CSC), designed to provide precise position measurements in the bending plane in the range 0 <

|

η

|

< 2.7. In addition, resistive plate chambers

1The measurements presented in this note asσ(pp→B+X) refer to either of the two charged states, under the assumption that in the available phase space the two production cross sections are equal. In the phase space accessible by this measurement, the MC generators predict equal production cross sections for B+and Bmesons. This prediction is valid within the precision of the measurement.

2ATLAS uses a right-handed coordinate system with its origin at the nominal interaction point. The z-axis is along the beam pipe, the x-axis points to the centre of the LHC ring and the y-axis points upward. Cylindrical coordinates (r,φ) are used in the transverse plane,φbeing the azimuthal angle around the beam pipe. The pseudorapidityηis defined asη=−ln[tan(θ/2)], whereθis the polar angle.

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(RPC) and thin gap chambers (TGC) with a coarse position resolution but a fast response time are used primarily to trigger muons in the rapidity ranges

|

η

|

< 1.05 and 1.05 <

|

η

|

< 2.4, respectively. Momentum measurements in the MS are based on track segments in at least two of the three stations of the MDT and the CSC. The RPC and TGC are used to improve the pattern recognition and track reconstruction in the non-bending plane.

The ATLAS trigger system [29] has three levels: the hardware-based Level-1 trigger and the two- stage High Level Trigger (HLT), comprising the Level-2 trigger and Event Filter (EF). At Level-1, the muon trigger searches for patterns of hits corresponding to different p

T

thresholds using the RPCs and TGCs. Regions of Interest (RoI) around these Level-1 hit patterns then serve as seeds for the HLT muon reconstruction, in which dedicated highly selective algorithms are used to incorporate information from both the MS and the ID, achieving a position and momentum resolution close to that provided by the offline muon reconstruction.

3 Cross section determination

The differential cross section for B

+

meson production in pp collisions is given by d

2

σ(pp

B

+

X)

dp

T

dy

=

N

B+

L · B ·∆pT·∆y

, (1)

where N

B+

is the number of B

+

J/ψK

+

signal decays produced,

L

is the integrated luminosity of the data sample,

B

is the total branching ratio of the signal decay, which is (6.03

±

0.21)

×

10

5

, obtained by combining the world averaged values of the branching ratios for B

+

J/ψK

+

and J/ψ

µ

+

µ

[30]

and

∆pT

,

∆y

are the widths of p

T

and

|

y

|

intervals. Assuming that B

+

and B

mesons are produced in equal amounts, N

B+

is derived from the average yield of the two reconstructed charged states in a p

T

y interval, after correcting for detector effects and acceptance:

N

B+ =

1 A

N

recoB+

ε

B+ =

1

A N

recoB

ε

B =

1 A

N

recoB±

ε

B++

ε

B

, (2)

where N

recoB±

is the number of reconstructed signal events, obtained from data with a fit to the invariant mass distribution of B

±

candidates, A is the acceptance of the kinematic cuts imposed on the final state particles of the signal decay and ε

B+()

are efficiency factors for the reconstructed B

+()

signal decays.

The acceptance correction is extracted in each p

T

y interval using a sample of signal decays generated with P

ythia

(see Section 4), in which no kinematic cuts are applied to the final state particles. Regarding the efficiency factors ε

B+()

, separate corrections are needed for B

+

and B

signal decays, because the dif- ferent interaction cross section of K

+

and K

with the detector material results in different reconstruction efficiencies for the two charged mesons. The efficiency factors for B

+

and B

are obtained from Monte Carlo (MC) simulation in the same manner. In the following, ε

B

is implicitly referred to, together with ε

B+

. The efficiency for B

+

events is defined as the product of trigger, muon reconstruction (ID and MS), kaon reconstruction and vertexing efficiencies:

ε

B+=

ε

triggerJ/ψ ·

ε

µ+·

ε

µ·

ε

KID+·

ε

µµKvertex =

ε

J/ψtrigger·

ε

µMS+ ·

ε

µMS ·

µID

)

2·

ε

IDK+·

ε

µµKvertex

. (3) In the above equation, ε

µMS+

and ε

µMS

are the efficiencies for reconstructing µ

+

and µ

in the MS, which differ for muons of low p

T

due to the toroidal magnetic field bending muons with positive (negative) charge towards higher (lower) pseudorapidity. The efficiency ε

B+

for a given p

T

y interval is obtained from MC simulated signal events from the fraction

ε

B+=

N

mc, recoB+

N

mc, genB+

, (4)

(4)

where the denominator is the number of signal events generated in the given p

T

y interval and the numerator is the number of signal events reconstructed in the same p

T

y interval that pass all the offline selection requirements. Bin-to-bin migration effects are included in the efficiency definition of Equa- tion (4). The trigger and muon reconstruction efficiencies have been measured with a tag-and-probe method [31] and the simulation is corrected with per-event weights to reproduce the data-driven efficien- cies. The derived weights w

µMS+

, w

µMS

, w

J/ψtrigger

are applied in each event, so that N

mc, recoB+

in Equation (4) is now defined as

N

mc, recoB+ =

NXmcevents

i=1

(w

µMS+

)

i·

(w

µMS

)

i·

(w

triggerJ/ψ

)

i

. (5) The efficiency for reconstructing muons in the ID, ε

µID

, and the vertexing efficiency, ε

µµKvertex

is found to be 99% in both cases and well reproduced by simulated events, thus no scale factor is applied. The reconstruction efficiency of hadrons in the ID was verified in Ref. [32] for data and simulation; for the kaons used in this analysis, it is obtained from simulation.

4 Data and Monte Carlo samples

Data for this analysis were collected during the 2011 LHC proton-proton running period using a di- muon trigger, which requires the presence of at least two muon candidates of p

T

> 4 GeV. Because of the increasing luminosity of the collider during this period, trigger thresholds changed in the middle of 2011 LHC operation and triggers were also prescaled. Thus, the data sample considered for this analysis is restricted to the first half of the full 2011 data sample, where this di-muon trigger was operational.

Selected events are required to be taken during stable LHC beam conditions and the ID, as well as the MS, must have been fully operational. The collected data correspond to an integrated luminosity of 2.4 fb

1

with an uncertainty of 1.8% [33].

In this analysis two MC samples have been used. The first MC sample simulates the signal decay process B

±

J/ψK

±

µ

+

µ

K

±

while the second simulates the inclusive b¯b

J/ψX

µ

+

µ

X decay process, which also includes the signal. Both samples were generated with P

ythia

6 [34] using the 2011 ATLAS tune [35]. The ATLAS detector and its response were simulated using G

eant

4 [36]. Additional

pp interactions in the same and nearby bunch crossings (pile-up) were included in the simulation.

The MC samples are used at several points in the analysis. The first is in the extraction of the fit models for signal and background. The second is in the construction of efficiency maps for muon recon- struction and trigger selection, in order to obtain scale factors by comparison to data-driven efficiency maps. The third is in the estimation of the signal reconstruction efficiency in each p

T

and rapidity interval used in this analysis. In addition, the P

ythia

MC generator was used to estimate the acceptance of the kinematic cuts we apply on the final state particles. In the MC samples generated with Pythia, events are weighted according to the decay angles of J/ψ

µ

+

µ

in order to take into account the zero helicity state of the J/ψ in the B

±

rest frame.

To compare the measurements with theoretical predictions, NLO QCD calculations, matched with a leading-logarithmic parton shower MC simulation, are used. Predictions for b¯b production are evaluated with two packages: P

owheg

-

hvq

(P

owheg

-

box

1.0) [37, 38] and MC@NLO 4.01 [39, 40]. Predictions use the CT10 [41] parameterisation for the parton distribution function of the proton and a b-quark mass of 4.75 GeV. For the hadronisation process, Powheg is matched with Pythia, which uses the Lund string model [42] with the Bowler modification [43] of the Lund symmetric fragmentation function [44].

MC@NLO is matched with Herwig [45], which uses a cluster model [46]. Predictions from FONLL [47]

with the CTEQ 6.6 [41] parton distribution function are also used, assuming a hadronisation fraction

f

bB+

of (40.1

±

1.3)% [30] to fix the overall scale.

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5 Event selection

5.1 Trigger, muon reconstruction, track selection

Events are required to have at least one reconstructed primary vertex with at least three associated ID tracks, and to satisfy a di-muon trigger which requires the presence of at least two oppositely charged muon candidates of p

T

> 4 GeV and

|

η

|

< 2.4. The trigger selection includes a fit constraining each di- muon candidate to a common vertex. Very loose selections on the quality of the vertex fit (χ

2

/N

dof

< 10) and the di-muon invariant mass (2.5 GeV < m

µµ

< 4.3 GeV) are imposed, which are fully efficient for signal candidates.

Muons are required to have a track reconstructed in the MS matched with a track reconstructed in the ID. The kinematic properties of the muons are solely determined from the parameters of the ID tracks associated with the muons, as multiple scattering in the calorimeters and toroids degrades the

p

T

resolution for the low momentum muons.

Muon tracks are required to have a sufficient number of hits in pixel, SCT and TRT detectors to ensure accurate ID measurements. The same selection criteria are applied to tracks selected as kaon candidates.

5.2 Reconstruction of J/ψ candidates

Events are required to contain at least one pair of reconstructed muons, and each pair is fitted using a vertexing algorithm [49]. The momenta of muons and the vertex invariant mass are calculated from the refitted track parameters returned by the vertexing algorithm.

Muon pairs with a common vertex are considered as J/ψ

µ

+

µ

candidates if their invariant mass lies in the mass range 2.7

3.5 GeV. Selecting di-muons in this mass range is 100% efficient for selecting signal events.

Because of the trigger requirements on muons, the reconstructed J/ψ must have rapidity

|

y

|

< 2.25 and the reconstructed muons p

T

> 4 GeV and

|

η

|

< 2.3. To ensure that the di-muons that form the J/ψ candidate are the ones which triggered the event, an η

φ match between the trigger muons and the ones of the J/ψ candidate is required. If multiple J/ψ candidates are found in the event, all are considered in the formation of B

±

candidates.

5.3 Reconstruction of B

±

candidates

The muon tracks of the selected J/ψ candidates are again fitted to a common vertex with an additional

third track of p

T

greater than 1 GeV. The three-track vertex fit is performed by constraining the muon

tracks to the J/ψ mass [30]. The K

±

mass is assigned to the third track. The quality of the resulting

fit is characterised by the χ

2

per-degree of freedom ( χ

2

/N

d.o.f.

), where a global χ

2

involving all three

tracks is used. Selected candidates are required to fulfill the requirement χ

2

/N

d.o.f.

< 6, which is found

to be

99% efficient in accepting signal events while strongly rejecting background events. We retain

B

+

and B

candidates with p

T

> 9 GeV and

|

y

|

< 2.3 in the mass range 5.040

5.800 GeV. After this

selection, the candidate multiplicity per event is 1.3, dominated by random combinations of tracks with

the selected J/ψ mesons, produced promptly or in b-hadron decays. Such combinations result in non-

resonant background which does not affect the estimation of the signal yield. The probability to have a

second signal decay in the same event is small due to the small branching fraction.

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6 Extracting the number of reconstructed B

±

mesons

The number of reconstructed B

±

mesons is obtained using a binned maximum likelihood fit to the invari- ant mass of the selected candidates. The probability density function (pdf) for the signal is defined as the sum of two Gaussians of relative fraction f

1

and corresponding widths σ

1

, σ

2

, both centered at the reconstructed mass of B

±

candidates. The pdf for the background consists of three components to model the following three sources of background:

B

±

J/ψπ

±

, where the kaon mass is wrongly assigned to the pion; this decay is Cabbibo sup- pressed with a relative fraction of 4.9% [30] with respect to the signal decay; it is modeled with a Crystal Ball function [48].

B

±/0

J/ψK

∗±/0

J/ψKπ and B

±/0

J/ψK

±

π

0/

, where the final state pion is not associated to the decay vertex, creating a resonant structure approximately one pion mass away from the B

±

mass; these partially reconstructed B-decays are modeled with a complementary error function.

Combinatorial background from random combinations of J/ψ (produced promptly in pp collisions or in feed-down from B-decays) with a track; it is modeled with an exponential function. The background from muon pairs not originating from J/ψ decays is verified to be negligible after the full B

±

candidate selection.

The extraction of the signal yield is done in two steps. First, the shapes of the signal and background pdf’s, which depend on p

T

and y of the B

±

meson candidate, are obtained from fits to MC for each p

T

y interval. Then the data are fitted in the same p

T

y interval. The parameters for the shape of the signal pdf (σ

1

, σ

2

and f

1

) and the resonant background are fixed to the results of the fits to MC. The relative normalisation of the B

±

J/ψπ

±

decay to the signal is fixed to the fraction of the world averaged values for their branching ratios, and is corrected for the difference in acceptance of the two decay modes. The reconstructed mass m

B±

is obtained from data for the full p

T

range in a rapidity interval by fitting the invariant mass of the selected candidates, and is fixed throughout the fits in p

T

intervals. Therefore, when fitting the data in each p

T

y interval, the free parameters are the normalisation of the signal and the partially reconstructed B-decays, and the slope of the combinatorial background. The results of the fits to the invariant mass of the selected B

±

candidates from data are exemplified in Figure 1 for a region of intermediate p

T

and of central rapidity.

The total number of signal B

±

events observed in data in the full p

T

and y range before acceptance and efficiency corrections is 125600

±

1201, where the quoted uncertainty is statistical. These events are split in four intervals of

|

y

|

and eight intervals of p

T

for the differential cross section measurement. The acceptance correction varies from 4%-85% from low to high p

T

intervals, and the efficiency correction varies from 25%-40%.

7 Systematic uncertainties

All the relevant sources of systematic uncertainty on the measurement of the B

+

production cross section are considered and discussed below. The range of these uncertainties is summarised in Table 7. Their breakdown in p

T

y intervals is given in Figure 2. The total systematic uncertainty, including the uncer- tainties from luminosity and branching ratio, is compared to the statistical precision of the measurement in Figure 3.

1. Trigger: The trigger efficiency is obtained from data in bins of p

T

and q

·

η of the muon, where

q is the muon charge, using a tag and probe method [31]. As the statistical components of the

uncertainty associated with the weights for the trigger efficiency are dominant, the uncertainties

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[GeV]

K±

ψ

mJ/

5.1 5.2 5.3 5.4 5.5 5.6 5.7 5.8

Entries / 0.01 GeV

0 200 400 600 800 1000 1200

1400 Data

Fit Signal Total background Combinatorial background

background π±

ψ

J/

B±

background π

ψ K

J/

B

ATLAS Preliminary

Ldt=2.4 fb-1

=7 TeV, s

0.5 < |y| < 1 < 25 GeV 20 < pT

K±

ψ

→ J/

B±

Figure 1: Fit to invariant mass of B

±

candidates in an intermediate p

T

interval in a central rapidity region.

The points with error bars are data and the solid line is the result of the binned maximum likelihood fit.

The various components of the fit for the signal and the background are also shown.

on the cross section are derived from a series of pseudo-experiments by allowing the weights to fluctuate randomly under a Gaussian assumption, according to their assigned uncertainty.

2. Fit: For the fit method, three sources of systematic uncertainty are identified and considered to be uncorrelated. These are the shape of the signal pdf, the reconstructed B

±

mass and the shape of the background pdf. Below, the procedure to estimate the systematic uncertainty from each source is described, and the resulting uncertainties are added quadratically to obtain the total systematic uncertainty from the fit method in each p

T

y region.

Uncertainty from shape of the signal pdf. This uncertainty is estimated with variations of the fit model, where the values of the signal pdf parameters σ

1

, σ

2

, f

1

are varying independently within their uncertainties derived from the fit to signal events from MC. From these variations of the fit model, the largest absolute value of the signal yield variation is taken as systematic uncertainty from the signal pdf shape, in order to account for the large correlations of these parameters. Different pdf’s were considered (three Gaussians, two Crystal Ball+Gaussian) and no significant differences in the signal yield were observed. The shape of the signal pdf is the dominant source of uncertainty among the various sources considered in the study of the fit systematics and varies from a minimum of 1% to a maximum of 8%.

Uncertainty on the B

±

mass value. The reconstructed mass m

B±

is obtained from data by fitting the invariant mass of all candidates with p

T

> 9 GeV in each of the four rapidity regions. The resulting values are used to fix this parameter when performing the fits in the various p

T

y regions and their statistical uncertainty is used to estimate the systematic uncertainty on the signal yield. The fits in the various p

T

y regions are repeated varying the value of m

B±

. The observed difference in the signal yield is smaller than 1%.

Uncertainty from the shape of the background pdf. The fit comprises three components, with each of them contributing as a possible source of uncertainty in the modeling of background.

In order to account for the large correlations between the three components, the systematic

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(B) [GeV]

pT

10 20 30 40 50 60 70 100

Uncertainty [%]

1 10

ATLAS Preliminary

Total systematics Trigger Fit Kaon rec.

Acceptance Muon rec.

Signal efficiency vertexing B±

0 < |y| < 0.5

(B) [GeV]

pT

10 20 30 40 50 60 70 100

Uncertainty [%]

1 10

ATLAS Preliminary

Total systematics Trigger Fit Kaon rec.

Acceptance Muon rec.

Signal efficiency vertexing B±

0.5 < |y| < 1

(B) [GeV]

pT

10 20 30 40 50 60 70 100

Uncertainty [%]

1 10

ATLAS Preliminary

Total systematics Trigger Fit Kaon rec.

Acceptance Muon rec.

Signal efficiency vertexing B±

1 < |y| < 1.5

(B) [GeV]

pT

10 20 30 40 50 60 70 100

Uncertainty [%]

1 10

ATLAS Preliminary

Total systematics Trigger Fit Kaon rec.

Acceptance Muon rec.

Signal efficiency vertexing B±

1.5 < |y| < 2.25

Figure 2: Sources of systematic uncertainty affecting the cross section for different rapidity ranges. The total systematic uncertainty includes uncertainties from luminosity (1.8%) and branching ratio (3.4%).

uncertainty from the background modeling assigned to each p

T

y region is the largest observed difference in the signal yield.

– Combinatorial background: Fits are performed making different choices for the shape of

the combinatorial background (polynomial instead of exponential); the observed differ- ence in the signal yield is considered as systematic uncertainty from the combinatorial background modeling.

– B±

J/ψπ

±

: For the resonant background from B

±

J/ψπ

±

, the dominant uncertainty comes from the relative branching fractions of this decay to the signal, which has an uncertainty of 10% [30]. Varying this fraction in the fit within its uncertainty was found to have a small effect on the signal yield (

1%).

– Partially reconstructed B-decays: The resonant background from partially reconstructed

B-decays is modeled with a complementary error function. Varying its parameters within their uncertainties from the fits to background events from MC, the observed difference in the signal yield is smaller than 1%.

3. Kaon track reconstruction: The efficiency of hadron reconstruction is determined from MC, with the uncertainty dominated by the material description, and validated by data driven methods [32].

The uncertainty ranges with rapidity from 2% to 4% for the kaons used in this analysis.

4. Acceptance: There are two sources of uncertainty affecting the signal acceptance calculation:

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(B) [GeV]

pT

10 20 30 40 50 60 70 100

Uncertainty [%]

1 10

0 < |y| < 0.5 ATLAS Preliminary Systematic

Statistical

(B) [GeV]

pT

10 20 30 40 50 60 70 100

Uncertainty [%]

1 10

0.5 < |y| < 1 ATLAS Preliminary Systematic

Statistical

(B) [GeV]

pT

10 20 30 40 50 60 70 100

Uncertainty [%]

1 10

1 < |y| < 1.5 ATLAS Preliminary Systematic

Statistical

(B) [GeV]

pT

10 20 30 40 50 60 70 100

Uncertainty [%]

1 10

1.5 < |y| < 2.25 ATLAS Preliminary Systematic

Statistical

Figure 3: Statistical uncertainty of the fit in the determination of signal yield affecting the cross section, compared to the total systematic uncertainty. The total systematic uncertainty includes uncertainties from luminosity (1.8%) and branching ratio (3.4%).

Uncertainty from MC statistics. The acceptance in each p

T

y region has a relative uncer- tainty ranging from 1% to 4%, due to MC statistics.

Uncertainty from model-dependent kinematics. Differences in the underlying kinematic dis- tributions modeled by the Pythia and NLO generators were considered. The impact on the acceptance was estimated by reweighting the kinematic distributions of P

ythia

to those of P

owheg

and MC@NLO. The largest effect is seen in the high rapidity intervals, where the maximum relative difference observed is 1%, while in the remaining p

T

y intervals the effect is very small (

0.1%).

5. Muon reconstruction: The muon reconstruction efficiency is obtained from data in bins of p

T

and q

·

η of the muon, using a tag-and-probe method [31]. The uncertainties associated with the determination of ε

µMS

are mainly statistical, so the same procedure as for the trigger efficiency is used to estimate the systematic uncertainty on the cross section. In addition to this, there is also an uncertainty coming from the efficiency of reconstructing a muon in the ID with the selection cuts used in this analysis. This efficiency is found to be

99% with a systematic uncertainty of 0.5%

for each muon.

6. B

± vertex-finding efficiency. The vertex quality requirement has an efficiency of

99% and is

fairly independent of p

T

and y. It was estimated with data by comparing the signal yields in

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four rapidity regions before and after applying this requirement and is found to be consistent with the expectation from MC. A systematic uncertainty of 2% is assigned to this efficiency, as the maximum difference observed between the data-driven estimation and the expectation from MC.

7. Branching ratio: The total branching ratio of the selected decay, obtained combining the ratios of the decays B

±

J/ψK

±

and J/ψ

µ

+

µ

, has an uncertainty of 3.4% [30].

8. Luminosity: The luminosity scales determined by the ATLAS Collaboration for 2011 have been calibrated based on van der Meer scan data and have an uncertainty of 1.8% [33].

9. Signal e

fficiency: The efficiency correction factor for B±

signal events is obtained from MC (Equa- tion 4). The systematic uncertainty assigned to this factor has two components:

Uncertainty from MC statistics. The sample used for the estimation of the efficiency cor- rection factor corresponds to a luminosity similar to that of the data sample. Due to the available statistics of this sample, the efficiency estimation has an uncertainty which is small (

1%) in most intervals and becomes significant in the high p

T

intervals (

10%). It is added quadratically to the rest of the sources of uncertainty.

Uncertainty from K

+

/K

efficiency asymmetry. Because of the different interaction of K

+

and K

mesons with the detector material, the efficiency of the kaons used in this analysis is different by

3.5%. This difference is obtained from simulation and verified with data.

The statistical uncertainty of the data-driven estimation of this efficiency difference is used to assign a systematic uncertainty of 1%, which propagates to the cross section through the sum of efficiencies (ε

B++

ε

B

) in Equation 2.

10. Other: Bin-to-bin migration of signal events due to finite detector resolution is studied with MC.

It is found to be a small effect (<0.5%), which is included in the definition of signal efficiency (Equation 4) and no systematic uncertainty is assigned to it. Potential effects in the calculation of the signal efficiency due to the difference of the momentum scale in data and MC are expected to be larger in the lower p

T

intervals used in this analysis, where they were estimated to be smaller than 0.5%, and no systematic uncertainty is assigned for this source.

8 Cross section results

Using Equation 1, the differential cross section for B

+

production is obtained, and is shown in Figure 4 as a function of p

T

of the B

+

meson in four rapidity regions. Each point includes the combined statisti- cal and systematic uncertainty. Tables 2 and 3 contain the measured values of production cross section times branching ratio to the final states, in the same intervals in y and p

T

. The results are compared to NLO predictions obtained with P

owheg

(+P

ythia

) and MC@NLO(+H

erwig

). The NLO predictions are assigned an uncertainty due to renormalisation and factorisation scale and the b-quark mass, shown with a hatched area. Uncertainties from factorisation and renormalisation scales are estimated by varying the scales independently up and down by a factor of two, and the uncertainty from the b-quark mass is esti- mated by varying its value by

±

0.25 GeV [50]. To allow for a better comparison between the measured cross section and the NLO predictions, Figure 5 shows its ratio for each rapidity region separately for P

owheg

and MC@NLO.

The double differential cross section is summed over the p

T

intervals, or over the rapidity ranges,

in order to obtain the differential cross section dσ/dy and dσ/dp

T

, shown in Figures 6 and 7. The

systematic errors related to luminosity, branching ratio, trigger efficiency, kaon reconstruction, muon

reconstruction, vertex finding, and signal description in the mass fit are correlated, and the contributions

(11)

Table 1: The statistical and total systematic uncertainties on the cross section measurement. The contri- butions from the various sources of systematic uncertainty are also given. The quoted numbers are the lower and upper values over the used p

T

intervals for the four rapidity regions.

Relative uncertainty [%]

Source 0.0 <

|

y

|

< 0.5 0.5 <

|

y

|

< 1 1 <

|

y

|

< 1.5 1.5 <

|

y

|

< 2.25 Statistical uncertainty 2.3 - 14 2.5 - 17 3.2 - 22 3.8 - 24 Total systematic uncertainty 6.6 - 14 6.5 - 13 6.8 - 16 7.5 - 18

1. Trigger 3.8 - 7.4 3.2 - 6.1 3.4 - 7.0 3.6 - 8.7

2. Invariant mass fit 1.8 - 3.4 1.7 - 4.8 2.4 -8.9 2.6 - 7.6

3. Kaon reconstruction 2.2 2.2 - 2.4 2.5 - 2.9 3.5 - 4.0

4. Acceptance 1.0 - 3.2 1.0 - 3.4 1.0 - 3.8 1.0 - 5.1

5. Muon reconstruction 0.5 - 1.3 0.5 - 1.7 0.5 - 2.1 0.6 - 5.4

6. B

±

vertexing 2.0 2.0 2.0 2.0

7. Branching ratio 3.4 3.4 3.4 3.4

8. Luminosity 1.8 1.8 1.8 1.8

9. Signal efficiency 0.9 - 10 0.8 - 8.9 0.9 - 9.5 0.7 - 12

from each of them are added linearly when summing over the intervals in p

T

or rapidity. The remaining

systematic errors are uncorrelated, and are combined in quadrature over the different intervals. The total

systematic error is the quadratic combination of the two components. In Figure 6, the measurement

is compared to the P

owheg

and MC@NLO predictions. In Figure 7, the measurement is compared to

FONLL calculations and, for p

T

< 30 GeV, to results from CMS in the rapidity range

|

y

|

< 2.4 [20]. The

uncertainty of the FONLL computation includes the uncertainties on the b-quark mass, renormalisation

and factorisation scales.

(12)

[GeV]

p

T

10 20 30 40 50 60 70 100

b/GeV] µ dy [

T

X)/dp

+

B → (pp σ

2

d

10

-5

10

-4

10

-3

10

-2

10

-1

1 10 10

2

10

3

POWHEG+Pythia MC@NLO+Herwig

Ldt=2.4 fb-1

=7 TeV, s

1000)

× 0 < |y| < 0.5 (

×100) 0.5 < |y| < 1 (

×10) 1 < |y| < 1.5 ( 1.5 < |y| < 2.25

ATLAS Preliminary

Figure 4: Double-differential cross section of B

+

production as a function of p

T

for different rapidity

ranges. The points with error bars correspond to data with their associated uncertainty, which is the com-

bination of the statistical and systematic uncertainty. The data points are compared to NLO predictions

from Powheg and MC@NLO. The shaded areas around the theoretical predictions reflect the uncertainty

from renormalisation and factorisation scales and the b-quark mass.

(13)

NLOσ / σ

0.5 1 1.5 2

NLOσ / σ

0.5 1 1.5 2

NLOσ / σ

0.5 1 1.5 2

[GeV]

pT

10 20 30 40 50 100

NLOσ / σ

0.5 1 1.5 2

POWHEG+Pythia

0 < |y| < 0.5

0.5 < |y| < 1

1 < |y| < 1.5

1.5 < |y| < 2.25 ATLAS Preliminary

NLOσ / σ

0.5 1 1.5 2

NLOσ / σ

0.5 1 1.5 2

NLOσ / σ

0.5 1 1.5 2

[GeV]

pT

10 20 30 40 50 100

NLOσ / σ

0.5 1 1.5 2

0 < |y| < 0.5

0.5 < |y| < 1

1 < |y| < 1.5

1.5 < |y| < 2.25 ATLAS Preliminary

MC@NLO+Herwig

Figure 5: Ratio of the measured cross section to the theory predictions of Powheg (left) and

MC@NLO (right) in four rapidity regions. The points with error bars correspond to data with their as-

sociated uncertainty, which is the combination of the statistical and systematic uncertainty. The shaded

areas around the theoretical predictions reflect the uncertainty from renormalisation and factorisation

scales and the b-quark mass.

(14)

|y|

0 0.5 1 1.5 2

b]µX)/dy [+ B→(ppσd

0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5

Ldt=2.4 fb-1

=7 TeV, s

Data

POWHEG+Pythia MC@NLO+Herwig

<120 GeV 9<pT

ATLAS Preliminary

Figure 6: Differential cross section of B

+

production as a function of rapidity. Points with error bars correspond to data with statistical uncertainty, with the yellow rectangles showing the combined statisti- cal and systematic uncertainty. Predictions from P

owheg

and MC@NLO are also given for comparison.

The shaded areas around the theoretical predictions reflect the uncertainty from renormalisation and factorisation scales and the b-quark mass.

[GeV]

pT

6 7 8 910 20 30 40 50 100

b/GeV]µ [ TX)/dp+ B→(ppσd

10-5

10-4

10-3

10-2

10-1

1 10

, |y|<2.25 ATLAS, 2.4 fb-1

, |y|<2.4 CMS, 5.8 pb-1

|<2.25 FONLL, |yb

=7 TeV s

ATLAS Preliminary

Figure 7: Differential cross section of B

+

production as a function of p

T

. The solid circle points with

error bars correspond to the measurement of ATLAS with its statistical uncertainty, with the yellow

rectangles showing the combined statistical and systematic uncertainty. For comparison, data points

from CMS are also shown, for a measurement covering p

T

< 30 GeV and

|

y

|

< 2.4 [20]. Predictions of

FONLL calculation [47] for B

+

production are also given, assuming a hadronisation fraction of f

b→B+

of

(40.1

±

1.3)% [30] to fix the overall scale. The upper and lower uncertainty limits on the prediction were

obtained considering scale and b-quark mass variations.

(15)

Table 2: Differential cross section measurement for B

+

production multiplied by the branching ratio to the final state in p

T

intervals in the rapidity regions

|

y

|

< 0.5 and 0.5 <

|

y

|

< 1. The first quoted uncertainty is statistical, the second uncertainty is systematic.

d2σ

dpTdy· B

(B

+

J/ψK

+

)

· B

(J/ψ

µ

+

µ

) [pb/GeV]

p

T

[GeV] 0 <

|

y

|

< 0.5 0.5 <

|

y

|

< 1

9 - 13 25

±

1

±

2 22

±

1

±

1

13 - 16 8.7

±

0.3

±

0.5 8.5

±

0.3

±

0.5 16 - 20 3.7

±

0.1

±

0.2 3.9

±

0.1

±

0.3 20 - 25 1.54

±

0.04

±

0.09 1.57

±

0.04

±

0.11 25 - 35 0.47

±

0.01

±

0.03 0.47

±

0.01

±

0.03 35 - 50 0.097

±

0.003

±

0.007 0.095

±

0.004

±

0.008 50 - 70 0.017

±

0.001

±

0.001 0.018

±

0.001

±

0.002 70 - 120 0.0019

±

0.0002

±

0.0003 0.0020

±

0.0003

±

0.0003

Table 3: Differential cross section measurements for B

+

production multiplied by the branching ratio to the final state in p

T

intervals in the rapidity regions 1 <

|

y

|

< 1.5 and 1.5 <

|

y

|

< 2.25. The first quoted uncertainty is statistical, the second uncertainty is systematic.

d2σ

dpTdy· B

(B

+

J/ψK

+

)

· B

(J/ψ

µ

+

µ

) [pb/GeV]

p

T

[GeV] 1 <

|

y

|

< 1.5 1.5 <

|

y

|

< 2.25

9 - 13 24

±

2

±

2 22

±

2

±

2

13 - 16 8.0

±

0.3

±

0.5 7.1

±

0.4

±

0.6

16 - 20 3.3

±

0.1

±

0.2 2.9

±

0.1

±

0.2

20 - 25 1.32

±

0.05

±

0.08 1.07

±

0.04

±

0.07

25 - 35 0.41

±

0.01

±

0.03 0.31

±

0.01

±

0.02

35 - 50 0.072

±

0.004

±

0.006 0.055

±

0.004

±

0.006

50 - 70 0.0135

±

0.0014

±

0.0013 0.0097

±

0.0012

±

0.0012

70 - 120 0.00095

±

0.00021

±

0.00015 0.00083

±

0.00019

±

0.00014

(16)

9 Conclusions

The differential cross section for B

+

meson production has been studied in pp collisions at 7 TeV with 2.4 fb

−1

of integrated luminosity. The B

+

meson differential cross section is measured in four rapidity and eight transverse momentum intervals, covering the range

|

y

|

< 2.25 and 9 GeV < p

T

< 120 GeV.

The measured differential cross section is compared with the predictions of next-to-leading order QCD

computations. The predictions are obtained using Powheg+Pythia and MC@NLO+Herwig and are

quoted with an uncertainty from renormalisation and factorisation scales and b-quark mass of the order of

20%-40%. Within these uncertainties, Powheg+Pythia is altogether in agreement with the measurement

in absolute scale and in the dependences on p

T

and y. At low

|

y

|

, MC@NLO+H

erwig

predicts lower

production cross section and a softer p

T

spectrum than the one observed in data, which becomes harder

for

|

y

|

> 1. An FONLL calculation, assuming a hadronisation fraction of f

bB+

of (40.1

±

1.3)% [30] to fix

the overall scale, is in good agreement with the measurement of dσ/d p

T

, in particular for p

T

< 30 GeV.

(17)

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(20)

A Additional figures

[GeV]

K±

ψ

mJ/

5.1 5.2 5.3 5.4 5.5 5.6 5.7 5.8

Candidates / 0.01 GeV

0 5000 10000 15000 20000 25000 30000

candidates B+

candidates B-

=7 TeV s Data 2011

L dt = 2.4 fb-1

ATLAS Preliminary

Figure 8: Histograms of the invariant mass of the selected B

+

(continuous line) and B

(dashed line) candidates. No efficiency corrections are applied. The lower yield of B

with respect to B

+

candidates is due to the different reconstruction efficiency of positively and negatively charged hadrons (pions, kaons), resulting from different interaction cross sections with the detector material. After extracting the background, the number of signal B

+

events is 63531

±

838, and the number of signal B

events is 62093

±

842, where the quoted uncertainties are statistical.

[GeV]

K±

ψ

mJ/

5 5.2 5.4 5.6 5.8 6

Entries / 0.01 GeV

0 5000 10000 15000 20000 25000

K+

ψ

J/

B+

K+

χc1,2

B+

)+/0

π (K*/K ψ

J/

B+/0

π+

ψ

J/

B+

ψ X

J/

other Hb

K+

ψ

J/

B+

K+

χc1,2

B+

)+/0

π (K*/K ψ

J/

B+/0

π+

ψ

J/

B+

ψ X

J/

other Hb

ψ X

→ J/

b b ATLAS Preliminary Simulation

Figure 9: Reconstructed J/ψK

±

candidates from simulated b¯b

J/ψX decays, demonstrating various

sources of background compared to signal. The dashed lines indicate the chosen fitted region. Other

background contributions from J/ψ mesons produced promptly in pp collisions are not shown.

Abbildung

Figure 1: Fit to invariant mass of B ± candidates in an intermediate p T interval in a central rapidity region.
Figure 2: Sources of systematic uncertainty affecting the cross section for different rapidity ranges
Figure 3: Statistical uncertainty of the fit in the determination of signal yield affecting the cross section, compared to the total systematic uncertainty
Table 1: The statistical and total systematic uncertainties on the cross section measurement
+7

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