[pdf]
[png]
02_Bi-Probability_Plots
This plot demonstrates the principle by which NOvA determines the mass hierarchy and measures the CP phase. NOvA essentially measures two oscillation probablities, one in neutrino mode (a point on the x-axis) and one in anti-neutrino mode (a point on the y-axis). The ellipses show the delta_cp values and choice of hierarchy that could yield from the oscillation probability measurements given a sin^2(2*theta_13) value. The blue curves are for the normal hierarchy and the red curves are for the inverted hierarchy. On each ellipse, the choice of the CP phase delta varies as one moves around the ellipse as indicated by the symbols. This assumes maximal maxing in the theta_23 octant. |
[pdf]
[png]
03_Bi-Probability_Plots
This plot demonstrates the principle by which NOvA determines the mass hierarchy and measures the CP phase. NOvA essentially measures two oscillation probablities, one in neutrino mode (a point on the x-axis) and one in anti-neutrino mode (a point on the y-axis). The ellipses show the delta_cp values and choice of hierarchy that could yield from the oscillation probability measurements given a sin^2(2*theta_13) value. The blue curves are for the normal hierarchy and the red curves are for the inverted hierarchy. On each ellipse, the choice of the CP phase delta varies as one moves around the ellipse as indicated by the symbols. This assumes maximal maxing in the theta_23 octant. |
[pdf]
[png]
04_Bi-Probability_Plots
This plot demonstrates the principle by which NOvA determines the mass hierarchy and measures the CP phase. NOvA essentially measures two oscillation probablities, one in neutrino mode (a point on the x-axis) and one in anti-neutrino mode (a point on the y-axis). The ellipses show the delta_cp values and choice of hierarchy that could yield from the oscillation probability measurements given a sin^2(2*theta_13) value. The blue curves are for the normal hierarchy and the red curves are for the inverted hierarchy. On each ellipse, the choice of the CP phase delta varies as one moves around the ellipse as indicated by the symbols. This assumes maximal maxing in the theta_23 octant. |
[pdf]
[png]
07_Bi-Probability_Plots
This plot demonstrates the principle by which NOvA determines the mass hierarchy and measures the CP phase. NOvA essentially measures two oscillation probablities, one in neutrino mode (a point on the x-axis) and one in anti-neutrino mode (a point on the y-axis). The ellipses show the delta_cp values and choice of hierarchy that could yield from the oscillation probability measurements given a sin^2(2*theta_13) value. The blue curves are for the normal hierarchy and the red curves are for the inverted hierarchy. On each ellipse, the choice of the CP phase delta varies as one moves around the ellipse as indicated by the symbols. This assumes maximal maxing in the theta_23 octant. |
[pdf]
[png]
09_Bi-Probability_Plots
This plot demonstrates the principle by which NOvA determines the mass hierarchy and measures the CP phase. NOvA essentially measures two oscillation probablities, one in neutrino mode (a point on the x-axis) and one in anti-neutrino mode (a point on the y-axis). The ellipses show the delta_cp values and choice of hierarchy that could yield from the oscillation probability measurements given a sin^2(2*theta_13) value of 0.095. One can imagine that NOvA makes a measurement of oscillation probability in each neutrino mode (after 3 years of running in each mode) that yields the starred point. The contours are the 1- and 2-sigma measurements assuming oscillations with the parameters chosen at the starred point. The hierarchy is resolved and CP phase is constrained for particular values of delta at the 2-sigma level. This assumes maximal maxing in the theta_23 octant.
|
[pdf]
[png]
10_Bi-Probability_Plots
This plot demonstrates the principle by which NOvA determines the mass hierarchy and measures the CP phase. NOvA essentially measures two oscillation probablities, one in neutrino mode (a point on the x-axis) and one in anti-neutrino mode (a point on the y-axis). The ellipses show the delta_cp values and choice of hierarchy that could yield from the oscillation probability measurements given a sin^2(2*theta_13) value of 0.095. One can imagine that NOvA makes a measurement of oscillation probability in each neutrino mode (after 3 years of running in each mode) that yields the starred point. The contours are the 1- and 2-sigma measurements assuming oscillations with the parameters chosen at the starred point. The hierarchy is resolved and CP phase is constrained for particular values of delta at the 2-sigma level. This assumes maximal maxing in the theta_23 octant.
|
[pdf]
[png]
14_Bi-Probability_Plots
This plot demonstrates the principle by which NOvA determines the mass hierarchy and measures the CP phase. NOvA essentially measures two oscillation probablities, one in neutrino mode (a point on the x-axis) and one in anti-neutrino mode (a point on the y-axis). The ellipses show the delta_cp values and choice of hierarchy that could yield from the oscillation probability measurements given a sin^2(2*theta_13) value of 0.095. One can imagine that NOvA makes a measurement of oscillation probability in each neutrino mode (after 3 years of running in each mode) that yields the starred point. The contours are the 1- and 2-sigma measurements assuming oscillations with the parameters chosen at the starred point. The hierarchy is resolved and CP phase is constrained for particular values of delta at the 2-sigma level. This assumes maximal maxing in the theta_23 octant.
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[pdf]
[png]
20_contour2D_p100_nondegen
Example NOvA 1sigma and 2sigma C.L. contours for the test point shown (normal hierarchy, sin2(2Theta_13)=0.095, sin2(2Theta_23)=1, delta=3pi/2). The vertical axis is a mapping of Theta_23 that is relevant for numu to nue experiments (in that sin2(Theta_23) is a coefficient on the leading-order term in the appearance probability) and that gives information about the Theta_23 octant (with maximal mixing occurring at 2 sin2(Theta_23)=1). This figure gives the sensitivity of a combined analysis of NOvA nue/anti-nue and numu/anti-numu data sets. The contours shown are 2D confidence intervals, representing our sensitivity to a joint measurement of 2 sin2(Theta_23) and delta. NOTE: for this non-degenerate, near-best-case test point, the wrong hierarchy is excluded at the 2sigma C.L. (i.e., there are no red contours on the figure).
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[pdf]
[png]
21_contour2D_p100_neardegen
Example NOvA 1sigma and 2sigma C.L. contours for the test point shown (normal hierarchy, sin2(2Theta_13)=0.095, sin2(2Theta_23)=1, delta=pi/2). NOTE: this is an example difficult test point, near the fully degenerate case.
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[pdf]
[png]
22_contour2D_p97_nondegen
Example NOvA 1sigma and 2sigma C.L. contours for the test point shown (normal hierarchy, sin2(2Theta_13)=0.095, sin2(2Theta_23)=0.97, delta=3pi/2). NOTE: this is an example of a non-maximal-mixing scenario in which we constrain the hierarhcy, delta, and the Theta_23 octant to varying degrees.
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[pdf]
[png]
23_contour2D_p97_neardegen
Example NOvA 1sigma and 2sigma C.L. contours for the test point shown (normal hierarchy, sin2(2Theta_13)=0.095, sin2(2Theta_23)=0.97, delta=pi/2). See "46_contour2D_1p00_nondegen" for a full description. NOTE: this is an example of a non-maximal-mixing scenario at a difficult value of delta.
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[pdf]
[png]
25_contour2D_p95_neardegen
Example NOvA and 2sigma C.L. contours for the test point shown (normal hierarchy, sin2(2Theta_13)=0.095, sin2(2Theta_23)=0.95, delta=pi/2). NOTE: this is an example of an even more non-maximal-mixing scenario, but at a difficult value of delta.
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[pdf]
[png]
30_CPSignificance
Significance with which NOvA can establish CP violation (delta != 0, pi) for the given values of sin2(2theta_13) and sin2(2theta_23) as a function of delta. This assumes a nominal 3+3 year run plan. The blue solid (red/dashed) curve shows the sensitivity given a normal (inverted) hierarchy. It is instructive to look at the bi-probability plots together with this figure to understand the dips. NOvA will be the first experiment to provide constraints on delta, but we will have a difficult time firmly establishing CP violation after a 6-year run. The CPv significance in the best-case scenario is 1.74 sigma (~92% C.L.)
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[pdf]
[png]
31_CPSignificance_with_t2k
Version of the previous plot with T2K information included.
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[pdf]
[png]
40_DeltaFractionvsHierarchySignificance
The fraction of delta values covered at a given significance in the normal hierarchy case on the previous page. For example: given the oscillation parameters listed at the top of this figure, NOvA can determine the mass hierarchy at 95% C.L. (~2sigma) for 37% of delta values.
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[pdf]
[png]
41_DeltaFractionvsHierarchySignificance_with_t2k
Version of the previous plot with T2K information included.
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[pdf]
[png]
50_HierarchySignificance
Significance with which NOvA can resolve the mass hierachy for the given values of sin2(2Theta_13) and sin2(2Theta_23) as a function of delta. This assumes a nominal 3+3 year run plan. The blue/solid (red/dashed) curve shows the sensitivity given a normal (inverted) hierarchy. The sensitivity goes to zero in this counting-only analysis at the delta values where the ellipses in the bi-probability plots intersect.
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[pdf]
[png]
51_HierarchySignificance_with_t2k
Version of the previous plot that includes T2K numu->nue observations, with T2K predictions based on numbers in their 2011 publication and on 5.5E21 p.o.t., a number that comes from projections for 2019, current as of the LBNE reconfiguration workshop in April.
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[pdf]
[png]
60_ExposureAssumptions
Nominal NOvA exposure versus time.
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[pdf]
[png]
61_Th13CLvsTime
NOvA nue appearance significance versus time, assuming the exposures in the previous plot and a switch to anti-neutrino running after 12 months. The blue curves show our sensitivity in the numu->nue channel; the red in the anti-numu -> anti-nue channel; and the black for the combined samples. The solid (dashed) curves show the sensitivity for the normal (inverted) hierarchy case. Other assumed oscillation parameters are listed in the figure.
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[pdf]
[png]
[eps]
010-nus-spectrum-sum
The reconstructed shower energy spectrum for NC-like events. The results for 3 years of neutrino running are summed with results from 3 years of anti-neutrino running. The dashed histogram shows thee spectrum calculated at the 90% preliminary SK limit on sterile content. NOvA should push this limit about another factor of 2 further.
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[pdf]
[png]
[eps]
020-nus-spectrum-nu
NC spectrum for 3-year neutrino run.
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[pdf]
[png]
[eps]
030-nus-spectrum-antinu
NC-like spectrum for a 3-year anti-neutrino run.
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[png]
035-nus-annpid
Output of neutral-net particle ID parameter trained to identify NC
events. The points show the total NC-like sample, the dashed histogram
is the true NC event sample, the blue is the numu-CC sample and the
pink dashed curve is the nue-CC event sample. Plot was made for
neutrino beam focus.
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[png]
040-nus-event-table
Summary of event rates in the nu-sterile analysis after 3 stages of event selection. Final purity of the NC-like sample is 91%. The left-most column is the total number of NC-like events and the three right columns break the total down by event type. Numbers assume a three-year neutrino run at 700 kW.
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[pdf]
[png]
[eps]
050-nus-sensitivity
Sensitivity to numu-nus oscillations assuming 5% uncertainty on
backgrounds. The top curve assumes only statistical errors, the bottom
includes 5% systematic on backgrounds. The 90% CL limits are <6.4%
sterile content (stat. only) and <11.8% (stat. + syst.).
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[pdf]
[png]
[eps]
100-contours
The expected 1 and 2 sigma measurements of sin^2 2 theta_23 for 6
years of NOvA running (3 yrs in neutrino mode + 3 yrs in anti-neutrnio
mode) using numu quasi elastic events in NOvA. The input deltaM^2 is
taken to coincide with recent MINOS measurements and thress choices of
mixing angle are made consistent with the data from Super-Kamiokande
(>0.92 at 90% CL). Contant: Greg Pawloski.
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[pdf]
[png]
[eps]
110-contourDiff_nu1years_nubar1years
NOvA contours for the difference in neutrino and anti-neutrino muon
neutrino disappearance parameters. The difference is set to coincide
with the recent difference reported by MINOS at 2-sigma CL. Contours
are based on one year of neutrino running and one year of
anti-neutrino running and use quasi-elastic events.
Contact: Greg Pawloski
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[pdf]
[png]
[eps]
120-contourDiff_nu3years_nubar3years
NOvA contours for the difference in neutrino and anti-neutrino muon
neutrino disappearance parameters. The difference is set to coincide
with the recent difference reported by MINOS at 2-sigma CL. Contours
are based on three years of neutrino running and three years of
anti-neutrino running and use quasi-elastic events.
Contact: Greg Pawloski
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[pdf]
[png]
[eps]
140-ambigPP
For points to the right-hand side of the curves the octant of the theta_23 angle is resolved by a combination of NOvA and a Daya Bay-like reactor neutrino experiment. If theta_23 is less than 45 degrees then the muon neutrino couples more strongly to the m_2 state, if large than 45 degrees is couples more strongly to the m_3 state. The resolution is possible because NOvA measures only electron to muon neutrino conversion while the reactor measures electron to muon+tau conversion.
Contact: Gary Feldman
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[pdf]
[png]
[eps]
200-spectra-3years-overlaid
Shows the combined energy spectra for numu+numbar assuming the same oscillation parameters (without and with oscillations (MINOS numu best fit))
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[pdf]
[png]
[eps]
210-spectra-3years-noOsc
Shows the combined without oscillations
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[pdf]
[png]
[eps]
220-spectra-3years
Shows the combined with oscillations.
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[pdf]
[png]
[eps]
230-spectra-3years-CPTViolation-overlaid
Shows the numu and numubar spectra separately with and without oscillations assuming the previous minos best fit values for numu and numubar.
MINOS numu best fit is:
dm = 2.35 x 10^-3 eV^2, sin^2(2t)=1
MINOS numubar best fit is:
dm = 3.36 x 10^-3 eV^2, sin^2(2t)=0.86
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[pdf]
[png]
[eps]
240-spectra_3years_CPTViolation
Shows the numu and numubar spectra separately with oscillations assuming the previous minos best fit values for numu and numubar.
MINOS numu best fit is:
dm = 2.35 x 10^-3 eV^2, sin^2(2t)=1
MINOS numubar best fit is:
dm = 3.36 x 10^-3 eV^2, sin^2(2t)=0.86
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[pdf]
[png]
[eps]
250-spectra-3years-dm
Show how the combined spectrum changes if you change the nova best fit values by the 2D contour 1 sigma values.
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[pdf]
[png]
[eps]
260-spectra-3years-sine986
Show how the combined spectrum changes if you change the nova best fit values by the 2D contour 1 sigma values.
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[pdf]
[png]
[eps]
010-Uncalibrated-ADC
ADC distributions for various W slices before attenuation corrections.
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[pdf]
[png]
[eps]
020-Calibrated-ADC
ADC distributions for various W slice after attenuation corrections.
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[pdf]
[png]
[eps]
030-ADC-Fitting-Function
Distance from the center of the detector vs mean ADC value per cm. Fitted this curve to get the attenuation correction function.
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[pdf]
[png]
[eps]
040-Michel-Electron-ADC
Michel electron ADC distribution. Selected by requiring a good cluster to be within 30 cm of muon end point and between 3 and 10 mu-sec of muon.
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[pdf]
[png]
[eps]
041-Michel-Electron-T
Michel electron timing distribution (relative to muon). Mean life time [usec]= 2.139 ± 0.013 after fitting.
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[pdf]
[png]
[eps]
050-NoCPL_febNDOS_CellSet4_EarlyData_plane15_feb0
n/a
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[pdf]
[png]
[eps]
051-NoCPL_febNDOS_CellSet4_EarlyData_plane42_feb1
n/a
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[pdf]
[png]
[eps]
052-NoCPL_febNDOS_CellSet4_EarlyData_plane48_feb1
n/a
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[pdf]
[png]
[eps]
060-NoCPL_febNDOS_CellSet4_plane15_feb0
n/a
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[pdf]
[png]
[eps]
061-NoCPL_febNDOS_CellSet4_plane42_feb1
n/a
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[pdf]
[png]
[eps]
062-NoCPL_febNDOS_CellSet4_plane48_feb0
n/a
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[pdf]
[png]
[eps]
070-NoCPL_febNDOS_TotalFEB_EarlyData_plane15_feb0
n/a
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[pdf]
[png]
[eps]
071-NoCPL_febNDOS_TotalFEB_EarlyData_plane42_feb1
n/a
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[pdf]
[png]
[eps]
072-NoCPL_febNDOS_TotalFEB_EarlyData_plane48_feb0
n/a
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[pdf]
[png]
[eps]
080-NoCPL_febNDOS_TotalFEB_plane15_feb0
n/a
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[pdf]
[png]
[eps]
081-NoCPL_febNDOS_TotalFEB_plane42_feb1
n/a
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[pdf]
[png]
[eps]
082-NoCPL_febNDOS_TotalFEB_plane48_feb0
n/a
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[pdf]
[png]
[eps]
090-muon_hit_loss
(Non-experts should consider using the other version, without the dashed
curves.) Simulated efficiencies for detecting muon hits in the NOvA FD,
shown as a function of position along the cell with more positive
positions being closer to the cell readout. The black curve shows the
NOvA technical design report's expectation. The solid colored curves give
the performance assuming observed noise rates in the NDOS and observed
full-length module light levels obtained with the "vertical slice" test
setup. The warm and cold curves differ only in their hit trigger
threshold, as warm APDs require a higher threshold to maintain a tolerable
noise rate. The dashed curves show the efficiencies if the final
signal-to-noise ratio is 12% higher. (Our expected signal-to-noise could
go up through, for example, final optimization of APD gains and ASIC
shaping curves, or via the fact that the 31 PE number taken from the
vertical slice is likely to be a lower limit, given the imperfections in
that very early module's production.)
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[pdf]
[png]
[eps]
091-muon_hit_loss2
Simulated efficiencies for detecting muon hits in the NOvA FD, shown as a
function of position along the cell with more positive positions being
closer to the cell readout. The black curve shows the NOvA technical
design report's expectation. The colored curves give the performance
assuming observed noise rates in the NDOS and observed full-length module
light levels obtained with the "vertical slice" test setup. The warm and
cold curves differ only in their hit trigger threshold, as warm APDs
require a higher threshold to maintain a tolerable noise rate.
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[pdf]
[png]
10_mdc_spect_norm_jmid_chunkmdc1
jmId spectrum - 3yrs
The PID spectrum for the jmId PID from 3 years' worth (18e20 POT) of FHC mock data.
The points with errors are the mock data. Ther black curve shows the prediction without nue appearance. The red shows the prediction at the best fit theta13. Blue, gray, and magenta show the NC, numu CC, and intrinsic beam contributions to the black curve respectively.
The binning shown is that used for the subsequent fits
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[pdf]
[png]
11_mdc_spect_norm_jmid_hadd
jmId spectrum - high stats
The PID spectrum for the jmId PID from all MDC experiments combined.
The points with errors are the mock data. Ther black curve shows the prediction without nue appearance. The red shows the prediction at the best fit theta13. Blue, gray, and magenta show the NC, numu CC, and intrinsic beam contributions to the black curve respectively.
The binning shown is that used for the subsequent fits
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[pdf]
[png]
20_mdc_spect_norm_lem_chunkmdc1
LEM spectrum - 3yrs
The PID spectrum for the jmId PID from 3 years' worth (18e20 POT) of FHC mock data.
The points with errors are the mock data. Ther black curve shows the prediction without nue appearance. The red shows the prediction at the best fit theta13. Blue, gray, and magenta show the NC, numu CC, and intrinsic beam contributions to the black curve respectively.
The binning shown is that used for the subsequent fits
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[pdf]
[png]
21_mdc_spect_norm_lem_hadd
LEM spectrum - high stats
The PID spectrum for the jmId PID from all MDC experiments combined.
The points with errors are the mock data. Ther black curve shows the prediction without nue appearance. The red shows the prediction at the best fit theta13. Blue, gray, and magenta show the NC, numu CC, and intrinsic beam contributions to the black curve respectively.
The binning shown is that used for the subsequent fits
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[pdf]
[png]
30_mdc_surf_jmid_chunkmdc1
jmId Contours - 3yrs
Allowed regions from a PID-binned fit to a combination of MDC files totalling 18e20 POT (3 years).
The black point shows the true parameters at which the mock data was simulated (normal hierarchy). The colored points show the best fit under the two hierarchy assumptions (red: normal, blue: inverted), and the dashed and solid curves show 68% and 90% confidence intervals. The true point is consistent with the contours.
Parameters other than theta13 and delta were held fixed.
We gain some sensitivity to delta from the shape of the PID distributions.
No external (eg reactor) constraints or reversed-horn mode was included.
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[pdf]
[png]
31_mdc_surf_jmid_hadd
jmId Contours - high stats
Allowed regions from a PID-binned fit to the full-stats MDC (corresponding to approximately 16 years of running).
The black point shows the true parameters at which the mock data was simulated (normal hierarchy). The colored points show the best fit under the two hierarchy assumptions (red: normal, blue: inverted), and the dashed and solid curves show 68% and 90% confidence intervals. The true point is consistent with the contours.
Parameters other than theta13 and delta were held fixed.
We gain some sensitivity to delta from the shape of the PID distributions.
No external (eg reactor) constraints or reversed-horn mode was included.
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[pdf]
[png]
40_mdc_surf_lem_chunkmdc1
LEM Contours - 3yrs
Allowed regions from a PID-binned fit to a combination of MDC files totalling 18e20 POT (3 years).
The black point shows the true parameters at which the mock data was simulated (normal hierarchy). The colored points show the best fit under the two hierarchy assumptions (red: normal, blue: inverted), and the dashed and solid curves show 68% and 90% confidence intervals. The true point is consistent with the contours.
Parameters other than theta13 and delta were held fixed.
We gain some sensitivity to delta from the shape of the PID distributions.
No external (eg reactor) constraints or reversed-horn mode was included.
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[pdf]
[png]
41_mdc_surf_lem_hadd
LEM Contours - high stats
Allowed regions from a PID-binned fit to the full-stats MDC (corresponding to approximately 16 years of running).
The black point shows the true parameters at which the mock data was simulated (normal hierarchy). The colored points show the best fit under the two hierarchy assumptions (red: normal, blue: inverted), and the dashed and solid curves show 68% and 90% confidence intervals. The true point is consistent with the contours.
Parameters other than theta13 and delta were held fixed.
We gain some sensitivity to delta from the shape of the PID distributions.
No external (eg reactor) constraints or reversed-horn mode was included.
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[pdf]
[png]
50_mdc_slice_jmid_chunkmdc1
jmId slice - 3yrs.
Chi-squared difference between each value of theta13 and the best fit, with delta=0 and all other parameters also held fixed.
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[pdf]
[png]
51_mdc_slice_jmid_hadd
jmId slice - high stats.
Chi-squared difference between each value of theta13 and the best fit, with delta=0 and all other parameters also held fixed.
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[pdf]
[png]
60_mdc_slice_lem_chunkmdc1
LEM slice - 3 yrs
Chi-squared difference between each value of theta13 and the best fit, with delta=0 and all other parameters also held fixed.
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[pdf]
[png]
61_mdc_slice_lem_hadd
LEM slice - high stats
Chi-squared difference between each value of theta13 and the best fit, with delta=0 and all other parameters also held fixed.
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[pdf]
[png]
70_mdc_zeroexclusion
Significance to exclude no oscillaions
The fraction of mock data experiments for which the chi-squared difference between the best oscillation fit and the prediction at theta13=0 exceeds the stated level.
For example, we exceed 3sigma significance (Delta chi^2=9) in approximately 40% of mock 1.2e20 POT exposure experiments, and 5sigma in around 5% of cases.
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[pdf]
[png]
[eps]
010-minos-spectra
The neutrino spectra (flux times total cross-section) produced at the MINOS far detector site for the different NuMI tunes.
Contact: Mark Messier
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[pdf]
[png]
[eps]
020-flux
The total neutrino flux at a given angle as a function of parent pion energy. The NOvA site is at 14 mrad.
Contact: Mark Messier
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[pdf]
[png]
[eps]
030-epi2enu
The energy of neutrinos produced at various angles as a function of parent pion energy. At 14 mrad essentially all pion decays yield neutrinos in the 1-2 GeV energy range of interest for oscillations, compensating for the decrease in flux.
Contact: Mark Messier
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[pdf]
[png]
[eps]
040-le-spectra
The neutrino spectra (flux time cross-section) for various angles for NuMI in the LE tune. The NOvA detectors will be at 14 mrad, although we prefer the ME tune (next plot).
Contact: Mark Messier
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[pdf]
[png]
[eps]
050-me-spectra
The neutrino spectra (flux times cross-section) for various angles in the ME NuMI tune. The 14 mrad ME tune shown in red is optimal for NOvA physics.
Contact: Mark Messier
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[pdf]
[png]
[eps]
060-sig-and-bg-rates
Raw signal and background rates for the NOvA site (L=810 km, theta=14 mrad). The muon neutrino rates are shown with (green dotted) and without (green solid) oscillations applied. The NC rates are shown as a function of the visible energy (=neutrino energy * y) and hence pile up at low energies. The blue curve shows the intrinsic beam nue component. The red bump is a signal at the CHOOZ limit. A detector placed in this beam must be able to reject the numuCC, and NC events at a level to make the red signal bump detectable. Energy resolution helps to reduce the beam nue backgrounds.
Contact: Mark Messier
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[pdf]
[png]
[eps]
070-ipnd-numu
The charged-current muon neutrino spectrum in the MINOS surface
building for the LE NuMI beam tune. At this location the IPND is
expected to collect 2840 numu-CC events in the region between 1.6 and
2.4 GeV in one year of NuMI operation. Likewise, the IPND should see
roughly 1100 NC events in the 1.6-2.5 GeV region. Contact: Mark
Messier
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[pdf]
[png]
[eps]
080-ipnd-nue
The charged-current electron neutrino spectrum in the MINOS surface
building for the LE NuMI beam tune. At this location the IPND is
expected to collect 170 nue-CC events in the region between 1.6 and
2.4 GeV in one year of NuMI operation. Contact: Mark Messier
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[pdf]
[png]
090-numi-tunes
The locations of the target and second horn in the low (LE), medium (ME), and high (HE) energy NuMI tunes. MINOS currently runs in the LE configuration. The optimal NOvA configuration is to place the target at z=-1.4 meters and the second horn at z=19 meters which is close to the MINOS ME configuration shown above.Part of the NuMI upgrades for NOvA is to move the second horn downstream.
Contact: Mark Messier
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[pdf]
[png]
[eps]
010-thetalPP
2-sigma sensitivity of the NOvA experiment to see muon to electron
neutrino oscillations. The blue curves assume normal mass hierarchy
while the red curves show the inverted hierarchy case. The sensitivity
is calculated assuming a 15 kT detector, 10% systematic error on the
backgrounds, and 6 years of running split evenly between neutrino and
anti-neutrino horn polarities. In addition to the baseline 700 kW beam
power ("ANU"), the possibilities using 1.2 MW ("SNuMI") and 2.3 MW
("Project X") are also shown.
Contact: Gary Feldman
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[pdf]
[png]
[eps]
020-thetalpp90
Same as previous plot, but shows the 90% C.L. sensitivity as this is
more commonly shown by other collaborations.
Contact: Gary Feldman
|
[pdf]
[png]
[eps]
030-f810_24_02
This plot demonstrates the principle by which NOvA determines the mass
hierarchy and measures the CP phase. NOvA essentially measures two
oscillation probabilities, one in neutrino mode and one in
anti-neutrino mode. For this plot it is assumed that the measurement
in neutrino mode has yielded a numu-nue oscillation probability of
0.02. The two ellipses show all the possibilities of theta_13 values,
delta_cp values, and choice of hierarchy that could yield this
measurement. The blue curve is for the normal hierarchy case and the
red curve is for the inverted hierarchy case. On each ellipse, the
choice of the CP phase delta varies as one moves around the ellipse as
indicated by the symbols. One can imagine that NOvA makes a
measurement of oscillation probability in anti-neutrino mode and
locate that point on the x-axis. Scanning vertically upward from that
point until one hits the curves will indicate which choice of
parameters are consistent with the two measurements. If the scan hits
only a red or blue curve, the mass hierarchy is resolved. If one hits
both red and blue curves the ambiguity of the choice of hierarchy and
CP phase remains unresolved.
Contact: Gary Feldman
|
[pdf]
[png]
[eps]
040-massnlPP
For oscillation parameters to right of these curves, NOvA resolves the neutrino mass hierarchy with better then 95% C.L. The curves are calculated for a 15 kT detector, 6 years of running split evenly between neutrino and anti-neutrino horn polarities. Intensities of the baseline 700 kW and possible further upgrades to 1.2 MW and 2.3 MW are also shown. The plot assumes nature has a normal mass hierarchy.
Contact: Gary Feldman
|
[pdf]
[png]
[eps]
050-massilPP
Same as previous plot, but calculated assuming nature has an inverted hierarchy.
Contact: Gary Feldman
|
[pdf]
[png]
[eps]
060-massnlPPT2K
For parameters to the right of the curves, the combination of NOvA and T2K resolves the neutrino mass hierarchy at 95% C.L or better. The calculation assumes nature has a normal hierarchy. In the region delta_CP > pi, NOvA resolves the hierarchy on its own through a comparison of its measurements using neutrino and anti-neutrinos. For the region where delta_CP < pi, the comparison of T2K's measurement using neutrinos at the first oscillation maximum which is little affected by matter effects and NOvA's measurement at the first oscillation maximum using neutrinos which is strongly affected by matter effects helps break the ambiguity in the comparison of NOvA's neutrino measurement to its anti-neutrino measurement. |
[pdf]
[png]
[eps]
070-massilPPT2K
Same as previous plot but for the case of the inverted hierarchy.
Contact: Gary Feldman
|
[pdf]
[png]
[eps]
080-contourNOvA15
The 1- and 2-sigma measurement contours for NOvA assuming oscillations with parameters chosen at the starred point. The hierarchy is resolved (the small red contour is the "ghost" solution assuming the inverted hierarchy) and the CP phase is constrained to the upper half plane.
Contact: Gary Feldman
|
[pdf]
[png]
[eps]
090-contourNOvA3
The 1- and 2-sigma measurement contours for NOvA assuming oscillations with parameters chosen at the starred point. The CP phase is constrained to the upper half plane. The hierarchy is nor determined as the ghost solution (shown in red) for the inverted hierarchy appears at 1-sigma.
Contact: Gary Feldman
|
[pdf]
[png]
[eps]
100-contourNOvA
The 1- and 2-sigma measurement contours for NOvA assuming oscillations with parameters chosen at the starred point. In this case, the hierarchy is not resolved as the ghost solutions for the inverted hierarchy (red) appear at 1-sigma. The ambiguity in the hierarchy choice means that the CP phase is left unconstrained.
Contact: Gary Feldman
|
[pdf]
[png]
[eps]
110-contourT2K
An estimate of the results from T2K for the starred point. No information on the CP phase or the hierarchy is obtained. However, one can compare to the NOvA case in the previous plot. The contours overlap in the region near the correct solution but miss in the upper half plane. So one expects the combination of NOvA and T2K to be useful in this part of the parameter space.
Contact: Gary Feldman
|
[pdf]
[png]
[eps]
120-contourNOvAT2K
The 1- and 2-sigma measurement contours combining NOvA and T2K. As one can see by comparison to the previous two plots the combination of NOvA and T2K has considerably more power in this part of the parameter space than either one does alone.
Contact: Gary Feldman
|
[pdf]
[png]
[eps]
130-contourNOvAt2K3
The 1- and 2-sigma contours for the combination of T2K and NOvA for the starred point. In this case, upgrades to both the T2K and NOvA intensities have been assumed. The hierarchy is resolved and the CP phase is constrained to the lower half plane.
Contact: Gary Feldman
|
[pdf]
[png]
[eps]
evt-numucc-dtm-xzyx-proj-0063
Simulated charged current \nu_\mu interaction in NDOS. The coloured lines represent reconstructed tracks, and the red cross the estimated vertex position.
|
[pdf]
[png]
[eps]
evt_numucc_dtm_xzyx-proj_0121
Simulated charged current \nu_\mu interaction in NDOS. The coloured lines represent reconstructed tracks, and the red cross the estimated vertex position.
|
[pdf]
[png]
[eps]
evt_numucc_dtm_xzyx-proj_0497
Simulated charged current \nu_\mu interaction in NDOS. The coloured lines represent reconstructed tracks, and the red cross the estimated vertex position.
|
[pdf]
[png]
[eps]
evt_numucc_dtm_xzyx-proj_0599
Simulated charged current \nu_\mu interaction in NDOS. The coloured lines represent reconstructed tracks, and the red cross the estimated vertex position.
|
[pdf]
[png]
[eps]
evt_numucc_dtm_xzyx-proj_0670
Simulated charged current \nu_\mu interaction in NDOS. The coloured lines represent reconstructed tracks, and the red cross the estimated vertex position.
|
[pdf]
[png]
[eps]
evt_numucc_dtm_xzyx-proj_0676
Simulated charged current \nu_\mu interaction in NDOS. The coloured lines represent reconstructed tracks, and the red cross the estimated vertex position.
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[pdf]
[png]
[eps]
evt_numucc_dtm_xzyx-proj_0697
Simulated charged current \nu_\mu interaction in NDOS. The coloured lines represent reconstructed tracks, and the red cross the estimated vertex position.
|
[pdf]
[png]
[eps]
evt_numucc_dtm_xzyx-proj_0751
Simulated charged current \nu_\mu interaction in NDOS. The coloured lines represent reconstructed tracks, and the red cross the estimated vertex position.
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[pdf]
[png]
[eps]
evt_numucc_dtm_xzyx-proj_0900
Simulated charged current \nu_\mu interaction in NDOS. The coloured lines represent reconstructed tracks, and the red cross the estimated vertex position.
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[pdf]
[png]
[eps]
evt_numucc_dtm_xzyx-proj_1118
Simulated charged current \nu_\mu interaction in NDOS. The coloured lines represent reconstructed tracks, and the red cross the estimated vertex position.
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[pdf]
[png]
[eps]
evt_numucc_dtm_xzyx-proj_1122
Simulated charged current \nu_\mu interaction in NDOS. The coloured lines represent reconstructed tracks, and the red cross the estimated vertex position.
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[pdf]
[png]
[eps]
evt_numucc_dtm_xzyx-proj_1490
Simulated charged current \nu_\mu interaction in NDOS. The coloured lines represent reconstructed tracks, and the red cross the estimated vertex position.
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[pdf]
[png]
[eps]
evt_numucc_dtm_xzyx-proj_1601
Simulated charged current \nu_\mu interaction in NDOS. The coloured lines represent reconstructed tracks, and the red cross the estimated vertex position.
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[pdf]
[png]
[eps]
evt_numucc_dtm_xzyx-proj_1632
Simulated charged current \nu_\mu interaction in NDOS. The coloured lines represent reconstructed tracks, and the red cross the estimated vertex position.
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[pdf]
[png]
[eps]
evt_numucc_dtm_xzyx-proj_1658
Simulated charged current \nu_\mu interaction in NDOS. The coloured lines represent reconstructed tracks, and the red cross the estimated vertex position.
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[pdf]
[png]
[eps]
evt_numucc_dtm_xzyx-proj_1698
Simulated charged current \nu_\mu interaction in NDOS. The coloured lines represent reconstructed tracks, and the red cross the estimated vertex position.
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[pdf]
[png]
[eps]
evt_numucc_dtm_xzyx-proj_1908
Simulated charged current \nu_\mu interaction in NDOS. The coloured lines represent reconstructed tracks, and the red cross the estimated vertex position.
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![[jpg]](1000_Detector_Overview/006-nova-soilderfield.jpg){kind=link}
![[jpg]](1000_Detector_Overview/007-brightstar.jpg){kind=link}
![[jpg]](1000_Detector_Overview/008-nova-site.jpg){kind=link}
![[gif]](1800_NDOS_Event_Displays/event_13068_s03_183770.gif){kind=link}