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institutetext: Department of Physics & Astronomy, Purdue University, West Lafayette, IN 47906, USA

Sensitivity of reactor experiments to nonstandard neutrino interactions in beta decay rates

Andrew D. Santos santos30@purdue.edu
Abstract

We frame beta-minus decay rate perturbations in the context of charged-current (CC) nonstandard neutrino interactions (NSI). In particular, we first outline one NSI parameterization for modeling the CC NSI. Then, we demonstrate that the strength of the NSI constrained by beta-minus decay data is comparable to previously reported bounds on general CC NSI at 𝒪(104)\mathcal{O}(10^{-4}) to 𝒪(102)\mathcal{O}(10^{-2}). After discussing possible parameters involved in beta-minus decay NSI, we establish a working framework to probe potentially new physics in nuclear decay rates. Finally, we determine that current nuclear reactor technology could be used for experiments that are sensitive to these NSI parameters. These would include NSI contributions from two types of parameters: (i) the relative NSI effects from the three neutrino flavors and (ii) the change in flux of electron neutrinos through a decaying sample.

Keywords:
Neutrino Physics, Beyond Standard Model

1 Introduction

The Standard Model has been one of the most powerful tools for studying particle physics. Yet, there remain many open questions about phenomena that seemingly cannot be explained within its conventional framework. Such physics is beyond the Standard Model (i.e., BSM physics). For example, the discovery of neutrino oscillations super-kamiokande_collaboration_evidence_1998 arising from mismatching flavor and mass eigenstates highlighted the need for BSM searches—or at least for revising the Standard Model to accommodate for new physics. As research has concentrated on this area, one expanding body of work has included studies of “nonstandard neutrino interactions" (NSI). Operating within this framework has been a popular way of approaching BSM neutrino physics.

Toward the beginning of the 2000’s, an important study of general NSI bounds came with Ref. biggio_general_2009 along with an updated consideration of these authors’ loop bounds with Ref. biggio_loop_2009 . Charged-current (CC) NSI in these studies were constrained below 𝒪(101)\mathcal{O}(10^{-1}) using measurements of the Fermi constant GFG_{F} and of the Cabibbo-Kobayashi-Maskawa (CKM) quark matrix. Another important study for CC NSI a few years later looked at low-energy and collider experiment bounds cirigliano_non-standard_2013 . A summary ohlsson_status_2013 of phenomenological bounds—including a review of NSI—reported direct bounds on matter NSI, direct bounds on production and detection NSI, bounds on NSI in neutrino cross-sections, and bounds on NSI using accelerators. One of the most recent status reports on NSI analyzed bounds from several more sources dev_neutrino_2019 . Indeed, this research has expanded to touch much of neutrino physics and astrophysics.

This NSI framework has been applied to neutrino experiments at all stages of development and operation. Ref. liao_nonstandard_2017 studied NSI at the future Hyper-Kamiokande experiment and Jiangmen Underground Neutrino Observatory (JUNO). NSI at the Deep Underground Neutrino Experiment (DUNE), the Tokai-to-Hyper-Kamiokande (T2HK) experiment, and the Tokai-to-Hyper-Kamiokande-and-Korea (T2HKK) experiment were studied in Ref. liao_nonstandard_2017-1 . Refs. de_gouvea_non-standard_2016 and bakhti_sensitivities_2017 focused solely on NSI at DUNE. Finally, Ref. papoulias_recent_2019 considered the effect of recent and future experiments on both standard and nonstandard physics in nuclei.

The NSI can be manifested in a diverse set of observable quantities in experiments cirigliano_non-standard_2013 ; biggio_general_2009 ; severijns_tests_2006 ; bakhti_sensitivities_2017 ; blennow_non-unitarity_2017 ; ohlsson_status_2013 ; dev_neutrino_2019 ; papoulias_recent_2019 ; liao_nonstandard_2017-1 ; de_gouvea_non-standard_2016 ; liao_nonstandard_2017 ; biggio_loop_2009 . Among these have been particle decay rates cirigliano_non-standard_2013 ; biggio_general_2009 ; severijns_tests_2006 , neutrino mixing parameters bakhti_sensitivities_2017 ; blennow_non-unitarity_2017 ; dev_neutrino_2019 , neutrino CP-violating phases bakhti_sensitivities_2017 ; blennow_non-unitarity_2017 ; dev_neutrino_2019 , scattering cross-sections ohlsson_status_2013 ; dev_neutrino_2019 , and matter-affected oscillation probabilities ohlsson_status_2013 ; dev_neutrino_2019 . This body of research has constrained NSI (both charged-current and neutral-current) to be anywhere on the order of 𝒪(104)\mathcal{O}(10^{-4}) to 𝒪(101)\mathcal{O}(10^{-1}), depending on the data utilized for the analysis and on the NSI model chosen. These constraints tend to be more strict with CC NSI.

Our work here is motivated by another potential observable for NSI. We focus on reported perturbations in nuclear decay rates previously unexplored specifically in the NSI framework. Evidence suggestive of BSM physics is included in several reports, and some of the principal studies are presented in Refs. jenkins_evidence_2009 ; jenkins_additional_2012 ; fischbach_time-dependent_2009 ; sturrock_analysis_2014 ; jenkins_perturbation_2009 ; fischbach_indications_2018 . Table 1 in Ref. nistor_phenomenology_2014 summarizes the majority of the reported decay rate perturbations. These perturbations exhibit periodic fluctuations in the daily, yearly, and 12\sim 12-year ranges. There are additionally reports of “single-event" decay rate perturbations associated with solar storms mohsinally_evidence_2016 and a binary neutron star inspiral fischbach_indications_2018 .

At first glance, one feasible explanation for the decay rate perturbations—especially in their annual periodicity—is the effect of instrumentation sensitivity to the environment. For example, it would make sense that temperature-dependent effects would be manifested in annual perturbations in the detector counting rate. While this could explain some of the decay rate deviations from the expected behavior, Ref. jenkins_analysis_2010 argued that external influences such as temperature could not sufficiently explain the entirety of the fluctuations. However, there are still criticisms of the possibility that something external to instrumentation errors could influence decay rates. For example, Ref. pomme_evidence_2016 argues against the influence of the Sun on decay rates.

Regardless, it is intriguing that most of the decay rate perturbations have been associated with beta-minus decays specifically, as evident in Table 1 of Ref. nistor_phenomenology_2014 . Furthermore, the decay rate perturbations appear at the 𝒪(103)\mathcal{O}(10^{-3}) level for a variety of independent experiments. Finally, these perturbations appear to be correlated with a varying neutrino flux through the decaying sample. One reported connection between periodic fluctuations and a varying neutrino flux was presented in Ref. sturrock_comparative_2016 in which the authors reference both annual neutrino flux variations at the Super-Kamiokande experiment as well as longer (e.g., 12.512.5 year-1) variations suggestive of periodic internal solar processes (e.g., the rotation of the radiative zone).

With evidence suggestive of decay rate perturbations correlated with varying neutrino fluxes, we ask ourselves the following question: What can the NSI framework say about beta-minus decay rate perturbations? In answering this question, we aim to construct a more complete mathematical framework to model the decay perturbations. Our goal is to construct a framework for which there would be experimental sensitivity to the model parameters. To accomplish this, we will extend our analysis of decay perturbations beyond a dependence solely on local neutrino flux to include parameters such as neutrino energy and flavor. Finally, we will explore what NSI constraints can be determined using current and future data from a nuclear reactor experiments.

2 Formalism for CC NSI and Beta Decays

In this study, we are focused on beta-minus decay rate NSI. For this reason, we will concentrate on the area of quark-neutrino dominating charged-current (CC) NSI. To model these NSI, we introduce a relative strength to the quark-neutrino dominating interaction of beta-minus decays. This is achieved with a modification NSIq\mathcal{L}_{\text{NSI}}^{q} to the Standard Model Lagrangian, given by

SM + NSIq=SMq+NSIq.\mathcal{L}_{\text{SM + NSI}}^{q}=\mathcal{L}_{\text{SM}}^{q}+\mathcal{L}_{\text{NSI}}^{q}. (1)

In general, we expect NSIq\mathcal{L}_{\text{NSI}}^{q} to be small compared to SMq\mathcal{L}_{\text{SM}}^{q}. Specifically, we can then express the CC NSI Lagrangian as

NSIq=GF2εαβqqPVqq[q¯γμ(1γ5)q][l¯αγμ(1γ5)νβ]+h.c.\mathcal{L}_{\text{NSI}}^{q}=-\frac{G_{F}}{\sqrt{2}}\varepsilon_{\alpha\beta}^{qq^{\prime}P}V_{qq^{\prime}}[\bar{q}\gamma^{\mu}(1-\gamma_{5})q^{\prime}][\bar{l}_{\alpha}\gamma_{\mu}(1-\gamma_{5})\nu_{\beta}]+\text{h.c.} (2)

In this model, there is a relative CC NSI strength εαβqqP\varepsilon_{\alpha\beta}^{qq^{\prime}P}\in\mathbb{C} to an electroweak process involving quark flavors q,qq,q^{\prime} and lepton generations α,β\alpha,\beta. The two quark flavors of interest in beta-minus decay are up-type (q=uq=u) and down-type (q=dq^{\prime}=d), respectively generated and annihilated. This leaves Vqq=VudV_{qq^{\prime}}=V_{ud} as one element of the Cabibbo-Kobayashi-Maskawa (CKM) quark-mixing matrix. Finally, we are interested in the generation of an electron α=e\alpha=e and the introduction of an electron anti-neutrino β=e\beta=e.

It is important to distinguish between the expression for vector (εαβudR+εαβudL)\varepsilon_{\alpha\beta}^{udR}+\varepsilon_{\alpha\beta}^{udL}) and axial-vector (εαβudRεαβudL\varepsilon_{\alpha\beta}^{udR}-\varepsilon_{\alpha\beta}^{udL}) structures for P=L,RP=L,R. For the beta-minus process here, we will make use of the vector structure

εαβudV=εαβudR+εαβudL.\varepsilon_{\alpha\beta}^{udV}=\varepsilon_{\alpha\beta}^{udR}+\varepsilon_{\alpha\beta}^{udL}. (3)

This all further specifies the new interaction Lagrangian to be

NSIq=GF2εeeudVVud[u¯γμ(1γ5)d][e¯γμ(1γ5)νe]+h.c.\mathcal{L}_{\text{NSI}}^{q}=-\frac{G_{F}}{\sqrt{2}}\varepsilon_{ee}^{udV}V_{ud}[\bar{u}\gamma^{\mu}(1-\gamma_{5})d][\bar{e}\gamma_{\mu}(1-\gamma_{5})\nu_{e}]+\text{h.c.} (4)

From this framework, we know that the beta decay rate Γ\Gamma is related to GFG_{F} and VudV_{ud} through

ΓGF2|Vud|2.\Gamma\propto G_{F}^{2}|V_{ud}|^{2}. (5)

If we were to consider only the coherent contributions of the NSI to Γ\Gamma, we could expect a relationship that is approximately

δΓRe(εeeudV),\delta\Gamma\propto\text{Re}(\varepsilon_{ee}^{udV}), (6)

for the difference δΓ=ΓΓ0\delta\Gamma=\Gamma-\Gamma_{0} of the perturbed rate Γ\Gamma and nominal rate Γ0\Gamma_{0}. However, we wish to be as general as possible. For this reason, we will additionally include the incoherent sum of each NSI strength |εeαudV|2|\varepsilon_{e\alpha}^{udV}|^{2} for each flavor α\alpha to obtain

δΓ2Re(εeeudV)+α|εeαudV|2.\delta\Gamma\propto 2\text{Re}(\varepsilon_{ee}^{udV})+\sum_{\alpha}|\varepsilon_{e\alpha}^{udV}|^{2}. (7)

This is the parameterization used in Ref. biggio_general_2009 as they consider NSI bounds using CKM unitarity and experimental determinations of GFG_{F}.

3 NSI Constraints from Beta Decay Rates

We will take two approaches to constrain the NSI. First, we will take into account only the uncertainty δΓ\delta\Gamma in beta-minus decay rates. This is accomplished with the following form:

Γobs=Γ(1+2Re(εeeudV)+α|εeαudV|2).\Gamma_{\text{obs}}=\Gamma\left(1+2\text{Re}(\varepsilon_{ee}^{udV})+\sum_{\alpha}|\varepsilon_{e\alpha}^{udV}|^{2}\right). (8)

Here, we can divide the observed decay rate Γobs\Gamma_{\text{obs}} by the predicted rate Γ\Gamma. This measured quantity will have a relative uncertainty δΓ/Γ\delta\Gamma/\Gamma that we will assign based on decay rate perturbation data. Using data from Ref. jenkins_evidence_2009 , we determine that an appropriate relative uncertainty is δΓ/Γ=103\delta\Gamma/\Gamma=10^{-3}.

To constrain εeeudV\varepsilon_{ee}^{udV} and the other εeαudV\varepsilon_{e\alpha}^{udV}, it is standard practice to only allow one nonzero ε\varepsilon at a time in the analysis. This is done to avoid cancellations from the sum of negative and positive values that can come from Re(εeeudV)\text{Re}(\varepsilon_{ee}^{udV}) and the |εeαudV|2|\varepsilon_{e\alpha}^{udV}|^{2}. Using a Markov chain Monte Carlo (MCMC) simulation gelman_bayesian_2014 , we apply the Metropolis-Hastings algorithm for skewed jumping rules to constrain the |εeαudV||\varepsilon_{e\alpha}^{udV}| to be non-negative. Then, the following bounds (95% confidence interval) can be placed:

|Re(εeeudV)|8×104,\left|\text{Re}(\varepsilon_{ee}^{udV})\right|\leq 8\times 10^{-4}, (9)
|εeαudV|0.03.\left|\varepsilon_{e\alpha}^{udV}\right|\leq 0.03. (10)

In the second approach, we will still consider the uncertainty in beta-minus decay rates as from above, but we will also include uncertainties in the Fermi constant and the CKM matrix element |Vud||V_{ud}|. This is done to determine how sensitive the NSI constraints are to all possible contributions to their strength. We then write down

GF2|Vud|2=GF~2|Vud|~2(1+2Re(εeeudV)+α|εeαudV|2).G_{F}^{2}|V_{ud}|^{2}=\tilde{G_{F}}^{2}\tilde{|V_{ud}|}^{2}\left(1+2\text{Re}(\varepsilon_{ee}^{udV})+\sum_{\alpha}|\varepsilon_{e\alpha}^{udV}|^{2}\right). (11)

Here, we will follow standard error propagation rules for the following quantities: GF~=GF±δGF\tilde{G_{F}}=G_{F}\pm\delta G_{F}, |Vud|~=|Vud|±δ|Vud|\tilde{|V_{ud}|}=|V_{ud}|\pm\delta|V_{ud}|, and GF2|Vud|2=GF2|Vud|2(1±δΓ/ΓG_{F}^{2}|V_{ud}|^{2}=G_{F}^{2}|V_{ud}|^{2}(1\pm\delta\Gamma/\Gamma). Once more, we will only allow one nonzero ε\varepsilon at a time in the analysis. We still have δΓ/Γ=103\delta\Gamma/\Gamma=10^{-3} from Ref. jenkins_evidence_2009 . Additionally, we consider the best-fit value for |Vud|=0.97417±0.00021|V_{ud}|=0.97417\pm 0.00021 patrignani_et_al_particle_data_group_review_2016 and the best-fit value for GF=(1.166378±0.0006)×105 GeV2G_{F}=(1.166378\pm 0.0006)\times 10^{-5}\text{ GeV}^{-2} patrignani_et_al_particle_data_group_review_2016 . As before, we utilize MCMC to determine the following bounds (95% confidence):

|Re(εeeudV)|0.001,\left|\text{Re}(\varepsilon_{ee}^{udV})\right|\leq 0.001, (12)
|εeαudV|0.04.\left|\varepsilon_{e\alpha}^{udV}\right|\leq 0.04. (13)

These two methods produce comparable bounds, and they are similar to those of 𝒪(104)\mathcal{O}(10^{-4}) to 𝒪(102)\mathcal{O}(10^{-2}) for a generic quark-neutrino dominating CC NSI constrained both by the Fermi constant and by assuming CKM unitarity as in Ref. biggio_general_2009 .

4 Model for Beta-Minus Decay NSI

Next, we aim to further parameterize the CC NSI. Previous studies have explored a perturbed decay rate of the form Γ=Γ0(1+Δ)\Gamma=\Gamma_{0}(1+\Delta) in beta decays (e.g., in Section 4 in Ref. barnes_upper_2019 ). This modified decay rate has been generally defined as a function of neutrino flux through a sample, i.e., Δ=Δ(Fν)\Delta=\Delta(F_{\nu}). However—as we alluded to before—there has not been in-depth consideration of dependence on other parameters. Namely, this includes neutrino flavor, type (antimatter or matter), energy, and source.

4.1 New Parameters for Beta-Minus Decay NSI

According to evidence suggestive of time-varying beta-minus decay rates correlated with a varying local neutrino flux (e.g., Refs. jenkins_evidence_2009 ; jenkins_additional_2012 ; fischbach_time-dependent_2009 ; sturrock_analysis_2014 ; jenkins_perturbation_2009 ; fischbach_indications_2018 ), we draw attention to the following factors for neutrinos involved in the CC NSI :

flux through decaying sample—comparable to solar neutrino flux,

energy—relatively low 0.1\sim 0.111 MeV,

type—neutrinos as opposed to anti-neutrinos,

source—created within a volume of radius much larger than the oscillation length

(Sun, cataclysmic events),

decay process(es) affected—beta-minus decay processes in isotopes summarized

in Table 1 of Ref. nistor_phenomenology_2014 .

Furthermore, there is insufficient evidence for both time-varying decay rates correlated with varying reactor anti-neutrino flux barnes_upper_2019 and for a “self-induced decay" (SID) effect in Au-198 lindstrom_absence_2011 ; lindstrom_study_2010 . Briefly, the SID effect would describe perturbations in a radioactive sample’s decay rate induced (or suppressed) by its own neutrino flux. These reports solidify constraints on neutrino energy, type, and source. Therefore, several sources of data converge upon a decently well-defined, consistent set of factors. Acknowledging these factors, we can move forward to a more specific mathematical framework for the CC NSI—one that includes more relevant parameters.

4.2 Further Parameterization of Beta-Minus Decay NSI

We will take into account neutrino flux as before. Additionally, we will include separate neutrino flavor contributions as well as neutrino energy and type (neutrino vs. anti-neutrino). To begin, we consider an electron neutrino’s contribution εe\varepsilon_{e} to the NSI effect εeeudV\varepsilon_{ee}^{udV} we constrained in Section 3. We will define fe=fe(Ee,Fe)f_{e}=f_{e}(E_{e},F_{e})\in\mathbb{R} as the unknown function that relates the energy EeE_{e} and flux FeF_{e} to the strength εe\varepsilon_{e}\in\mathbb{C} of the NSI to obtain

εe(Ee,Fe)fe(Ee,Fe).\varepsilon_{e}(E_{e},F_{e})\propto f_{e}(E_{e},F_{e}). (14)

To include other flavor contributions to the NSI, we will introduce a weighted sum. This takes us from only the electron neutrino contribution εe\varepsilon_{e} to the full NSI effect ε\varepsilon from all flavors:

εeε(Ee,Eμ,Eτ,Fe,Fμ,Fτ)αβαfα(Eα,Fα)\varepsilon_{e}\rightarrow\varepsilon(E_{e},E_{\mu},E_{\tau},F_{e},F_{\mu},F_{\tau})\propto\sum_{\alpha}\beta_{\alpha}f_{\alpha}(E_{\alpha},F_{\alpha}) (15)

with weights βα\beta_{\alpha}\in\mathbb{C}. Often, the EαE_{\alpha} are all the same value. For convenience, then, we will collapse the notation to E=Ee=Eμ=EτE=E_{e}=E_{\mu}=E_{\tau}.

Next, the proportionality factor we will choose is εeeudV\varepsilon_{ee}^{udV} (i.e., what we constrained in Section 3). This gives us

ε=εeeudVαβαfα(E,Fα).\varepsilon=\varepsilon_{ee}^{udV}\sum_{\alpha}\beta_{\alpha}f_{\alpha}(E,F_{\alpha}). (16)

We acknowledge that we could have chosen different combinations of βα\beta_{\alpha} and fαf_{\alpha} defined to be in \mathbb{R} or \mathbb{C}. However, the parameterization we have chosen should not alter our analysis significantly.

We would like to normalize our βα\beta_{\alpha}, fαf_{\alpha} in some way. For the fαf_{\alpha}, we will choose fα=1f_{\alpha}=1 around the maximum solar flux FsolarF_{\text{solar}} for neutrinos of flavor α\alpha on Earth and for EE comparable to the energy EsolarE_{\text{solar}} of solar neutrinos. In this scenario,

ε(Esolar,Fsolar)=εeeudVαβα.\varepsilon(E_{\text{solar}},F_{\text{solar}})=\varepsilon_{ee}^{udV}\sum_{\alpha}\beta_{\alpha}. (17)

Finally, we normalize the βα\beta_{\alpha}. In Section 3, we used data with E=EsolarE=E_{\text{solar}}, FFsolarF\sim F_{\text{solar}} to arrive at constraints for εeeudV\varepsilon_{ee}^{udV}. This means that we had ε(Esolar,Fsolar)=εeeudV\varepsilon(E_{\text{solar}},F_{\text{solar}})=\varepsilon_{ee}^{udV}. This requires αβα=1\sum_{\alpha}\beta_{\alpha}=1 so that

Re[ε(Esolar,Fsolar)]=Re(εeeudV)\text{Re}\left[\varepsilon(E_{\text{solar}},F_{\text{solar}})\right]=\text{Re}(\varepsilon_{ee}^{udV}) (18)

and

|ε(Esolar,Fsolar)|=|εeeudV|.|\varepsilon(E_{\text{solar}},F_{\text{solar}})|=|\varepsilon_{ee}^{udV}|. (19)

For both neutrino and anti-neutrino effects, we would have the generalized beta-minus decay NSI contributions

ε=εeeudVα(βαfα(E,Fα)+γαgα(E¯,F¯α)),\varepsilon=\varepsilon_{ee}^{udV}\sum_{\alpha}\big{(}\beta_{\alpha}f_{\alpha}(E,F_{\alpha})+\gamma_{\alpha}g_{\alpha}(\bar{E},\bar{F}_{\alpha})\big{)}, (20)

where the γα,gα,E¯,F¯α\gamma_{\alpha},g_{\alpha},\bar{E},\bar{F}_{\alpha} are the corresponding anti-neutrino parameters and properties relevant to the CC NSI. From existing experimental data, the evidence suggests that the γαgαβαfα\gamma_{\alpha}g_{\alpha}\ll\beta_{\alpha}f_{\alpha} (e.g., the strictly constrained signal in Ref. barnes_upper_2019 with reactor anti-neutrinos). Therefore—in what follows—we will only analyze the neutrino contributions to the NSI and not those of anti-neutrinos. This means that our model takes the form of Eq. (16).

4.3 Discussion of Model Choice for Beta-Minus Decay Rate NSI

At this point, a potential problem might be apparent. Indeed, we could have generated a separate parameterization for the other εeαudV\varepsilon_{e\alpha}^{udV} since we only walked through this process with εeeudV\varepsilon_{ee}^{udV}. This could have been accomplished by adding 3 more β\beta parameters and ff functions for εeμudV\varepsilon_{e\mu}^{udV} and another 3 for εeτudV\varepsilon_{e\tau}^{udV}. If we wanted to pursue the most general parameterization, this would be one route to take. However, we will continue under the assumption that only εeeudV\varepsilon_{ee}^{udV} contributes to the NSI effect with our parameterization.

With this approach, we will allow all incoherent contributions to Γ\Gamma from the |εeαudV|2|\varepsilon_{e\alpha}^{udV}|^{2} to exist. Then, the one new stipulation is that εeeudV\varepsilon_{ee}^{udV} is a function of the new parameters assigned in this section. If we were incorrect to give the εeeudV\varepsilon_{ee}^{udV} this structure, data analysis would reveal that, for example, the fαf_{\alpha} do not change with varied EE and the FαF_{\alpha}. This would imply that the NSI would not change with EE and the FαF_{\alpha}. In the next section, we will explore a concrete methodology for an experiment that could provide the data needed to probe the new NSI parameter space.

5 Sensitivity from Reactor Neutrino Experiments

One way in which we could expect to constrain our model parameters would be with reactor experiments at a short range. In this scenario, the electron neutrino survival probability PeeP_{ee} is arbitrarily close to 1, i.e., PeμPeτ0P_{e\mu}\approx P_{e\tau}\approx 0 such that Fμ,FτFeF_{\mu},F_{\tau}\ll F_{e}. This would lead to a measurement of εεe\varepsilon\rightarrow\varepsilon_{e} in which the effects of νμ\nu_{\mu} and ντ\nu_{\tau} are negligible.

To illustrate this, we will assume that the νe\nu_{e} energy and flux contribute independently to fef_{e} around the solar neutrino flux and energy. This will allow us to break down the function fef_{e} into manageable pieces for the energy contribution we will call XeX_{e} and the flux contribution we will call YeY_{e}:

fe(E,Fe)Xe(E)Ye(Fe)Xe,0Ye(Fe) for EEsolar,f_{e}(E,F_{e})\rightarrow X_{e}(E)Y_{e}(F_{e})\approx X_{e,0}Y_{e}(F_{e})\text{ for }E\sim E_{\text{solar}}, (21)

where we have the nominal energy contribution Xe,0X_{e,0}. This is convenient because we required in Section 4 that fe=1f_{e}=1 when E=EsolarE=E_{\text{solar}}, FFsolarF\sim F_{\text{solar}}. In other words, we should have Xe,0=1X_{e,0}=1 from this normalization. With all of this, we can then rewrite Eq. (16) as

εεe=εeeudVβeYe.\varepsilon\rightarrow\varepsilon_{e}=\varepsilon_{ee}^{udV}\beta_{e}Y_{e}. (22)

With this expression, it will be possible to explicitly see the effects of βe\beta_{e} and YeY_{e} on the beta decay rate within Eq. (7):

δΓ2YeRe(εeeudVβe)+Ye2|εeeudVβe|2+|εeμudV|2+|εeτudV|2.\delta\Gamma\propto 2Y_{e}\text{Re}(\varepsilon_{ee}^{udV}\beta_{e})+Y_{e}^{2}|\varepsilon_{ee}^{udV}\beta_{e}|^{2}+|\varepsilon_{e\mu}^{udV}|^{2}+|\varepsilon_{e\tau}^{udV}|^{2}. (23)

Electron neutrino fluxes at the centers of nuclear reactors—for the sake of neutrino physics experiments—can be at least Fe(L=0)=1014F_{e}(L=0)=10^{14} cm-2 s-1 (e.g., see Ref. texono_collaboration_production_2005 ). For EEsolarE\approx E_{\text{solar}}, the νe\nu_{e} survival probability is rather large at short distances, since oscillations are generally relevant only for L/E>100L/E>100 m MeV-1. The required distance to reproduce the solar neutrino flux would be on the order of L010L_{0}\sim 10 m, assuming spherically emitted neutrinos, i.e., Fe(L)=Fe(L=0)/4πL2F_{e}(L)=F_{e}(L=0)/4\pi L^{2}. For a practical example, the experiment in Ref. barnes_upper_2019 intercepted electron anti-neutrinos around 55 m from the nuclear reactor at which the anti-neutrino flux was 50\sim 50 times the solar neutrino flux.

Since we already know that Xe,0=1X_{e,0}=1 from the normalization in Section 4, we also know that Ye=1Y_{e}=1 when FeF_{e} is at the solar neutrino flux. For small perturbations around YeY_{e}, then, we could expect a first-order effect:

Ye1+ye(FeFe,0),Y_{e}\approx 1+y_{e}(F_{e}-F_{e,0}), (24)

which leaves us with

εe=εeeudVβe(1+ye(FeFe,0))=εeeudVβe(1+yeΔFe).\varepsilon_{e}=\varepsilon_{ee}^{udV}\beta_{e}\left(1+y_{e}(F_{e}-F_{e,0})\right)=\varepsilon_{ee}^{udV}\beta_{e}(1+y_{e}\Delta F_{e}). (25)

5.1 Constraining Electron Neutrino CC NSI Contributions

The experiment will need to reproduce the variation in annual neutrino flux to probe BSM physics from studies such as Ref. jenkins_evidence_2009 . This would be achieved by varying the detector distance up to 6%6\%. This percentage comes from the comparison of decay rate perturbations to the Earth-Sun distance jenkins_evidence_2009 . This corresponds to a change in detector position on the order of δL1\delta L\sim 1 m, and the detector displacement can be performed as in Ref. barnes_upper_2019 . At this distance, we can constrain βe\beta_{e} and yey_{e} with a ratio of decay rates:

Γ(ΔFe=0)Γ(ΔFe)=(1+Re(εeeudVβe)+|εeeudVβe|2+|εeμudV|2+|εeτudV|2)×(1+YeRe(εeeudVβe)+Ye2|εeeudVβe|2+|εeμudV|2+|εeτudV|2)1.\frac{\Gamma(\Delta F_{e}=0)}{\Gamma(\Delta F_{e})}=\Big{(}1+\text{Re}(\varepsilon_{ee}^{udV}\beta_{e})+|\varepsilon_{ee}^{udV}\beta_{e}|^{2}+|\varepsilon_{e\mu}^{udV}|^{2}+|\varepsilon_{e\tau}^{udV}|^{2}\Big{)}\\ \times\Big{(}1+Y_{e}\text{Re}(\varepsilon_{ee}^{udV}\beta_{e})+Y_{e}^{2}|\varepsilon_{ee}^{udV}\beta_{e}|^{2}+|\varepsilon_{e\mu}^{udV}|^{2}+|\varepsilon_{e\tau}^{udV}|^{2}\Big{)}^{-1}. (26)

Once more, we take only one nonzero ε\varepsilon at a time for the analysis. A convenient route to take with the constraints we already have on the |εeαudV||\varepsilon_{e\alpha}^{udV}| is to consider nonzero |εeeudVβe||\varepsilon_{ee}^{udV}\beta_{e}|:

Γ(ΔFe=0)Γ(ΔFe)1+|εeeudVβe|21+Ye2|εeeudVβe|2=1+|εeeudV|2|βe|21+(1+yeΔFe)2|εeeudV|2|βe|2.\frac{\Gamma(\Delta F_{e}=0)}{\Gamma(\Delta F_{e})}\rightarrow\frac{1+|\varepsilon_{ee}^{udV}\beta_{e}|^{2}}{1+Y_{e}^{2}|\varepsilon_{ee}^{udV}\beta_{e}|^{2}}=\frac{1+|\varepsilon_{ee}^{udV}|^{2}|\beta_{e}|^{2}}{1+(1+y_{e}\Delta F_{e})^{2}|\varepsilon_{ee}^{udV}|^{2}|\beta_{e}|^{2}}. (27)

As we mentioned in Section 4, finding no change to the fαf_{\alpha} as a function of EE and FαF_{\alpha} would be evidence against parameterizing εeeudV\varepsilon_{ee}^{udV} in the way we have done. Here, then, we need to look specifically at fef_{e}, which changes with the parameter yey_{e}. The absence of evidence suggestive of a nonzero yey_{e} parameter would disfavor our εeeudV\varepsilon_{ee}^{udV} parameterization.

We will take two approaches to constrain βe\beta_{e} and yey_{e}. The first is to determine what sensitivity current experimental technology would have if decay rate data were constant with 𝒪(103)\mathcal{O}(10^{-3}) statistical fluctuations. This is similar to assuming that the time-varying decay rate data measured in Refs. jenkins_evidence_2009 ; jenkins_additional_2012 ; fischbach_time-dependent_2009 ; sturrock_analysis_2014 ; jenkins_perturbation_2009 ; fischbach_indications_2018 are attributable entirely to external factors like temperature (however—as we pointed out—it was demonstrated that these would not likely be the only cause of the time-varying fluctuations jenkins_analysis_2010 ).

Running an MCMC simulation for Γ(ΔFe=0)/Γ(ΔF0)=1.000±0.001\Gamma(\Delta F_{e}=0)/\Gamma(\Delta F_{0})=1.000\pm 0.001, we find

|βe|0.4 (95%),|\beta_{e}|\leq 0.4\text{ (95\%)}, (28)

and no significant sensitivity to yey_{e}. These bounds mean that current experimental technology involving only νe\nu_{e} could favor a lower mixing constant for νe\nu_{e} NSI contributions while not favoring a particular value for yey_{e}.

The second approach is to determine what sensitivity current experiments would have if the fluctuations in Refs. jenkins_evidence_2009 ; jenkins_additional_2012 ; fischbach_time-dependent_2009 ; sturrock_analysis_2014 ; jenkins_perturbation_2009 ; fischbach_indications_2018 were not at all attributable to instrumental or environmental effects. In this scenario, another MCMC simulation shows the following for Γ(ΔFe=0)/Γ(ΔF0)=1.004±0.001\Gamma(\Delta F_{e}=0)/\Gamma(\Delta F_{0})=1.004\pm 0.001:

|βe|[0.5,1.6] (95%),|\beta_{e}|\in[0.5,1.6]\text{ (95\%)}, (29)
ye[0.97Fe,0ΔFe,0.07Fe,0ΔFe] (95%),y_{e}\in\left[-0.97\frac{F_{e,0}}{\Delta F_{e}},-0.07\frac{F_{e,0}}{\Delta F_{e}}\right]\text{ (95\%)}, (30)

for ΔFe/Fe,0=0.06\Delta F_{e}/F_{e,0}=0.06. These bounds would favor heavy NSI contributions from νe\nu_{e} as well as specific, nonzero yey_{e} values if the data from Ref. jenkins_evidence_2009 were beta decay rate effects from only νe\nu_{e}. For βe\beta_{e} and yey_{e}, then, we find that reactor neutrino experiments could be sensitive to our NSI parameters.

5.2 Constraining Muon and Tau Neutrino Contributions

We can additionally constrain βμ\beta_{\mu}, βτ\beta_{\tau} using the requirement αβα=1\sum_{\alpha}\beta_{\alpha}=1 from before:

|βe|=|1βμβτ|=(1Re(βμ+βτ))2+Im(βμ+βτ)2.|\beta_{e}|=|1-\beta_{\mu}-\beta_{\tau}|\\ =\sqrt{\big{(}1-\text{Re}(\beta_{\mu}+\beta_{\tau})\big{)}^{2}+\text{Im}(\beta_{\mu}+\beta_{\tau})^{2}}. (31)

With the estimated posterior for |βe||\beta_{e}|, we will allow for free parameters Re(βμ+βτ)\text{Re}(\beta_{\mu}+\beta_{\tau}) and Im(βμ+βτ)\text{Im}(\beta_{\mu}+\beta_{\tau}). The following constraints are determined using an MCMC simulation with the bounds from Eq. (28) in which Γ(ΔFe=0)/Γ(ΔF0)=1.000±0.001\Gamma(\Delta F_{e}=0)/\Gamma(\Delta F_{0})=1.000\pm 0.001:

Re(βμ+βτ)[0.6,1.5] (95%),\text{Re}(\beta_{\mu}+\beta_{\tau})\in[0.6,1.5]\text{ (95\%)}, (32)
Im(βμ+βτ)[0.4,0.4] (95%).\text{Im}(\beta_{\mu}+\beta_{\tau})\in[-0.4,0.4]\text{ (95\%)}. (33)

Next—for the bounds from Eq. (29) in which Γ(ΔFe=0)/Γ(ΔF0)=1.004±0.001\Gamma(\Delta F_{e}=0)/\Gamma(\Delta F_{0})=1.004\pm 0.001—we use MCMC once more to obtain the following constraint:

(Re(βμ+βτ)1.0)2+Im(βμ+βτ)2[0.25,1.0] (95%).\big{(}\text{Re}(\beta_{\mu}+\beta_{\tau})-1.0\big{)}^{2}+\text{Im}(\beta_{\mu}+\beta_{\tau})^{2}\in[0.25,1.0]\text{ (95\%)}. (34)

With the statistical approaches we introduced in this section, we have arrived at constraints for the βα\beta_{\alpha} and for yey_{e}. Therefore, the model we have proposed could be reasonably constrained by current or near-future nuclear reactor technology.

6 Summary and Conclusions

In summary, we used the CC NSI framework to model time-varying beta decay rates by assuming a neutrino-quark dominating effect. First, we related the coherent and incoherent contributions of the NSI εeαudV\varepsilon_{e\alpha}^{udV} to the beta decay rate with Γobs1+2Re(εeeudV)+α|εeαudV|2\Gamma_{\text{obs}}\propto 1+2\text{Re}(\varepsilon_{ee}^{udV})+\sum_{\alpha}|\varepsilon_{e\alpha}^{udV}|^{2}. Using data on beta-minus decays, the Fermi coupling constant GFG_{F}, and the CKM matrix element VudV_{ud}, we determined that the ε\varepsilon were constrained at 𝒪(104)\mathcal{O}(10^{-4}) to 𝒪(102)\mathcal{O}(10^{-2}), which is consistent with bounds placed in existing literature. Next, we constructed a model based on potential parameters governing the new CC NSI. This model considered the NSI strength ε\varepsilon to be a function of neutrino flavor, energy, and local flux. We allowed the energy and flux of each flavor α\alpha to contribute nominally to the NSI with strength fαf_{\alpha}, and then these nominal strengths were each weighted by a factor βα\beta_{\alpha}\in\mathbb{C} to obtain ε=εeeudVαβαfα\varepsilon=\varepsilon_{ee}^{udV}\sum_{\alpha}\beta_{\alpha}f_{\alpha}. We determined that current technology for nuclear reactors could produce neutrino experiments sensitive to the βα\beta_{\alpha} and to yey_{e}. These experiments would study electron neutrino production at short distances such that other flavor contributions would be negligible to the NSI.

From this work, we found that it is possible to parameterize CC NSI in order to model beta-minus decay rate perturbations as functions of several neutrino properties. These parameters could be constrained by existing data and potentially by new experiments using current reactor technology. However, there remain several open questions. For example, it would be instructive for future studies to consider whether the origin or oscillatory nature of neutrinos had any additional effect on the NSI framework presented here. Since solar neutrino oscillations are much different from terrestrial oscillations produced in experiments, the solar neutrino flux could engage in different NSI that we did not take into account. Regardless, the feasibility for NSI frameworks to complete our understanding of neutrino physics is a promising area for further research.

Acknowledgements.
We would like to thank Ephraim Fischbach and Dennis Krause for insightful discussions about neutrino physics and about research concerning beta decay rate perturbations.

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