Sensitivity of reactor experiments to nonstandard neutrino interactions in beta decay rates
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 to . 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 Model1 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 using measurements of the Fermi constant 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 to , 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 -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 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., 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 to the Standard Model Lagrangian, given by
(1) |
In general, we expect to be small compared to . Specifically, we can then express the CC NSI Lagrangian as
(2) |
In this model, there is a relative CC NSI strength to an electroweak process involving quark flavors and lepton generations . The two quark flavors of interest in beta-minus decay are up-type () and down-type (), respectively generated and annihilated. This leaves as one element of the Cabibbo-Kobayashi-Maskawa (CKM) quark-mixing matrix. Finally, we are interested in the generation of an electron and the introduction of an electron anti-neutrino .
It is important to distinguish between the expression for vector ( and axial-vector () structures for . For the beta-minus process here, we will make use of the vector structure
(3) |
This all further specifies the new interaction Lagrangian to be
(4) |
From this framework, we know that the beta decay rate is related to and through
(5) |
If we were to consider only the coherent contributions of the NSI to , we could expect a relationship that is approximately
(6) |
for the difference of the perturbed rate and nominal rate . However, we wish to be as general as possible. For this reason, we will additionally include the incoherent sum of each NSI strength for each flavor to obtain
(7) |
This is the parameterization used in Ref. biggio_general_2009 as they consider NSI bounds using CKM unitarity and experimental determinations of .
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 in beta-minus decay rates. This is accomplished with the following form:
(8) |
Here, we can divide the observed decay rate by the predicted rate . This measured quantity will have a relative uncertainty 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 .
To constrain and the other , it is standard practice to only allow one nonzero at a time in the analysis. This is done to avoid cancellations from the sum of negative and positive values that can come from and the . Using a Markov chain Monte Carlo (MCMC) simulation gelman_bayesian_2014 , we apply the Metropolis-Hastings algorithm for skewed jumping rules to constrain the to be non-negative. Then, the following bounds (95% confidence interval) can be placed:
(9) |
(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 . This is done to determine how sensitive the NSI constraints are to all possible contributions to their strength. We then write down
(11) |
Here, we will follow standard error propagation rules for the following quantities: , , and ). Once more, we will only allow one nonzero at a time in the analysis. We still have from Ref. jenkins_evidence_2009 . Additionally, we consider the best-fit value for patrignani_et_al_particle_data_group_review_2016 and the best-fit value for patrignani_et_al_particle_data_group_review_2016 . As before, we utilize MCMC to determine the following bounds (95% confidence):
(12) |
(13) |
These two methods produce comparable bounds, and they are similar to those of to 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 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., . 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 – 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 to the NSI effect we constrained in Section 3. We will define as the unknown function that relates the energy and flux to the strength of the NSI to obtain
(14) |
To include other flavor contributions to the NSI, we will introduce a weighted sum. This takes us from only the electron neutrino contribution to the full NSI effect from all flavors:
(15) |
with weights . Often, the are all the same value. For convenience, then, we will collapse the notation to .
Next, the proportionality factor we will choose is (i.e., what we constrained in Section 3). This gives us
(16) |
We acknowledge that we could have chosen different combinations of and defined to be in or . However, the parameterization we have chosen should not alter our analysis significantly.
We would like to normalize our , in some way. For the , we will choose around the maximum solar flux for neutrinos of flavor on Earth and for comparable to the energy of solar neutrinos. In this scenario,
(17) |
Finally, we normalize the . In Section 3, we used data with , to arrive at constraints for . This means that we had . This requires so that
(18) |
and
(19) |
For both neutrino and anti-neutrino effects, we would have the generalized beta-minus decay NSI contributions
(20) |
where the are the corresponding anti-neutrino parameters and properties relevant to the CC NSI. From existing experimental data, the evidence suggests that the (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 since we only walked through this process with . This could have been accomplished by adding 3 more parameters and functions for and another 3 for . 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 contributes to the NSI effect with our parameterization.
With this approach, we will allow all incoherent contributions to from the to exist. Then, the one new stipulation is that is a function of the new parameters assigned in this section. If we were incorrect to give the this structure, data analysis would reveal that, for example, the do not change with varied and the . This would imply that the NSI would not change with and the . 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 is arbitrarily close to 1, i.e., such that . This would lead to a measurement of in which the effects of and are negligible.
To illustrate this, we will assume that the energy and flux contribute independently to around the solar neutrino flux and energy. This will allow us to break down the function into manageable pieces for the energy contribution we will call and the flux contribution we will call :
(21) |
where we have the nominal energy contribution . This is convenient because we required in Section 4 that when , . In other words, we should have from this normalization. With all of this, we can then rewrite Eq. (16) as
(22) |
With this expression, it will be possible to explicitly see the effects of and on the beta decay rate within Eq. (7):
(23) |
Electron neutrino fluxes at the centers of nuclear reactors—for the sake of neutrino physics experiments—can be at least cm-2 s-1 (e.g., see Ref. texono_collaboration_production_2005 ). For , the survival probability is rather large at short distances, since oscillations are generally relevant only for m MeV-1. The required distance to reproduce the solar neutrino flux would be on the order of m, assuming spherically emitted neutrinos, i.e., . For a practical example, the experiment in Ref. barnes_upper_2019 intercepted electron anti-neutrinos around m from the nuclear reactor at which the anti-neutrino flux was times the solar neutrino flux.
Since we already know that from the normalization in Section 4, we also know that when is at the solar neutrino flux. For small perturbations around , then, we could expect a first-order effect:
(24) |
which leaves us with
(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 . 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 m, and the detector displacement can be performed as in Ref. barnes_upper_2019 . At this distance, we can constrain and with a ratio of decay rates:
(26) |
Once more, we take only one nonzero at a time for the analysis. A convenient route to take with the constraints we already have on the is to consider nonzero :
(27) |
As we mentioned in Section 4, finding no change to the as a function of and would be evidence against parameterizing in the way we have done. Here, then, we need to look specifically at , which changes with the parameter . The absence of evidence suggestive of a nonzero parameter would disfavor our parameterization.
We will take two approaches to constrain and . The first is to determine what sensitivity current experimental technology would have if decay rate data were constant with 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 , we find
(28) |
and no significant sensitivity to . These bounds mean that current experimental technology involving only could favor a lower mixing constant for NSI contributions while not favoring a particular value for .
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 :
(29) |
(30) |
for . These bounds would favor heavy NSI contributions from as well as specific, nonzero values if the data from Ref. jenkins_evidence_2009 were beta decay rate effects from only . For and , 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 , using the requirement from before:
(31) |
With the estimated posterior for , we will allow for free parameters and . The following constraints are determined using an MCMC simulation with the bounds from Eq. (28) in which :
(32) |
(33) |
Next—for the bounds from Eq. (29) in which —we use MCMC once more to obtain the following constraint:
(34) |
With the statistical approaches we introduced in this section, we have arrived at constraints for the and for . 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 to the beta decay rate with . Using data on beta-minus decays, the Fermi coupling constant , and the CKM matrix element , we determined that the were constrained at to , 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 to be a function of neutrino flavor, energy, and local flux. We allowed the energy and flux of each flavor to contribute nominally to the NSI with strength , and then these nominal strengths were each weighted by a factor to obtain . We determined that current technology for nuclear reactors could produce neutrino experiments sensitive to the and to . 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.References
- (1) Y. Fukuda et al. (Super-Kamiokanda Collaboration), Evidence for oscillation of atmospheric neutrinos, Phys. Rev. Lett. 81 (1998) 1562.
- (2) C. Biggio, M. Blennow, and E. Fernández-Martínez, General bounds on non-standard neutrino interactions, JHEP 08 (2009) 090 [arXiv:0907.0097].
- (3) C. Biggio, M. Blennow, and E. Fernández-Martínez, Loop bounds on non-standard neutrino interactions, JHEP 03 (2009) 139 [arXiv:0902.0607].
- (4) V. Cirigliano, M. González-Alonso, and M. L. Graesser, Non-standard charged current interactions: beta decays versus the LHC, JHEP 02 (2013) 46 [arXiv:1210.4553].
- (5) T. Ohlsson, Status of non-standard neutrino interactions, Rep. Prog. Phys. 76 (2013) 044201 [arXiv:1209.2710].
- (6) P. S. B. Dev et al., Neutrino non-standard interactions: A status report, SciPost Phys. Proc. 2 (2019) 001 [arXiv:1907.00991].
- (7) J. Liao, D. Marfatia, and K. Whisnant, Nonstandard interactions in solar neutrino oscillations with Hyper-Kamiokande and JUNO, Phys. Lett. B 771 (2017) 247 [arXiv:1704.04711].
- (8) J. Liao, D. Marfatia, and K. Whisnant, Nonstandard neutrino interactions at DUNE, T2HK and T2HKK, JHEP 2017 (2017) 71 [arXiv:1612.01443].
- (9) A. de Gouvêa and K. J. Kelly, Non-standard neutrino interactions at DUNE, Nucl. Phys. B 908 (2020) 318 [arXiv:1511.05562].
- (10) P. Bakhti, A. N. Khan, and W. Wang, Sensitivities to charged-current nonstandard neutrino interactions at DUNE, J. Phys. G 44 (2017) 125001 [arXiv:1607.00065].
- (11) D. K. Papoulias, T. S. Kosmas, and Y. Kuno, Recent probes of standard and non-standard neutrino physics with nuclei, Front. Phys. 7 (2019) 191.
- (12) N. Severijns, M. Beck, and O. Naviliat-Cuncic, Tests of the standard electroweak model in nuclear beta decay, Rev. Mod. Phys. 78 (2006) 991 [arXiv:1911.00916].
- (13) M. Blennow, P. Coloma, E. Fernandez-Martinez, J. Hernandez-Garcia, and J. Lopez-Pavon, Non-unitary, sterile neutrinos, and non-standard neutrino interactions, JHEP 2017 (2017) 153 [arXiv:1609.08637].
- (14) J. H. Jenkins, E. Fischbach, J. B. Buncher, J. T. Gruenwald, D. E. Krause, and J. J. Mattes, Evidence of correlations between nuclear decay rates and Earth-Sun distance, Astropart. Phys. 32 (2009) 42 [arXiv:0808.3283].
- (15) J. H. Jenkins et al., Additional experimental evidence for a solar influence on nuclear decay rates, Astropart. Phys. 37 (2012) 81 [arXiv:1207.5783].
- (16) E. Fischbach, J. B. Buncher, J. T. Gruenwald, J. H. Jenkins, D. E. Krause, J. J. Mattes, and J. R. Newport, Time-dependent nuclear decay parameters: New evidence for new forces?, Space Sci. Rev. 145 (2009) 285.
- (17) P. A. Sturrock, E. Fischbach, J. Jenkins, Analysis of beta-decay rates for Ag108, Ba133, Eu152, Eu154, Kr85, Ra226, and Sr90, measured at the Physikalisch-Technische Bundesanstalt from 1990 to 1996, ApJ 794 (2014) 42 [arXiv:1408.3090].
- (18) J. H. Jenkins and E. Fischbach, Perturbation of nuclear decay rates during the solar flare of 2006 December 13, Astropart. Phys. 31 (2009) 407 [arXiv:0808.3156].
- (19) E. Fischbach et al., Indications of an unexpected signal associated with the GW170817 binary neutron star inspiral, Astropart. Phys. 103 (2018) 1 [arXiv:1801.03585].
- (20) J. M. Nistor, J. M. Heim, E. Fischbach, J. H. Jenkins, and P. A. Sturrock, Phenomenology of rate-related nonlinear effects in nuclear spectroscopy [arXiv:1407.4144].
- (21) T. Mohsinally et al., Evidence for correlations between fluctuations in 54Mn decay rates and solar storms, Astropart. Phys. 75 (2016) 29 [].
- (22) J. H. Jenkins, D. W. Mundy, and E. Fischbach, Analysis of environmental influences in nuclear half-life measurements exhibiting time-dependent decay rates, Nucl. Instr. Meth. Phys. Res. A 620 (2010) 332 [arXiv:0912.5385].
- (23) Pommé et al., Evidence against solar influence on nuclear decay constants, Phys. Lett. B 761 (2016) 281.
- (24) P. A. Sturrock, E. Fischbach, J. D. Scargle, Comparitive analyses of Brookhaven National Laboratory nuclear decay measurements and Super-Kamiokande solar neutrino measurements: Neutrinos and neutrino-induced beta-decays as probes of the deep solar interior, Sol. Phys. 291 (2016) 3467.
- (25) A. Gelman et al., Bayesian Data Analysis, CRC Press (2014).
- (26) M. Tanabashi et al. (Particle Data Group), Review of particle physics, Phys. Rev. D 98 (2018) 030001.
- (27) V. E. Barnes et al., Upper limits on perturbations of nuclear decay rates induced by reactor electron antineutrinos, Appl. Rad. Iso. 149 (2019) 182 [arXiv:1606.09325].
- (28) R. M. Lindstrom, E. Fischbach, J. B. Buncher, J. H. Jenkins, A. Yue, Absence of a self-induced decay effect in 198Au, Nucl. Instr. Meth. Phys. Res. A 659 (2011) 269 [arXiv:1108.5134].
- (29) R. M. Lindstrom et al., Study of the dependence of 198Au half-life on source geometry, Nucl. Instr. Meth. Phys. Res. A 622 (2010) 93 [arXiv:1006.5071].
- (30) B. Xin et al. (TEXONO Collaboration), Production of electron neutrinos at nuclear power reactors and the prospects for neutrino physics, Phys. Rev. D 72 (2005) 012006 [arXiv:hep-ex/0502001].