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Measurement of the half-life of the two-neutrino double beta decay of 76Ge with the GERDA experiment

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Published 12 February 2013 © 2013 IOP Publishing Ltd
, , Citation The GERDA Collaboration et al 2013 J. Phys. G: Nucl. Part. Phys. 40 035110 DOI 10.1088/0954-3899/40/3/035110

0954-3899/40/3/035110

Abstract

The primary goal of the GERmanium Detector Array (GERDA) experiment at the Laboratori Nazionali del Gran Sasso of INFN is the search for the neutrinoless double beta decay of 76Ge. High-purity germanium detectors made from material enriched in 76Ge are operated directly immersed in liquid argon, allowing for a substantial reduction of the background with respect to predecessor experiments. The first 5.04 kg yr of data collected in Phase I of the experiment have been analyzed to measure the half-life of the neutrino-accompanied double beta decay of 76Ge. The observed spectrum in the energy range between 600 and 1800 keV is dominated by the double beta decay of 76Ge. The half-life extracted from GERDA data is T1/2 = (1.84+0.14−0.10) × 1021 yr.

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1. Introduction and scope

Neutrinoless double beta (0νββ) decay of atomic nuclei (A,Z) → (A,Z + 2) +2e is a forbidden process in the Standard Model (SM) of particle physics because it violates lepton number by two units. An observation of such a decay would demonstrate lepton number violation in nature and would prove that neutrinos have a Majorana component. For recent reviews, see [1]. The two-neutrino double beta (2νββ) decay of atomic nuclei,

with the simultaneous emission of two electrons and two anti-neutrinos, conserves lepton number and is allowed within the SM, independent of the nature of the neutrino. Being a higher-order process, it is characterized by an extremely low decay rate: so far it is the rarest decay observed in laboratory experiments. It is observable for a few even-even nuclei and was detected to-date for eleven nuclides; the corresponding half-lives are in the range of 7 × 1018–2 × 1024 yr [24].

The measurement of the half-life of the 2νββ decay (T1/2) is of substantial interest. For example, model predictions of the 0νββ half-life require the evaluation of nuclear matrix elements. These calculations are complicated and have large uncertainties. They are different from those required for the 2νββ decay, but it has been suggested [5, 6] that, within the same model framework, some constraints on the 0νββ matrix elements NME can be derived from the knowledge of the 2νββ nuclear matrix elements NME. Also, the nuclear matrix element NME which is extracted from the measurement of the half-life of the 2νββ decay can be directly compared with the predictions based on charge exchange experiments [7, 8]. A good agreement would indicate that the reaction mechanisms and the nuclear structure aspects that are involved in the 2νββ decay are well understood.

The GERmanium Detector Array (GERDA) experiment at the Laboratori Nazionali del Gran Sasso of INFN searches for the 0νββ decay of 76Ge. High-purity germanium (HPGe) detectors isotopically enriched in 76Ge are operated bare and immersed in liquid argon (LAr) in order to greatly reduce the environmental background. As a first result of this ongoing research, this paper reports a precise measurement of the half-life of the 2νββ decay of 76Ge. The data used in this work encompasses an exposure of 5.04 kg yr, taken between November 2011 and March 2012.

2. The GERDA experimental setup

A brief outline of the components of the GERDA detector that are most relevant for this work is given below; a detailed description can be found in [9, 10].

The GERDA experimental setup is shown in figure 1. At the core of the setup there is an array of HPGe detectors. They are operated bare in LAr which acts both as a coolant and as a shield against the residual environmental background. The array configuration consists of eleven germanium detectors: eight are made from isotopically modified germanium (enrGe), enriched to about 86% in 76Ge, and three are made from natural germanium (natGe), with a total mass of 17.67 and 7.59 kg, respectively. The enriched detectors come from the former Heidelberg–Moscow (HdM) [11] and Igex [12] experiments. They underwent specific refurbishing processes before operation in GERDA [13, 14]. The germanium detectors are mounted in strings with typically three diodes each. Signals are amplified by low noise, low radioactivity charge sensitive preamplifiers [15] with 30 MHz bandwidth operated inside the LAr. They are digitized by a 14-bit 100 MHz continuously running ADC (FADC) equipped with anti-aliasing bandwidth filters. In the offline analysis the waveforms are digitally processed to reconstruct the event energy.

Figure 1.

Figure 1. Artist's view of the GERDA experiment. The detector array is not to scale.

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The detector array is surrounded by 64 m3 of 5.0-grade LAr, contained in a vacuum insulated cryostat made of stainless steel, lined on the inner side by a 3–6 cm thick layer of copper. The cryostat is in turn placed at the centre of a 580 m3 volume of ultra-pure water equipped with 66 photomultiplier tubes to veto the residual cosmic ray muons by the detection of Cherenkov light. The large water volume also serves as a shield to moderate and capture neutrons produced by natural radioactivity and in muon-induced hadronic showers.

The energy scale is set by using calibration curves, parametrized as second-order polynomials, derived for each detector by calibration runs taken with 228Th sources. The stability of the energy scale is monitored by performing such calibration runs every one or two weeks. Moreover, the stability of the system is continuously monitored by using ad hoc charge pulses generated by a spectroscopy pulser that are regularly injected in the input of the charge sensitive preamplifier.

All GERDA detectors but two exhibit a reverse current of the order of tens of pA. The two problematic detectors showed an increase of leakage current soon after the beginning of their operation; therefore their bias high voltage had to be reduced and finally completely removed. These two detectors do not contribute to the present data set, although they are accounted for in the detector anti-coincidence cut described below. The total mass of the operational enriched detectors is 14.63 kg. The natGe detectors are not considered in the present analysis because of their low content of 76Ge. The average energy resolution for the six enriched detectors considered in this study is about 4.5 keV (full width at half maximum) at the Qββ-value of 76Ge (2039 keV) [10].

A key parameter which is required for the computation of T1/2 is the total 76Ge active mass. It is calculated as the product of the total detector mass with the isotopic abundance of 76Ge (f76) and the fraction of the active mass (fact).

The average 76Ge isotopic abundance of the six enriched detectors considered in this work is 86.3% [10, 12, 16, 17].

In GERDA p-type semi-coaxial detectors are used, for which a part of the volume close to the outer surface is inactive. After mechanical modifications and processing of the germanium diodes at the manufacturer, their active mass was re-determined experimentally [10, 13]. The measured average fraction fact is 86.7%, with individual detector fact uncertainties of about 6.5%.

3. The data set

The data set considered for the analysis was taken between 9 November 2011 and 21 March 2012, for a total of 125.9 live days, amounting to an exposure of 5.04 kg yr. Digitized charge pulses from the detectors are analyzed with the software tool Gelatio [18] according to the GERDA standard procedure [19]. The pulse amplitude is reconstructed offline by applying an approximated Gaussian filter with an integration time of 5 μs (which is sufficient to avoid losses due to ballistic effects). Events generated by discharges or due to electromagnetic noise are rejected by using a set of quality cuts. Due to the low counting rate, the data set has a negligible contamination of pile-up events. The combined efficiency of the trigger and of the offline data processing is practically 100% above 100 keV. Similarly, no loss of physical events is expected from the application of the quality cuts, as deduced by dedicated Monte Carlo studies and by the analysis of pulser data. Events that are in coincidence with a valid veto signal from the muon detector and events having a signal in more than one HPGe detector are excluded from the analysis. The time window for the coincidence between the muon detector and the HPGe detectors was set to 8 μs while that between different HPGe detectors was set to a few μs. Due to the very low muon flux in the Gran Sasso laboratory, the dead time induced by the muon veto is negligible.

Given the half-life of the 2νββ decay reported in the literature (about 1.5 × 1021 yr), the anticipated count rate of the enrGe detectors is about 100 counts day−1 in the entire energy range up to Qββ = 2039 keV. Since the detectors are submerged in LAr, the radioactive decay of 39Ar, which is a long-lived β emitter produced by cosmogenic activation of natural argon in the atmosphere, gives a large contribution up to its Qβ-value of 565 keV. In fact, the low-energy spectrum is dominated by these β particles and their Bremsstrahlung photons, which account for about 1000 counts day−1 above 100 keV. The 2νββ decay is expected to be the major contributor in the energy spectrum above the end-point of the 39Ar spectrum. For this reason, the analysis of the 2νββ decay is performed in the range between 600 keV, which is comfortably above the end-point of the 39Ar spectrum, and 1800 keV. The sum spectrum of the six enrGe detectors considered in this work is displayed in figure 2. The analysis range contains 8796 events in total. The probability for a 2νββ decay taking place in the active volume of the enrGe detectors to produce a total energy release between 600 and 1800 keV is about 63.5%; the energy range above 1800 keV is practically insensitive to the 2νββ signal, as the probability for a decay to produce an energy release in this region is <0.02%. These estimates are based on the Monte Carlo simulation of 2νββ decays in the GERDA detectors as described in section 4. Hence, the energy region chosen for the analysis is well suited for the study of the 2νββ decay signal.

Figure 2.

Figure 2. Energy spectrum of the six enrGe detectors. The 39Ar β decay dominates the counting rate at low energies up to its Qβ-value of 565 keV. The energy range which is considered for the 2νββ analysis and a few prominent γ lines are also shown.

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4. Data analysis

4.1. Statistical treatment and fit model

The experimental spectra of the six diodes are analyzed following the binned maximum likelihood approach described in [20]. The analysis region is divided into 40 bins, each 30 keV wide. A global model is fitted to the observed energy spectra. The model contains the 2νββ decay of 76Ge and three independent background contributions, namely 42K, 214Bi and 40K. The presence of these background sources is established by the observation of their characteristic γ lines: 1525 keV from 42K; 1460 keV from 40K; 609 keV and 1764 keV from 214Bi; 352 keV from 214Pb (progenitor of 214Bi).

42K is a short-lived β emitter (Qβ = 3525 keV, T1/2 = 12.6 h) which is present in GERDA as a progeny of the long-lived 42Ar (Qβ = 599 keV, T1/2 = 32.9 yr). 42Ar is a trace radioactive contaminant expected in natural argon and is produced by cosmogenic activation. 214Bi from the 238U decay series and 40K are γ emitters from the environmental radioactivity.

A few more candidate γ lines have been identified in the GERDA spectrum [10], which indicate the presence of small additional background contributions: in particular 208Tl and 228Ac from the 232Th decay series, and 60Co. However, most of the candidate γ lines have either a poor statistical significance and/or are seen in some detectors only. Given the lack of discriminating power in the data, the background contributions other than 42K, 214Bi and 40K are not included in the fit. However, their possible impact on the extracted half-life T1/2 is included in the systematic uncertainty, as discussed in section 4.2; their cumulative contribution to the background is estimated to be of a few percent.

The half-life of the 2νββ decay is common in the fit to the six spectra of the enrGe detectors. The intensities of the background components are independent for each detector. The active mass and the 76Ge abundance of each detector are also left free in the fit; they are treated as nuisance parameters and integrated over at the end of the analysis.

The shapes of the energy spectra for the model components (signal and three backgrounds) are derived by a Monte Carlo simulation for each detector individually. The simulation is performed using the MaGe framework [21] based on Geant4 [22]. Assumptions have to be made in the Monte Carlo simulation about the location and the primary spectrum of each component of the model. The spectrum of the two electrons emitted in the 2νββ decay of 76Ge is sampled according to the distribution of [3] (with the Primakoff–Rosen approximation removed) that is implemented in the code decay0 [23]. Electrons are propagated in the GERDA simulated setup by MaGe and the total energy released in the active mass of the enriched detectors is registered.

The 42K activity is uniformly distributed in the LAr volume. The decay products of the β decay of 42K are taken into account as the initial state in the simulation. However, the energy deposit in the detectors is mainly given by the 1525 keV γ-ray (full energy peak and Compton continuum): the contribution due to the β particles is small (less than a few percent) with respect to the 1525 keV γ-ray. The actual position of the 40K and 214Bi emitters contributing to the GERDA spectrum is not known in detail: the assumption is made in the Monte Carlo of 'close sources'. The ratio of the intensities of the 214Bi γ lines observed in the experimental spectrum is consistent with such an assumption. The impact on T1/2 due to the lack of knowledge about the source position—which affects the peak-to-Compton ratio—is accounted as a systematic uncertainty. The effect of muon-induced events that are not accompanied by a veto signal, e.g. due to inefficiency, is estimated to be <0.02% in the energy range of this analysis.

The spectral fit is performed using the Bayesian Analysis Toolkit (Bat) [24]. A flat distribution between 0 and 1022 yr is taken as the prior probability density function (PDF) for T1/2. The prior PDF for the active mass fraction of each detector is modeled as a Gaussian distribution, having mean value and standard deviation according to the measurements performed in [13]. The analysis accounts for the fact that the uncertainties on the active masses fact are partially correlated, because of the experimental procedure employed for the measurement. Uncertainties on fact are split into an uncorrelated term—which is specific of each detector—and a common correlated term. The prior PDF for the 76Ge isotopic abundance f76 for each detector is also a Gaussian, having mean value according to the earlier measurements reported in [10]. The uncertainty of f76 is between 1% and 3% for the single detectors. It was estimated from the dispersion of independent measurements performed with isotopically enriched material; this dispersion is much larger than the quoted uncertainty of each individual measurement.

The fit has 32 free parameters: one common value for the 2νββ half-life and 31 nuisance parameters. The nuisance parameters are the common term which describes the correlated uncertainty of the active masses plus five independent variables for each of the six detectors (active mass, 76Ge abundance and three background components). The detector parameters used for the prior PDF's are summarized in table 1.

Table 1. Summary table of the six enriched detectors used in this work. For each detector, the total mass, the active mass and the isotopic abundance of 76Ge are given. The uncertainties reported for the active masses are the uncorrelated (first) and correlated (second) errors. The last column reports the T1/2 which is obtained by performing the analysis on each detector individually. The uncertainty on T1/2 is the fit uncertainty only.

Detector Total mass (g) Active mass (g) 76Ge isotopic abundance (%) T1/2 (1021 yr)
ANG2 2833 2468 ± 121 ± 89 86.6 ± 2.5 1.99+0.14−0.15
ANG3 2391 2070 ± 118 ± 77 88.3 ± 2.6 1.69+0.15−0.14
ANG4 2372 2136 ± 116 ± 79 86.3 ± 1.3 1.94+0.14−0.15
ANG5 2746 2281 ± 109 ± 82 85.6 ± 1.3 1.79+0.12−0.14
RG1 2110 1908 ± 109 ± 72 85.5 ± 2.0 1.94+0.18−0.14
RG2 2166 1800 ± 99 ± 65 85.5 ± 2.0 1.93+0.16−0.16

Figure 3 shows experimental data together with the best fit model for the sum of the six detectors. The analysis energy window contains 8796 events. The best fit model has an expectation of 8797.0 events, divided as follows: 7030.1 (79.9%) from the 2νββ decay of 76Ge; 1244.6 (14.1%) from 42K; 335.5 (3.8%) from 214Bi; and 186.8 (2.1%) from 40K. The individual components derived from the fit are also shown in figure 3. The signal-to-background ratio in the region 600–1800 keV is on average 4: 1, which is much better than for any past experiment which observed the 2νββ decay of 76Ge. The best ratio achieved so far for 76Ge was approximately 1:1 by HdM [17]. The model is able to reproduce well the experimental data, as shown in the lower panel of figure 3. The p-value of the fit derived from the procedure of [25], is p = 0.77.

Figure 3.

Figure 3. Upper and middle panels: experimental data (markers) and the best fit model (black histogram) for the sum of the six detectors together (linear and logarithmic scale). Individual contributions from 2νββ decay (red), 42K (blue), 40K (purple) and 214Bi (green) are shown separately. The shaded band covers the 68% probability range for the data calculated from the expected event counts of the best fit model. Lower panel: ratio between experimental data and the prediction of the best fit model. The green, yellow and red regions are the smallest intervals containing 68%, 95% and 99.9% probability for the ratio assuming the best fit parameters, respectively [26].

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All nuisance parameters are eventually integrated over in order to derive the posterior PDF p(T1/2) for the 2νββ half-life. The p(T1/2) distribution is nearly Gaussian; the best estimate of the half-life is

Equation (1)

(fit error only). This uncertainty is calculated as the smallest interval containing 68% probability of p(T1/2). It includes the uncertainty induced on T1/2 by the nuisance parameters of the fit and accounts for parameter correlations. Active masses and 76Ge isotopic abundances drive the fit uncertainty on T1/2: if these parameters were known without uncertainties, the 1σ uncertainty from the fit would be about 0.03 × 1021 yr.

As a cross-check, the same procedure is run for each detector separately. The resulting T1/2 values are summarized in table 1; they are mutually consistent within their uncertainties (χ2/ν = 3.02/5).

4.2. Systematic uncertainties

The items which are taken into account as possible systematic uncertainties of T1/2 and which are not included in the fitting procedure are summarized in table 2. They can be divided into three main categories: (1) uncertainties related to the fit model (choice of the components, shape of input spectra); (2) uncertainties due to the Monte Carlo simulation regarding the precision of the geometry model and the accuracy of the tracking of particles; (3) uncertainties due to data acquisition and handling. The latter term turns out to be negligible with respect to the others. The most relevant items from table 2 are briefly discussed in the following.

Table 2. Summary table of the systematic uncertainties on T1/2 which are taken into account for this work and which are not included in the fitting procedure.

Item Uncertainty on T1/2 (%)
Non-identified background components +5.3  
Energy spectra from 42K, 40K and 214Bi ±2.1  
Shape of the 2νββ decay spectrum ±1  
Subtotal fit model   +5.8−2.3
Precision of the Monte Carlo geometry model ±1  
Accuracy of the Monte Carlo tracking ±2  
Subtotal Monte Carlo   ±2.2
Data acquisition and selection   ±0.5
Grand total   +6.2−3.3

Additional background components that are not accounted for in the fit model might be present in the GERDA spectrum (see [10] for a list of the γ-ray lines detected in the GERDA spectrum and of the corresponding intensities). Due to the large signal-to-background ratio and the limited exposure these background components cannot be identified unambiguously. The uncertainty arising from such possible contributions is estimated to be +5.3%. Since any further background component would lead to a longer T1/2, this uncertainty is asymmetric. It is estimated by performing a fit with the contributions from 60Co, 228Ac, and a flat background added to the model. These additional components are treated in the same way as the 'standard' background components (42K, 40K, and 214Bi). The spectra from 60Co and 228Ac are simulated by Monte Carlo assuming close sources and one additional parameter for each detector and each additional background contribution is included in the fit. Also for the flat background an individual contribution is considered for each detector. The flat component describes the contribution coming from 208Tl decays from the 232Th chain: given the small number of events expected in the analysis energy window, this contribution can be roughly approximated to be constant. To a first approximation, also other possible non-identified background components can be accounted by the constant contribution to the model.

The systematic uncertainty on T1/2 due to the uncertainties in the spectra of the standard background components (42K, 40K, and 214Bi) is estimated to be 2.1%. It is evaluated by repeating the analysis with different assumptions on the position and distribution of the sources and with artificial variations (e.g. via a scaling factor) of the ratio between the full-energy peaks and the Compton continua.

The primary spectrum of the 2νββ decay which is fed into the Monte Carlo simulation is generated by the code decay0. decay0 implements the algorithm described in [3], which is based on [27, 28]. The 2νββ decay distributions of [3] are in principle more precise than those based on the Primakoff–Rosen approximation [29]. They have been cross-checked against the high-statistics data of the Nemo experiment for several nuclei: 82Se, 96Zn and 150Nd [30]. The 2νββ spectrum derived by the Primakoff–Rosen approximation was used in earlier works with 76Ge, like [31]. When the present analysis is re-run by using the formula of [31], the T1/2 result is stable within 1%.

The uncertainty related to the MaGe Monte Carlo simulation arises from two sources: (1) the implementation of the experimental geometry into the code (dimensions, displacements, materials); and (2) the interaction of radiation with matter (cross sections, final state distributions) which is performed by Geant4. These items are evaluated to be 1% and 2%, respectively. The estimated contribution due to the particle tracking is based on the fact that electromagnetic physics processes provided by Geant4 for γ-rays and e± have been systematically validated at the few-percent level in the energy range which is relevant for γ-ray spectroscopy [32]. In this particular application the Monte Carlo uncertainty is mainly due to the propagation of the external γ-rays: the 2νββ-decay electrons generated in the germanium detectors have a sub-cm range and they usually deposit their entire kinetic energy, apart from small losses due to the escape of Bremsstrahlung or fluorescence photons.

The combination in quadrature of the contributions reported in table 2 sums up to +6.2−3.3%, corresponding to +0.11−0.06 × 1021 yr.

5. Results and conclusions

The half-life of the 2νββ decay of 76Ge was derived from the first data from the GERDA experiment at the INFN Gran Sasso Laboratory. GERDA operates HPGe detectors enriched in 76Ge directly immersed in LAr. The analysis has been carried out on the data collected with six enrGe detectors (14.6 kg total weight) during 125.9 live days by fitting the energy spectra with a comprehensive model. The best estimate of the half-life of the 2νββ decay is

Equation (2)

with the fit and systematic uncertainties combined in quadrature.

The half-life is longer than all previous measurements reported in the literature. A summary of the T1/2 results of 76Ge from earlier experiments versus publication year is displayed in figure 4. The figure includes nine measurements published between 1990 and 2005 and two weighted averages. A trend toward longer T1/2 values reported by the most recent (and lowest background) experiments is clearly seen. The GERDA result is in better agreement with the two most recent results of [31, 37] that are based on the re-analysis of the HdM data26. The fact that the half-lives derived in the more recent works—and particularly in this one—are systematically longer is probably related to the superior signal-to-background ratio, which lessens the relevance of the background modeling and subtraction. Thus the total GERDA uncertainty is comparable to what was achieved by HdM, in spite of the much smaller exposure.

Figure 4.

Figure 4. Experimental results for T1/2 of 76Ge versus publication year. The plot includes results from the experiments ITEP-YPI [33], PNL-USC (natGe) [34] PNL-USC-ITEP-YPI [35, 36], Heidelberg–Moscow (HdM) [11, 17] and Igex [12, 16], as well as the re-analysis of the HdM data by Klapdor-Kleingrothaus et al [31] (HdM-K) and by Bakalyarov et al [37] (HdM-B). The NNDC-recommended value [38] and the global weighted average evaluated by Barabash [2] are also shown.

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The uncertainty of the GERDA result can be further reduced in the future by accumulating more exposure and by performing a new and more precise measurement of the active mass of the detectors. Large data sets will reduce also the uncertainty due to the fit model, as background components can be better characterized and constrained by the (non-)observation of γ lines.

Using phase space factors from the improved electron wave functions reported in [39], the experimental matrix element for the 2νββ decay of 76Ge calculated with the half-life of this work is NME = 0.133+0.004−0.005 MeV−1.

The present value for NME is 11% smaller than that used in [5], which compares the matrix elements for 2νββ and 0νββ decays. Reference [5] also shows a relation between the two matrix elements for QRPA calculations of 76Ge. According to this, the new value for NME results in an increase of the predicted half-life for the 0νββ by about 15%, which is well within the present uncertainty of the model calculation.

The nuclear matrix elements of the 2νββ decay of 76Ge estimated from the charge exchange reactions (d, 2He) and (3He,t) are (0.159 ± 0.023) MeV−1 [7] and (0.23 ± 0.07) MeV−1 [8], respectively. They both seem to be higher than the value reported in this work, but consistent within the uncertainties.

Acknowledgments

The GERDA experiment is supported financially by the German Federal Ministry for Education and Research (BMBF), the German Research Foundation (DFG) via the Excellence Cluster Universe, the Italian Istituto Nazionale di Fisica Nucleare (INFN), the Max Planck Society (MPG), the Polish National Science Centre (NCN), the Russian Foundation for Basic Research (RFBR), and the Swiss National Science Foundation (SNF). The institutions acknowledge also internal financial support. The GERDA collaboration thanks the Directors and the staff of the Laboratori Nazionali del Gran Sasso for their continuous strong support of the experiment. We would like to thank Professor V I Tretyak for help and suggestions about the modeling of the energy spectrum of the 2νββ decay.

Footnotes

  • 26 

    If T1/2 were as short as 1.5 × 1021 yr reported in [2], the 2νββ decay of 76Ge would account for nearly all counts detected in the range 600–1800 keV (expected: 8782.7, detected: 8976), thus leaving almost no space for any other background source in GERDA.

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10.1088/0954-3899/40/3/035110