NuMI Neutrino Flux Predictions
Alexander Radovic College of William and Mary
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Alexander Radovic NuMI neutrino flux predictions
NuMI Neutrino Flux Predictions Alexander Radovic College of - - PowerPoint PPT Presentation
NuMI Neutrino Flux Predictions Alexander Radovic College of William and Mary Alexander Radovic NuMI neutrino flux predictions 1 The NuMI Beam NuMI = Neutrinos at the Main Injector Target: two distinct styles (MINOS-era [le],
Alexander Radovic College of William and Mary
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Alexander Radovic NuMI neutrino flux predictions
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Alexander Radovic NuMI neutrino flux predictions
NuMI = Neutrinos at the Main Injector
Two “horns” produce magnetic fields that focus secondaries
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Alexander Radovic NuMI neutrino flux predictions
NuMI = Neutrinos at the Main Injector
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Alexander Radovic NuMI neutrino flux predictions
MINOS (LE): NOvA (ME):
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Alexander Radovic NuMI neutrino flux predictions
MINOS (LE): NOvA (ME):
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Alexander Radovic NuMI neutrino flux predictions
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Alexander Radovic NuMI neutrino flux predictions
Who uses NuMI? One Beamline - Many Experiments:
LBNF) The NuMI-X mission statement: Get all the NuMI experiments “on board” to work
To produce a reference flux that all NuMI experiments can use.
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Alexander Radovic NuMI neutrino flux predictions
Relative positioning affects focusing, and thus the spectrum: (on-axis) (14 mrad) (7.34 mrad)
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Alexander Radovic NuMI neutrino flux predictions
What do we know a priori?
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Alexander Radovic NuMI neutrino flux predictions
Unifying disparate code bases:
Unifying the output format — Dk2Nu:
pre-calculated detector location energies and weights
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Alexander Radovic NuMI neutrino flux predictions
g4numi_flugg = fluka physics + G4 geometry + flugg “glue”:
used “out of the box” g4numi = pure Geant4:
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Alexander Radovic NuMI neutrino flux predictions
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Alexander Radovic
Neutrino flux prediction is notoriously difficult, relying on the extrapolation of sparse fixed target data to the energies seen on the NuMI target. Estimates of focusing and geometric uncertainties in the final flux prediction are estimated by producing alternative flux MC shifted to their 1sigma uncertainties.
True Neutrino Energy (GeV) 5 10 15 20 25 30
nominal0.98 1.00 1.02 1.04 MINOS+ PRELIMINARY
Horn Current Miscalibration Systematic Beam Flux Simulation 200 kAmp Nominal vs. 199 kAmp Distribution Far Detector Ratio Near Detector Ratio Far/Near Double Ratio
True Neutrino Energy (GeV) 5 10 15 20 25 30
nominal0.98 1.00 1.02 1.04 MINOS+ PRELIMINARY
Horn 1 Alignment Systematic Beam Flux Simulation - Near Detector Only Nominal Position vs. 0.5mm Shifts 0.5mm Horizontal Shift + 0.5mm Horizontal Shift
+ 0.5mm Vertical Shift
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NuMI neutrino flux predictions
What can we learn about the beam from our data and external constraints?
Alexander Radovic
Alexander Radovic
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NuMI neutrino flux predictions
Multiple detector locations:
Multiple target designs:
Horn current affects focussing:
One approach is to use a physically motivated hadron production parameterization and focusing uncertainties to create a fit which uses all our available beam modes to constrain our flux prediction. At MINOS the hadron production parameterization is a slightly altered version of the BMPT parameterization where we use linear warpings of some
production in the fit.
Alexander Radovic
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NuMI neutrino flux predictions
Muon-Neutrino CC selected sample
Reconstructed Energy (GeV)
Data/MC disagreement varies as a function of energy in different beam modes, suggesting that flux uncertainties rather than detector or cross-section uncertainties are dominating the Near Detector Discrepancy. Each beam mode also gives us access to a different region of Pion and Kaon production phase space so that we can better constrain our parameterization of the raw yield of hadron production coming off of the target.
NuMI neutrino flux predictions Alexander Radovic
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NuMI neutrino flux predictions Alexander Radovic
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NuMI neutrino flux predictions Alexander Radovic
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NuMI neutrino flux predictions Alexander Radovic
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Historically we made use of the power of the old beam to run in different beam modes to access a wide range of Pion/Kaon kinematics and deconvolve cross section effects. Can we do something similar in the ME beam by looking at different spectra in the same beam?
Alexander Radovic
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NuMI neutrino flux predictions
π+ MINOS π+ NOvA K+ MINOS K+ NOvA
Yet another approach is to attempt to measure the flux by measuring the rate and energy of muons produced in pion and kaon decays in the NuMI decay pipe. Laura Loiacono performed that analysis* using the Muon Monitors just after the decay pipe. Whilst the fit has a large uncertainty the final result is largely consistent with that of the MINOS beam fitting. With work they could be a powerful constraint on the new beam.
Alexander Radovic
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P+ Weights
*Laura Jean Loiacono, University of Texas at Austin, May 2010 “Measurement of the muon neutrino inclusive charged current cross section on iron using the MINOS detector” Fermilab-Thesis-2011-06
Alexander Radovic
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NuMI neutrino flux predictions
Monitor 1: Monitor 2: Monitor 3:
Another approach is to attempt to measure the flux by selecting events with a well understood cross section. One approach is to select for CC events with a low inelasticity*neutrino energy or “𝝃”. Used in a preliminary MINOS cross section analysis* this study showed that data/MC discrepancy at the MINOS ND was indeed largely driven by the difference between the measured and predicted flux.
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NuMI neutrino flux predictions
*Debdatta Bhattacharya, March 2009, “Neutrino and antineutrino inclusive charged-current cross section measurement with the MINOS near detector”, Fermilab-Thesis-2009-11
Alternatively we can reweight our MC our yield of cross-sections to information from fixed target experiments. MINERvA will cover this topic in detail in the next talk, but broadly we can use thin target data (NA49 etc.) and reweight each interaction or use thick target data (MIPP, USNA61) and reweight the yield. New thick target data is needed to characterize the new ME beam.
Alexander Radovic
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NuMI neutrino flux predictions
thoroughly & efficiently test and tune their MC geometries.
give us strong constraints on our hadron yield but we need USNA61 to really understand the new beam.
constraining and understanding the new NuMI beam but will have to work harder than ever before now that we no longer have access to a plethora of alternative beam modes.
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Alexander Radovic NuMI neutrino flux predictions
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Alexander Radovic NuMI neutrino flux predictions
Relative positioning affects focusing, and thus the spectrum:
E (GeV)
5 10 15 CC / 6E20 POT / kTON / 50 MeV ν
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10
10
10
10 1 10 Total
µ
ν
µ
ν MINOS+ Preliminary
98.3% νμ (1-3GeV) 1.7% ν̅μ 97.3% (1-3GeV) 2.7% ν̅μ
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Alexander Radovic
Those alternative parameterizations can then be propagated to our final MC neutrino reconstructed energy and used to generate a covariance matrix describing both the uncertainty on individual bins and how we would expect that any shifts to be correlated with neighboring energy bins.
NuMI neutrino flux predictions
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Alexander Radovic
Hadron Production Uncertainty
Ultimately these large FD uncertainties cancel in a Far/Near ratio
Those alternative parameterizations can then be propagated to our final MC neutrino reconstructed energy and used to generate a covariance matrix describing both the uncertainty on individual bins and how we would expect that any shifts to be correlated with neighboring energy bins.
Hadron Production Uncertainty
NuMI neutrino flux predictions
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Alexander Radovic
MINOS numisoft NOvA fork Minerva fork nova branch minerva branch proto2-numix branch proto1-numix branch numi-beam-sim
flugg g 4 n u m i
2009-09 2010-08 1999-07 2013-05 2014-09
unified trunk
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Alexander Radovic NuMI neutrino flux predictions
Original Fit to Hadron yield:
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Alexander Radovic NuMI neutrino flux predictions
What we fit for:
NuMI neutrino flux predictions Alexander Radovic
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NuMI neutrino flux predictions Alexander Radovic
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Alexander Radovic NuMI neutrino flux predictions
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Alexander Radovic
NA49 P+
NuMI neutrino flux predictions
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Alexander Radovic
NA49 K+
NuMI neutrino flux predictions
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Alexander Radovic
NuMI neutrino flux predictions