Simulation method
The Physics list classes of G4EmLivermorePhysics for low energy electromagnetic process and G4RadioactiveDecay for radioactive decay process were used [19,20,21]. The \(^{238}\)U and \(^{232}\)Th decay chains were treated as broken at the long-lived parts of the chain. The \(^{238}\)U chain was broken into five distinct groups and the \(^{232}\)Th chain was broken into three groups. The details are reported in Ref. [22].
Each simulated event record includes all energy deposited in the crystals within an event window of 10 \(\upmu \)s from the time a decay is generated, to account for the conditions in the data acquisition system (DAQ) of the experimental setup [7]. Sometimes decays with relatively short half-lives, such as \(^{212}\)Po decay (with a half-life of 300 ns) and the subsequent daughter decays will appear in the 10 \(\upmu \)s time window, resulting in pileup events. They are treated as a single event in the simulation.
The simulated spectrum was convolved with an energy dependent energy resolution function developed during a calibration run. Calibration points were measured using \(\gamma \)–ray sources: 59.5 keV(\(^{241}\)Am), 1173.2 and 1332.5 keV (\(^{60}\)Co). Internal background peaks at 3.2 and 1460.8 keV from \(^{40}\)K, 67.3 keV from \(^{125}\)I, and 609.3 keV from \(^{214}\)Bi were used to calibrate the measured spectra; peaks at 3.2, 59.5, and 67.3 keV were used for the low energy calibration below 70 keV.
Internal backgrounds in the NaI(Tl) crystals
After the insertion of the crystals into the shield and prior to filling the liquid scintillator container, their background levels were measured to verify that they were free of any additional contamination. Overall, the eight crystals have acceptable \(^{238}\)U and \(^{232}\)Th contaminations as shown in Table 1 [7]. Secular equilibrium in the chains is assumed for the interpretation of \(^{238}\)U and \(^{232}\)Th related radioactivity measurements, with the exception of \(^{210}\)Pb.
In order to estimate the background contributions from \(^{238}\)U, \(^{232}\)Th, \(^{40}\)K, and \(^{210}\)Pb, we simulated background spectra from the internal radioactive contaminants and normalized them by their measured activities in Table 1. In the normalization we assumed a chain equilibrium and, thus, all related activities within the chains are equal to the \(^{238}\)U, \(^{232}\)Th, and \(^{40}\)K activities multiplied by the branching ratios for decay of the daughter isotopes. We also added the background simulation of internal \(^{210}\)Pb by considering the measured \(\alpha \) rate. The resultant background contributions, except for those from \(^{40}\)K and \(^{210}\)Pb, were negligible in all eight crystals.
The \(^{40}\)K contribution is reduced by the LS veto detector. To measure the reduction efficiency of the \(^{40}\)K generated 3.2 keV emission background provided by tagging the accompanying 1460.8 keV \(\gamma \)-ray in one of the other NaI(Tl) crystals or the LS, and to compare this to the efficiency provided by the other crystals alone, we generated \(^{40}\)K decays at random locations inside a NaI(Tl) crystal for the cases with and without the LS veto. From these simulations, we determined that the Crystal-6 tagging efficiency by other crystals without LS is 31.7±0.1 \(\,\%\) and by the LS only is 64.9±0.2\(\,\%\). The total combined efficiency is 81.7±0.3 \(\%\). The efficiency is measured in the crystal energy range between 2 and 6 keV by requiring the LS energy deposit be larger than 20 keV. Efficiencies vary depending on the crystal location in the detector. For example, Crystal-1 (at the corner of the 4\(\times \)2 array) shows higher coverage by the LS (75 %) than neighboring crystals (17 %), but the combined efficiency is similar to that of Crystal-6 (82 %). The tagging efficiency of the 1460.8 keV \(\gamma \)-ray in the LS-only case is lower because the range of the \(\gamma \)-ray in the NaI(Tl) crystal is shorter than in the LS. Therefore, more \(\gamma \)-rays are stopped in the other crystals than in the LS. These estimated efficiencies are in agreement with measurements [7]. Accordingly, the \(^{40}\)K background level is reduced by as much as 80 % by requiring single-hit crystal events with no signal in the LS.
The \(^{210}\)Pb contribution is estimated by modeling the background from bulk \(^{210}\)Pb and surface \(^{210}\)Pb as discussed in Sect. 4.
External background sources
The external \(\gamma \) background from the radioactive isotopes in the surrounding rocks is shielded by the 20 cm-thick lead castle and the 3 cm-thick copper box. By using the full shielding structure with \(N_{2}\) gas flowing into the inside of the copper shield to avoid backgrounds from \(^{222}\)Rn in the air at Y2L (measured to be \(1.20\pm 0.49\) pCi/L [23]), we reduced the environmental background by a factor of 10,000 based on the measurements of a high-purity Ge (HPGe) detector, thus ensuring that those contributions are negligibly small.
Despite all the efforts to block backgrounds due to external sources, some backgrounds from radioactive contaminations in detector components inside the shielding are still expected, including from the PMTs, grease, copper case, bolts, cables, acrylic supports, liquid scintillator, copper box, and steel that supports the lead block housing. We simulated background spectra from those external sources to test their effects and compared the shapes of contributions to the crystals’ energy spectra. We found that all the spectra from these external sources are similar in shape and, thus, could be represented by a spectrum that is obtained by simulating \(^{238}\)U, \(^{232}\)Th, and \(^{40}\)K, distributed randomly in the volume outside the eight crystals. Because the PMTs are the main contributer to the external background we used two kinds of spectra for the external background modeling; one is the spectrum from the PMTs and another is the spectrum from the other external sources that is treated as a parameter floating in the fit. The radioactivity levels of the PMTs and PMT surrounding parts were measured underground with a HPGe detector and the results are listed in Table 2. We used the measured activities from the PMTs to constrain the data fitting and treated background contributions from the PMTs in nine groups as broken at the long-lived parts of the chain.
Treatment of cosmogenic radionuclides
Although the eight NaI(Tl) crystals had underground radioactivity cooling times that ranged from several months to three years, there are still background contributions due to the long-lived cosmogenic isotopes that were activated by cosmic rays while they were on the surface.
To consider these backgrounds, we first checked the list of cosmogenic radioactive isotopes that are produced in NaI(Tl), as reported in Refs. [24,25,26,27]. In Table 3a, we list the contributing cosmogenic isotopes with their half lives; short-lived isotopes, for which half lives are less than a year, are \(^{125}\)I, \(^{121}\)Te, \(^{121m}\)Te, \(^{123m}\)Te, \(^{125m}\)Te, \(^{127m}\)Te, and \(^{113}\)Sn and long-lived isotopes are \(^{109}\)Cd, \(^{3}\)H, and \(^{22}\)Na. The radioactivity cooling time at Y2L for each crystal at the time data-taking for COSINE-100 started, is listed in Table 3b. The short-lived isotopes are not expected to contribute to either Crystal-1 or Crystal-2 because their cooling times are long enough to reduce these activities to a negligible level.
Table 2 Radioactivity levels in detector components inside the shielding. (a) The radioactivities were measured with a HPGe detector at Y2L; upper limits are quoted with 90% C.L. The PMTs are measured in units of mBq/PMT and the other external sources are measured in units of mBq/kg (b) SEL means “selected for high quantum efficiency”
Table 3 Cosmogenic radionuclides in NaI(Tl) crystal (a) and exposure time and radioactivity cooling time at Y2L (b)
However, we expect some backgrounds from the short-lived isotopes in other crystals because their production rates at sea level, as listed in Table 3a, are high and their cooling times are less than or equal to a year. In addition, there are long-lived \(^{109}\)Cd, \(^{3}\)H, and \(^{22}\)Na nuclides that are potentially hazardous background sources; \({ e.g.}\), the beta-decay spectrum of tritium has an endpoint energy of 18 keV. We thus need to understand their background contributions in the low energy region, especially in the (2–6) keV WIMP signal region of interest (ROI). Because it is impossible to compute the initial activities of those isotopes from the production rates in each crystal at Y2L without knowing the cosmic ray exposure conditions: time, location, altitude, etc. [24], we investigated the correlation of characteristic peaks produced by \(\gamma \)/X-rays from the decay of cosmogenic isotopes.
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\(^{109}\)Cd decays by electron capture to the isomeric state of \(^{109}\)Ag depositing in the crystal the binding energy of the Ag K-shell electrons (25.5 keV), that will be accompanied by the 88 keV \(\gamma \) ray from the isomer transition of \(^{109}\)Ag having a mean time of 57.4 s. By using the timing information of two adjacent events that have each 25.5 keV and 88 keV, we measured the background contribution of \(^{109}\)Cd in Crystal-4 and found it to be 0.10±0.01 mBq/kg.
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\(^{22}\)Na decays via positron emission (90%) and electron capture (10%), followed by 1274.6 keV \(\gamma \)-ray emission with a mean lifetime of 3.8 yr. The electron capture decay produces 0.9 keV emissions. Therefore, \(\sim \)10% of the \(^{22}\)Na decay will produce 0.9 keV X-rays and 1274.6 keV \(\gamma \) rays simultaneously. Meanwhile, the positron will be converted to two 511 keV annihilation \(\gamma \) rays.
However, it is generally difficult to measure long-lived cosmogenics’ activities, such as those for \(^{3}\)H, directly from the data due to their long half-lives. Therefore, we simulated background spectra from cosmogenic isotopes listed in Table 3a and used their shapes in the data fitting, while floating their unknown fractions. The details of their treatment in the background model for each NaI(Tl) crystal are discussed in Sect. 4.