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Two-neutrino double electron capture of 124Xe
in the first LUX-ZEPLIN exposure

The LUX-ZEPLIN (LZ) Collaboration
J. Aalbers1,2, D.S. Akerib1,2, A.K. Al Musalhi3,111aiham.almusalhi@ucl.ac.uk, F. Alder3, C.S. Amarasinghe4,5, A. Ames1,2, T.J. Anderson1,2, N. Angelides6, H.M. Araújo6, J.E. Armstrong7, M. Arthurs1,2, A. Baker6, S. Balashov8, J. Bang9, J.W. Bargemann4, E.E. Barillier10,5, K. Beattie11, A. Bhatti7, A. Biekert11,12, T.P. Biesiadzinski1,2, H.J. Birch10,5, E. Bishop13, G.M. Blockinger14, B. Boxer15, C.A.J. Brew8, P. Brás16, S. Burdin17, M. Buuck1,2, M.C. Carmona-Benitez18, M. Carter17, A. Chawla19, H. Chen11, Y.T. Chin18, N.I. Chott20, M.V. Converse21, R. Coronel1,2, A. Cottle3, G. Cox22, D. Curran22, C.E. Dahl24,23, A. David3, J. Delgaudio22, S. Dey25, L. de Viveiros18, L. Di Felice6, C. Ding9, J.E.Y. Dobson3, E. Druszkiewicz21, S. Dubey9, S.R. Eriksen26, A. Fan1,2, N.M. Fearon25, N. Fieldhouse25, S. Fiorucci11, H. Flaecher26, E.D. Fraser17, T.M.A. Fruth27, R.J. Gaitskell9, A. Geffre22, J. Genovesi20, C. Ghag3, R. Gibbons11,12, S. Gokhale28, J. Green25, M.G.D.van der Grinten8, J.J. Haiston20, C.R. Hall7, S. Han1,2, E. Hartigan-O’Connor9, S.J. Haselschwardt11, M.A. Hernandez10,5, S.A. Hertel29, G. Heuermann5, G.J. Homenides30, M. Horn22, D.Q. Huang31, D. Hunt25, E. Jacquet6, R.S. James3,333Also at The University of Melbourne, School of Physics, Melbourne, VIC 3010, Australia, J. Johnson15, A.C. Kaboth19, A.C. Kamaha31, M. Kannichankandy14, D. Khaitan21, A. Khazov8, I. Khurana3, J. Kim4, Y.D. Kim32, J. Kingston15, R. Kirk9, D. Kodroff18,11, L. Korley5, E.V. Korolkova33, H. Kraus25, S. Kravitz34, L. Kreczko26, V.A. Kudryavtsev33, D.S. Leonard32, K.T. Lesko11, C. Levy14, J. Lin11,12, A. Lindote16,222alex@coimbra.lip.pt, W.H. Lippincott4, M.I. Lopes16, W. Lorenzon5, C. Lu9, S. Luitz1,2, P.A. Majewski8, A. Manalaysay11, R.L. Mannino35, C. Maupin22, M.E. McCarthy21, G. McDowell5, D.N. McKinsey11,12, J. McLaughlin23, J.B. McLaughlin3, R. McMonigle14, E. Mizrachi35,7, A. Monte4, M.E. Monzani1,2,36, E. Morrison20, B.J. Mount37, M. Murdy29, A.St.J. Murphy13, A. Naylor33, H.N. Nelson4, F. Neves16, A. Nguyen13, C.L. O’Brien34, I. Olcina11,12, K.C. Oliver-Mallory6, J. Orpwood33, K.Y Oyulmaz13, K.J. Palladino25, J. Palmer19, N.J. Pannifer26, N. Parveen14, S.J. Patton11, B. Penning10,5, G. Pereira16, E. Perry3, T. Pershing35, A. Piepke30, Y. Qie21, J. Reichenbacher20, C.A. Rhyne9, Q. Riffard11, G.R.C. Rischbieter10,5, E. Ritchey7, H.S. Riyat13, R. Rosero28, T. Rushton33, D. Rynders22, D. Santone19, A.B.M.R. Sazzad30, R.W. Schnee20, G. Sehr34, B. Shafer7, S. Shaw13, T. Shutt1,2, J.J. Silk7, C. Silva16, G. Sinev20, J. Siniscalco3, R. Smith11,12, V.N. Solovov16, P. Sorensen11, J. Soria11,12, A. Stevens3,6, K. Stifter24, B. Suerfu11,12, T.J. Sumner6, M. Szydagis14, D.R. Tiedt22, M. Timalsina11, Z. Tong6, D.R. Tovey33, J. Tranter33, M. Trask4, M. Tripathi15, A. Vacheret6, A.C. Vaitkus9, O. Valentino6, V. Velan11, A. Wang1,2, J.J. Wang30, Y. Wang11,12, J.R. Watson11,12, L. Weeldreyer30, T.J. Whitis4, K. Wild18, M. Williams5, W.J. Wisniewski1, L. Wolf19, F.L.H. Wolfs21, S. Woodford17, D. Woodward18,11, C.J. Wright26, Q. Xia11, J. Xu35, Y. Xu31, M. Yeh28, D. Yeum7, W. Zha18, E.A. Zweig31
1 SLAC National Accelerator Laboratory, Menlo Park, CA 94025-7015, USA 2 Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, CA 94305-4085 USA 3 University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, UK 4 University of California, Santa Barbara, Department of Physics, Santa Barbara, CA 93106-9530, USA 5 University of Michigan, Randall Laboratory of Physics, Ann Arbor, MI 48109-1040, USA 6 Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, UK 7 University of Maryland, Department of Physics, College Park, MD 20742-4111, USA 8 STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, UK 9 Brown University, Department of Physics, Providence, RI 02912-9037, USA 10 University of Zurich, Department of Physics, 8057 Zurich, Switzerland 11 Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA 94720-8099, USA 12 University of California, Berkeley, Department of Physics, Berkeley, CA 94720-7300, USA 13 University of Edinburgh, SUPA, School of Physics and Astronomy, Edinburgh EH9 3FD, UK 14 University at Albany (SUNY), Department of Physics, Albany, NY 12222-0100, USA 15 University of California, Davis, Department of Physics, Davis, CA 95616-5270, USA 16 Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal 17 University of Liverpool, Department of Physics, Liverpool L69 7ZE, UK 18 Pennsylvania State University, Department of Physics, University Park, PA 16802-6300, USA 19 Royal Holloway, University of London, Department of Physics, Egham, TW20 0EX, UK 20 South Dakota School of Mines and Technology, Rapid City, SD 57701-3901, USA 21 University of Rochester, Department of Physics and Astronomy, Rochester, NY 14627-0171, USA 22 South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, SD 57754-1700, USA 23 Northwestern University, Department of Physics & Astronomy, Evanston, IL 60208-3112, USA 24 Fermi National Accelerator Laboratory (FNAL), Batavia, IL 60510-5011, USA 25 University of Oxford, Department of Physics, Oxford OX1 3RH, UK 26 University of Bristol, H.H. Wills Physics Laboratory, Bristol, BS8 1TL, UK 27 The University of Sydney, School of Physics, Physics Road, Camperdown, Sydney, NSW 2006, Australia 28 Brookhaven National Laboratory (BNL), Upton, NY 11973-5000, USA 29 University of Massachusetts, Department of Physics, Amherst, MA 01003-9337, USA 30 University of Alabama, Department of Physics & Astronomy, Tuscaloosa, AL 34587-0324, USA 31 University of California, Los Angeles, Department of Physics & Astronomy, Los Angeles, CA 90095-1547, USA 32 IBS Center for Underground Physics (CUP), Yuseong-gu, Daejeon, Korea 33 University of Sheffield, Department of Physics and Astronomy, Sheffield S3 7RH, UK 34 University of Texas at Austin, Department of Physics, Austin, TX 78712-1192, USA 35 Lawrence Livermore National Laboratory (LLNL), Livermore, CA 94550-9698, USA 36 Vatican Observatory, Castel Gandolfo, V-00120, Vatican City State 37 Black Hills State University, School of Natural Sciences, Spearfish, SD 57799-0002, USA
Abstract

The broad physics reach of the LUX-ZEPLIN (LZ) experiment covers rare phenomena beyond the direct detection of dark matter. We report precise measurements of the extremely rare decay of 124Xe through the process of two-neutrino double electron capture (2ν\nu2EC), utilizing a \qty1.39kg×yr\qty{1.39}{kg\times yr} isotopic exposure from the first LZ science run. A half-life of T1/22ν2EC=(1.09±0.14stat±0.05sys)×\qtye22yrT_{1/2}^{\hskip 0.85358pt2\nu 2\mathrm{EC}}=(1.09\pm 0.14_{\text{stat}}\pm 0.05_{\text{sys}})\times\qty{e22}{yr} is observed with a statistical significance of \qty8.3σ, in agreement with literature. First empirical measurements of the KK capture fraction relative to other K-shell modes were conducted, and demonstrate consistency with respect to recent signal models at the \qty1.4σ level.

1 Introduction

Alongside a world-leading sensitivity to keV-scale scatters from weakly interacting massive particles (WIMPs), dual-phase xenon time projection chambers (TPCs) are also capable of searching for rare phenomena beyond dark matter interactions [1, 2]. Most notably, this encompasses experimental probes for the fundamental nature of the neutrino mass such as neutrinoless double beta decay (0νββ0\nu\beta\beta), the observation of which may indicate that neutrinos are Majorana particles [3, 4, 5, 6]. Neutrinoless double electron capture (0ν0\nu2EC) is an analogous process that would be associated with the proton-rich side of the binding energy parabola for even-even isobars [7, 8, 9]; 0ν0\nu2EC decays have yet to be observed, with extremely long expected half-lives in excess of \qtye29yr [10]. Models and predictions for this process may be developed through measurements of the adjacent process of two-neutrino double electron capture (2ν\nu2EC) [11], which involves the absorption of two atomic electrons and the subsequent conversion of a pair of protons into neutrons, along with the simultaneous emission of two neutrinos. Measured half-lives for this decay inform the underlying nuclear matrix element M(2ν)M^{(2\nu)} through the relation

(T1/22ν2EC)1=G2ν2ECgA4|mec2M(2ν)|2,\left(T_{1/2}^{\hskip 0.85358pt2\nu 2\mathrm{EC}}\right)^{-1}=G_{2\nu}^{2\mathrm{EC}}g^{4}_{A}\left|m_{e}c^{2}M^{(2\nu)}\right|^{2}, (1)

where gAg_{A} denotes the weak axial-vector coupling strength, mem_{e} is the electron mass, and the phase space factor G2ν2ECG_{2\nu}^{2\mathrm{EC}} is proportional to the reaction Q-value taken to the fifth power [12]. Thus far, 2ν\nu2EC has only been observed for 130Ba [13, 14], 78Kr [15, 16], and 124Xe [17, 18].

In this work, the extensive physics program of the LUX-ZEPLIN (LZ) experiment is highlighted with a precise measurement of the 124Xe decay half-life through 2ν\nu2EC. This result is extended with the first measurement of the relative capture fractions between atomic shell combinations. A brief description of the LZ experiment and its first exposure is provided in section 2. This is followed by a detailed overview of the analysis given in section 3, which covers the employed signal model, construction of the background model with an emphasis on the dominant 125I background, and an outline of the fit procedure. Finally, results of the analysis, including the measured relative capture fractions, are discussed in section 4.

2 The LUX-ZEPLIN experiment

The LZ experiment [19, 20] is situated \qty1480m underground within the Davis Cavern at the Sanford Underground Research Facility in Lead, South Dakota. With a \qty1100m (\qty4300m.w.e\qty{4300}{\mathrm{m.w.e}}) rock overburden, the flux of cosmic muons in the cavern is attenuated by a factor of \qty3e6 with respect to that at the surface [21, 22]. The detector is housed within a tank holding \qty238t of ultra-pure water for additional shielding from ambient radiation. Combined with an extensive radioassay campaign and strict cleanliness protocols in assembly, this establishes an ultra-low background environment [23].

At the core of the LZ detector is a dual-phase xenon TPC with an active volume containing \qty7t of liquid xenon (LXe). Energy depositions in the LXe generate vacuum ultraviolet scintillation photons (S1), as well as ionization electrons. The electrons drift to the liquid surface under a vertical electric field and are subsequently extracted into the gas phase by a stronger field, where they produce a secondary scintillation signal (S2). Light is detected by two arrays of 3-inch photomultiplier tubes (PMTs), with 253 at the top and 241 at the bottom. To enhance background rejection, the detector features two anti-coincidence veto systems: an optically isolated LXe skin surrounding the TPC, which is instrumented with 93 1-inch and 38 2-inch PMTs; and a near-hermetic outer detector (OD) comprised of acrylic tanks filled with gadolinium-loaded liquid scintillator, viewed by 120 8-inch PMTs in the water tank. These detectors enable the rejection of events with coincident gamma rays or neutrons.

The detector response is calibrated with a variety of dedicated sources [24]. In particular, dispersed mono-energetic sources such as 83mKr and 131mXe are used to correct the S1 and S2 observables for position-dependent effects; the corrected versions are denoted as S1c and S2c, and are measured in units of photons detected (phd) [25]. These quantities are combined to reconstruct the energy of an event according to

E=W(S1cg1+S2cg2),E=W\left(\frac{\mathrm{S1c}}{g_{1}}+\frac{\mathrm{S2c}}{g_{2}}\right), (2)

where g1=\qty0.114(2)phd/photong_{1}=\qty{0.114(2)}{phd/photon} and g2=\qty47.1(11)phd/electrong_{2}=\qty{47.1(11)}{phd/electron} respectively describe the photon detection efficiency and the effective charge gain, and W=\qty13.5eVW=\qty{13.5}{eV} is the assumed work function [26].

Of the calibration sources deployed during the first exposure of LZ, a \qty4.5d calibration campaign partway through the run is of particular relevance to this work. This utilized neutrons generated by deuterium-deuterium (DD) fusion to characterize the nuclear recoil response of the detector [27, 28]. The deployment of neutron calibrations introduces additional transient backgrounds from activation of xenon isotopes. Treatment of these sources for the background model is detailed in section 3.2.

3 Analysis overview

The data analyzed here are from Science Run 1 (SR1), acquired between December 23rd, 2021, and May 11th, 2022. For the first LZ WIMP search (WS) result [25], a suite of data quality cuts were developed to target accidental coincidence backgrounds, which originate from false pairings of uncorrelated S1s and S2s, as well as other unique detector pathologies such as photon pileup and delayed electron emission. A number of these cuts involved the exclusion of periods with elevated detector activity, and hence posed a substantial impact on the accrued live time. For the purpose of this analysis, the contribution of such effects is not significant as the focus is at a higher energy regime, and hence only a minimal set of cuts need be applied: a fiducial volume (FV) cut to reject external backgrounds near the TPC boundaries; pulse area thresholds of (S1c>\qty100phd)\left(\mathrm{S1c}>\qty{100}{phd}\right) and (S2>\qty600phd)\left(\mathrm{S2}>\qty{600}{phd}\right) to mitigate for tails of accidental backgrounds; and vetoes from the skin and OD to tackle events with multiple interaction vertices. This results in an overall exposure of \qty96.4(10) live days. The same \qty5.5(2)t FV definition was maintained as the SR1 WS analysis. Constraints on various background rates in the FV were informed by dedicated measurements from several studies [29].

3.1 Signal model

For 124Xe, 2ν\nu2EC proceeds as

Xe124+2eTe124+2νe+(X-rays & Auger electrons),{}^{124}\mathrm{Xe}+2e^{-}\longrightarrow{}^{124}\mathrm{Te}+2\nu_{e}+(\text{X-rays \& Auger electrons}), (3)

with a reaction Q-value of \qty2856.73(12)keV\qty{2856.73(12)}{keV} [30]. Most of this energy is carried away by the neutrinos, whilst the nuclear recoil energy is only 𝒪(10)eV\mathcal{O}(10)\>\text{eV} [31], and hence the only detectable signal consists entirely of deposits from the X-rays and Auger cascade in the subsequent atomic de-excitation of the 124Te daughter. The energy of the experimental signature is determined by the combination of atomic shells from which electrons were captured. Here we assume the same relative shell capture fractions and energies as the XENON collaboration [18]; these are summarized in table 1. All capture combinations are expected to manifest as single-scatter (SS) interactions due to the sub-millimeter reach in LXe at the energy scale of the emitted X-rays and Auger electrons.

The half-life T1/22ν2ECT_{1/2}^{\hskip 0.85358pt2\nu 2\mathrm{EC}} is related to the activity A2ν2ECA_{2\nu 2\mathrm{EC}} by

T1/22ν2EC=ηNAA2ν2ECMAln2,T_{1/2}^{\hskip 0.85358pt2\nu 2\mathrm{EC}}=\frac{\eta N_{A}}{A_{2\nu 2\mathrm{EC}}M_{A}}\ln{2}, (4)

where NAN_{A} is Avogadro’s constant, MA=\qty131.293(6)g\permolM_{A}=\qty{131.293(6)}{g\per mol} is the molar mass of xenon [32], and η\eta is the isotopic abundance of 124Xe. It is assumed that the isotopic composition of xenon in LZ is consistent with that of atmospheric xenon. At the natural 124Xe abundance η=\qty0.0952(3)%\eta=\qty{0.0952(3)}{\%} [33], the isotopic exposure is \qty1.39kg×yr\qty{1.39}{kg\times yr}. Out of 400{\sim}400 decays over the course of this exposure (for T1/22ν2EC=\qty1.1e22yrT_{1/2}^{\hskip 0.85358pt2\nu 2\mathrm{EC}}=\qty{1.1e22}{yr} [18]), <10<10 events are expected to occur from double L-shell (LL) and higher-shell electron captures. Therefore, a 20–100 keV interval was set as the region of interest (ROI) for this search; the lower bound reflects the lack of sensitivity to these modes, whereas the upper bound encapsulates the energies of flat backgrounds extending beyond the signal peaks.

Table 1: Energies and relative capture fractions for different shell combinations in the 124Xe 2ν\nu2EC signal model, as adopted in [18]. Decay modes are labeled by the combination of shells from which electrons were captured.
  • Decay mode Capture fraction [%] Energy [keV]
    KK 72.4 64.3
    KL 20.0 36.7–37.3
    KM 4.3 32.9–33.3
    KN 1.0 32.3–32.4
    LL 1.4 8.8–10.0
    Other 0.9 <10<10

3.2 Background model

The majority of backgrounds within the 20–\qty100keV 2ν\nu2EC ROI, listed in table 2, exhibit flat and continuous energy spectra, enabling straightforward modeling. Furthermore, their rates in SR1 have been well-constrained by a variety of sideband studies, as reported in reference [29]. A subset of these backgrounds is comprised of unstable xenon isotopes, which were produced via cosmogenic activation during transport, as well as through neutron activation as a result of deploying neutron sources to calibrate the detector response to nuclear recoils. Aside from 133Xe, which features as a beta spectrum with a shoulder starting at the \qty81.0keV gamma-ray line [34], these can deposit energies within close proximity to the secondary (KL + KM + KN) 124Xe signal peak, denoted here as KX. Isotopes with decays involving a single electron capture, namely 125Xe and 127Xe, involve cascades with a total deposited energy of \qty33.2keV for K-shell captures [35]. However, these decays are accompanied by a gamma ray, which often gives rise to a multiple-scatter (MS) topology or is tagged by the veto detectors, with an efficiency of \qty78.0(50)%, and hence they are suppressed by the SS and veto cuts. Similarly, 129mXe emits a pair of coincident \qty196.6keV and \qty39.6keV internal conversion electrons in its transitions to the ground state [36], with a very low probability of detecting the lower energy gamma ray in isolation.

Table 2: Summary of backgrounds to the 124Xe 2ν22\nu 2EC measurement. Reported rate estimates are for SS events within the ROI, after the application of area thresholds, vetoes, and the FV cut. Solar neutrino and detector material backgrounds consist of a sum over all relevant sources. K-shell EC and single gamma-ray rates are for cases where the skin veto fails to tag an outgoing associated gamma ray; 125Xe is excluded as its average rate is effectively zero in this context. Half-lives are quoted from nuclear data sheets [37, 35, 36, 34], and otherwise omitted in cases where they exceed the lifetime of the experiment, or for sources that are continually produced.
  • Source ROI signature Half-life Average rate [mHz]
    125I Multiple EC peaks \qty59.4d \qty1.75(38)e-1
    127Xe K-shell EC (\qty33.2keV) \qty36.3d \qty3.98(25)e-3
    129mXe γ\gamma (\qty39.6keV) \qty8.9d \qty7.31(52)e-4
    133Xe β+γ\beta+\gamma (\qty81.0keV) \qty5.2d \qty7.36(75)e-1
    136Xe 2νββ2\nu\beta\beta continuous - \qty1.34(32)e-1
    212Pb continuous - \qty5.70(3)e-3
    214Pb continuous - \qty2.16(5)e-1
    85Kr continuous - \qty3.83(92)e-2
    Solar neutrinos continuous - \qty2.71(7)e-2
    Materials continuous - \qty8.25(3)e-4

An especially problematic background is 125I, which is produced by the neutron activation of 124Xe according to the following steps

Xe124+n\displaystyle{}^{124}\text{Xe}+n Xe125+γ,\displaystyle\longrightarrow{}^{125}\text{Xe}+\gamma, (5)
Xe125+e\displaystyle{}^{125}\text{Xe}+e^{-} \qty16.9hECI125+νe+γ+(X-rays & Auger electrons),\displaystyle\mathrel{\overset{\text{\scriptsize{EC}}}{\underset{\text{\scriptsize{\qty{16.9}{h}}}}{\longrightarrow}}}{}^{125}\text{I}+\nu_{e}+\gamma+(\text{X-rays \& Auger electrons}), (6)

and decays to an excited state of 125Te via electron capture as

I125+e\qty59.4dECTe125+νe+γ+(X-rays & Auger electrons).{}^{125}\text{I}+e^{-}\mathrel{\overset{\text{\scriptsize{EC}}}{\underset{\text{\scriptsize{\qty{59.4}{d}}}}{\longrightarrow}}}{}^{125}\text{Te}+\nu_{e}+\gamma+(\text{X-rays \& Auger electrons}). (7)

The combination of the subsequent de-excitation cascades and the \qty35.5keV nuclear transition of the 125Te daughter generates peaks that significantly overlap with the 124Xe signals. For instance, the K-shell capture mode of 125I has an associated total energy of \qty67.3keV; with a measured energy resolution of \qty4.5(4)%, this peak is \qty1σ from the \qty64.3keV KK peak 124Xe. This is similarly the case for the other 125I decay modes, as shown in table 3.

Table 3: Energies and capture fractions for 125I background peaks. The capture fractions are quoted from [38], and the binding energies are taken from [39, 40] with uncertainties excluded as they are of 𝒪(1)eV\mathcal{O}(1)\>\text{eV}.
  • Decay mode Capture fraction [%] Energy [keV]
    γ\gamma + K 80.11±0.1780.11\pm 0.17 67.3 (35.5 + 31.8)
    γ\gamma + L 15.61±0.1315.61\pm 0.13 40.4 (35.5 + 4.9)
    γ\gamma + M 3.49±0.073.49\pm 0.07 36.5 (35.5 + 1.0)

In SR1, 125I was predominantly produced during the DD calibration campaign. Whilst it has a natural half-life of \qty59.4d [37], it is efficiently removed by the LZ online purification system, which employs a hot zirconium getter [19]. To quantify the removal rate during SR1, the \qty67.3keV peak associated with K-shell ECs in 125I was selected in data immediately following the DD calibration using the \qty2σ contour of a two-dimensional Gaussian fit of the corresponding population in (S1c,S2c)(\mathrm{S1c},\mathrm{S2c}) space. Events passing this selection along with the specified minimal set of cuts were divided into one-day bins according to their registered trigger timestamps, with the rate calculated in each bin adjusted for the experimental dead time.

The observed time profile of 125I rates over the course of SR1 is visualized in figure 1, with a pronounced growth due to neutron activation following the DD calibrations. To model the behavior of its rate in the post-DD period, the number of 125I nuclei at a given time, NI125(t)N_{{}^{125}\mathrm{I}}(t), was described by a differential equation

dNI125(t)dt=λXe125NXe125(t)(λI125+λg)NI125(t),\frac{dN_{{}^{125}\mathrm{I}}(t)}{dt}=\lambda_{{}^{125}\mathrm{Xe}}N_{{}^{125}\mathrm{Xe}}(t)-\left(\lambda_{{}^{125}\mathrm{I}}+\lambda_{g}\right)N_{{}^{125}\mathrm{I}}(t), (8)

in which the positive term represents the production of 125I from the decay of 125Xe, and the effective decay constant λeff=(λI125+λg)\lambda_{\mathrm{eff}}=\left(\lambda_{{}^{125}\mathrm{I}}+\lambda_{g}\right) consists of a getter removal component λg\lambda_{g} and a natural decay component λI125\lambda_{{}^{125}\mathrm{I}}. A fit to the post-DD exponential decay in figure 1 yields a getter removal half-life of t1/2g=\qty3.8(2)dt_{1/2}^{g}=\qty{3.8(2)}{d}, which translates into an effective 125I half-life of t1/2eff=\qty3.6(2)dt_{1/2}^{\mathrm{eff}}=\qty{3.6(2)}{d} with the natural decay component included. For reference, the values reported for t1/2gt_{1/2}^{g} by LUX and XENON1T are \qty3.7(3)d and \qty4.6(1.6)d, respectively [31, 18]. In each case, the corresponding getter removal time constant was consistent with the interval for xenon to flow through one cycle of the circulation system.

Refer to caption
Figure 1: Rate of events in the FV over SR1 for a selection dominated by 125I. Along with skin and OD vetoes, a \qty2σ elliptical contour was applied from a two-dimensional Gaussian fit to the 125I K-shell EC population in (S1c, S2c) space. The overlaid profile represents a combination of the neutron activation model and a fit to the post-DD decay trend. The additional intermission window beyond the DD calibration period was caused by a circulation event, over which the detector purity temporarily decreased.

In addition, the expected amount of 125I was also constrained by an activation model. The activation rate was characterized using DD calibration data by profiling the rates of both 125I and 125Xe within the vicinity of the neutron conduit at the top of the TPC. This subsequently informed the predicted 125I rate through the DD period given the measured getter removal time constant. The projected rate within the post-DD period is in very close agreement with the direct fit of the decay trend, and hence the latter is adopted for the combined model curve overlaid in figure 1.

In general, the baseline rate was expected to consist of continuous backgrounds, some contamination from the 2ν2\nuKK mode of 124Xe, and a flat rate of 125I from thermal neutron activation. However, a shift was observed between the pre-DD and post-DD baseline rates, from \qty16.1(32)counts\perd down to \qty10.0(0.5)counts\perd. This was attributed to a residual 125I population in the pre-DD window from activation during longer neutron calibrations performed a month prior to the start of SR1. With different circulation settings used in the physics commissioning period leading up to SR1, such as a higher flow rate through the getter, the 125I removal efficiency was slightly lower and hence extended the pre-DD decay curve. Nevertheless, the low pre-DD 125I rate is sufficiently well-approximated as flat over time.

3.3 Fit procedure

Since the signals and backgrounds both produce electron recoils (ERs), reconstructed energy was adopted as the main observable. Furthermore, rather than excluding a post-DD window with elevated background rates, the full exposure can be preserved by leveraging the temporal variation of the primary 125I background, which motivates the use of calendar time as an additional observable. Given the substantial overlap in energy between 125I and the signal, incorporating this temporal information leads to a boost in sensitivity.

Two-dimensional fits in energy and time were performed according to a binned extended maximum likelihood approach, using a likelihood function of the form

ln(𝒅|𝜽,𝝁,𝝈)=iNEjNtdijlnfij(𝜽)ν(𝜽)kNc12(θkμkσk)2,\ln{\mathcal{L}(\boldsymbol{d}|\boldsymbol{\theta},\boldsymbol{\mu},\boldsymbol{\sigma})}=\sum_{i}^{N_{E}}\sum_{j}^{N_{t}}d_{ij}\ln f_{ij}(\boldsymbol{\theta})-\nu(\boldsymbol{\theta})-\sum_{k}^{N_{c}}\frac{1}{2}\left(\frac{\theta_{k}-\mu_{k}}{\sigma_{k}}\right)^{2}, (9)

where observed counts dijd_{ij} and expected counts fij(𝜽)f_{ij}(\boldsymbol{\theta}) are divided into NEN_{E} \qty1keV energy bins and NtN_{t} \qty1d time bins. For each of the NcN_{c} signal plus background components, there is an associated energy PDF pkp_{k} and time PDF tkt_{k}, both of which are scaled by the corresponding rate parameter θk\theta_{k} such that fij(𝜽)=kNcθkpiktjkf_{ij}(\boldsymbol{\theta})=\sum^{N_{c}}_{k}\theta_{k}p_{ik}t_{jk}. Energy spectra produced by the LZ parametric simulations chain were normalized to produce pkp_{k} [41], whereas tkt_{k} represents the live time distribution over calendar time scaled by rate profile of the kkth component, which is either constant or an exponential decay. The extended Poisson term ν(𝜽)=iNEjNtfij(𝜽)\nu(\boldsymbol{\theta})=\sum_{i}^{N_{E}}\sum_{j}^{N_{t}}f_{ij}(\boldsymbol{\theta}) serves to include information from the total sample size.

To simplify the fit procedure, the SR1 dataset was split into pre-DD and post-DD subsets consisting of 23.1 and 73.3 live days each, and evaluated with a simultaneous likelihood fit. The model contains a total of 10 parameters: 6 are shared between the two likelihoods, and a pair of unique pre-DD and post-DD rates is associated with each of 125I and 133Xe as they are impacted by the DD calibrations. Rates for 212Pb and detector materials were fixed as they were comparatively subdominant.

The model parameters 𝜽\boldsymbol{\theta} are regularized by a Gaussian constraint term, which penalizes significant deviations from the expected rates 𝝁\boldsymbol{\mu} as a fraction of their uncertainties 𝝈\boldsymbol{\sigma}. Whereas the signal term was left unconstrained, initial estimates for background rates and their constraints were derived from the results of sideband analyses [29]. In particular, tight constraints on 125I were enabled by the activation model outlined in section 3.2. Goodness of fit is quantified in terms of the metric χλ2=2iNEjNtfij(𝜽)dij+dijln(dij/fij(𝜽))\chi^{2}_{\lambda}=2\sum_{i}^{N_{E}}\sum_{j}^{N_{t}}f_{ij}(\boldsymbol{\theta})\hskip 0.85pt-\hskip 0.85ptd_{ij}\hskip 0.85pt+\hskip 0.85ptd_{ij}\ln(d_{ij}/f_{ij}(\boldsymbol{\theta})), which is constructed by means of a Poisson likelihood ratio test [42].

4 Results and discussion

The outcome of the fit is presented in figure 2 as separate projections in energy and time, with a best-fit activity of A2ν2EC=\qty0.28(4)counts\per\peryrA_{2\nu 2\text{EC}}=\qty{0.28(4)}{counts\per\per yr}. Evaluation of a likelihood ratio test statistic with respect to the the background-only case yields a significance of \qty8.3σ for the presence of a 2ν\nu2EC signal. The half-life inferred using equation 4 is

T1/22ν2EC=(1.09±0.14stat±0.05sys)×\qtye22yr,T_{1/2}^{\hskip 0.85358pt2\nu 2\mathrm{EC}}=(1.09\pm 0.14_{\text{stat}}\pm 0.05_{\text{sys}})\times\qty{e22}{yr}, (10)

which is in excellent agreement with the previously reported measurement by XENON1T at T1/22ν2EC=(1.1±0.2stat±0.1sys)×\qtye22yrT_{1/2}^{\hskip 0.85358pt2\nu 2\mathrm{EC}}=(1.1\pm 0.2_{\text{stat}}\pm 0.1_{\text{sys}})\times\qty{e22}{yr} [18]. A breakdown of the systematic uncertainties is given in table 4. The dominant contribution is formed by the uncertainty on the FV mass. Secondary sources of uncertainty stem from the energy reconstruction parameters g1g_{1} and g2g_{2} as calibrated for the WS, as well as the live time estimate.

Refer to caption
Figure 2: Simultaneous fit of pre-DD and post-DD subsets of SR1 projected into energy and time. Both 212Pb and the detector material components were fixed as they are subdominant. The top panel is displayed with rates averaged over the pre-DD and post-DD time windows, whereas rates in the bottom panel were integrated over the entire ROI. Although 133Xe appears to dominate in the time projection plot, it is well-separated from the signal peaks in energy. The residual plots show fractional differences between the best-fit model 𝒎\boldsymbol{m} and the data 𝒅\boldsymbol{d} to illustrate the fit quality, with the most significant differences occurring in the low-statistics regions between features. The overall χλ2/Ndof=4451.22/4462=1.00\chi^{2}_{\lambda}/N_{\text{dof}}=4451.22/4462=1.00 is indicative of a high quality fit. The energy-only goodness of fit, calculated by marginalizing over time, is χλ2/Ndof=197.34/150=1.32\chi^{2}_{\lambda}/N_{\text{dof}}=197.34/150=1.32.
Table 4: Summary of systematic uncertainties on the 124Xe 2ν22\nu 2EC half-life, with the total calculated by summing the individual contributions in quadrature.
  • Contribution Uncertainty [\qtye22yr] Relative uncertainty [%]
    Fiducial mass 0.04 3.7
    Energy reconstruction 0.02 1.8
    Live time 0.01 0.9
    Total 0.05 4.6

A first measurement of the relative capture fractions is performed by introducing an additional parameter for the KK fraction, allowing the two signal peaks to float separately. Relative ratios of modes comprising the KX peak were kept fixed. Bounds at [0,0.977][0,0.977] were imposed on this value, such that the 2.3% proportion of 124Xe signal below the ROI is preserved, and the KX fraction can be inferred directly; the KK fraction was otherwise left unconstrained. The fitted KK and KX fractions are \qty64.8(53)% and \qty32.9(53)%, with an associated overall χλ2/Ndof=4843.42/4461=1.09\chi^{2}_{\lambda}/N_{\text{dof}}=4843.42/4461=1.09. At \qty1.4σ away from the values in table 1, these fit results are reasonably consistent with the assumed model. Future LZ runs will enable more precise measurements of these fractions, and may provide sensitivity towards the substructure of the KX peak.

The measured half-life is compared with recent predictions from various theoretical frameworks, as well as measurements and lower limits set by other experiments, in figure 3. The result obtained here is compatible with effective theory (ET) and large-scale nuclear shell model (NSM) calculations [43], and is in agreement with those from the quasiparticle random-phase approximation (QRPA) [44, 45] approach at the \qty2σ level. Moreover, this measurement is also consistent with the 90% confidence level lower limits set by XENON100 [46] and LUX [31], though a discrepancy is observed with respect to the limit produced by XMASS [47].

Refer to caption
Figure 3: Comparison of the measured half-life with theoretical predictions represented by black bars and experimental lower limits indicated by dashed lines.

5 Conclusion and outlook

In this paper, we reported on the search for 2ν\nu2EC of 124Xe in the first science run of the LZ experiment. With an isotopic exposure of \qty1.39kg×yr\qty{1.39}{kg\times yr}, we observed a half-life of T1/22ν2EC=(1.09±0.14stat±0.05sys)×\qtye22yrT_{1/2}^{\hskip 0.85358pt2\nu 2\mathrm{EC}}=(1.09\pm 0.14_{\text{stat}}\pm 0.05_{\text{sys}})\times\qty{e22}{yr} at a significance of \qty8.3σ, demonstrating the versatility of LZ in exploring physics beyond its primary goal of searching for dark matter. We also report on the first measurement of the relative capture fractions for this decay, at \qty64.8(53)% and \qty32.9(53)% for the KK and summed (KL + KM + KN) modes respectively, which are relatively consistent with the adopted signal model [18]. Additional data from upcoming LZ exposures will allow for these capture fractions to be measured with higher precision, and will ultimately enable searches for rarer variants of 124Xe decay, namely 2νECβ+2\nu\mathrm{EC}\beta^{+} and 2ν2β+2\nu 2\beta^{+}, along with their neutrinoless counterparts [10]. Moreover, it may be of interest to also probe for enhancements to recombination in 124Xe decays in future work, as has been observed for single electron captures [48].

Acknowledgments

The research supporting this work took place in part at the Sanford Underground Research Facility (SURF) in Lead, South Dakota. Funding for this work is supported by the U.S. Department of Energy, Office of Science, Office of High Energy Physics under Contract Numbers DE-AC02-05CH11231, DE-SC0020216, DE-SC0012704, DE-SC0010010, DE-AC02-07CH11359, DE-SC0015910, DE-SC0014223, DE-SC0010813, DE-SC0009999, DE-NA0003180, DE-SC0011702, DE-SC0010072, DE-SC0006605, DE-SC0008475, DE-SC0019193, DE-FG02-10ER46709, UW PRJ82AJ, DE-SC0013542, DE-AC02-76SF00515, DE-SC0018982, DE-SC0019066, DE-SC0015535, DE-SC0019319, DE-SC0024225, DE-SC0024114, DE-AC52-07NA27344, & DE-SC0012447. This research was also supported by U.S. National Science Foundation (NSF); the UKRI’s Science & Technology Facilities Council under award numbers ST/W000490/1, ST/W000482/1, ST/W000636/1, ST/W000466/1, ST/W000628/1, ST/W000555/1, ST/W000547/1, ST/W00058X/1, ST/X508263/1, ST/V506862/1, ST/X508561/1, ST/V507040/1 , ST/W507787/1, ST/R003181/1, ST/R003181/2, ST/W507957/1, ST/X005984/1, ST/X006050/1; Portuguese Foundation for Science and Technology (FCT) under award numbers PTDC/FIS-PAR/2831/2020; the Institute for Basic Science, Korea (budget number IBS-R016-D1); the Swiss National Science Foundation (SNSF) under award number 10001549. This research was supported by the Australian Government through the Australian Research Council Centre of Excellence for Dark Matter Particle Physics under award number CE200100008. We acknowledge additional support from the UK Science & Technology Facilities Council (STFC) for PhD studentships and the STFC Boulby Underground Laboratory in the U.K., the GridPP [49, 50] and IRIS Collaborations, in particular at Imperial College London and additional support by the University College London (UCL) Cosmoparticle Initiative, and the University of Zurich. We acknowledge additional support from the Center for the Fundamental Physics of the Universe, Brown University. K.T. Lesko acknowledges the support of Brasenose College and Oxford University. The LZ Collaboration acknowledges the key contributions of Dr. Sidney Cahn, Yale University, in the production of calibration sources. This research used resources of the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. We gratefully acknowledge support from GitLab through its GitLab for Education Program. The University of Edinburgh is a charitable body, registered in Scotland, with the registration number SC005336. The assistance of SURF and its personnel in providing physical access and general logistical and technical support is acknowledged. We acknowledge the South Dakota Governor’s office, the South Dakota Community Foundation, the South Dakota State University Foundation, and the University of South Dakota Foundation for use of xenon. We also acknowledge the University of Alabama for providing xenon. For the purpose of open access, the authors have applied a Creative Commons Attribution (CC BY) license to any Author Accepted Manuscript version arising from this submission. Finally, we respectfully acknowledge that we are on the traditional land of Indigenous American peoples and honor their rich cultural heritage and enduring contributions. Their deep connection to this land and their resilience and wisdom continue to inspire and enrich our community. We commit to learning from and supporting their effort as original stewards of this land and to preserve their cultures and rights for a more inclusive and sustainable future.

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