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Cross-Section Measurements

4.1 Why Cross Sections Are Important

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Neutrino oscillation experiments measure the charged-current and neutral-current event

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rates in their detectors, which can generically be expressed as

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R(�x) =

process

i

target

j

Φ(Eν)×σi(Eν,�x)×�(�x)×Tj×P(νA→νB) (4.1)

where R(�x) is the total event rate for all processes as a function of the reconstructed

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kinematic variables�x,Φν(Eν) is the neutrinoflux as a function of the neutrino energy

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Eνiis the neutrino cross section for a particular interaction process,�is the detection

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efficiency and Tj is the number of target nuclei in the detector fiducial volume for

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target type j. It is obvious from this equation that in order to measure the neutrino

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oscillation probability P(νA → νB), the unoscillated flux must be well measured, the

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neutrino cross section must be known, and the detector efficiency must be understood.

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Any assumptions in the neutrino oscillation model must also be well tested. If any

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of these components is not well modelled, the final oscillation measurement may be

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biased. Large uncertainties on any of these components will limit the sensitivity of an

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experiment.

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In reality, not all interaction processes are signal for each experiment, the other

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cesses become backgrounds, which must be taken into account if they can mimic the

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signal in the detector. For T2K, the dominant interaction process is Charged-Current

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Quasi-Elastic scattering (CCQE), as shown in Fig. 4.1. Although this implies that

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CCQE is the most important process for the T2K oscillation analysis, there are

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icant contributions from resonant pion production (RES) and deep inelastic scattering

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(DIS), which have to be well modelled as these will produce significant contributions.

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Note that Fig. 4.1 shows the cross sections divided by the neutrino energy, so the cross

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section for the tail of the T2K flux is significantly larger than at the peak.

(GeV)

CCQE-like CC RES CC INC CCQE CC DIS T2K flux

(a) νµ12C (/Eν)

4 CCQE-likeCCQE CC RESCC DIS CC INCT2K flux

(b) ν¯µ12C (/Eν)

Figure 4.1: NEUT v5.3.3 νµ and νµ cross-section predictions after NIWG 2014 tuning (Section 6.4.1), divided by neutrino energy for both neutrino mode and anti-neutrino mode running.

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4.1.1 What Can Be Measured

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In Eq. (4.1), σi(Eν,�x) is the contribution from the ith interaction process. Examples

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of interaction processes on nucleons are:

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• Charged-Current Quasi-Elastic (CCQE):

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(ν–)

l +n(p)→l(+)+p(n) (4.2)

• Neutral-Current Singleπ0 (NC1π0):

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(ν–)

l +n, p→(ν–)

l +n, p+π0 (4.3)

Unfortunately, we do not observe interaction processes on nucleons. Instead, we can

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only see final state topologies on nuclear targets. After a neutrino interacts inside

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a nucleus, the particles produced at the vertex have to propagate through the dense

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nuclear medium, where many (if not the majority) outgoing hadrons will re-interact

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(“final state interactions” or “FSI”). So instead of CCQE events, all we can observe

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are events with a topology of a single charged lepton, and no pions and any number

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of nucleons (CC0π). However, in the case of a charged-current inclusive analysis, i.e.

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considering all the charged-current interaction processes rather than an exclusive one,

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detecting the presence of a muon is an unquestionable signature (production of

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pairs in thefinal state is very unlikely at the T2K flux).

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The cross-section terms which enter into Eq. (4.1), σi(Eν,�x), for oscillation

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periments are a function of true kinematic variables, and the neutrino energy.

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fortunately, we cannot reconstruct the neutrino energy or other quantities like four

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momentum transfer,Q2, on an event by event basis. The available observables are only

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thefinal state particle kinematics, smeared by the detector resolution; the relationship

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to true quantities is an assumption of our underlying simulation.

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So we cannot measure the cross section, σi(Eν,�x), for the ith interaction process

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as is required for oscillation analyses. Instead, we measure some topology-based cross

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section�σk, which is integrated over the T2Kflux, as a function of some outgoing particle

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whereσi is the contribution of true interaction processi to thefinal state topologyk.

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Theorists and other users of the data (for example the T2K’s Neutrino Interactions

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Working Group [143]) want to compare and constrain their σi(Eν,�x) with data from

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σk(�x). Because of the complexity of that comparison, they need a lot of data, ideally

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from multiple experiments. What the cross-section community most desperately lacks

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at the moment is high quality data free of model-dependence. Without new data, it

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will not be possible to develop new interaction models (σi(Eν,�x)) or parametrise

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section uncertainties well enough to make high precision measurements of oscillation

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parameters (Eq. (4.1)).

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4.1.2 Reconstructed Energy from Lepton Kinematics

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In Section 4.1.1 we stated that the true neutrino energy cannot be reconstructed on

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a event by event basis. In general, the energy can be reconstructed in two ways:

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calorimetrically or kinematically. For a calorimetric reconstruction, all the involved

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particles should be fully contained in the detector, which is not the case for ND280.

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For a kinematic reconstruction, angles and momenta of all the particles produced in the

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neutrino-nucleon interaction should be known, but even in a 100 % efficient detector,

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we can only measure those observables after they get possibly modified by the final

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state interactions, as explained in Section 4.1.1.

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Nevertheless, in the case of a CCQE process (Eq. (4.2)), the only outgoing particle

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is a lepton, which being a minimum ionising particle, it is assumed not to interact

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before exiting the nucleus, i.e. it is unaffected by FSI. Therefore, for a CCQE process

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from aνµ, the true neutrino energy can be easily found knowing the muon momentum

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pµ and the angle θµ between the directions of the incoming neutrino and the outgoing

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the neutron, the proton and the muon respectively;V is the binding energy (in MeV);

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Eµ is the energy of the muon, i.e. �

p2µ+m2µ.

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However, we can only select a sample of CC0π events rather than of CCQE events,

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again because of the final state interactions, as explained in Section 4.1.1. Since the

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CCQE processes are dominant in a CC0πselection, and even in a CC-inclusive selection

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below 1 GeV (Fig. 4.1), in these cases the distribution of a quantity defined in the

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Even if EQE(pµ, cosθµ) does not correspond to the true neutrino energy (except

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for CCQE processes), it can always be interpreted simply as a function of the muon

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kinematics, thus model-independent, also on a event-by-event basis. With respect to

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pµ, EQE(pµ, cosθµ) is more sensitive to the detector smearing, thus also to model

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crepancies, as a reconstruction shift is more likely to be washed out in pµ than in

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EQE(pµ, cosθµ). IndeedEQE(pµ, cosθµ) is related to theflux shape, which is very

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sitive to the beam geometry. Furthermore,EQE(pµ, cosθµ) has the advantage of having

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less migrations among bins in the smearing matrix, which helps the unfolding to resolve

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the detector smearing (Section 7.1). Given its excellent resolution, EQE(pµ, cosθµ) is

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the quantity more sensitive to any shifts in the Monte Carlo simulation. Eventually,

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the T2K oscillation analyses at the far detector Super-Kamiokandeare performed as a

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function of this same quantityEQE.

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For these reasons, the cross-section results presented in this thesis are performed as

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a function ofEQE(pµ, cosθµ).

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