Measurement of the Spectral Function of \mathbf{{}^{40}}Ar through the \mathbf{(e,e^{\prime}p)} reaction Proposal (PR12-14-012) submitted to the Jefferson Lab Program Advisory Committee PAC 42 July 2014

Measurement of the Spectral Function of Ar through
the reaction
Proposal (PR12-14-012) submitted to the
Jefferson Lab Program Advisory Committee PAC 42
July 2014

O. Benhar111Spokesperson, F. Garibaldi and G. M. Urciuoli INFN and Department of Physics, “Sapienza” Università di Roma, I-00185 Roma, Italy    C. Mariani11footnotemark: 1222Contact Person, email: mariani@vt.edu, C.-M. Jen11footnotemark: 1, J. M. Link, and M. L. Pitt Center for Neutrino Physics, Virginia Tech, Blacksburg, VA, 24061, USA    D. B. Day11footnotemark: 1, D. G. Crabb, D. Keller, R. Lindgren, N. Liyanage, O. A. Rondon, and J. Zhang Department of Physics, University of Virginia, Charlottesville, VA, 22904, USA    D. W. Higinbotham11footnotemark: 1, D. Gaskell, O. Hansen, C. E. Keppel, L. Myers, B. Sawatzky, and S. Wood Thomas Jefferson National Accelerator Facility, Newport News, VA, 23606, USA    A. Ankowski and M. Sakuda Department of Physics, Okayama University, Okayama 700-8530, Japan    C. Giusti and A. Meucci Department of Physics and INFN, University of Pavia, I-27100 Pavia, Italy    G. Garvey, X. Jiang, and G. B. Mills Los Alamos National Laboratory, Los Alamos, NM, 87545, USA    P. A. Souder, R. Holmes, and R. Beminiwattha Department of Physics, Syracuse University, Syracuse, NY, 13210, USA
July 14, 2019
Abstract

The interpretation of the signals detected by high precision experiments aimed at measuring neutrino oscillations requires an accurate description of the neutrino-nucleus cross sections. One of the key element of the analysis is the treatment of nuclear effects, which is one of the main sources of systematics for accelerator based experiments such as the Long Baseline Neutrino Experiment (LBNE). A considerable effort is currently being made to develop theoretical models capable of providing a fully quantitative description of the neutrino-nucleus cross sections in the kinematical regime relevant to LBNE. The approach based on nuclear many-body theory and the spectral function formalism has proved very successful in explaining the available electron scattering data in a variety of kinematical conditions. The first step towards its application to the analysis of neutrino data is the derivation of the spectral functions of nuclei employed in neutrino detectors, in particular argon. We propose a measurement of the coincidence cross section on argon. This data will provide the experimental input indispensable to construct the argon spectral function, thus paving the way for a reliable estimate of the neutrino cross sections. In addition, the analysis of the data will help a number of theoretical developments, like the description of final-state interactions needed to isolate the initial-state contributions to the observed single-particle peaks, that is also needed for the interpretation of the signal detected in neutrino experiments.

We request 9 days of beam time at 2.2 GeV, 1 day for calibration and 8 days for the measurement of parallel and anti-parallel kinematics of on an argon target. The beam time request accounts for radiative losses and includes several hours of data taking dedicated to measure possible backgrounds. This measurement will provide the only available high statistics sample of electron scattering data on argon in reduced-FSI kinematics.

1 Motivation

Neutrino physics is entering the age of precision measurements. Several experiments have detected neutrino oscillations, thus providing unambiguous evidence that neutrinos—assumed to be massless in the Standard Model of particle physics—have in fact non-vanishing masses. Reactor neutrino experiments carried out in the last five years (Double Chooz DC (), Daya Bay DB () and RENO RENO ()) recently reported high quality measurements of the mixing angle, the value of which turned out to be 10 deg. The large mixing angle will enable future experiments – such as the Long-Baseline Neutrino Experiment (LBNE) in the United States LBNE ()—to search for leptonic CP violation in appearance mode, thus addressing one of the outstanding problems in particle physics. However, these searches will involve high precision determinations of the oscillation parameters, which in turn require a deep understanding of neutrino interactions with matter. In view of the achieved and expected experimental accuracies, the treatment of nuclear effects is indeed regarded as one of the main sources of systematic uncertainty.

Over the past decade, it has become more and more evident that the independent particle model of nuclei—the ultimate implementation of which is the relativistic Fermi gas model (RFGM) routinely employed in simulation codes—is not adequate to account for the complexity of nuclear dynamics and the variety of reaction mechanisms contributing to the detected signals.

The large discrepancy between the results of Monte Carlo simulations and the double differential cross section of charged current (CC) quasielastic (QE) interactions in carbon, recently measured by the MiniBooNE Collaboration using a beam of average energy 0.8 (0.7) GeV in the neutrino (antineutrino) mode, is a striking manifestation of the above problem MBCCQE (); MBNC (); ref:MB_anu (). More recently, the analysis of the inclusive -nucleus cross sections at beam energy in the range GeV, measured by the MINERA Collaboration using a variety of targets, led to the conclusion that none of nuclear models implemented in Monte Carlo simulations is capable of reproducing the data  ref:MINERvA_ratios ().

A considerable effort is currently being made to develop theoretical models capable of providing a fully quantitative description of the neutrino-nucleus cross section in the kinematical regime relevant to LBNE, corresponding to beam energies ranging from a few hundred MeV to a few GeV. In this context, a key element is the information provided by the large body of theoretical and experimental studies of electron-nucleus scattering.

The approach based on nuclear many-body theory and the spectral function formalism has proved very successful in explaining the available electron scattering data in a variety of kinematical conditions (for a recent review on the quasielastic sector, see Ref. RMP ()). The first step in its application to the analysis of neutrino data is the derivation of the spectral functions of nuclei employed in neutrino detectors.

The spectral function, , yields the probability of removing a nucleon of momentum  from the nuclear ground state leaving the residual system with excitation energy . Accurate theoretical calculations of , based on nuclear many-body theory, have been carried out for the three-nucleon system ingo (); sauer () and uniform, isospin-symmetric, nuclear matter pke_nm (). For the isospin symmetric -shell nuclei O and C, relevant to water Cherenkov detectors (e.g. Super-K) and mineral-oil detectors (e.g. MiniBooNE), respectively, the spectral functions have been obtained in Refs. LDA (); PRD (), combining theoretical calculations and the information provided by coincidence experiments. Within this scheme, the availability of the data is essential to accurately describe binding energies, spectroscopic factors, and widths of the shell model states.

As future neutrino experiments—most notably LBNE—will use large liquid argon detectors to perform a precision measurement of the CP violating phase, understanding the response of argon to neutrino and antineutrino interactions is of paramount importance. To obtain the spectral functions of calcium Ca and argon Ar, the authors of Ref. ANK () have proposed a model, inspired by the one developed in Refs. LDA (); PRD () but involving additional and rather crude approximations.

The electron scattering data for calcium is scarce. A experiment with low missing energy resolution has been carried out at Saclay in the 1970s 40CaSaclay (), while the more recent, high resolution, measurements performed at NIKHEF-K 40CaNIKHEF () cover a limited energy range. The calcium spectral function of Ref. ANK () has been derived using the results of theoretical calculations of the momentum distribution bisconti () and the empirical energy spectrum predicted by the dispersive optical-model analysis of Ref. mahaux ().

As far as argon is concerned, the current state of affairs looks even more problematic, the only available electron scattering data being the inclusive cross sections measured at Frascati in the 1990s LNF2 (). The empirical information on the energy levels is limited to a few neutron states in the vicinity of the Fermi surface, obtained in Ref. Arspec (), and no theoretical calculations of the momentum distribution are available. Owing to the lack of the needed input information the derivation of a model spectral function, even within the oversimplified scheme proposed in Ref. ANK (), involves very large uncertainties.

The inclusive electron-argon cross section obtained using the spectral function of Ref. ANK () turns out to be in fairly good agreement with the Frascati data. The same spectral function has been also used to obtain and CC cross sections consistent with the measurements recently reported by the ArgoNeuT Collaboration, obtained at mean neutrino (antineutrino) energy of 9.6 (3.6) GeV ref:ArgoNeuT ().

However, a more realistic model—including a more accurately determined spectrum and measured spectroscopic factors and momentum distributions of the shell model states—will be needed to reach an accuracy comparable to that required for precise neutrino experiments, as well as to describe more exclusive processes.

Owing to the strong isospin dependence of nuclear forces, nucleon-nucleon interactions in the proton-neutron sector are very different from those taking place in the proton-proton and neutron-neutron channels. As a consequence, in the absence of both experimental information on argon spectroscopic factors and theoretical input on the correlation contribution to the spectral function of isospin-asymmetric nuclear matter, cannot be accurately determined within the scheme of Refs. LDA (); PRD ().

A direct measurement of the coincidence cross section on argon would provide the experimental input indispensable to constrain the generalization of the theoretical model presented in Ref. LDA (); PRD () to argon, thus paving the way for a reliable estimate of the neutrino cross sections. In addition, the analysis of the data will require a number of theoretical developments—e.g. the description of final-state interactions needed to isolate the initial-state contributions to the observed single-particle peaks FSI ()—that will also be needed for the interpretation of the signal detected in neutrino experiments.

To see how the description of nuclear dynamics affects the measurement of neutrino oscillations, consider the simplest case of two neutrino flavors, and . The oscillation probability

(1)

driven by a single mixing angle and the squared-mass difference , is a function of the neutrino energy . Accelerator experiments obtain neutrino beams as decay products mainly of pions, which are in turn produced by interactions of the primary proton beam with the target material. As a consequence, the neutrino beam is not monochromatic, and in any interaction events the neutrino energy must be inferred from the measured kinematical variables of the particles involved the process.

In the case of CC QE scattering off a free nucleons at rest, the observed energy and production angle of the outgoing charged lepton provides sufficient information to determine . However, this is no longer the case for CC QE scattering off nuclear targets, the use of which is mandatory to reach acceptable statistics. While typically the neutrino energy is still reconstructed from the measured kinematics of the charged lepton only, the accuracy of this method is limited by the accuracy to which nuclear effects are described by the Monte Carlo simulations employed for data analysis.

The distributions of nucleon’s momentum and energy–described by the nuclear spectral function–smear the reconstructed energy. In addition, the interaction products undergo final state interactions with the surrounding nucleons, which also affects their energy. Finally, in the nuclear medium more complex reaction mechanisms, such as those involving two-body currents, have to be taken into account, as they significantly affect energy reconstruction.

The authors of Ref. ref:Mosel_ERec () have shown that the irreducible background arising from pion production followed by nuclear absorption also plays a critical role, and may lead to underestimating the neutrino energy by as much as 300 MeV. As a consequence, an accurate estimate and subtraction of this background from the CC QE event candidates is called for.

The above issues are all very relevant, as many experiments exploit QE interactions for their neutrino oscillation analysis. The efficiency of identification of QE interactions is usually very high, but there are other neutrino interactions (1 and DIS) occurring at higher neutrino energies, with much lower reconstruction efficiency, due to the high multiplicity of the final state. Most of the current experiments rely on Monte Carlo predictions rather than direct observation to identify and quantify the efficiency and energy reconstruction bias arising from such non-QE events. The bias induced in the reconstructed neutrino energy by non-QE events may in fact be the source of the low energy excess observed by MiniBooNE.

The smearing, or the shift, of the reconstructed energy induced by non-QE interactions has been recently analyzed in Refs. Coloma:2012ji (); Lalakulich:2012hs (); Martini:2012fa (); Coloma:2013rqa (); Coloma:2013tba (). Of particular interest are the studies of Ref. Coloma:2013rqa (); Coloma:2013tba (), in which an ideal neutrino oscillation experiment is simulated using different nuclear models in the event generation and oscillation fit. Based on these analyses, the authors conclude that nuclear models matter at the level of 10–20% for the determination of the oscillation parameters. Of course, it should be considered that all recent neutrino experiments, such as MiniBooNE, MINOS, T2K and NOA, have their systematic uncertainties on neutrino cross sections and nuclear models greatly reduced by a variety of cross-section measurements carried out using carbon and oxygen. However, the situation will be different, and much worse, in the case of LBNE, which will use Argon as the target nucleus.

As a final remark, we note that, in addition to the importance for the neutrino program, the precise determination of the structure of the argon nucleus will be relevant to the LBNE search for nucleon decay leading to a violation of baryon-number conservation. For liquid-argon detectors, the channels of particular interest are the and . For a decaying proton at rest, the produced kaon would be monochromatic. However, the initial distribution of proton’s momentum and energy in the nucleus–dictated by the spectral function–is responsible a non-negligible smearing of the kaon’s momentum ref:Argon_pDecay (); ref:Omar_pDecay (). To achieve an accurate modeling of this nuclear effect, it is essential to obtain the relevant nuclear structure information measuring the cross section off argon.

2 The cross section

We plan to study the process

(2)

in which an electron of initial four-momentum scatters off a nuclear target to a state of four-momentum . The hadronic final state consists of a proton of four momentum and the undetected -nucleon recoiling system.

The differential cross section of process (2) can be written in the from

(3)

where , while and denote the solid angles specifying the directions of the outgoing electron and proton, respectively. In the above equation is the fine structure constant, while the squared four momentum transfer is given by

(4)

with .

The tensor , that can be written, neglecting the electron mass, as

(5)

with , is fully specified by the measured electron kinematical variables. All the information on the internal structure of the target is contained in the response tensor

(6)

the definition of which involves the initial and final nuclear states and , carrying four-momenta and , as well as the nuclear current operator,

(7)

In the above equation, is the current describing the electromagnetic interaction of a single nucleon, while the operator takes into account processes involving two nucleons, such as those associated with meson-exchange currents (MEC) MEC ().

2.1 Plane Wave Impulse Approximation

The Plane Wave Impulse Approximation (PWIA) is based on the assumptions that i) as the space resolution of the electron beam is , at large momentum transfer scattering off a nuclear target reduces to the incoherent sum of elementary scattering processes involving individual bound nucleons (see Fig. 1) and ii) final state interactions between the hadrons produced at the electron-nucleon vertex and the recoiling nucleus are negligibly small.

Figure 1: Schematic representation of the IA regime, in which the nuclear cross section is replaced by the incoherent sum of cross sections describing scattering off individual nucleons, the recoiling -nucleon system acting as a spectator.

The above assumptions are implemented disregarding the contribution of the two-body current in Eq. (7), i.e. setting

(8)

and writing the nuclear final state appearing in Eq. (6) in the factorized form

(9)

where describes the spin of the knocked out nucleon, labeled by the index , while is the wave function associated with the recoiling nucleus.

Within the PWIA scheme, the cross section reduces to the simple form

(10)

with . The missing momentum, , which in the PWIA scheme can be identified with the initial momentum of the struck nucleon, is given by

(11)

whereas the missing energy , yielding its removal energy, is defined through

(12)

and being the proton and target masses, respectively. Note that, in the limit of low missing momentum, , the expression of the missing energy reduces to the simple form

(13)

where is the kinetic energy of the outgoing nucleon.

The probability distribution of finding a nucleon with momentum and removal energy in the target ground state is described by the spectral function, defined as

(14)

where is the target ground state energy and the sum includes all states of the recoiling nucleus, the energy of which is denoted .

The kinematical region corresponding to low missing momentum and energy, where shell model dynamics dominates, has been extensively studied by coincidence experiments (for a review, see, e.g., Ref.book ()). The spectral function extracted from the data is usually written in the form

(15)

where the sum is extended to all occupied states belonging to the Fermi sea. Comparison to Eq. (14) shows that is the Fourier transform of the overlap function

(16)

where denotes the wave function of the -nucleon system with a hole in the state . The spectroscopic factors and the functions , describing the energy width of the state of the outgoing nucleon, account for the effects of residual interactions not included in the mean field picture. In the absence of these interactions, the overlap of Eq. (16) can be identified with the shell model wave function of the state , , while , and .

In addition to the contribution of Eq. (15), corresponding to processes in which the residual nucleus is left in a bound state, the spectral function includes contributions associated with final states in which one, or more, spectator nucleons are excited to the continuum. These contributions, the occurrence of which is a clear manifestation of nucleon-nucleon correlations in the initial state, have been computed for uniform nuclear matter, in a broad range of densities, using Correlated Basis Function (CBF) perturbation theory LDA (). Within the Local Density Approximation (LDA), the nuclear matter results can be used to obtain the correlation contribution to the spectral function of a finite nucleus of mass number from

(17)

where is the nuclear density distribution and is the correlation part of the spectral function of uniform nuclear matter at density .

The full LDA spectral function is given by the sum

(18)

The tenet underlying the LDA approach is that the correlation structure of the nuclear ground state, being mainly driven by short-range dynamics, is largely unaffected by surface and shell effects. This assumption is strongly supported by the predictions of a number of theoretical calculations of the nucleon momentum distribution

(19)

showing that for 4 the quantity becomes nearly independent of at large momentum, typically MeV (see, e.g., Ref. RMP2 ()).

2.2 Final State Interactions

While the PWIA description provides a clear understanding of the mechanism driving the reaction, corrections arising from Final State Interactions (FSI) between the outgoing nucleon and the residual nucleus are known to be in general not negligible, and must be carefully taken into account.

Within the Distorted Wave Impulse Approximation (DWIA), widely and successfully employed to analyze the large data set of cross sections, the plane wave describing the motion of the outgoing nucleon is replaced by a scattering wave function which, in principle, is an eigenfunction of the nonlocal Feshbach hamiltonian  FSI (). In the presence of FSI, the initial momentum of the hit nucleon, , cannot be trivially reconstructed through identification with the measured missing momentum.

The problem of obtaining can be greatly simplified by approximating with a phenomenological optical potential, describing the interactions with the mean field of the residual nucleus. The optical potentials, determined fitting the available proton-nucleus scattering data, typically include complex central and spin-orbit components, as well as a Coulomb term.

Within the DWIA scheme, the nuclear cross section can no longer be written in the simple form of Eq. (10). However, neglecting the effect of the spin-orbit potential, one can still recover a factorized expression in terms of the distorted spectral function [compare to Eq.(15)]

(20)

with

(21)

The accuracy of the factorization scheme, which proves to be most useful for the extraction of the spectral function from the data, can be quantitatively tested comparing the resulting cross section with that obtained from a direct many-body calculation of the relevant nuclear transition matrix elements.

The large body of existing work on data suggests that the effects of FSI can be strongly reduced measuring the cross section in kinematical conditions such that . For () , implying in turn (), this setup is referred to as parallel (antiparallel) kinematics DWIA1 ().

In parallel kinematics, the distorted momentum distribution at fixed , corresponding to fixed energy of the detected proton, becomes a function of missing momentum only

(22)

and the effects FSI can be easily identified. The real part of the optical potential brings about a shift in missing momentum, while inclusion of the the imaginary part leads to a significant reduction of the PWIA result, typically by a factor .

The treatment of FSI outlined in the is Section, developed by the Pavia Group, has been extensively tested, and employed to extract nuclear spectral functions from the cross sections measured at Saclay and NIKHEF. It has been recently applied to neutrino-argon interactions, in a study of the inclusive cross section measured by the ArgoNeuT Collaborationpavia_argoneut ().

In addition to hadronic FSI, in a nucleus as heavy as argon the distortion of the electron wave functions arising from interactions with the Coulomb field of the nucleus are also expected to be non negligible. Their effect, that can be taken into account through an expansion in powers of , has been analyzed in Ref. distortion (). The results of this study indicate that in the case of the simple prescription based on the use of an effective momentum transfer provides remarkably accurate results.

3 Relevant kinematical domain

We plan to study the cross sections in the kinematical region in which single nucleon knock out of a nucleon occupying a shell model orbit is the dominant reaction mechanism. The relevant missing energy domain is illustrated in Tab. 1, listing the separation energies of the proton and neutron shell model states belonging to the Fermi sea of  ANK (). For comparison, the corresponding quantities for ground state are reported in the same table.


57.38 52 66.12 62
36.52 32 43.80 40
31.62 28 39.12 35
14.95 11 22.48 18
10.67 8 17.53 13.15
8.88 6 15.79 11.45
5.56
Table 1: Separation energy of the proton and neutron shell model orbits relevant to the and ground states (adapted from Ref. ANK ()).
Figure 2: Proton removal energy distribution in the ground state, obtained from Eq.(23) using the spectral function model of Ref. ANK (). Note that the experimental missing energy resolution is expected to be better than that shown in this Figure.

Figure 2 shows the energy distribution

(23)

obtained from the model proton spectral function of discussed in Ref. ANK (). The spectroscopic lines corresponding to the valence orbitals are clearly visible, as are the bumps associated with more deeply bound states. Note, however, that the experimental missing energy resolution is expected to be better that that illustrated in Fig. 2.

The results of Tab. 1 and Fig. 2 suggest that the investigation of the mean field contribution to the Argon spectral function will require a scan of the missing energy domain extending from 8 MeV to 60 MeV, a range that can easily be achieved in (e,ep) experiments with the Hall A HRS spectrometers.

In the ground state, protons occupy the and orbits. The corresponding momentum distributions are defined as

(24)

where denotes the set of quantum numbers specifying the shell model states and is the Fourier transform of the corresponding radial wave function. The momentum distributions of the shell model orbits occupied by protons in the ground state are illustrated in Fig. 3. Note that the are normalized according to

(25)

where being the number of protons in the state .

The numerical results have been obtained through numerical solution of the Scrödinger equation with the Woods-Saxon potential reported in Ref. bisconti () and the parameter set corresponding to .

Figure 3 shows that the missing momentum range relevant to the proposed study extends to 350 MeV.

Figure 3: Momentum distributions of the shell model orbits occupied by protons in the ground state. The results have been obtained using the Woods-Saxon potential reported in Ref. bisconti ().

4 Kinematics and Experimental Rates

In the past, several experiments have been very successfully carried out in Hall A, using the HRS spectrometers. Measuring coincidence cross sections to obtain information on nuclear structure and dynamics was in fact one of the primary goals of the early Physics program at CEBAF (see, e.g. Ref.mougey ()). A list of past Hall A experiments can be found in Tab. 2.

E89-003 Study of the Quasielastic reaction in O at High Recoil Momentum
E89-044 Selected Studies of the He and 4He Nuclei through …
E97-111 Systematic Probe of Short-Range Correlations via the Reaction He
E00-102 Testing the limits of the Single Particle Model in O()
E03-104 Probing the Limits of the Standard Model of Nuclear Physics with the He()H Reaction
E04-004 In-Plane Separations and High Momentum Structure in d()n
E06-007 Impulse Approximation limitations to the () on Pb,
Table 2: Past experiments in Hall A

Throughout the experiments listed in Tab. 2 the knowledge on the technical parameters of the spectrometers has been continually improved, and the MC simulation packages that are now available have been refined and improved exploiting the experience accumulated over the years.

The proposed measurement of the reaction Ar will make use of the following key elements:

  • the techniques that have been developed, and the lessons learned from the past experiments;

  • the Hall A high resolution spectrometers - HRSs;

  • the long experience with cryogenic high pressure targets in both Hall A and Hall C.

The cross sections, the count rate calculations, and the simulations reported in this proposal were estimated using a beam current of 100 A on a 10 Atm, 15 cm long Argon target running at a temperature of 130 K. The target density will be of of 560 mg cm. These setting parameters will be used with a target luminosity of 5.510 cm sec.

The MCEEP software package was used to simulate the experiment, with the following assumptions for each of the HRS spectrometers:

  • 3.5%

  • 20 mr

  • 40 mr.

The above assumptions are nominally used for cross section measurements with the HRS in Hall A.

We regard these settings and the experimental simulation as solid, since they have already been proved to work excellently in the past. The O() experiment E89-003, which ran at a beam energy of 2.4 GeV and HRS settings very similar to those proposed herein, reached an experimentally demonstrated resolution of 0.9 MeV FWHM (i.e. sigma of 0.38 MeV) Gao:2000ne (). The data collected over the range of covered by the HRS are shown in Fig. 4. The results of the E89-003 experiment have been published in Physical Review Letters as two separate articles Gao:2000ne (); Liyanage:2000bf ().

Figure 4: The E89-003 ran at a beam energy of 2.4 GeV and HRS settings very close to those proposed herein. The EM resolution of 0.9 MeV FWHM was achieved and both bound state and continuum data was published in Physical Review Letters Gao:2000ne (); Liyanage:2000bf ().

4.1 Experimental Setup

Beam

We do not require beam polarization. The predicted count rates are such that the beam current can be less than 100 A, although we have used a conservative estimate. The standard Hall A beam position and beam current monitors are more than adequate for our needs. The beam must be raftered over 22 mm on the cryogenic targets.

Target

The parameters for the proposed 15 cm111We are looking into the possibility of using a slightly longer target (20 cm), in order to push the end cap further out of the acceptance of the HSRs. cryogenic argon target are given in Tab. 3. The relevant studies of computational fluid dynamics have been carried by Dr. S. Covrig CovrigPC2014 (). The results indicate that with a beam current of 100 A the average density loss will be just 3.9%. After consulting with the JLAB target group, we have also considered the possibility of reducing the pressure in the target cell in exchange for a thinner cell windows, the latter being a possible source of background.

Length Diameter Pressure Temperature Density Rad. Length End Wall Caps
15 cm 2 cm 10 ATM 130 K 560 mg/cm 2.9% 0.0254 cm
Table 3: Parameters of the proposed Argon cryogenic target.

4.2 Background and ancillary measurements

We require additional beam time for the end cap background contribution, spectrometer pointing, carbon and hydrogen elastic measurements which require the following targets:

  • LH cell of the same length as the Ar target - 15 cm (density 18.43 mg/cm);

  • C foils and multi-foils for y-target calibration 10 mils - (density 60 mg/cm);

  • Al dummy target (two foils Al with matched radiation length to filled Ar) (200 mg/cm) - current will be in this case limited to 25 A.

The beam time for the background measurements is comprised in the 9 days of requested beam time, and it has been included in Tab. 8.

Carbon pointing (single foil carbon runs) and Al dummy runs will be taken at each settings. We will match the radiation length of the filled target with the Al target (i.e. the Al in the dummy is thicker then the cells). The data taking in this case will be very fast, as it was in the past Alcorn:2004sb (). A preferred method will be fitting the shape of the Al data and subtracting the function with respect to just doing a data subtraction. In any case, we typically cut in y-target due to the very nice y-target resolution of the HRS (1 mm 90  degrees) so this typically ends up being a small correction.

4.3 Proposed Kinematics

In the parallel kinematics of this experiment the electron beam energy, the final electron energy (and therefore the energy transfer) and the knocked out proton momentum are held fixed. In order to sample different missing momentum () the electron scattering angle is varied from approximately 25 degrees to 13 degrees, as shown in detail in Tab. 4. Note that, on account of the spectrometer acceptances, the kinematical setups of Tab. 4, corresponding to E 50 MeV, automatically cover all the relevant missing energy range.

We are also requesting to take two settings in anti-parallel kinematics, shown in Tab. 5 as a cross-check of the spectral functions, or alternatively the momentum distributions, , extracted from the data. Being quantities describing intrinsic properties of the target, they should be independent of kinematics.

Measuring the momentum distribution twice will also allow us to gauge the accuracy of the treatment of FSI within the approach of Ref. FSI ().

Parallel Kinematics, Luminosity =
kinematics Coin. Rate
Hz
kin01 2200 1717 25.3 1000 -48.6 980 20 0.80 0.60
kin02 2200 1717 23.9 1000 -47.8 940 60 0.72 0.67
kin03 2200 1717 22.5 1000 -47.0 900 100 0.64 0.75
kin04 2200 1717 21.1 1000 -45.9 860 140 0.56 0.88
kin05 2200 1717 19.6 1000 -44.7 820 180 0.49 0.85
kin06 2200 1717 18.1 1000 -43.2 780 220 0.41 0.64
kin07 2200 1717 16.6 1000 -41.4 740 260 0.35 0.39
kin08 2200 1717 15.0 1000 -39.3 700 300 0.28 0.18
kin09 2200 1717 13.3 1000 -36.7 660 340 0.22 0.09
kin10 2200 1717 11.5222For this one extreme kinematics, the electron arm will not be centered as it is limited to 12.5 degrees, never the less, the indicated angle is within the acceptance. 1000 -33.4 620 380 0.17 0.06
Table 4: Kinematical variables, PWIA Ca cross section and coincidence rates in parallel kinematics.
Anti-parallel Kinematics, Luminosity =
Kinematics Coin. Rate
Hz
kin11 2200 1717 29.8 1000 -50.2 1110 -110 1.1 0.13
kin12 2200 1717 34.4 1000 -51.1 1247 -247 1.5 0.01
Table 5: Kinematical variables, PWIA Ca cross section and coincidence rate in anti-parallel kinematics.

4.4 Coincidence rates

Tables 4 and 5 provide a detailed account of the kinematic setups that we are proposing, along with the coincidence rates obtained from the six-fold PWIA cross-sections computed using the calcium spectral function of Ref.ANK () and the CC1 off shell extrapolation of the electron-nucleon cross section of Ref. defo ().

4.5 Singles rates

The single-arm background rates, for both the parallel and antiparallel kinematics, are summarized in Tab. 6 and 7.

The rate were calculated with the QFS computer code of Lightbody and O’Connell Lightbody (), while the , , and ) rates were obtained using the EPC code, also from Ref. Lightbody (). The rate calculations assumed a luminosity of cm.

As demonstrated by many past experiment, our predicted rates have never been a problem for the Hall A apparatus, and can be easily achievable.

Luminosity =
Kinematics Single Rate Single Rate
(e,e’) (e,)
Hz Hz
Parallel Kinematics
kin01 94.3 1090.0
kin02 140.6 1272.6
kin03 201.9 1520.6
kin04 288.9 1863.9
kin05 425.1 2354.4
kin06 670.4 3079.3
kin07 1100.9 4196.5
kin08 1844.9 6022.3
kin09 3133.8 9183.3
kin10 5477.3 15324.5
Anti-parallel Kinematics
kin11 18.4 741.2
kin12 2.7 953.8
Table 6: and single electron-arm rates along with accidental rates.
Luminosity =
Kinematics Single Rate Single Rate
(e,p) (e,)
Hz Hz
Parallel Kinematics
kin01 3733.2 1030.0
kin02 4305.5 1207.2
kin03 4986.8 1447.0
kin04 5913.3 1782.2
kin05 7085.0 2256.3
kin06 8665.5 2970.3
kin07 10818.3 4033.0
kin08 13870.3 5804.3
kin09 18393.8 8910.8
kin10 25369.8 14878.5
Anti-parallel Kinematics
kin11 2583.3 694.9
kin12 3297.3 899.2
Table 7: and single proton-arm rates.

4.6 Systematic and Statistical Uncertainties

We have estimated a statistical uncertainty for our measurements of 3%, and we assumed a systematic uncertainties of 3%.

In order to achieve that we will require luminosity monitoring and elastic cross section measurements at appropriate scattering angles to test the counting rates as a function of the beam current. This was done in the past by other experiments and will guarantee systematic uncertainties of the order of 3%, that will be added in quadrature to the statistical uncertainties.

5 Summary and Beam Time Request

5.1 Summary

The spectral function, trivially related to the two-point Green’s function, is a fundamental quantity describing the dynamics of interacting many-body systems. As such, its measurement through the analysis of the nuclear cross section is certainly valuable in its own right.

We propose to carry out an experiment aimed at obtaining the argon spectral function. The results of this measurement, besides yielding previously unavailable information on nuclear structure and dynamics, will provide the input needed to improve the simulation of neutrino interactions in liquid argon detectors, thus reducing the systematic uncertainty associated with the oscillation analysis of experiments such as LBNE.

The proposed measurement is mainly focused on the energy and momentum region in which shell model dynamics is known to dominate. The understanding of this region will allow for accurate prediction of the CC QE cross section in the single-nucleon knock out sector, which is known to be of paramount importance. However, it is important to keep in mind the that spectral function provides a description of the target ground state. Therefore, its knowledge is needed for the description of all interactions involving a single nucleon, independent of the final state.

Theoretical studies and extensive comparison with electron scattering data LDA (); PRD (); ANK2 () suggest that highly realistic models of the full spectral functions, suitable to describe two-nucleon emission processes arising from short range correlations in the initial state can be obtained combining the measured mean field spectral function with theoretical calculations of the continuum component within the LDA scheme LDA ().

The impact of the nuclear spectral function on neutrino oscillation parameters has been recently studied in Ref. gofsix ().

The results of this exploratory analysis, carried out using the GLoBES sensitivity framework, clearly show that the description of the nuclear ground state has a non-negligible influence on the determination of the atmospheric oscillation parameters in a typical disappearance experiment.

5.2 Beam Time Request

To perform this experiment and make the necessary systematic measurements we request 9 days of beam time at 2.2 GeV as shown in Tab. 8.

Time is also included to take carbon pointing data and multi-foil carbon target data to allow a calibration of the pointing of the spectrometers and y-target calibrations. The carbon data will also be useful for obtaining an independent measurement of the absolute missing mass calibration. The Al dummy data will allow us to subtract the end caps of the target cell from the data.

Luminosity =
Kinematics Beam Time
day(s)
Parallel Kinematics
kin1 0.25
kin2 0.25
kin3 0.25
kin4 0.25
kin5 0.25
kin6 0.25
kin7 0.25
kin8 0.25
kin9 0.50
kin10 1.00
Anti-parallel Kinematics
kin11 0.50
kin12 3.00
Calibration (Beam energy, current, etc.)
cal. 1.0
Table 8: Required beam time in parallel and antiparallel kinematics, and calibration.

References

  • (1) Y. Abe et al. (Double Chooz Collaboration) , Phys. Rev. Lett. 108, 131801 (2012).
  • (2) F. P. An et al. (Daya Bay Collaboration), Phys. Rev. Lett. 108, 171803 (2012).
  • (3) J. K. Ahn et al. (RENO Collaboration) , Phys. Rev. Lett. 108, 191802 (2012).
  • (4) T. Akiri et al. (LBNE Collaboration), arXiv:1110.6249 [hep-ex].
  • (5) A. A. Aguilar Arevalo et al. (MiniBooNE Collaboration), Phys. Rev. Lett. 100, 032301 (2008).
  • (6) A. A. Aguilar-Arevalo et al. (MiniBooNE Collaboration), Phys. Rev. D 82 (2010) 092005.
  • (7) A. A. Aguilar-Arevalo et al. (MiniBooNE Collaboration), arXiv:1309.7257 [hep-ex].
  • (8) B. G. Tice et al. (MINERA Collaboration), arXiv:1403.2103 [hep-ex].
  • (9) O. Benhar, D. Day, and I. Sick, Rev. Mod. Phys. 80, 189 (2008).
  • (10) A. Dieperink, T. de Forest, I. Sick, and R. Brandenburg, Phys. Lett. B 63, 261 (1976).
  • (11) H. Meier-Hajduk, C. Hajduk, P. Sauer, and W. Theis, Nucl. Phys. A 395, 332 (1983).
  • (12) O. Benhar, A. Fabrocini, and S. Fantoni, Nucl. Phys. A 505, 267 (1989).
  • (13) O. Benhar, A. Fabrocini, S. Fantoni, and I. Sick, Nucl. Phys. A 579, 493 (1994).
  • (14) O. Benhar, N. Farina, H. Nakamura, M. Sakuda, and R. Seki, Phys. Rev. D 72, 053005 (2005).
  • (15) A. M. Ankowski and J. T. Sobczyk, Phys. Rev. C 77, 044311 (2008).
  • (16) J. Mougey et al., Nucl. Phys. A 579, 262 (1976).
  • (17) G. J. Kramer et al., Phys. Lett. B 227, 199 (1989)
  • (18) C. Bisconti, F. A. de Saavedra, and G. Co,̀ Phys. Rev. C 75, 054302 (2007).
  • (19) C. H. Johnson and C. Mahaux, Phys. Rev. C 38, 2589 (1988).
  • (20) M. Anghinolfi et al., J. Phys. G, 21, L9 (1995).
  • (21) C. H. Johnson, R. F. Carlton, and R. R. Winters, Phys. Rev. C 44, 657 (1991).
  • (22) R. Acciarri et al. (ArgoNeuT Collaboration), arXiv:1404.4809 [hep-ex].
  • (23) S. Boffi. C. Giusti, and F.D. Pacati, Phys. Rep. 226, 1 (1993).
  • (24) T. Leitner and U. Mosel, Phys. Rev. C 81, 064614 (2010).
  • (25) P. Coloma, P. Huber, J. Kopp and W. Winter, Phys. Rev. D 87, no. 3, 033004 (2013).
  • (26) O. Lalakulich, U. Mosel and K. Gallmeister, Phys. Rev. C 86, 054606 (2012).
  • (27) M. Martini, M. Ericson and G. Chanfray, Phys. Rev. D 85, 093012 (2012).
  • (28) P. Coloma and P. Huber, Phys. Rev. Lett. 111, 221802 (2013).
  • (29) P. Coloma, P. Huber, C. -M. Jen and C. Mariani, Phys. Rev. D 89, 073015 (2014).
  • (30) D. Stefan and A. M. Ankowski, Acta Phys. Pol. B 40, 671 (2009).
  • (31) M. Alvioli, O. Benhar, M. Ericson, and M. Strikman, Phys. Rev. C 81, 041602(R) (2010).
  • (32) A. De Pace, M. Nardi, W. Alberico, T.W. Donnelly, and A. Molinari, Nucl. Phys. A 726,
    303 (2003).
  • (33) Modern Topics in Electron Scattering, Edited by B. Frois and I. Sick (World Scientific, Singapore, 1991).
  • (34) O. Benhar, V.R. Pandharipande, and S.C. Pieper, Rev. Mod. Phys. 65, 817 (1993).
  • (35) S. Boffi, C. Giusti, F.D. Pacati, and S. Frullani, Nucl. Phys. A 319, 461 (1979).
  • (36) A. Meucci, C. Giusti, and M. Vorabbi, Phys. Rev. D 88, 013006 (2013).
  • (37) C. Giusti and F. D. Pacati, Nucl. Phys. A 485 461 (1988).
  • (38) A. Saha and J. Mougey, in Research Program at Cebaf (II), 19 (1986).
  • (39) J. Gao et al. (Jefferson Lab Hall A Collaboration), Phys. Rev. Lett. 84, 3265 (2000).
  • (40) N. Liyanage et al. (Jefferson Lab Hall A Collaboration), Phys. Rev. Lett. 86, 5670 (2001).
  • (41) S. Covrig, private communication.
  • (42) T. de Forest, Nucl. Phys. A 392, 232 (1983).
  • (43) J. Alcorn, B. D. Anderson, K. A. Aniol, J. R. M. Annand, L. Auerbach, J. Arrington, T. Averett, and F. T. Baker et al., Nucl. Instrum. Meth. A 522, 294 (2004).
  • (44) J. Lightbody and J.S. Oconnell, Comput. Phys., 2, 57 (1988).
  • (45) A.M. Ankowski, O. Benhar, and M. Sakuda, arXiv:1404.5687 [nucl-th].
  • (46) C.-M. Jen, A.M. Ankowski, O. Benhar, A. P. Furmanski, L. N. Kalousis, and C. Mariani, arXiv:1402.6651 [nucl-th].
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