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Cross-Section Measurements

5.2 ν µ Charged-Current Inclusive Selection in FGDs

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The selection used in this analysis is identical to theνµCC inclusive selection developed

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for the oscillation analyses ([142, 150]), except for a small change in thefiducial volume

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of the FGDs. The goal of the selection criteria is to identify a sample of neutrino

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interactions which originate in the FGD1 or FGD2 detector and contain a reconstructed

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muon track of negative charge crossing the following TPC.

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Thefiducial volume used in References [142, 150] is slightly different between FGD1

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and FGD2. However, for this analysis the same fiducial volume has been applied for

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both FGDs, in order to ensure the same acceptance for the two selections. In the

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coordinates orthogonal to the beam direction (x and y) the fiducial volume begins

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72.17 mm inward from the edges of the FGDs. In the coordinate parallel to the beam

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direction (z) thefiducial volume begins 10.125 mm inward from the edges of the FGDs,

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which corresponds in discarding thefirst and the last scintillator layers.

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FGD1 TPC2 FGD2 TPC3

Size in X [mm] 1864.34 2300 1864.34 2300 Size in Y [mm] 1864.34 2400 1864.34 2400 Size in Z [mm] 331.75 974 333.75 974

Table 5.2: FGDs and TPCs positions in the ND280 coordinate system. Very small asymmetries: FGD2 is 2 mm larger than FGD1 in Z; the FGD2-TPC3 gap is 1 mm smaller than the FGD1-TPC2 gap (25.625 mm and 26.625 mm respectively); in X the FGDs are exactly centred with respect to the TPCs, but in Y they are 25 mm off.

As described in Section 2.1, the T2K beam spill is constituted of eight bunches,

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separated by 0.6 µs. The selection is performed over the tracks grouped together in

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bunches according to their timing, i.e. occurring within the time windows of the beam

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bunches. The selection criteria allow to select only one event per bunch, either in FGD1

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or in FGD2. The probability of having more than one event per bunch is very low,

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anyhow a pile-up systematic uncertainties is evaluated to account for it (Section 6.2.4.3).

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The νµ CC-inclusive selection criteria are as follows.

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Figure 5.1: FGDs and TPCs relative positions in the yz plane (drawing to scale). The centres of the FGDs and of the TPCs are almost aligned (only 25 mm off); in thexz plane instead they are exactly aligned. The dashed line shows thefiducial volume.

1. Data qualityflag. The full spill must have a good global ND280 data qualityflag.

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2. Muon candidate identification. The muon candidate is chosen as the highest

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momentum track (if any) among those satisfying the following criteria:

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(a) start position inside the FGDfiducial volume (FV);

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(b) negatively charged (according to its curvature in the magneticfield);

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(c) have more than 18 clusters in the TPC (“TPC track quality” requirement

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to reject short tracks for which the reconstruction is less reliable).

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3. External veto. Some reconstruction failures can lead to a muon candidate track

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starting in the FGDfiducial volume even if the real muon started far upstream.

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For example a muon originating in the PØD and undergoing a large scatter in

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FGD1 may be reconstructed as two tracks (one PØD-TPC1-FGD1, and the other

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FGD1-TPC2). In order to exclude such events, if there is a TPC track with higher

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momentum than the muon candidate and starting more than 150 mm upstream

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(outside the FV) the event is rejected. Additionally, for FGD2 selection, the event

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is vetoed if there is a potential muon candidate in FGD1fiducial volume.

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4. Broken track veto. A TPC-FGD track isfirst reconstructed in the TPC and then

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projected to the FGD to match its hits incrementally. Matching failures are more

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likely to happen in the first matched hits, resulting in a broken track starting

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at the end of the FGD and crossing the TPC, which might be taken as muon

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candidate even though the other part of the broken track was starting outside

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thefiducial volume. To avoid this, the broken track veto rejects events with the

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muon candidate starting in the last XY module of the FGD and with another

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FGD track starting outside thefiducial volume (and not reaching the TPC).

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5. Muon PID cut. The particle identification procedure (PID) is applied to the

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muon candidate based on the dE/dx distribution measured in the TPC. The

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energy deposit in the TPC is compared with the energy deposit expected under

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the assumption of four particle hypothesis: muon, pion, electron and proton.

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Based on that, a discrimination function is applied.

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The dE/dx is estimated as a truncated mean of the energy released in the

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TPC.Pulls are calculated as:

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Pulli= (dE/dxmeasured−dE/dxexpected,i)

σ(dE/dxmeasured−dE/dxexpected,i) (5.1) wheredE/dxexpected,iis the value of the truncated mean for the particle hypothesis

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Electrons, which are not minimum ionising particles (MIP), are rejected by

applied only for tracks withp <500 MeV/c. A further cut removes protons and

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Number of MC events

0

Number of MC events

0

18000 Integral 9.134e+04

mu-

Figure 5.2: Distributions ofLMIP (Eq. (5.3)) andLµ(Eq. (5.2)). The red lines show the cut value decided to enhance the muon candidate purity of the sample.

Fig. 5.2 shows the distributions ofLMIPandLµ. The red lines show the cut value

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decided to enhance the muon candidate purity of the sample.

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Events passing these criteria define theνµCC-inclusive selection either in FGD1 or

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in FGD2.

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5.2.1 Data-MC Comparison

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Fig. 5.3 shows the data-MC comparison for the νµ CC inclusive selections in FGD1

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and in FGD2, as a function of the reconstructed energy evaluated with the

kine-1779

matic formula of Eq. (4.6): for both selections the MC simulation well agrees with

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the data; the mean reconstructed energy is well reproduced by the MC at the level of

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1.5±3.1/650 MeV. The momentum is measured in the TPC and extrapolated at the

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beginning of the track, correcting for the energy lost in the FGD. For a muon

origi-1783

nated in the water of FGD2 the track length between the vertex and the first hit in

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the nearest scintillating bar, is not taken into account. This might be the reason, or at

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least part of it, why the average reconstructed energy for the FGD2 selection is slightly

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lower than the FGD1 selection, as can be seen in Fig. 5.3. Anyway, considering that

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the energy loss for a minimum ionising particle in water is about 2 MeV per cm, and

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that the water modules have a width of only 2.5 cm, the correction would be very small.

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1200 FGD1 DATA

CC

Figure 5.3: Data-Monte Carlo comparison of the reconstructed energy distribution for both the FGD1 and the FGD2 selections. Red and blue circles (with statistical error bars) are the data points for FGD1 and FGD2 respectively. The coloured area is the MC distribution for FGD1, broken down by the predicted NEUT reactions, whilst the blue line is the FGD2 MC.

5.2.2 Efficiency, Purity and Background

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The efficiency is defined as:

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�= Nselected|generated

Ngenerated (5.5)

whereNgeneratedis the number of interactions generated by the MC andNselected — generated

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represents how many of them were reconstructed and selected.

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Note that with this definition, the efficiency includes also the selection acceptance.

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Fig. 5.4 shows the efficiency evaluated at each step of the selection described in

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Section 5.2, for both selections, in FGD1 (red) and in FGD2 (blue). For the number

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of generated interactions, all theνµCC interactions predicted by NEUT in thefiducial

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volume are considered (cf. Section 7.3). Thefinal efficiency predicted by NEUT, after

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the last cut, is 53.66 % for the selection in FGD1 and 53.85 % for the selection in FGD2.

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quality+fiducial veto External FGD1 muon PID

0.35 0.4 0.45 0.5 0.55 0.6 0.65 0.7 0.75 0.8 0.85

muon candidate External veto Broken track veto muon PID

FGD1 FGD2

Figure 5.4: Efficiency evaluated at each step of the selection described in Section 5.2 for both selections, in FGD1 (red) and in FGD2 (blue).

Fig. 5.5 shows the efficiency as a function of the true muon direction, in terms

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of the θ angle respect to the neutrino direction (the lepton produced by the neutrino

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interaction associated to the selected muon candidate). The requirement of crossing

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a TPC (cf. Section 5.2) significantly limits the efficiency at high angles. Timing

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information of tracks crossing both FGDs can tell whether the particle is going from

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FGD1 towards FGD2 or vice versa. This helps the reconstruction of backward-going

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tracks originating in FGD2, and explains the better efficiency of the selection in FGD2

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for negativecosθ. Nevertheless the fraction of reconstructed events with a

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going muon, shown as well in Fig. 5.5, is quite negligible.

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