statistical power of mass hierarchy measurement (with ORCA) Aart Heijboer, Nikhef

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Aart Heijboer ● ORCA * catania workshop 1 statistical power of mass hierarchy measurement (with ORCA) Aart Heijboer, Nikhef

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statistical power of mass hierarchy measurement (with ORCA) Aart Heijboer, Nikhef. Computing oscillations probabilities. Oscillation probability given by P ab = |F ab | 2 with F the transition matrix is the flavour basis. 6. 5. 4. F = U V 6 V 5 V 4 V 3 V 2 V 1 U -1 - PowerPoint PPT Presentation

Transcript of statistical power of mass hierarchy measurement (with ORCA) Aart Heijboer, Nikhef

Page 1: statistical power of mass hierarchy measurement (with ORCA) Aart Heijboer, Nikhef

Aart Heijboer ● ORCA * catania workshop

sep 2009

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statistical power of mass hierarchy measurement(with ORCA)Aart Heijboer, Nikhef

Page 2: statistical power of mass hierarchy measurement (with ORCA) Aart Heijboer, Nikhef

Aart Heijboer ● ORCA * catania workshop

sep 2009

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Computing oscillations probabilities

2

3

4

56

F = U V

6 V

5 V

4 V

3 V

2 V

1 U-1

The product of transition matrices computedfor a matter of constant density

i.

Oscillation probability given by Pab

= |Fab

|2

with F the transition matrix is the flavour basis

several options to compute exp in practice Cayleigh-Hamilton formalism (hep-ph/9910546) Diagonalize H power series for exp.

Cross-checked with published plots and 'Globes' package.all methods agree

Page 3: statistical power of mass hierarchy measurement (with ORCA) Aart Heijboer, Nikhef

Aart Heijboer ● ORCA * catania workshop

sep 2009

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note allowed ranges are not identical for NH and IH → taken into account in the following plots

assumed zero

taken from most recent global-data fit Arxiv:1205.5254

Inputs for oscillations probabilities

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Aart Heijboer ● ORCA * catania workshop

sep 2009

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Oscillation probability ( → ) for straight up

beware: there are also plots around which accidentally exaggerate the NH/IH difference by comparing the central value or NH with a IH curve at the ~1 sigma edge of the allowed global fit.

NH/IH difference largely degenerate with change in m2

large

Page 5: statistical power of mass hierarchy measurement (with ORCA) Aart Heijboer, Nikhef

Aart Heijboer ● ORCA * catania workshop

sep 2009

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Other zenith angles...

effect is fairly large, but... almost opposite for anti-neutrinos will be washed out by E- and angle

resolutions

next step: compute realistic event rates

Page 6: statistical power of mass hierarchy measurement (with ORCA) Aart Heijboer, Nikhef

Aart Heijboer ● ORCA * catania workshop

sep 2009

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Interaction rates : ingredients

cross-sections

neutrino fluxes (Bartol), include e

cross-sections from integrating DIS formula (approximates to ~20% genie and measurements)

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Aart Heijboer ● ORCA * catania workshop

sep 2009

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Interaction rates

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Aart Heijboer ● ORCA * catania workshop

sep 2009

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Adding detector effects

This is where the guess-work starts; all results depend crucially on these assumptions

assume zenith angle muon is measured perfectly. resolution comes for angle between and

Neutrino energy resolution: assume 25% requires reconstruction of muon and hadronic shower

Acceptance: neutrino vertex inside instrumented volumerequire 15 hits (educated guess: need direction, E-resolution,

rejection of atm. muons.).

geant4 simwith full photon

tracking

assumed detector:(100m)3 =1Mton

6x6 strings20 oms/string

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Aart Heijboer ● ORCA * catania workshop

sep 2009

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Effect of detector on oscillogram: NH

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Aart Heijboer ● ORCA * catania workshop

sep 2009

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Effect of detector on oscillogram: IH

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Aart Heijboer ● ORCA * catania workshop

sep 2009

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difference between NH(central values fromglobal fit) and IH (central values fromglobal fit)

after accounting for assumed detector resolutions: maximum rate difference between NH and IH ~10% to be compared to other uncertainties

(e.g. on mixing angles and masses → next slide).

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Aart Heijboer ● ORCA * catania workshop

sep 2009

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effect of parameter uncertainties : NHeach plot compares central values with +1 sigma variation in each parameter

→ cannot be neglected: need to deal with these (nuisance) parameters

Page 13: statistical power of mass hierarchy measurement (with ORCA) Aart Heijboer, Nikhef

Aart Heijboer ● ORCA * catania workshop

sep 2009

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(Optimal) analysis to distinguish NH and IH

Optimal observable to distinguish between NH and IH hypotheses = Maximum likelihood rato

So this means, for each pseudo-experiment (data):1. assume NH and find by maximizing (this involves computing many smeared-oscillograms for NH)2. do the same for IH3. compute

The likehood contains a gaussian constraint representing the current knowledge from the global fit m2

21 and

21 are fixed in the fit to gain speed

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Aart Heijboer ● ORCA * catania workshop

sep 2009

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Results of parameter fit on (NH) peudo-experiments

true value drawn from global-fit-allowed range

fitted

va

lue

ORCA can improve the current uncertainty for m2

large &

23

already with 1 year of data

13

) still dominated by other data

(via Gaussian constraint in the likelihood)after 10 Mtonyr → ORCA not very sensitive to it.

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Aart Heijboer ● ORCA * catania workshop

sep 2009

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likelihood ratio distribution...

...for toy experimentsin which the truehierarchy is normalor inverted.

remember: resultsdepend cruciallyon assumptionson resolution anddetector layour andacceptance

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Aart Heijboer ● ORCA * catania workshop

sep 2009

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likelihood ratio distribution

for toy experimentsin which the truehierarchy is normalor inverted.

remember: resultsdepend cruciallyon assumptionson resolution anddetector layour andacceptance.

expressed in sigma's,separation betweenNH and IH = 3 sigmawith 10 Mton x year.

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Aart Heijboer ● ORCA * catania workshop

sep 2009

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Conclusions / thoughts

Full toy analysis set up, including oscillation fitgood sensitivity to m2

large &

23 before we can do MH

Determining MH is not an easy measurementFor assumed detector performance, need 10 Mton x year for 3 sigmaOf course, assumptions could be pessimisticStill several sources of systematic to be accounted for

(earth density, rate normalization, cross-sections,....)

Determining the mass hierarchy with this type of detector requires Large instrumented volume (1 Mton is not enough )

When we have full simulation and reconstruction, we should investigate sparse (or variable-density ) detectors

( But demands on (energy) reconstruction quality are very high )