The characterization took place in the HADES (High Activity Disposal Experimental Site) underground laboratory in Mol, Belgium [21], benefiting from a 500 m water equivalent overburden with negligible hadronic background and low \(^{76}\)Ge activation rate from atmospheric muons. A description of the HEROICA platform that was used can be found in [22]. Similar measurements were performed and the same analysis protocols were applied as in [23]. A summary of the general detector information is given in Table 1.
Experimental setup
Each detector was mounted in a vacuum cryostat and cooled down to 95 K by a cold finger immersed in liquid nitrogen. In total, three test benches were used, two static tables with lead and copper shields and one unshielded scanning table (see Fig. 2), with the following goals.
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Determine the nominal bias voltage. The analysis of the 1333 keV \(\gamma \) line properties of \(^{60}\)Co was performed for various applied bias voltages.
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Probe the geometrical detector response. The homogeneity of the detectors’ surface response was finely scanned by embedding a highly collimated \(^{241}\)Am source on a 3D movable arm [22]. The source was typically moved by steps of 1 mm every 5 min. The 3 cm thick collimator with an aperture of 1 mm diameter produces a \(\sim 2\ \text {mm}^2\) spot for which 95% of the 60 keV \(\gamma \) rays are absorbed in \(^{76}\)Ge within 3 mm.
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Estimate the best achievable energy resolution. Construct the resolution curve from all available \(\gamma \) lines full width at half maximum (FWHM) as measured in optimal electronic noise data taking condition.
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Evaluate the pulse shape discrimination performance. The \(^{228}\)Th energy spectrum and pulse shape parameters were recorded for typically a few hours using a 12 kBq non-collimated source to probe the overall detector bulk response. Additionally, due to the large size of the IC detectors, these parameters have been coarsely scanned at four different heights with a 250 kBq \(^{228}\)Th source mounted behind a 20 cm long collimator of 10 cm diameter with an aperture of 2.5 mm diameter. This special measurement was performed at the Technische Universität München underground laboratory.
A Gerda-like data acquisition system [24] was used for these measurements. The signal was first amplified before being digitized at 100 MHz by a VME-Struck FlashADC (FADC). For each triggered event, a 10 \(\upmu \)s long trace and a 25 MHz down-sampled trace of 160 \(\upmu \)s length were stored to disk for offline processing. The former trace was used to study the shape of the current pulse, i.e. A and signal rise time, while the latter was used for the energy reconstruction. The standard Gerda analysis software, Gelatio [25] has been used for this study. For the energy reconstruction, a trapezoidal digital filter has been selected with the following parameters: 4 \(\upmu \)s rise and fall time and 2 \(\upmu \)s flat top. Due to occasional FADC failures, part of the data have been recorded by a Multi-Channel Analyser (MCA). This acquisition mode provided an energy spectrum measured at 10\(~\upmu \)s shaping time without pulse shape information.
Table 1 Diameter (D), height (H), well depth (W) and mass (M) of the five inverted coaxial detectors. Their well diameter is 10.5 mm. The dimensions were provided by the manufacturer while masses were measured by Gerda Nominal bias voltage
The energy resolution of the detectors has been studied under various applied bias voltages in order to retrieve the nominal bias voltage. It is defined here as the voltage where the energy resolution reaches its minimal and stable value. The bias voltage was varied from 2000 V up to 4700 V in steps of 100 V and data taken with a mixed 1.5 kBq source of \(^{60}\)Co–\(^{137}\)Cs–\(^{241}\)Am (see Fig. 4). The results of the five detectors are illustrated for the 1333 keV \(^{60}\)Co line in Fig. 5 and the retained nominal bias voltage for each detector is listed in Table 2. The peak position and peak integral variations were also studied. For each detector, the deduced nominal bias voltage agreed within 100 V with the estimate from the energy resolution measurements. All nominal bias voltages were found to be lower than 4000 V, fulfilling the required specification.
Theoretical field calculations were performed with the ADL software [16] for gradually increasing bias voltages. Full depletion was assumed when a minimal electric field of 10 V/cm was reached everywhere in the detector bulk. The deduced depletion voltages agreed with the data at the level of 100 V, except for detector 50A (see below).
The disagreement can mainly be attributed to the uncertainty on the net impurity concentration profile (amplitude and gradient) provided by the manufacturer. As a general rule, the operational voltage in the Gerda experiment was set to 400–600 V above the quoted nominal bias voltage (see Table 2). Detector 50A exhibits a peculiar behaviour: different from the other detectors, its energy resolution remains rather constant between 2000 and 2800 V, and the ADL simulation predicts a nominal bias voltage that is lower by 760 V than measured. The ADL simulation does explain these observations showing a pinch-off (see discussion in [23]) at bias voltages within 2100–2700 V, i.e. a persisting very low electric field region close to the p+ contact. Hence a much higher bias voltage is needed to establish sufficient field strength at the p+ contact.
As to the recommended operational voltage, we verified that the norm of the electric field fulfilled the minimal electric field specification of 200 V/cm (see Sect. 2).
Detector 48A could not be operated beyond the nominal bias voltage in Gerda because the noise from the strongly increased leakage current led to unacceptable data quality.
For characterization measurements in vacuum cryostats, described in the following, the voltages recommended by the manufacturer, which are typically 500–1000 V higher than the depletion voltages, were applied (see Table 2).
Table 2 Nominal bias voltages from scans compared to simulations and manufacturer depletion voltages. Also shown are the operational voltages of the measurements at HADES and Gerda Energy resolution
The energy resolution of all available prominent \(\gamma \) lines from the full data collection (cf. Fig. 2) is shown for each detector in Fig. 6. The FWHM resolution is estimated from a Gaussian fit to the data after subtraction of the background observed in the side bands. Results compatible with the specification from the manufacturer were found. A global fit (\(\sqrt{a + b \times E}\)) to the data is used to interpolate the energy resolution at \(Q_{\beta \beta }\) which ranges from 2.04 to 2.19 keV FWHM in vacuum cryostat.
Surface response homogeneity
In this section, detector response parameters of interest for the data analysis in Gerda are detailed as a function of the interaction position near the detector surface. We investigated the charge collection efficiency, the [0.5–90%] signal rise time and the pulse shape discrimination parameter by means of scans with a highly collimated low energy \(\gamma \) ray source (60 keV \(\gamma \) line from a 4.3 MBq \(^{241}\)Am source). In total, about 1500 measurements were performed with an exposure of 5 min each. For the sake of conciseness, we show in Fig. 8 and comment below a selection of relevant observables for detector 50A and events originating from the prominent 60 keV line. The number of counts and the peak position are obtained after Compton background and tail subtraction (see Fig. 7). Events found in the tail are typically from \(\gamma \) rays with partial charge collection due to energy loss at the detector surface [23, 26].
Firstly, the lateral scans (Fig. 8a) feature a specific count rate profile mainly affected by the non homogeneous width of the detector holder (cf. two 9 mm ditches in Fig. 2, middle). The profile is well reproduced at different angles. This specific detector has a slight taper on the upper part at heights above 40 mm, leading to a thinner full charge collection depth (FCCD) in this region hence explaining the visible higher count rate starting at \(H=40\) mm. The charge collection efficiency of the 60 keV \(\gamma \) line, quantified via the peak position (Fig. 8b), decreases as the energy deposition occurs further away from the p+ contact. This behavior, observed at all angles and for all detectors, is understood as charge trapping along the drift path. The effect is lower (\(\sim 0.05\) %) than the energy resolution at \(Q_{\beta \beta }\) (0.13%) but sizable. Thanks to its correlation with the charge collection time, it can effectively be corrected for. The reported rise time [0.5–90%] is the average value of all the events in the peak. Its mean distribution (Fig. 8c) increases linearly in the lower part of the detector before reaching a plateau. This plateau is best explained by the charge drift paths (see Fig. 1 right), all converging at a height of 5 cm toward the same low electric field region. Finally, the normalized pulse shape parameter \(\left<A/E\right>\) is also scrutinized. \(\left<A/E\right>\) is the position of the Gaussian peak of the A/E distribution of 60 keV events. As seen in Fig. 8d) it features two plateaus that are understood via the simulation of charge cloud dynamics. This dynamics comprises diffusion, acceleration and repulsion of the charges that, when summed, increase the spatial distribution of the charge clouds as they start drifting towards the p+ contact. As a consequence of a larger spatial distribution, a lower current amplitude A for the upper scan positions is observed. Electrostatic simulations, performed with the Siggen software [27], reproduce this feature both qualitatively and quantitatively, as detailed in [28].
Secondly, the top radial scans shown in Fig. 8, right, also have an interesting pattern due to the presence of the well. While the average count rate is in agreement with the upper lateral measurement, an increase at the well location is explained by both an increased acceptance and a thinner FCCD originating from the fabrication process. Same observations apply to the charge collection. The mean rise time profile is stable at 1240 ns but peaks off to 820 ns in the well, close to the p+ contact. The \(\left<A/E\right>\) shift observed at the well level confirms the interpretation given for the lateral scan since no difference in \(\left<A/E\right>\) between well and top events is expected from pure electrostatic simulation, without charge cloud dynamics.Footnote 1 The small angular \(\left<A/E\right>\) shifts apart from the well can originate from a slight misalignment of the well or the groove (\(<0.5\) mm) relative to the central detector axis that would create an asymmetric weighting field.
The outcome of these exhaustive scans is summarized for each detector in Table 3 in form of the observed maximal variation of each parameter between the various source positions. From this table, one can appreciate that the shift of the 60 keV \(\gamma \) line for the entire data collection lies within the same order of magnitude of the energy resolution at \(Q_{\beta \beta }\), 0.1 and 0.15% in vacuum cryostat and in LAr (see Sect. 4), respectively. As a result, despite the large drift time, a sufficiently good homogeneity of the charge collection over the whole detector volume is ensured. Concerning \(\left<A/E\right>\), shifts of its average value vary from 0.2% up to 1.0%. This is of the same order of magnitude as the typical A/E resolution found at higher energies, close to \(Q_{\beta \beta }\) in vacuum cryostat (see Fig. 10). However, the shift is much lower than what was achievable in GerdaFootnote 2 [11]. The minimal and maximal rise times are taken from the lateral measurement, i.e. the most relevant values for benchmarking \(^{228}\)Th source data (see Sect. 3.5). For detector 50B, only MCA data were taken, hence no pulse shape parameters are available and the peak position is less reliable.
Table 3 Maximal variation \(\Delta \) of peak position (PP) and \(\left<A/E\right>\) at the 60 keV \(\gamma \) line. The minimum and maximum rise time (RT) of the 60 keV \(\gamma \) line is reported for comparison with \(^{228}\)Th data Pulse shape discrimination performance
Pulse-shape analysis provides a simple but powerful technique to discriminate signal-like SSEs from background-like MSEs which is crucial for realizing the background-free condition [14]. In the following analysis, the \(^{208}\)Tl double escape peak (DEP) has been used as a proxy for SSEs while MSEs have been considered from various Compton scattering regions, including the Compton continuum at \(Q_{\beta \beta }\) \(~\pm ~35\) keV, referred to as CC @ \(Q_{\beta \beta }\). During the characterization campaign, three types of data were recorded with a \(^{228}\)Th source: two flood measurements from top and lateral positions and collimated lateral measurements at four different heights (see Figs. 2 and 9) with the aim to resolve the spatial dependency of the A/E parameter.
Correlation between A/E and rise time
From Sect. 3.4, the A/E ratio of SSEs is expected to be distributed around two values from energy depositions that happen close to and far away from the p+ contact. These two values are close but could be resolved in the low electronic noise environment of the vacuum cryostat. On Fig. 10, the lateral scan data show the two SSE A/E populations from the \(^{208}\)Tl DEP line of detector 50A: short rise time with high A/E and long rise time with low A/E. At the closest position to the p+ contact (\(H = 16\) mm), the dominant SSE population has a rise time between 800 ns and 950 ns. This is about 50 ns shorter than what is observed in the lateral \(^{241}\)Am source scan (Fig. 8c).
This observation can be explained in part by the fact that the 2615 keV \(\gamma \) rays penetrate deeper in the detector and hence probe a region on average closer to the p+ contact. Additionally, \(^{241}\)Am source lateral scans are performed along a single detector orientation as opposed to flood measurements that probes a large fraction of the detector bulk. As a result, scans produce pulses with a specific charge velocity, sensitive to the closest crystal axis, that is not representative of the average bulk velocity. At higher positions up to the top (\(H = 64\) mm), the main population is moving towards longer rise times of about 1200 ns. The shift between the two A/E populations is found to be 0.4% for this detector which is compatible with the observed variation in \(^{241}\)Am source measurements.
Table 4 Survival fractions (in %) and their statistical uncertainty obtained with detector 50A and the low-sided PSD cut at indicated \(\gamma \) line regions and the Compton continuum around \(Q_{\beta \beta }\) (CC@\(Q_{\beta \beta }\))
Background rejection
The rejection of MSEs for the two rise time populations (Fig. 11) was studied by considering the lateral \(^{228}\)Th source flood measurement (Fig. 2). The effect of charge cloud diffusion is here most enhanced due to well distributed event statistics across the detector height. The PSD cut is set on the low A/E distribution side to accept 90% of the \(^{208}\)Tl DEP events. Various peaks of interest featuring variable proportions of SSEs and MSEs have been investigated. Their survival fractions after applying the cut, for four different analysis configurations, are summarized in Table 4 for detector 50A. The lateral analysis dataset combines all data without any correction or selection. In addition, the corrected analysis shows the PSD performance when the linear rise time dependence of A/E (cf. Fig. 10) is corrected for. This energy dependent linear correction aims to cancel the position dependence of the SSE A/E by empirically minimizing the width of the SSE band A/E distribution. This is done by (1) fitting its rise time dependence at many Compton continuum energy regions above 1 MeV:
$$\begin{aligned} A/E(RT) = a(E) + b(E) \times RT \end{aligned}$$
(2)
and, (2) applying this correction to all events:
$$\begin{aligned} A/E^{\text {corr}}_{i} = (A/E_i - b(E) \times RT_i) / a(E). \end{aligned}$$
(3)
Table 5 Survival fractions (in %) and their statistical uncertainty obtained with top \(^{228}\)Th source position and the low-sided PSD cut at indicated energy regions
The short RT and long RT analysis datasets comprise only the events that fall into the short and long rise time population, respectively (cf. Fig. 11). Despite a double A/E peak for SSEs, the lateral analysis shows excellent rejection of MSEs (32% acceptance of Compton continuum at \(Q_{\beta \beta }\)) as compared to the Gerda BEGe detectors (\(\sim \)40%) [23]. Similar performance is observed if the linear rise time correction is applied to A/E. However, this position dependence correction comes at the expense of a better understanding of its energy dependence and will require additional studies on other classes of events found in Gerda [19]. The short RT and long RT analysis quantify the ability of our PSD method to discriminate SSEs and MSEs in the lower and upper parts of the detector, respectively. As expected, it does perform significantly better for the upper part as the separation in time between the hits is on average larger. Care must be taken not to overinterpret this qualitative observation as MSEs do feature, by definition, longer rise time.
The background rejection performance of all five IC detectors for the top \(^{228}\)Th source measurements, without correction, is summarized in Table 5. The values are comparable to the ones obtained with BEGe and PPC detectors [20, 23].