Heavy quark production via leptoquarks at a neutrino factory
A Neutrino Factory MIND at Large theta_13
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Transcript of A Neutrino Factory MIND at Large theta_13
A Neutrino Factory MIND at Large θ13
R. Bayes1, A. Bross3, A. Cervera-Villanueva2 , M. Ellis4,5, TapasiGhosh2 A. Laing1 , F.J.P. Soler1 , and R. Wands3
1University of Glasgow, 2IFIC and Universidad de Valencia, 3Fermilab, 4Brunel University,5Westpac Institutional Bank, Australia,on behalf of the IDS-NF collaboration
NUFACT 201224 July, 2012
R. Bayes (University of Glasgow) A Neutrino Factory MIND at Large θ13 NUFACT, July 2012 1 / 18
1 Introduction
2 Simulation Overview
3 Analysis
4 Sensitivity to δCP
5 Conclusions
R. Bayes (University of Glasgow) A Neutrino Factory MIND at Large θ13 NUFACT, July 2012 2 / 18
Consequences of Large θ13 on Neutrino Factory
Physics priorities shift tomeasurement of CP violation.For measurement of θ13 used
Two baselines: 4000 km and7500 km25 GeV stored µ energy.
Re-optimization of baselineand beam energy requiredMeasurement of δCP achievedwith
Single 2000 km baseline.10 GeV stored µ energy.
0.65
0.65
0.7
0.7 0.7
0.75
sin22!13"10#1
GLoBES2010
0.7
0.75
0.8
sin22!13"10#2
GLoBES2010
0.45
0.45
0.55
0.65
sin22!13"10#3
GLoBES2010
0.3 0.35
0.4
sin22!13"10#4
GLoBES2010
10
15
20
25
E $!GeV"
1000 2000 3000 4000 5000 6000L !km"
5
10
15
20
25
E $!GeV"
2000 3000 4000 5000 6000L !km"
Figure 9. Fraction of ! for which CPV will be discovered (3" CL) as a function of L and Eµ for thesingle baseline Neutrino Factory. The di!erent panels correspond to di!erent true values of sin2 2#13,as given there. Here SF=1 (2.5! 1020 muons per year and polarity) is used with a 50 kt detector. Theoptimal performance is marked by a dot: (2200,10.00), (2288,13.62), (3390,20.00) and (4345,22.08).Figure and caption taken from reference [109].
1.4.2. Optimisation of a two baseline Neutrino Factory
The simultaneous optimisation of two Neutrino Factory baselines has been studied in reference [108],see figure 11 (shaded regions). One easily recovers the behaviour discussed above: sin2 2#13 (upperleft panel) and mass hierarchy (upper right panel) sensitivity prefer a long baseline, but the combi-nation with a shorter baseline is not significantly worse. For CP violation (lower left panel), however,one baseline has to be considerably shorter. If all performance indicators are combined (lower rightpanel), the optimum at 4 000 km plus 7 500 km is obtained. A very interesting study is performed inthe dashed curves: these curves illustrate the e!ect of a potential non-standard interaction $e! , whichis known to harm especially the appearance channels. While the absolute performance for all perfor-
25
√ ×
× ×
From IDS-NF-020, Interim Design Report
MIND simulation used to examine sensitivities with thesespecifications.
R. Bayes (University of Glasgow) A Neutrino Factory MIND at Large θ13 NUFACT, July 2012 3 / 18
New Baseline Neutrino Factory IDS-NF updated baseline design
21/28
Proton Driver HARP: primary beam on production target Target, Capture and Decay MERIT: first create π and later decay into μ Bunching and Phase Rotation
Reduce the spread in energy (ΔE) of bunch Cooling
MICE: Reduce the transverse emittance Acceleration
EMMA: go from 130 MeV to 10 GeV with RLAs or FFAGs Decay Ring Store for roughly 1000 turns; long straight sections
A Staged Approach is conceivable with outstanding physics cases at each stage!
S. K. Agarwalla, 4th EUROnu Annual Meeting, APC, Paris, 13th June, 2012
One 2000 km baseline, 100 kt MIND, 10 GeV muons, 1021 useful decays/year
549 m Single decay ring.Stores both µ+ andµ−.10 GeV final muonenergy.Either RLA or FFAGwill be used in finaldesign.
R. Bayes (University of Glasgow) A Neutrino Factory MIND at Large θ13 NUFACT, July 2012 4 / 18
Physics at a Neutrino Factory
Neutrino Factory provides neutrinos from µ+ and µ− decay.Will produce 5×1020 useful muons of both species per year.
ν Oscillation Channels
Store µ+ Store µ−
Golden Channel νe → νµ ν̄e → ν̄µνe Disappearance Channel νe → νe ν̄e → ν̄eSilver Channel νe → ντ ν̄e → ν̄τPlatinum Channel ν̄µ → ν̄e νµ → νeνµ Disappearance Channel ν̄µ → ν̄µ νµ → νµDominant Oscillation ν̄µ → ν̄τ νµ → ντ
MIND optimized for Golden Channel signal (wrong sign muon).
R. Bayes (University of Glasgow) A Neutrino Factory MIND at Large θ13 NUFACT, July 2012 5 / 18
Physics at a Neutrino Factory
Neutrino Factory provides neutrinos from µ+ and µ− decay.Will produce 5×1020 useful muons of both species per year.
ν Oscillation Channels
Store µ+ Store µ−
Golden Channel νe → νµ ν̄e → ν̄µνe Disappearance Channel νe → νe ν̄e → ν̄eSilver Channel νe → ντ ν̄e → ν̄τPlatinum Channel ν̄µ → ν̄e νµ → νeνµ Disappearance Channel ν̄µ → ν̄µ νµ → νµDominant Oscillation ν̄µ → ν̄τ νµ → ντ
MIND optimized for Golden Channel signal (wrong sign muon).
R. Bayes (University of Glasgow) A Neutrino Factory MIND at Large θ13 NUFACT, July 2012 5 / 18
MIND Design for Neutrino Factory
100 kTon detector14 m×14 m×140 m.X and Y views from 2 cm thick lattice of1 cm×3.5 cm scintillator bars.~B field from 3 cm Fe plates, induced by120 kA current carried by 7 cm diameterSCTL
Superconducting Transmission Line
R. Bayes (University of Glasgow) A Neutrino Factory MIND at Large θ13 NUFACT, July 2012 6 / 18
MIND SimulationEvents simulated with GENIE.
Full geometry & ~B field in GEANT 4
Realistic field map generated by BobWands at FNAL
default positive focussing.
| (Te
sla)
B|
00.20.40.60.811.21.41.61.822.22.4
X-position (m)-8 -6 -4 -2 0 2 4 6 8
Y-po
sitio
n(m
)
-6
-4
-2
0
2
4
6
Dimensions of detectoreasily altered for
optimization.testing variations.
R. Bayes (University of Glasgow) A Neutrino Factory MIND at Large θ13 NUFACT, July 2012 7 / 18
MIND Event Reconstruction
Simulated events digitized.Hits positions smeared andenergy depositionattenuated.Edep clustered into3.5 cm×3.5 cm units.
Tracks identified by KalmanFilter or Cellular automata.Kalman fitting used todetermine momentum andcharge.Algorithms from RecPack.
supported byCervera-Villanueva et al.
50 ν̄µ CC events.
Z Position of Hit in Meters-30 -20 -10 0 10 20 30
Rad
ial P
ositi
on o
f Hit
in M
eter
s
0
1
2
3
4
5
6
7
8sqrt(pow(XPositions,2) + pow(YPositions,2))*0.001:0.001*ZPositions {abs(Evt - 51) < 25 && FittedNodes}
50 νµ CC events.
Z Position of Hit in Meters-30 -20 -10 0 10 20 30
Rad
ial P
ositi
on o
f Hit
in M
eter
s
0
1
2
3
4
5
6
7
8sqrt(pow(XPositions,2) + pow(YPositions,2))*0.001:0.001*ZPositions {abs(Evt - 51) < 25 && FittedNodes}
Fitted hits in red others in black.R. Bayes (University of Glasgow) A Neutrino Factory MIND at Large θ13 NUFACT, July 2012 8 / 18
Cuts Based Golden Analysis
Described in detail in IDR.Separates NC like from CClike events.CC backgrounds arereduced as they are partiallyNC like.
Departures from IDR AnalysisQuadratic and displacementcuts removed.Kinematic cuts replaced by auniform requirementQt > 0.15 GeV
µ+ or µ− Focussing Magnetic Field
Fraction of Events Passed by Cuts
-610 -510 -410 -310 -210 -110 1
Reconstruction Success
Fiducial
Max Momentum
Fitted proportion
Track quality
CC Selection
Kinematic
CC Signalµν
µνCC ID as µν
NC µν rec. from +µ
CC eν rec. from -µ
µνCC ID as τν
µνCC ID as τν
Consider νµ and ν̄µ appearance.
R. Bayes (University of Glasgow) A Neutrino Factory MIND at Large θ13 NUFACT, July 2012 9 / 18
Cuts Based Golden Analysis
Described in detail in IDR.Separates NC like from CClike events.CC backgrounds arereduced as they are partiallyNC like.
Departures from IDR AnalysisQuadratic and displacementcuts removed.Kinematic cuts replaced by auniform requirementQt > 0.15 GeV
µ+ or µ− Focussing Magnetic Field
Fraction of Events Passed by Cuts
-610 -510 -410 -310 -210 -110 1
Reconstruction Success
Fiducial
Max Momentum
Fitted proportion
Track quality
CC Selection
Kinematic
CC Signalµν
µνCC ID as µν
NC µν rec. from -µ
CC eν rec. from +µ
µνCC ID as τν
µνCC ID as τν
Consider νµ and ν̄µ appearance.
R. Bayes (University of Glasgow) A Neutrino Factory MIND at Large θ13 NUFACT, July 2012 9 / 18
Cuts Based Golden Analysis
Described in detail in IDR.Separates NC like from CClike events.CC backgrounds arereduced as they are partiallyNC like.
Departures from IDR AnalysisQuadratic and displacementcuts removed.Kinematic cuts replaced by auniform requirementQt > 0.15 GeV
µ+ or µ− Focussing Magnetic Field
Fraction of Events Passed by Cuts
-610 -510 -410 -310 -210 -110 1
Reconstruction Success
Fiducial
Max Momentum
Fitted proportion
Track quality
CC Selection
Kinematic
CC Signalµν
µνCC ID as µν
NC µν rec. from +µ
CC eν rec. from -µ
µνCC ID as τν
µνCC ID as τν
Consider νµ and ν̄µ appearance.
R. Bayes (University of Glasgow) A Neutrino Factory MIND at Large θ13 NUFACT, July 2012 9 / 18
Cuts Based Golden Analysis
Described in detail in IDR.Separates NC like from CClike events.CC backgrounds arereduced as they are partiallyNC like.
Departures from IDR AnalysisQuadratic and displacementcuts removed.Kinematic cuts replaced by auniform requirementQt > 0.15 GeV
µ+ or µ− Focussing Magnetic Field
Fraction of Events Passed by Cuts
-610 -510 -410 -310 -210 -110 1
Reconstruction Success
Fiducial
Max Momentum
Fitted proportion
Track quality
CC Selection
Kinematic
CC Signalµν
µνCC ID as µν
NC µν rec. from -µ
CC eν rec. from +µ
µνCC ID as τν
µνCC ID as τν
Consider νµ and ν̄µ appearance.
R. Bayes (University of Glasgow) A Neutrino Factory MIND at Large θ13 NUFACT, July 2012 9 / 18
Charge Current Selection Efficiencies
Signal Efficiencies
True Neutrino Energy0 1 2 3 4 5 6 7 8 9 10
Fra
ctio
nal E
ffici
ency
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
CC Signalµν
CC Signalµν
Background
True Neutrino Energy (GeV)0 1 2 3 4 5 6 7 8 9 10
Fra
ctio
nal B
ackg
roun
d
-510
-410
-310
µνCC ID as µνNC µν rec. from -µCCeν rec. from -µ
µνCC ID as τνµνCC ID as µν
NC µν rec. from +µCCeν rec. from +µ
µνCC ID as τν
All reconstruction efficiencies at or above 50%.Background suppressed by parts in 103.NC backgrounds completely suppressed.Efficiency behaviours different for positive and negative focussing.
R. Bayes (University of Glasgow) A Neutrino Factory MIND at Large θ13 NUFACT, July 2012 10 / 18
Charge Current Selection Efficiencies
Signal Efficiencies
True Neutrino Energy0 1 2 3 4 5 6 7 8 9 10
Fra
ctio
nal E
ffici
ency
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
CC Signalµν
CC Signalµν
Background
True Neutrino Energy (GeV)0 1 2 3 4 5 6 7 8 9 10
Fra
ctio
nal B
ackg
roun
d
-510
-410
-310
µνCC ID as µνNC µν rec. from -µCCeν rec. from -µ
µνCC ID as τνµνCC ID as µν
NC µν rec. from +µCCeν rec. from +µ
µνCC ID as τν
All reconstruction efficiencies at or above 50%.Background suppressed by parts in 103.NC backgrounds completely suppressed.Efficiency behaviours different for positive and negative focussing.
R. Bayes (University of Glasgow) A Neutrino Factory MIND at Large θ13 NUFACT, July 2012 10 / 18
Energy Response in Octagonal MINDAssuming 10 GeV factory
νµ Appearance Signal
Energy (GeV)νReconstructed 0 2 4 6 8 10
Ene
rgy
(GeV
)ν
Tru
e
0
1
2
34
5
6
78
9
10
-510
-410
-310
-210
-110
νµ App. ν̄µ CC Background
-710
-610
-510
-410
-310
Energy (GeV)νReconstructed 0 2 4 6 8 10
Ene
rgy
(GeV
)ν
Tru
e
0
1
2
34
5
6
78
9
10
ν̄µ Appearance Signal
-510
-410
-310
-210
-110
Energy (GeV)νReconstructed 0 2 4 6 8 10
Ene
rgy
(GeV
)ν
Tru
e 0
1
2
34
5
6
78
9
10
ν̄µ App. νµ CC Background
Energy (GeV)νReconstructed 0 2 4 6 8 10
Ene
rgy
(GeV
)ν
Tru
e
0
1
2
34
5
6
78
9
10
-710
-610
-510
-410
-310
Two ~B settings.
µ+ Focussing.
µ− Focussing.
Field settings runseparately.
Optimization stillrequired
R. Bayes (University of Glasgow) A Neutrino Factory MIND at Large θ13 NUFACT, July 2012 11 / 18
Energy Response in Octagonal MINDAssuming 10 GeV factory
νµ Appearance Signal
-510
-410
-310
-210
-110
Energy (GeV)νReconstructed 0 2 4 6 8 10
Ene
rgy
(GeV
)ν
Tru
e
0
1
2
34
5
6
78
9
10
νµ App. ν̄µ CC Background
-710
-610
-510
-410
-310
Energy (GeV)νReconstructed 0 2 4 6 8 10
Ene
rgy
(GeV
)ν
Tru
e
0
1
2
34
5
6
78
9
10
ν̄µ Appearance Signal
-510
-410
-310
-210
-110
Energy (GeV)νReconstructed 0 2 4 6 8 10
Ene
rgy
(GeV
)ν
Tru
e 0
1
2
34
5
6
78
9
10
ν̄µ App. νµ CC Background
-710
-610
-510
-410
-310
Energy (GeV)νReconstructed 0 2 4 6 8 10
Ene
rgy
(GeV
)ν
Tru
e
0
1
2
34
5
6
78
9
10
Two ~B settings.
µ+ Focussing.
µ− Focussing.
Field settings runseparately.
Optimization stillrequired
R. Bayes (University of Glasgow) A Neutrino Factory MIND at Large θ13 NUFACT, July 2012 11 / 18
Multi-Variate Analysis
A full multivariate analysis is under development.Use a set of correlated variables to select signal from background.
Should be able to achieve higher efficiency than existing analysis.Still a work in progress.
Variety of Methods Tested
Signal efficiency0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
Bac
kgro
un
d r
ejec
tio
n
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
MVA Method:BDTGBDTKNNRuleFitMLPCutsDLikelihoodLikelihoodPCAFDA_GA
LDCuts
Background rejection versus Signal efficiency
Example KNN Method
Cut value applied on KNN output0 0.2 0.4 0.6 0.8 1
Eff
icie
ncy
(P
uri
ty)
0
0.2
0.4
0.6
0.8
1
Signal efficiency
Background efficiency
Signal puritySignal efficiency*purity
S+BS/
For 624 signal and 50059 background isS+Bevents the maximum S/
16.3564 when cutting at 0.9876
Cut efficiencies and optimal cut value
Sig
nif
ican
ce
0246810121416
R. Bayes (University of Glasgow) A Neutrino Factory MIND at Large θ13 NUFACT, July 2012 12 / 18
Extracting Sensitivities from SimulationUse the simulation to produce "migration matrices"
Relates true neutrino energy to reconstructed energy.Contains efficiency, energy resolution, and response information.
Run pseudo-experiments with simulation package (ie. NuTS).
Data is composed of sum
ndatai = Msig
ij νsig(Ej) +∑
k
Mbkg,kij νbkg,k (Ej)
Define a fit of θ13 and δCP , simultaneously
χ2 = 2L∑
i=0
(AxN+,i(θ13, δCP)− ndata
+,i + ndata+,i ln
(ndata
+,iAxN+,i (θ13,δCP)
)+AN−,i(θ13, δCP)− ndata
−,i + ndata−,i ln
(ndata−,i
AN−,i (θ13,δCP)
)+ (A−1)2
σ2A
+ (x−1)2
σx
)
Systematic uncertainties —Number of Interactions & Known ν/ν̄ difference.
R. Bayes (University of Glasgow) A Neutrino Factory MIND at Large θ13 NUFACT, July 2012 13 / 18
Preliminary Precision in δCP For Octagonal MINDAssuming 10 GeV Factory, 10 years Running, 0.5× 1021 µ+ + 0.5× 1021 µ− per year
Uses cuts-based analysis.Consider µ+ and µ− focussingSystematic variations shown(σA, σX )=(1%, 1%)→(2.5%, 3%).
χ2 Contours; Arbitrary δCP , θ13 = 9◦
13θ22sin0.07 0.08 0.09 0.1 0.11 0.12 0.13 0.14 0.15
(deg
)C
Pδ
-150
-100
-50
0
50
100
150 sensitivityσ1
sensitivityσ3
sensitivityσ5
sensitivityσ1
sensitivityσ3
sensitivityσ5
sensitivityσ1
sensitivityσ3
sensitivityσ5
sensitivityσ1
sensitivityσ3
sensitivityσ5
sensitivityσ1
sensitivityσ3
sensitivityσ5
sensitivityσ1
sensitivityσ3
sensitivityσ5
sensitivityσ1
sensitivityσ3
sensitivityσ5
sensitivityσ1
sensitivityσ3
sensitivityσ5
sensitivityσ1
sensitivityσ3
sensitivityσ5
sensitivityσ1
sensitivityσ3
sensitivityσ5
sensitivityσ1
sensitivityσ3
sensitivityσ5
sensitivityσ1
sensitivityσ3
sensitivityσ5
sensitivityσ1
sensitivityσ3
sensitivityσ5
sensitivityσ1
sensitivityσ3
sensitivityσ5
sensitivityσ1
sensitivityσ3
sensitivityσ5
Error in δCP from 1 σ curves
(Deg)CPδ-200 -150 -100 -50 0 50 100 150 200
(D
eg)
CP
δ∆
0
1
2
34
5
6
78
9
10
(Deg)δ∆0 2 4 6 8 10
Fra
ctio
nδ
0
0.1
0.2
0.30.4
0.5
0.6
0.70.8
0.9
1
R. Bayes (University of Glasgow) A Neutrino Factory MIND at Large θ13 NUFACT, July 2012 14 / 18
Preliminary Precision in δCP For Octagonal MINDAssuming 10 GeV Factory, 10 years Running, 0.5× 1021 µ+ + 0.5× 1021 µ− per year
Uses cuts-based analysis.Consider µ+ and µ− focussingSystematic variations shown(σA, σX )=(1%, 1%)→(2.5%, 3%).
χ2 Contours; Arbitrary δCP , θ13 = 9◦
13θ22sin0.07 0.08 0.09 0.1 0.11 0.12 0.13 0.14 0.15
(deg
)C
Pδ
-150
-100
-50
0
50
100
150 sensitivityσ1
sensitivityσ3
sensitivityσ5
sensitivityσ1
sensitivityσ3
sensitivityσ5
sensitivityσ1
sensitivityσ3
sensitivityσ5
sensitivityσ1
sensitivityσ3
sensitivityσ5
sensitivityσ1
sensitivityσ3
sensitivityσ5
sensitivityσ1
sensitivityσ3
sensitivityσ5
sensitivityσ1
sensitivityσ3
sensitivityσ5
sensitivityσ1
sensitivityσ3
sensitivityσ5
sensitivityσ1
sensitivityσ3
sensitivityσ5
sensitivityσ1
sensitivityσ3
sensitivityσ5
sensitivityσ1
sensitivityσ3
sensitivityσ5
sensitivityσ1
sensitivityσ3
sensitivityσ5
sensitivityσ1
sensitivityσ3
sensitivityσ5
sensitivityσ1
sensitivityσ3
sensitivityσ5
sensitivityσ1
sensitivityσ3
sensitivityσ5
Error in δCP from 1 σ curves
(Deg)CPδ-200 -150 -100 -50 0 50 100 150 200
(D
eg)
CP
δ∆
0
1
2
34
5
6
78
9
10
(Deg)δ∆0 2 4 6 8 10
Fra
ctio
nδ
0
0.1
0.2
0.30.4
0.5
0.6
0.70.8
0.9
1
R. Bayes (University of Glasgow) A Neutrino Factory MIND at Large θ13 NUFACT, July 2012 14 / 18
Preliminary Sensitivity to δCPAssuming 10 GeV Factory, 10 years Running, 0.5× 1021 µ+ + 0.5× 1021 µ− per year
Contours determined using the expression
max(χ2(δCP = −180◦), χ2(δCP = 0◦), χ2(δ013 = 180◦))− χ2
min ≥ n2
Sensitivity curves
13θ22sin0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16
(deg
)C
Pδ
-150
-100
-50
0
50
100
150 sensitivityσ3
sensitivityσ5
sensitivityσ10
13θDaya Bay
5σ Discovery Potential
13θ22sin0 0.02 0.04 0.06 0.08 0.1 0.12 0.14
Fra
ctio
nC
Pδ
0
0.2
0.4
0.6
0.8
1
Both normal and inverted hierarchy cases are considered.
R. Bayes (University of Glasgow) A Neutrino Factory MIND at Large θ13 NUFACT, July 2012 15 / 18
Preliminary Sensitivity to δCPAssuming 10 GeV Factory, 10 years Running, 0.5× 1021 µ+ + 0.5× 1021 µ− per year
Contours determined using the expression
max(χ2(δCP = −180◦), χ2(δCP = 0◦), χ2(δ013 = 180◦))− χ2
min ≥ n2
Sensitivity curves
13θ22sin0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16
(deg
)C
Pδ
-150
-100
-50
0
50
100
150 sensitivityσ3
sensitivityσ5
sensitivityσ10
13θDaya Bay
5σ Discovery Potential
13θ22sin0 0.02 0.04 0.06 0.08 0.1 0.12 0.14
Fra
ctio
nC
Pδ
0
0.2
0.4
0.6
0.8
1
Both normal and inverted hierarchy cases are considered.
R. Bayes (University of Glasgow) A Neutrino Factory MIND at Large θ13 NUFACT, July 2012 15 / 18
What About Dipole Geometry at 10 GeV?Assuming 10 GeV Factory, 10 years Running, 0.5× 1021 µ+ + 0.5× 1021 µ− per year
Achieved 10−4 backgroundrejection in IDRSimilar efficiency.Optimized for two baselines.
χ2 Contours; Arbitrary δCP , θ13 = 9◦
13θ22sin0.07 0.08 0.09 0.1 0.11 0.12 0.13 0.14 0.15
(deg
)C
Pδ
-150
-100
-50
0
50
100
150 sensitivityσ1
sensitivityσ3
sensitivityσ5
sensitivityσ1
sensitivityσ3
sensitivityσ5
sensitivityσ1
sensitivityσ3
sensitivityσ5
sensitivityσ1
sensitivityσ3
sensitivityσ5
sensitivityσ1
sensitivityσ3
sensitivityσ5
sensitivityσ1
sensitivityσ3
sensitivityσ5
sensitivityσ1
sensitivityσ3
sensitivityσ5
Error in δCP from 1 σ curves
(Deg)CPδ-200 -150 -100 -50 0 50 100 150 200
(D
eg)
CP
δ∆
0
1
2
34
5
6
78
9
10
(Deg)δ∆0 2 4 6 8 10
Fra
ctio
nδ
0
0.1
0.2
0.30.4
0.5
0.6
0.70.8
0.9
1
R. Bayes (University of Glasgow) A Neutrino Factory MIND at Large θ13 NUFACT, July 2012 16 / 18
What does this tell us?
δCP Sensitivity curves
13θ22sin0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16
(deg
)C
Pδ
-150
-100
-50
0
50
100
150 sensitivityσ3
sensitivityσ5
sensitivityσ10
13θDaya Bay
5σ Discovery Potential
13θ22sin0 0.02 0.04 0.06 0.08 0.1 0.12 0.14
Fra
ctio
nC
Pδ
0
0.2
0.4
0.6
0.8
1
δCP precision and sensitivity comparable between dipole andtoroidal analyses for the same experimental conditions.Reduction of backgrounds does not increase sensitivity.Will reduction of energy threshold help?
R. Bayes (University of Glasgow) A Neutrino Factory MIND at Large θ13 NUFACT, July 2012 17 / 18
Outlook
There has been great progress in the past year.Complete change to GENIE event generator.Introduction of realistic octagonal geometryImprovement of reconstruction to allow toroidal field.
Still work in progressReconstruction of secondary, hadron tracks.Update to use multi-variate analysis.Optimize analysis for physics outcomes.
Early conclusionsPreliminary precision of δCP between 2◦ and 8◦ with toroidalmagnetic field.
R. Bayes (University of Glasgow) A Neutrino Factory MIND at Large θ13 NUFACT, July 2012 18 / 18