Prospects of Light Sterile Neutrino Oscillation and CP Violation Searches at the Fermilab Short Baseline Neutrino Facility
We investigate the ability of the Short Baseline Neutrino (SBN) experimental program at Fermilab to test the globally-allowed (3+) sterile neutrino oscillation parameter space. We explicitly consider the globally-allowed parameter space for the (3+1), (3+2), and (3+3) sterile neutrino oscillation scenarios. We find that SBN can probe with sensitivity more than 85%, 95% and 55% of the parameter space currently allowed at 99% confidence level for the (3+1), (3+2) and (3+3) scenarios, respectively. In the case of the (3+2) and (3+3) scenarios, CP-violating phases appear in the oscillation probability terms, leading to observable differences in the appearance probabilities of neutrinos and antineutrinos. We explore SBN’s sensitivity to those phases for the (3+2) scenario through the currently planned neutrino beam running, and investigate potential improvements through additional antineutrino beam running. We show that, if antineutrino exposure is considered, for maximal values of the (3+2) CP-violating phase , SBN could be the first experiment to directly observe hints of CP violation associated with an extended lepton sector.
During the past few decades, concurrently with the experimental confirmation of three-neutrino oscillations, several additional oscillation-like anomalous experimental signatures have surfaced, which may require new physics to interpret. One possible such new physics interpretation is that of additional, light sterile neutrinos Abazajian:2012ys . Those are new neutrino states which are assumed to have no weak interactions and are associated with light neutrino masses of order eV. The mass states are thought to have small weak flavor content (electron, muon, and potentially tau), leading to small-amplitude neutrino oscillations at relatively small m/MeV. The constraint of small weak flavor content (in particular electron and muon flavor) is imposed by unitarity of the overall neutrino mixing matrix, together with existing experimental bounds on the elements of the neutrino mixing matrix (see, e.g., Parke:2015goa ; Collin:2016aqd ). The over which such oscillations manifest is what dictates the associated mass splittings of eV. This signature is often referred to as short-baseline oscillations.
These anomalous short-baseline oscillation observations are contributed primarily by the LSND ds:lsnd and MiniBooNE Aguilar-Arevalo:2013pmq experiments. Both experiments have searched for appearance in a -dominated beam, at a similar , albeit each at a different , and with a different neutrino beam energy, . A third observation consistent with short-baseline oscillations has been provided in the disappearance channel from calibration measurements employing intense radioactive sources of high flux in radiochemical experiments, during the mid 1980’s ds:gal ; ds:gal2 . A fourth hint had been provided by past reactor-based short-baseline oscillation searches; specifically, recent reactor data re-analyses using updated reactor flux predictions showed evidence of a deficit in the reactor electron antineutrino event rates measured collectively by several experiments at values ranging between 2-20 m/MeV. This has been referred to as the “reactor anomaly” Mention:2011rk . However, recent realizations that large and unaccounted-for systematic uncertainties are associated with reactor neutrino flux predictions (see, e.g. Dwyer:2015pgm ; Hayes:2013wra ; Hayes:2015ctl ) dictate that the reactor anomaly cannot yet be interpreted decisively as a light sterile neutrino oscillation signature; such interpretations should await either improved reactor antineutrino flux modelling or dedicated searches for light sterile neutrino oscillations at reactor short baselines which are sensitive to distortions in reconstructed event spectra that are dependent. Such searches are now under way with a number of experiments Alekseev:2016llm ; Ko:2016owz ; Serebrov:2012sq ; Lane:2015alq ; Ashenfelter:2013oaa ; Helaine:2016bmc ; Ryder:2015sma .
Interpreting the above appearance and disappearance observations as sterile neutrino oscillations would imply large disappearance observable at short baselines. Such signature has not yet been observed; on the contrary, multiple experiments have imposed stringent bounds on sterile neutrino mixing parameters involved in the disappearance channel, bringing the viability of sterile neutrino models into question Giunti:2015jvi . The most recent disappearance data sets include IceCube TheIceCube:2016oqi and MINOS+ MINOS:2016viw . The most up to date global fits and results, incorporating IceCube constraints, are presented in Ref. Collin:2016rao . Despite the strong disappearance constraints, the MiniBooNE, LSND, and arguably the calibration source experimental results still stand as anomalous observations that require further investigation to resolve.
To definitively address these collective anomalies, the Short Baseline Neutrino (SBN) experimental program Antonello:2015lea was successfully proposed and is now under construction in the Booster Neutrino Beamline (BNB) at Fermilab. The BNB provides a high intensity, sign-selected, primarily (99%) muon neutrino (and muon antineutrino) flux ds:mbnu . Three liquid argon time projection chamber (LArTPC) detectors, comprising the already operating MicroBooNE detector, the SBND detector which is under construction, and the ICARUS detector which is under refurbishment, sample the and flux content at three distinct baselines. This allows SBN to perform electron neutrino appearance and muon neutrino disappearance searches with highly competitive sensitivity coverage, as presented in the SBN proposal Antonello:2015lea . Note, however, that the discovery potential of SBN has only been considered for the simplest sterile neutrino oscillation scenario, where only a single additional, mostly sterile neutrino mass eigenstate is assumed; this scenario is referred to as a (3+1) scenario.
In this paper, we perform an independent phenomenological study where we expand beyond the (3+1) scenario and, for the first time, evaluate SBN’s sensitivity to sterile neutrino oscillation models with two and three additional sterile neutrinos, referred to as (3+2) and (3+3), respectively. Furthermore, for the (3+1) scenario, we re-evaluate SBN’s sensitivity to electron neutrino appearance without the explicit assumption of negligible disappearance of intrinsic backgrounds, extending beyond what has been followed by the SBN collaboration in Antonello:2015lea . Finally, for the (3+2) scenario, we explore SBN’s sensitivity to additional CP violation that is potentially observable under this oscillation assumption. Although currently SBN is only approved to run in neutrino mode, it is interesting to consider what potential antineutrino mode running could add in terms of sensitivity to CP violation phases. We explore this question more explicitly for added antineutrino beam running at SBN, beyond the presently planned neutrino running.
The large (3+) parameter space dimensionality for makes it particularly challenging to provide simple and meaningful quantitative statements on SBN’s sensitivity reach with respect to these models. To deal with this issue, we have devised a new sensitivity metric that exploits existing experimental constraints to sterile neutrino oscillation scenarios to effectively reduce the parameter space over which SBN’s sensitivity reach must be quantified. The constraints are provided in the form of global fits to a representative sample of short-baseline oscillation data sets (both signal and null results), and are used to define a hypervolume of allowed parameter space under each (3+) hypothesis over which SBN’s sensitivity is evaluated.
The paper is organized as follows: In Sec. II, we introduce the sterile neutrino oscillation formalism followed in this work. In Sec. III we give the prescription used to fit global sterile neutrino oscillation data to reduce the parameter space over which SBN’s sensitivity is evaluated; we also summarize the results of fits performed under each oscillation hypothesis in Secs. III.1-III.3. In Sec. IV.1, we describe the SBN experimental facility in more detail. In Sec. IV.2, we describe the analysis method followed to estimate SBN’s sensitivity to (3+) sterile neutrino oscillations; more specifically, in Sec. IV.3 we describe the method used to predict the SBN measureable event spectra given any set of (3+) oscillation parameters, and in Sec. IV.4 we describe the SBN fitting framework and calculation method. We present sensitivity results for (3+1), (3+2) and (3+3) in Sec. V, and we further explore SBN’s sensitivity to CP-violating phases measurable in the (3+2) scenario in Sec. VI. Finally, a summary and conclusions are provided in Sec. VII.
Ii Sterile neutrino oscillation formalism
To account for three-neutrino oscillations, the Standard Model prescribes three neutrinos that are pure and distinct eigenstates of the weak interaction: , , and , each of which is a linear combination of three distinct neutrino mass eigenstates. The weak eigenstates are defined as
where or , and represents the elements of the Pontecorvo-Maki-Nakagawa-Sakata (PMNS) matrix, a , unitary, leptonic mixing matrix.
To determine the probability of a neutrino of flavor to be detected as flavor after travelling some distance and having energy , one may treat the neutrino as a plane wave and evolve the waveform over time. This gives an “oscillation” probability of
where and run over the three neutrino mass eigenstate indices, and define the mass-squared splitting between any two of the three neutrino mass states. The expression can be further parametrized as
where we have adopted natural units, . Antineutrino oscillation can be similarly calculated by substituting the mixing matrix elements with their complex conjugates, .
From the general oscillation probability formula in Eq. 3, one can add the effects of sterile neutrinos by expanding the PNMS matrix to a N, unitary mixing matrix, and summing over distinct mass eigenstates. In this paper, it is assumed that the additional neutrino mass states, , , and , will each be on the order of 0.1-10 eV, which follows from past and recent global fits Conrad:2012qt ; Collin:2016rao . The two lowest mass-squared splittings, and , are both well-established through multiple independent experiments and of order eV and eV. As both are sufficiently small, one may apply the short-baseline approximation to this formalism, wherein the three lowest mass states are set to be degenerate at eV. This also assumes a hierarchy where the , and mass states are the lightest.
With the above assumptions and approximations, for a (3+1) model, the oscillation probabilities for appearance and disappearance are given by
respectively, where . Thanks to the short-baseline approximation and the unitarity of the PMNS matrix, this case bears striking resemblance to a two neutrino oscillation.
For a (3+2) model, the oscillation probability is given by
in the case of appearance (), and
in the case of disappearance. Note that for (3+) neutrino models with N 1, one must consider the complex phases of the (extended) mixing matrix. Those appear as CP-violating phases in the oscillation probability, and are defined as for neutrino oscillations, and for antineutrino oscillations. This is equivalent to substituting with in Eq. 6 when considering antineutrino appearance probabilities.
Lastly, the (3+3) oscillation probability is given by
in the case of appearance, and
in the case of disappearance. In this case, there are three CP-violating phases which are free parameters of the model, , and .
Iii Globally Allowed (3+) Parameter Space
For any (3+) scenario under consideration, we first perform a fit over existing short-baseline neutrino experiment data, to extract the globally-allowed 90% and 99% confidence level (CL) regions over the full available oscillation parameter space. This is done primarily out of computational considerations, in order to obtain a reduced oscillation phase-space over which we subsequently quantify the SBN sensitivity. The data sets included in the global fit are summarized in Tab. 1, following the methods in Ref. Conrad:2012qt . We omit the recent MINOS+ MINOS:2016viw and IceCube TheIceCube:2016oqi constraints from the global fits, although we note that in the future those constraints should be included for more quantitatively accurate results. We expect that the qualitative conclusions drawn in this work stand regardless of inclusion of these more recent constraints in the fit or not.
|MiniBooNE - BNB ds:mbnu ; ds:mbnu2 ; ds:mbnubar ; ds:mbnubar2|
|MiniBooNE - NuMI ds:numi|
|KARMEN, LSND (xsec) ds:xsec|
|Gallium (GALLEX and SAGE) ds:gal ; ds:gal2|
|Bugey ds:bugey ; ds:bugey2|
|MiniBooNE - BNB ds:mbnudis ; ds:mbnubardis|
|MINOS-CC ds:minos ; ds:minos2|
|Atmospheric Constraints ds:superk1 ; ds:superk2 ; ds:k2k1 ; ds:k2k2 ; ds:k2k3|
For each experimental data set included in the global fit, a Monte Carlo prediction is calculated using the oscillation probability derived for a given set of sterile neutrino oscillation parameters and for a given oscillation scenario (Eqs. 1-9), and compared against observed data from the experiment. The resulting for each experimental data set is summed to form a global for each sterile neutrino model, assuming that there are no correlations among the data sets considered in the fit.
Given the broad parameter space in these fits, particularly for the (3+3) scenario that features twelve (12) independent mixing parameters, a grid scan of any reasonable resolution would be very computationally costly. Instead, the scanning of mixing parameters for each oscillation scenario is done more efficiently using a Markov chain minimization routine, following the method employed in Ref. Conrad:2012qt . The range over which each oscillation fit parameter is defined is set as follows:
where and . Initial values for the additional neutrino mass states, mixing matrix elements and CP-violating phase(s) are generated randomly from within their corresponding ranges. Then, each of the fit parameters is generated for each successive step in the minimization chain using
where is a random number in (0,1) and is a configurable step size scale. Further constraints are applied to all generated , consistent with unitarity bounds, by rejecting points in the parameter space where any of the following definitions are invalid:
for , or
For each step meeting the above constraints, a (global) is calculated for the given set of oscillation parameters by fitting to the experimental data sets. The resulting is then compared against the calculated in the previous point in the chain, , to determine the probability of accepting this new point into the Markov chain. This probability is given by
where is also a configurable parameter in the Markov chain. By randomly varying the values of , and , one can combine multiple minimization chains to reach the global minimum while evading local minima.
The resulting global multi-dimensional surface is used to determine the parameter space allowed at a certain confidence level, using a cut relative to the global minimum, . Once a globally-allowed region for a certain scenario is obtained, the region gets discretized over a grid of spacepoints, where is the number of oscillation parameters in the given scenario. The spacepoints are evenly distributed over the ranges defined above, and in a linear scale in mixing elements and a logarithmic scale in . Only for the purpose of illustrating two-dimensional projected allowed regions, we marginalize over the oscillation parameter space and thus a cut of 4.61 (90% CL) and 9.21 (99% CL) using 2 degrees of freedom () is applied. However, to extract the -dimensional phase-space over which we later quantify the SBN sensitivity, the cuts applied more appropriately correspond to , where and 12 for (3+1), (3+2) and (3+3), respectively.
The following subsections provide a summary of the global fit results that are used as input to the SBN sensitivity studies.
iii.1 (3+1) Globally Allowed Regions
In this subsection, we summarize the results of the global fit to all data sets listed in Tab. 1 under the (3+1) oscillation hypothesis. The best fit parameters obtained in this fit, and corresponding , are provided in Tab. 2. A two-dimensional allowed region profiled into - is illustrated in Fig. 1, where . The region at around 1 eV is largely driven by the LSND and MiniBooNE anomalies. Note, however, that the recent IceCube constraints tend to shift this allowed region slightly, to higher and slightly lower mixing amplitudes. The difference between the eV and eV regions in terms of has been reported to be very small, suggesting that one of those new regions is only marginally preferred over the other. For this reason we have chosen to carry out sensitivity studies without the IceCube constraints included for the time being.
iii.2 (3+2) Globally Allowed Regions
In this subsection, we summarize the results of the global fit to all data sets listed in Tab. 1 under the (3+2) oscillation hypothesis. The best fit parameters obtained in this fit, and corresponding , are provided in Tab. 2. A two-dimensional allowed region profiled into (,) space is illustrated in Fig. 2.
By adding a second light sterile neutrino, one also adds a CP-violating phase, . This additional phase can be influential at short baselines and can relieve some of the tension between neutrino and antineutrino data sets, providing a better overall fit to global data. This improvement has been demonstrated to be the case in particular when considering appearance-only data sets (see, e.g. Kopp:2013vaa ; Giunti:2015jvi ; Conrad:2012qt ).
iii.3 (3+3) Globally Allowed Regions
In this subsection, we summarize the results of the global fit to all data sets listed in Tab. 1 under the (3+3) oscillation hypothesis. The best fit parameters obtained in this fit, and corresponding , are provided in Tab. 2. Two-dimensional allowed regions profiled into (,) and (,) space are illustrated in Figs. 3 and 4, respectively.
The addition of yet another light sterile degree of freedom comes with five additional parameters, including an additional independent mass splitting, two additional mixing elements, and two additional CP-violating phases. This further increases the hypervolume of parameter space allowed under the global data sets, although the preference for one of the best fit being close to evident in the (3+1) and (3+2) hypotheses seems to persist. Furthermore, as in the (3+2) case, the additional CP-violating phases in the (3+3) case have been shown to lead to a further reduction in tension between neutrino and antineutrino data sets as well as an overall lessening of the disagreement between appearance-only and disappearance-only fits (see, e.g., Refs. Kopp:2013vaa ; Giunti:2015jvi ; Conrad:2012qt ).
Iv SBN Sensitivity to (3+) Oscillations
iv.1 The SBN Program
The Short Baseline Neutrino (SBN) program aims to perform a highly sensitive search for sterile neutrino oscillations at an of km/GeV. The program utilizes three LArTPC detectors—ICARUS, MicroBooNE and SBND—each placed at a different baseline along the Booster Neutrino Beam (BNB) line at Fermilab.
ICARUS is the first large-scale LArTPC neutrino detector ever constructed, and has previously operated at the Gran Sasso National Laboratory in Italy. It is presently being refurbished and prepared for transit to Fermilab in Spring of 2017. It has an active mass of 476 tons of liquid argon and will be placed 600 meters from neutrino production in the BNB, forming the far detector of the SBN program. MicroBooNE is the mid detector, and it has already begun operations in the BNB, in October 2015. The MicroBooNE active mass is 89 tons, and the detector is located at 470 meters from neutrino production, at roughly the same baseline as its predecessor MiniBooNE experiment. MicroBooNE is on track to collect data corresponding to a beam delivery of 6.6e20 protons on target (POT) before concurrent running with SBND and ICARUS begins. SBND will act as a near detector for the SBN program, located at 110 meters from neutrino production and with an active mass of 112 tons. It is currently under construction and is scheduled to begin taking data with ICARUS and MicroBooNE in late 2018 Antonello:2015lea .
The strength of the SBN program comes from the utilization of each of these three detectors in concert, sharing the same beam and the same neutrino interaction target (argon). SBND in particular will be recording very high statistics of interactions of the (mostly un-oscillated) neutrino flux, and thus will be capable of constraining flux and cross section systematic uncertainties for the event rate measurements at the farther detectors. Since all three detectors share the same detector technology, their detector systematics are also expected to be correlated to a certain extent. This will grant unprecedented sensitivity to short-baseline neutrino oscillations, allowing for the verification or ruling out of a large area of parameter space for (3+) sterile neutrino oscillations.
iv.2 Sensitivity Analysis Method
In order to evaluate SBN’s sensitivity to () sterile neutrino oscillations, we consider the oscillation-induced fluctuations that are measurable in the exclusive (and ) and (and ) charged-current (CC) event spectra of each of the SBN detectors111Since the detectors are not capable of classifying a single event as either a neutrino or an antinuetrino interaction, we treat reconstructed neutrino and antineutrino events in these spectra indistinguishably.. The event spectra are provided in terms of reconstructed neutrino energy, and were estimated as described in Sec. IV.3.
The CC spectrum at each detector location is sensitive to potential appearance in the -dominated BNB. For this sample, because background contributions are comparable to signal contributions for most of the globally-allowed (3+) oscillation parameter space, we additionally consider the effects of (1) disappearance of the intrinsic background in the beam; and (2) disappearance of the mis-identified background from CC interactions. We assume that the mis-identified background from neutral-current (NC) interactions will be measured and constrained independently and in situ for each of the SBN detectors, and therefore we ignore any oscillation variations on that particular background in these fits.
The CC spectrum, on the other hand, is sensitive to exclusively disappearance. In this case, we ignore not only oscillation variations on any backgrounds, but also background contributions from NC production events altogether. Based on Ref. Antonello:2015lea , this background contribution has negligible effect on the SBN sensitivity.
Combining and CC measurements, and accounting for correlations due to flux and cross-section between the different exclusive samples ( CC, CC, etc.), baselines (near, mid, far), and beam running mode (neutrino or antineutrino), allows one to simultaneously constrain both appearance and disappearance probabilities for and oscillations. We have developed and followed a fit method that allows for these correlations to be exploited, and which also allows for studying these effects in combination or separately. The fit method is described in detail Sec. IV.4.
iv.3 Predicting SBN Event Spectra
The SBN and CC event spectra used in this work were fully simulated on an event-by-event basis. The raw rates of each flavor of neutrino impinging on the three SBN detectors were evaluated using the flux predictions in LAr1ND_prop . Events were generated in GENIE 2.8.6 (default settings used) separately for each neutrino type (, , , ) and for the beam polarity in both neutrino and antineutrino mode.
Ten million events were generated for each flavor, detector, and beam polarity. This corresponds to 8e20 POT for the SBND neutrino mode flux, and significantly more for all other samples. Weights were applied to all events to normalize them to the rates predicted by GENIE for the expected exposure and for each detector active mass. The beam exposure assumed for neutrino running mode is the nominal 6.6e20 POT for which the SBN program has been approved to run, plus the preceding 6.6e20 POT with MicroBooNE-only running.
Subsequently to event generation, events were processed further to emulate the reconstruction and selection of CC and CC events, following the assumptions provided in Antonello:2015lea . More specifically, to estimate detector effects without the need for a full detector simulation, neutrino interaction final state energies were smeared according to a Gaussian around their true value, using the detector energy resolution quoted in Antonello:2015lea : 15%/ for electrons and photons, and 6%/ for muons and pions; all protons with true kinetic energy below 21 MeV were assumed to be non-reconstructable, while those above this threshold as well as other charged hadrons had their kinetic energies smeared by 5%. All smeared hadronic energies were added to form the hadronic activity, and the reconstructed neutrino energy was then defined as the total sum of visible (smeared) lepton or photon energy and hadronic activity, as well as the rest masses of all leptons and non-proton charged hadrons. A lower threshold of 100 MeV was also placed on electron and photon energies in order for them to be defined as reconstructable, in line with the SBN proposal assumptions.
The fiducial volume cut efficiency for each detector was then emulated by randomizing the neutrino interaction vertex position within the predefined active detector volumes, and applying geometric cuts, with the position and direction of all final state muons and e/ showers in the simulation accounted for to accurately estimate backgrounds and efficiencies. This is of utmost importance to the appearance signal as decays, in which only one photon is reconstructed successfully, can be a non-negligible background.
The following contributions were included explicitly in the CC sample:
Intrinsic and signal CC events: These events are the largest contribution to the CC sample. All appearance signal (from potential oscillations) and intrinsic beam CC events producing an electron with reconstructed neutrino energy 200 MeV were included with an overall 80% identification efficiency.
NC single photon events, from either NC production followed by radiative decay, or production followed by decay into two photons where only one photon is reconstructable, are also considered as a potential background contribution in the CC sample. In particular, events in which the photon is reconstructed too close (within 3 cm) to a vertex identified by significant hadronic activity (defined as MeV), or in which no hadronic activity is visible, were included as backgrounds if the reconstructed event energy satisfies the 200 MeV threshold. Those selected events received an additional reduction factor scaling assuming a 94% photon rejection efficiency.
CC events in which the muon is mis-identified as a pion and simultaneously an additional photon (e.g from decay) mimics the electron from a CC event were also included as a background contribution to the CC sample. To quantify this background, all CC events with a track of length m were assumed to be identifiable as -induced CC events and were rejected. Those with a track length below 1 m were accepted as potential mis-identified events, if any photons in the event were accepted under the same conditions as in the NC single photon events, above.
Interactions outside of the TPC producing photons that propagate inside the active volume are a source of background as well. These “Dirt” backgrounds were included with rates (per POT) taken directly from Ref. Antonello:2015lea . We assume that independent measurements of these backgrounds at each detector location will render this contribution insensitive to any oscillation effects.
Cosmogenic backgrounds are expected to be well constrained by topological, calometric and timing cuts, with the background contribution scaling linearly with POT. The numbers we use were taken directly from Ref. Antonello:2015lea and correspond to 146, 88 and 164 cosmogenic background events for SBND, MicroBooNE and ICARUS, respectively, for an exposure corresponding to 6.6e20 POT. Although significantly smaller than the intrinsic CC backgrounds, they tend to accumulate at low energy, and thus they were included in our analysis following the approach in Ref. Antonello:2015lea .
Cosmogenic and dirt background contributions in antineutrino running mode, are taken to be identical (in rate) to the neutrino running mode samples, scaled only according to POT.
Similarly, for the CC sample, intrinsic beam CC events were assumed to be selected with an 80% reconstruction and identification efficiency. Potential background contributions would result from NC interactions where the can be mis-identified as a muon. This background was mitigated by requiring that all contained muon-like tracks have a track length larger than 50 cm, and that all escaping tracks that have a track length of less than 1 m are rejected. This is the same methodology as what was followed in Ref. Antonello:2015lea .
We show our simulated neutrino mode predictions of the CC and CC spectra for the MicroBooNE detector in Fig. 5, along with an estimated appearance-only signal prediction for a benchmark (3+1) sterile neutrino oscillation model with eV and appearance amplitude of in the upper figure, and disappearance amplitude of in the lower figure. The spectra are in reasonable agreement with those provided in Ref. Antonello:2015lea .
iv.4 Sbn Calculation
To facilitate a multi-baseline, multi-channel, and multi-mode (neutrino and potential antineutrino running) oscillation search with the SBN detectors, we use a custom fitting framework to simultaneously fit the reconstructed CC and CC inclusive spectra expected at each detector with and without oscillations, and for each running mode, simultaneously. This simultaneous, side-by-side fit of multiple event samples by way of a full covariance matrix that contains statistical and systematic uncertainties as well as systematic correlations among the different samples, baselines, and running modes, builds on a general approach that has been followed by the MiniBooNE collaboration for several analyses, e.g. ds:mbnu ; ds:mbnu2 ; ds:mbnubar ; ds:mbnubar2 ; ds:mbnubardis ; ds:mbnudis , as well as by the SBN collaboration. However, this is the first time that multi-channel and multi-mode first are attempted for SBN. We have chosen this approach specifically so that we may exploit powerful correlations shared within and among the spectra that are measurable by each of the three detectors, with the aim of providing stronger constraints to the multi-parameter oscillation hypotheses under consideration.
The SBN fit quality is quantified over an -dimensional oscillation parameter space volume by way of a . The is calculated over concatenated CC inclusive and CC inclusive spectra for all three detectors, as
where is the number of events expected under the no oscillation hypothesis (defined as ) in the bin of reconstructed neutrino energy; is the number of events predicted to be observed in reconstructed neutrino energy bin under an oscillation hypothesis described by the set of parameter values ; and is a full covariance matrix containing the total systematic and statistical uncertainty, including systematic correlations between any two bins and . The CC and CC samples for each detector location are binned in 11 and 19 bins of reconstructed neutrino energy, respectively, as shown in Fig. 5. Thus, for all three detector locations, the concatenated spectra and consist of a total of bins for neutrino-only fits, and bins for neutrino and antineutrino combined fits.
The covariance matrix, which is a matrix for neutrino-only fits, and a matrix for combined neutrino and antineutrino fits, is calculated as the sum of covariance matrices estimated for each (independent) source of systematic and statistical uncertainty,
Table 3 summarizes the assumed variations on specific contributions to the inclusive and CC samples due to different sources of systematic uncertainty; those variations were used to calculate each corresponding fractional systematics covariance matrix. The assumed numbers are based on Ref. Antonello:2015lea . More specifically, flux systematic uncertainties were estimated by assuming an overall 20% normalization uncertainty fully correlated among the intrinsic (background and signal) and events, with the exception of exclusive samples that are assumed to be constrained in situ; namely, dirt, cosmogenic, and NC backgrounds in the CC sample. A 60% flux correlation coefficient was assumed among and events. Cross section systematic uncertainties were estimated by assuming an overall 20% normalization uncertainty fully correlated among CC-only events, and a corresponding 30% normalization uncertainty among NC-only events. Again, dirt, cosmogenic, and NC backgrounds in the CC sample are exempted from this uncertainty. A 50% CC-NC cross section correlation coefficient is assumed among CC and NC events. Furthermore, neutrino and antineutrino spectra CC cross section uncertainties are assumed to be 100% correlated, and likewise for NC cross-section uncertainties. Detector systematics are assumed to be fully uncorrelated among different detectors, and contribute to the overall uncertainty at the level of 2.5%. These are taken to be fully correlated for neutrino and antineutrino spectra in any given detector.
|Source of Uncertainty||Assumed variation|
|flux||15.3% on events|
|flux||15.1% on events|
|CC cross section||20% on CC events|
|NC cross section||30% on NC events|
|detector effects||2.5% on all events|
The dirt event rate uncertainty is assumed to be constrained through in situ dirt-enhanced sample measurements at each detector and in each running mode. A 15% normalization uncertainty is assumed for dirt events, taken to be uncorrelated between the different detectors and the neutrino and antineutrino run samples. Similarly, the cosmogenic background uncertainty is assumed to be constrained through in situ off-beam high-statistics rate measurements at each detector. A 1% normalization uncertainty is assumed for cosmic backgrounds, assumed to be uncorrelated between different detectors, but fully correlated between neutrino and antineutrino samples within any given detector. Finally, NC backgrounds are also assumed to be constrained through an situ NC event rate measurements in each detector, thus the estimated statistical uncertainty of the in situ measurement is taken as the systematic uncertainty on these backgrounds. This corresponds to a 0.24%, 1.3%, and 5% normalization uncertainty for the SBND, MicroBooNE, and ICARUS NC background rates, respectively, for 6.6e20 POT. This systematic uncertainty is assumed to be uncorrelated for neutrino and antineutrino run samples.
When quantifying SBN’s sensitivity, we are interested primarily in two fitting methods:
combined dis/appearance and disappearance fits, where is evaluated assuming oscillations, disappearance, as well as disappearance. We note that this is the first time that SBN sensitivities are evaluated without the implicit assumption of no significant or disappearance; as demonstrated in the results section, this implicit assumption can have a non-negligible effect on the SBN sensitivity.
V SBN Sensitivity to Sterile Neutrino Oscillations: Results
v.1 (3+1) Scenario at SBN
Throughout this analysis we will use the globally allowed regions of sterile neutrino parameter space, as described in Sec. III, to investigate what fraction of that parameter space SBN should be able to probe.
For reference, we first explore SBN’s sensitivity reach in neutrino running mode under three separate oscillation assumptions:
appearance-only (assuming no or disappearance). We note that this case involves an odd assumption in a (3+1) oscillation hypothesis, as appearance implies both and disappearance. However, in the past this case has been applied to MiniBooNE searches to a reasonably good approximation, and has furthermore been applied to SBN sensitivity studies in Antonello:2015lea . We therefore consider it only as an instructive example, and to further argue that it is not a reasonable approximation to use for SBN.
disappearance-only (assuming no dis/appearance). We consider this case only as an instructive scenario, as the interpretation of short-baseline positive signals also require dis/appearance.
disappearance-only (assuming no disappearance or appearance). We also consider this case only as an instructive scenario, as the interpretation of short-baseline positive signals require both and disappearance (and appearance).
Figure 6 shows the SBN appearance-only sensitivity reach in vs. space under a (3+1) hypothesis obtained using the definition described in Sec. IV.4 and applying a “raster scan” over this reduced two-dimensional parameter space. The appearance-only sensitivity is provided here merely for comparison to the sensitivity presented in the SBN proposal Antonello:2015lea , which uses the same assumption of no background disappearance, as a means of validating our methodology. The resulting sensitivity in this work, when incorporating full detector, cross-section and flux systematics (yellow curve), is consistent with the one published in the SBN proposal (black curve).
The statistics-only sensitivity curve obtained in this work is also shown, in blue. Comparing the blue and red curves demonstrates the effect of systematic uncertainties on the sensitivity, which is to diminish sensitivity to higher- oscillations. This is due to the fact that the dominant systematic is the flux and cross-section normalization uncertainty. The comparison also demonstrates the power of exploiting correlations that exist among multiple baselines and multiple interaction channels. Accounting for these correlations leads to an effective cancellation of systematic uncertainties across the three-detector spectra, evident in particular in the low- region. Shown also is our projected MicroBooNE-only result after its first run, corresponding 6.6e20 POT. Overlaid over all these curves is the LSND 90% CL allowed region (shaded green area) as well as the (3+1) 99% CL globally allowed region from Fig. 1. The raster scan sensitivities are obtained using a one-sided cut for 1 , while the globally allowed region corresponds to a global scan using a cut for 2 .
The SBN disappearance-only search gives the sensitivity curve shown in Fig. 7 (red curve). As the sensitivity presented in the SBN proposal (black curve) does not include detector systematics, it outperforms the one obtained in this work. This is expected, as detector systematics across the three detectors are taken to be fully uncorrelated in our fits. As a cross check, we compare to the statistics-only sensitivity obtained in this work (blue curve), which is found to lie mostly to the left of both other curves, also as expected. Shown also is the prediction for MicroBooNE (BooNE) after its first 6.6e20 POT exposure.
Due to the proximity of the SBND experiment to the BNB target, the flux of intrinsic at the detector is extremely large. Specifically, SBND expects to record over 35,000 CC events for 6.6e20 POT. This allows for an additional oscillation channel to be probed, that of disappearance. The SBN disappearance-only sensitivity reach is shown in Fig. 8 (red curve). We note that this is the first time that SBN’s sensitivity to disappearance has been explicitly quantified. Although this search is less sensitive to the 1 eV region, due to the fact that the flux has a relatively high mean energy, at higher values it is comparable in reach to that of reactor short-baseline disappearance bounds. It is also a direct probe of using a high-energy neutrino beam in complementarity with the MeV-scale antineutrino reactor flux searches.
Although instructive, none of the above three cases are actually appropriate for an SBN oscillation search if one assumes that the sterile neutrino contains mixing to both the electron and muon sectors. Instead, a proper search for oscillations at SBN should consider the simultaneous effects of both disappearance and disappearance and, consequently, appearance. We therefore adopt this case, referred to as dis/appearance and disappearance, as the proper SBN sensitivity search method, and we present results corresponding to this case throughout the following sections.
As the primary physics goal of the SBN programme is to definitively probe the light sterile neutrino sector that could be responsible for the low-energy anomalies, we use the new metric defined in previous sections to quantify how well SBN can achieve this goal under each of the (3+1), (3+2) and (3+3) scenarios. This metric is referred to as Global % CL “Coverage”, and it refers to the fraction of hypervolume of the % CL globally-allowed oscillation parameter space that can be ruled out by SBN with a certain confidence level, if SBN observed no oscillations. To estimate global coverage, we first discretize the sterile neutrino parameter space in 100 points in each independent mass-squared difference, mixing element, and CP phase. The mass-squared differences are each discretized over the range of 0.01 eV to 100 eV (in grid points that are equidistant in logarithmic scale), while the mixing elements are discretized in 100 linearly spaced grid points ranging from 0 to 0.5, and the CP-violating phases in 100 points ranging linearly from 0 to . This allows to calculate a hypervolume represented by the number of space points or the “size” of parameter space that is preferentially allowed by global data at a given confidence interval (in our case, 99%). We can then express SBN’s sensitivity reach as the fractional number of space points or fraction of this hypervolume that SBN can exclude at any given confidence level.
A concrete example of this methodology is shown in Fig. 9, where we show the percent of the 99% CL. allowed region that SBN can exclude at a given in a appearance only (dotted line), a disappearance only (dashed line), as well as a dis/appearance and disappearance (solid line) fit, assuming 6.6e20 POT collected concurrently with all three SBN detectors, after the first MicroBooNE-only run of 6.6e20 POT (with MicroBooNE-only data also included). The results for the (3+1) scenario are shown in the top panel. Shown also are the results for the (3+2) and (3+3) scenarios, in the middle and bottom panels, which will be discussed in their respective sections below.
From the top panel, it is evident that the best performance is possible in the case of a dis/appearance and disappearance search (solid line). In that case, SBN can cover close to 100% of the 99% CL globally allowed (3+1) parameter space at 3, and similarly 85% of the parameter space at 5. In contrast, an appearance-only search can only cover 85% of the parameter space at 3, and only 50% of the parameter at 5. We note that in drawing these comparisons we use cuts corresponding to three (3) for all three cases ( appearance, disappearance, and dis/appearance and disappearance).
Nevertheless, although a dis/appearance and disappearance search provides a more powerful sensitivity to the (3+1) parameter space, one would like to see a strong exclusion in both the exclusive appearance search and the exclusive disappearance and disappearance searches individually in order to conclusively rule out any light sterile neutrino oscillation hypothesis. The POT at which such a statement can be made is explored in Fig. 10, which shows the SBN 3 and 5 coverage (in yellow and red, respectively) as a function of POT delivered to the SBN program. As we assume that MicroBooNE has already ran for 6.6e20 POT by the time that the three-detector SBN program commences, the axis corresponds explicitly to the POT delivered for the three-detector operations, and the plot by construction demonstrates the MicroBooNE-only (6.6e20 POT) coverage at . We note that even a MicroBooNE-only combined dis/appearance and disappearance search would yield a 3 coverage of 25% of the (3+1) globally-allowed parameter space. In general, the total coverage is driven primarily by the disappearance channel, as evident by the dotted line(s) lying close to the solid line(s).
v.2 (3+2) Scenario at SBN
To achieve its goal of definitively addressing sterile neutrino oscillations, SBN will need to have extensive coverage of the (3+2) (and similarly (3+3)) sterile neutrino oscillation parameters as well. In the case of the (3+2) scenario, the additional parameters introduced when one adds another light sterile neutrino happen to enlarge the size of the parameter space that is preferred by the global fits. Nevertheless, as can be seen in the middle panes of Fig. 9, the percentage of globally allowed (3+2) parameter space (at 99% CL.) that SBN can cover at any given confidence level is generally comparable to that of the (3+1) scenario. SBN is able to cover 100% (95%) of parameter space the 3(5) level in a combined dis/appearance and disappearance under the (3+2) scenario. In contrast, using appearance-only fits, SBN is limited to a maximum of 82(46)% possible coverage at 3(5), assuming a nominal exposure of 6.6e20 POT. The SBN 3 and 5 coverage of the (3+2) parameter space as a function of POT can be shown in Fig. 11. We note that in drawing these comparisons we use cuts corresponding to seven (7) for all three cases.
v.3 (3+3) Scenario at SBN
The (3+3) scenario represents the most challenging scenario for the SBN program to definitively rule out, containing a total of three independent CP-violating phases and twelve independent mass and mixing parameters. As can be seen in Fig. 9, bottom panel, at its full planned exposure of 6.6e20 POT, the SBN program can cover only 90(57)% of the globally allowed 99% CL region at greater than 3(5), and only with a combined dis/appearance and disappearance search. In a appearance-only search, SBN only covers 25(5)% of the globally allowed parameter space at 3(5). The SBN coverage of (3+3) allowed regions as a function of delivered POT is shown in Fig. 12. The figure also shows that MicroBooNE alone cannot probe any (3+3) parameter space.
v.4 disappearance effects at SBN
As this is the first time that SBN’s sensitivity to disappearance has been demonstrated, we find it interesting to consider explicitly the effect of ignoring disappearance effects in the measured CC spectra, when performing combined appearance and disappearance fits. We additionally show, in Fig. 9, the SBN coverage under the (3+1), (3+2), and (3+3) scenarios in a combined appearance and disappearance only search (dot-dashed line). By comparing this to the scenario in which the background is allowed to oscillate away, it is evident that performing an SBN search for sterile neutrino oscillations without the explicit assumption of negligible disappearance of intrinsic backgrounds has a significant effect on SBN’s sensitivity, and warrants its consideration along with careful consideration of systematic correlations among exclusive samples measurable at SBN.
Vi CP-violating phases at SBN
The addition of CP-violating phases in the (3+2) and (3+3) sterile neutrino scenarios introduces the potential of new oscillation probability asymmetries at SBN that would be observable in comparisons of neutrino and antineutrino oscillations. Although there is currently no planned antineutrino running for SBN, when considering the possibility non-zero CP-violating phases associated with sterile neutrinos, it is natural to ask whether SBN’s sensitivity coverage improves with the inclusion of a combination of neutrino and antineutrino running. In particular, one may consider whether SBN’s ability to rule out the short-baseline anomalies improves with the addition of antineutrino running. Another consideration is whether additional antineutrino running would allow for more precise measurements of new neutrino mass splittings and mixings and in particular any CP-violating phases associated with additional states, should a potential sterile neutrino signal be confirmed with SBN neutrino running.
vi.1 Antineutrino coverage in the absence of a signal
To investigate the impact of antineutrino running at SBN, we expand the fit as described in Sec. IV.4 to include observable CC and CC spectra at the three SBN detectors in antineutrino running mode, as well as in neutrino mode. The same background definitions are considered as in neutrino mode, and the backgrounds are re-evaluated assuming no right- or wrong-sign discrimination within each event sample, as described in Sec. IV.3.
First, coverage is evaluated for a variety of additional beam exposures (beyond the first 6.6e20 POT in neutrino running mode). Figure 13 shows the exposure in POT for additional neutrino and additional antineutrino running (and combinations) that the SBN program requires, in order to probe the 99% CL globally allowed regions at 3 (solid curves) and 5 (dashed curves) for the (3+1) scenario at a percentage coverage as indicated explicitly on each curve. We focus on the strongest exclusion case, as motivated in Sec. V.1, corresponding to a combined dis/appearance and disappearance fit. We highlight that it is far more efficient to cover a given fraction of parameter space with additional neutrino-only running, rather than antineutrino-only or any combination of additional neutrino plus antineutrino running. This is evident from these figures as no point on any curve deviates from the origin by a distance smaller than the curve’s -coordinate for . This is expected for the (3+1) scenario, as neutrino and antineutrino oscillation probabilities under the two-neutrino oscillation approximation we’ve employed are identical by construction. Therefore, antineutrino running offers no additional information, and it is generally less efficient due to the lower flux and cross-section, and, hence, event statistics.
Figures 14 and 15 show the same information for the (3+2) and (3+3) scenarios, respectively. Interestingly, just as in the (3+1) case, we observe again that it is far more efficient to cover any given fraction of parameter space with additional neutrino-only rather than antineutrino-only or any combination of neutrino plus antineutrino running. At first this may seem counter-intuitive, as it may be expected that antineutrino running would provide visibly more coverage due to enhanced sensitivity to CP-violating phases in these scenarios. However, the increased statistics per POT that are available in neutrino mode running are far more efficient in constraining all other mixing parameters and masses allowed in these oscillation hypotheses. Since these plots quantify overall coverage of the -dimensional phase-space in each scenario, it is quite reasonable (and arguably expected) that antineutrino running proves less effective in terms of this metric.
In the absence of a possible signal, additional POT in antineutrino mode (as opposed to neutrino mode) does not help to rule out the null hypothesis faster, for any scenario. It can be argued that SBN’s sensitivity to CP violation through comparisons of neutrino and antineutrino running spectra suffers from the significant222Approximately 30% of events in antineutrino running mode are expected to be due to neutrino interactions. wrong-sign neutrino contribution inherent in the BNB beam when running in antineutrino mode. Further studies into methods of differentiating between neutrino and antineutrino events in a LArTPC, such as exploiting absorption rates on argon or the difference in distributions of and interactions, would be especially useful in quantifying the impact on SBN’s sensitivity to CP violation, and also of interest to LArTPC development in general. It would also be worthwhile for SBN to consider whether any BNB optimization is possible and could be implemented to minimize the wrong-sign flux.
On the other hand, if SBN observes a sterile neutrino-like signal in neutrino running mode, the focus would quickly turn to the subsequent measurement of the new parameters. Here, the impact of SBN antineutrino running may become important, providing access to a potentially distinctly different observable oscillation probability than the neutrino run would allow. However, the challenge is that the CP-violating phase effects become degenerate with those of the remaining oscillation parameters, in particular with insufficient detector energy resolution. In what follows, we explore this possibility, but we focus solely on the (3+2) scenario with a single CP-violating phase , for simplicity; however, these metrics could be applied to the (3+3) scenario with minimal expansion.
vi.2 Sensitivity to
The sensitivity of SBN to the CP-violating phase is studied under the hypothesis that SBN observes a signal consistent with two light sterile neutrinos. To analyse this sensitivity we inject potential signals, for a given set of oscillation parameters, into the fit. These injected parameters are labelled as “true” parameters, and the spectra produced when one assumes these parameters take the place of the “null” spectra in the calculation and covariance matrix construction as described in Sec. IV.4. This quantifies SBN’s ability to confirm a certain set of oscillation parameters given a hypothetical signal. Sensitivity to is due solely to the -appearance channel in which it uniquely appears. Due to this as well as the large number of degrees of freedoms in the (3+2) sterile neutrino scenario, we make here the simplifying assumption that and analyse under the assumption of appearance only, so as to better understand and convey the behaviour in 2D of the main parameter of interest, . Although allowing all parameters to vary uniquely does indeed change the quantitative results, the qualitative phenomenology remains consistent.
In Fig. 16, we show a sample scenario in which we inject a true of , for values of mass splittings from our simulated grid, chosen to be closest to the global best fit, eV and eV. We then vary the strength of the active neutrino-sterile neutrino mixings, and show the range of possible reconstructed values which fit the injected signal within a given confidence level, all the while marginalizing over remaining mixing elements.
For a mass splitting of eV, explaining the LSND anomaly requires mixings of order . We note that resolution in this region varies from no-sensitivity to 40 at the level. Under the standard exposure of 6.6e20 POT in neutrino mode alone (red solid line) one can see there is no sensitivity for even the largest values of mixing parameters consistent with the (3+2) global data, . As such, we concentrate on whether of not it is advantageous to run further in neutrino mode (red dashed line) or a combination of neutrino and antineutrino running mode (purple shaded regions). As can be seen, for unrealistically large mixing, SBN can strongly pick out the true , but, as the mixing drops, the resolution on reduces until one reaches , by which all values of are indistinguishable. We also show the 2 contour for the case in which we run entirely in neutrino-mode for an additional 6.6e20 POT (red dashed lines) and note that for the majority of the parameter space, is worse than a combined neutrino and antineutrino exposure.
The exact sensitivity of depends not only on the magnitude of mixings, but also on the assumed mass splittings. In Fig. 17, we repeat the same analysis for , eV and eV. This point corresponds to the point with largest mixings allowed in our (3+2) global fit at the 99% CL. The green shaded region assumes 6.6e20 POT in both neutrino and antineutrino running and shows sensitivity to for values of values of as low as . Again we see that running in 50:50 neutrino and antineutrino running mode, over pure neutrino mode (red lines), allows one to measure the true value of with much higher resolution.
vi.3 Prospects for CP violation discovery
A related measurement to that of determining the value of given an observed signal, is the significance with which SBN could potentially rule out the CP conserving values of or . Establishing CP violation in the sterile neutrino sector would be a crucially important discovery in itself, as well as of great relevance to future experiments looking to measure the standard three-neutrino phase Gandhi:2015xza . To estimate SBN’s reach with respect to this question, for a given injected signal with and fixed values of and , we form the metric
In each , all active-sterile neutrino mixing elements are varied in order to find the set which minimizes the under consideration, to account for possible degeneracies in the observed spectra. To get as realistic a measurement as possible we relax the simplifying constraint that and allow all parameters to vary, fitting to a combined appearance and and disappearance.
In Fig. 18, we show the results of this test for the same two possible injected signals as in Figs. 16 and 17—the global (3+2) best fit point (red lines) and the “maximum allowed mixing” point (blue lines). For smaller values of mixings, corresponding to the best fit point, little or no spectral shifts can be measured due to varying , and as such even for maximally violating CP angle values, can always be mis-reconstructed to one of the CP conserving value, with shifts in to compensate for the rate. The results for the nominal SBN run plan of 6.6e20 POT in neutrino mode is shown by the solid line and shows no sensitivity to CP violation; similarly, if we assume an additional 6.6e20 POT in neutrino mode, the situation does not change (dotted line) significantly. Although the inclusion of 6.6e20 POT in antineutrino mode (dashed line) does double the potential sensitivity, this remains a sub- effect and thus it is clear that within reasonable exposure SBN is completely insensitive to CP violation if nature does choose sterile neutrinos at this mass splitting.
As the strength of mixing increases, individual variations in the energy spectrum due to driven oscillations becomes harder for degeneracies in mixing to explain, and the significance at which certain CP-violating phases are in disagreement with or increases. This is evident when we look at the CP violation curves assuming the “maximum allowed mixing” sterile neutrino parameters. If we again assume a standard exposure of 6.6e20 POT in neutrino mode (solid blue line) it is evident that SBN has no sensitivity to CP violation, with significance’s of less than even with maximum CP violation. Doubling the POT in neutrino mode (dotted blue line) gives an effectively negligible increase, but it is here that the benefits of additional antineutrino running is most evident. An additional 6.6e20 POT in antineutrino mode allows for significance at maximal mixing, with significance over 68% of parameter space. Although certainly not enough to claim discovery, SBN could provide the first hints of CP violation in the sterile neutrino sector in this specific scenario.
It is worth clarifying that even if nature is kind enough to choose a maximally CP-violating phase, or , thus enabling SBN to potentially observe CP violation at the 2 significance level, it would still require large mixings that are already somewhat in tension with global data , and only certain sterile neutrino mass splittings. For non-maximally violating CP phases the significance at which SBN can make statements diminishes rapidly, and for the majority of the parameter space motivated by the short-baseline anomalies, the potential for SBN to measure a CP-violating phase to the accuracy necessary to rule out CP conservation is very low and insignificant. Conversely, for values of active-sterile neutrino mixings and splittings outside of those considered here, namely ones which help less to explain the short-baseline anomalies but could be interesting models nonetheless, the sensitivity to CP violation could be significantly greater than those presented here.
Vii Summary and Conclusions
We have considered, for the very first time, SBN’s sensitivity to extended light sterile neutrino oscillation scenarios. We find that, in the case of a (3+1) oscillation scenario, SBN is capable of definitively exploring (i.e. with 5 coverage) 85% of the 99% CL parameter space region which is allowed by global short-baseline oscillation data (for 3 ). This is possible after a three year neutrino mode run with all three SBN detectors running concurrently to collect data corresponding to 6.6e20 POT, and with a combined dis/appearance and disappearance search. Furthermore, by performing such a combined search, MicroBooNE alone, during its first three years of running prior to the SBN program commencing, will be able to test 25% of the globally allowed (3+1) oscillation parameter space at 3.
In the case of a (3+2) scenario, in its planned three-year neutrino run, SBN can definitively explore 95% of the 99% CL allowed parameter space (7 ). In this scenario, a single CP-violating phase, , enters in the appearance probability and leads to differences in neutrino and antineutrino appearance probabilities. Dedicated BNB antineutrino mode running for three years (6.6e20 POT), beyond the currently planned SBN neutrino mode running, does not significantly expand SBN’s 5 sensitivity for ruling out this oscillation scenario. Nevertheless, by performing a multi-baseline and multi-channel oscillation search with sign-selected neutrino and antineutrino beams, the SBN experiment will be able to, within six years of operation, overconstrain a significant fraction of parameter space which is currently allowed by global fits to sterile neutrino oscillation.
Furthermore, in the case where a potential signal consistent with multiple light sterile-neutrinos is confirmed, dedicated antineutrino running at SBN proves to be of substantial value in increasing the significance of an observation of any CP violation. For the (3+2) sterile neutrino scenario, an additional 6.6e20 POT in antineutrino running mode could allow SBN to provide the first hints of CP violation in the (extended) lepton sector, provided nature chooses maximal CP-violating phases or , and oscillation parameters consistent with global data at the 99% CL: eV, eV, , and . For SBN to be able to observe CP violation at a greater significance than this would require active-sterile mixing already in significant tension with global data. It is possible that a higher significance could be achieved if the SBN detectors are capable of differentiating between neutrino and antineutrino interactions, either on an event-by-event basis, or through additional statistical treatment of the event samples. Such possibility would be worth exploring through dedicated studies, or through potential beam design upgrades.
In the case of a (3+3) scenario, in its planned three-year neutrino run, SBN can definitively explore 55% of the currently allowed parameter space. We further note that in all scenarios, (3+1), (3+2), and (3+3), utilizing a simultaneous search for oscillations in multiple channels ( appearance, disappearance, and disappearance) has a signficant effect on the sensitivity reach. In particular, combining and channels is generally more powerful than exclusive channel searches, except when disappearance effects are included in the fit. The latter tend to slightly degrade the sensitivity, due to added degeneracies of the effectively opposite