Search for Light Weakly-Interacting-Massive-Particle Dark Matter by Annual Modulation Analysis with a Point-Contact Germanium Detector at the China Jinping Underground Laboratory
L. T. Yang, H. B. Li, Q. Yue, H. Ma, K. J. Kang, Y. J. Li, H. T. Wong,, M. Agartioglu, H. P. An, J. P. Chang, J. H. Chen, Y. H. Chen, J. P. Cheng, Z., Deng, Q. Du, H. Gong, Q. J. Guo, L. He, J. W. Hu, Q. D. Hu, H. X. Huang, L., P. Jia, H. Jiang, H. Li, J. M. Li, J. Li, X. Li

TL;DR
This study uses a germanium detector at China Jinping Underground Laboratory to search for light WIMP dark matter via annual modulation, setting new limits and excluding certain parameter regions with high confidence.
Contribution
It provides the first annual modulation analysis for light WIMPs with a germanium detector at this scale, achieving the best sensitivity below 6 GeV/c^2.
Findings
Excluded DAMA/LIBRA and CoGeNT AM regions at >99.99% and 98% C.L.
Set new upper limits on WIMP-nucleus cross sections for masses below 6 GeV/c^2.
Achieved the most sensitive AM measurement for light WIMPs to date.
Abstract
We present results on light weakly interacting massive particle (WIMP) searches with annual modulation (AM) analysis on data from a 1-kg mass -type point-contact germanium detector of the CDEX-1B experiment at the China Jinping Underground Laboratory. Datasets with a total live time of 3.2 yr within a 4.2 yr span are analyzed with analysis threshold of 250 eVee. Limits on WIMP-nucleus (-) spin-independent cross sections as function of WIMP mass () at 90\% confidence level (C.L.) are derived using the dark matter halo model. Within the context of the standard halo model, the 90\% C.L. allowed regions implied by the DAMA/LIBRA and CoGeNT AM-based analysis are excluded at 99.99\% and 98\% C.L., respectively. These results correspond to the best sensitivity at 6 among WIMP AM measurements to date.
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Corresponding author. ][email protected]
Corresponding author. ][email protected]
CDEX Collaboration
Search for Light Weakly-Interacting-Massive-Particle Dark Matter by Annual Modulation Analysis with
a Point-Contact Germanium Detector at the China Jinping Underground Laboratory
L. T. Yang
Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
H. B. Li
Institute of Physics, Academia Sinica, Taipei 11529
Q. Yue
[
Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
H. Ma
[
Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
K. J. Kang
Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
Y. J. Li
Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
H. T. Wong
Institute of Physics, Academia Sinica, Taipei 11529
M. Agartioglu
Institute of Physics, Academia Sinica, Taipei 11529
Department of Physics, Dokuz Eylül University, İzmir 35160
H. P. An
Department of Physics, Tsinghua University, Beijing 100084
J. P. Chang
NUCTECH Company, Beijing 100084
J. H. Chen
Institute of Physics, Academia Sinica, Taipei 11529
Y. H. Chen
YaLong River Hydropower Development Company, Chengdu 610051
J. P. Cheng
Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
Z. Deng
Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
Q. Du
College of Physical Science and Technology, Sichuan University, Chengdu 610064
H. Gong
Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
Q. J. Guo
School of Physics, Peking University, Beijing 100871
L. He
NUCTECH Company, Beijing 100084
J. W. Hu
Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
Q. D. Hu
Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
H. X. Huang
Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
L. P. Jia
Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
H. Jiang
Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
H. Li
NUCTECH Company, Beijing 100084
J. M. Li
Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
J. Li
Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
X. Li
Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
X. Q. Li
School of Physics, Nankai University, Tianjin 300071
Y. L. Li
Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
B. Liao
College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
F. K. Lin
Institute of Physics, Academia Sinica, Taipei 11529
S. T. Lin
College of Physical Science and Technology, Sichuan University, Chengdu 610064
S. K. Liu
College of Physical Science and Technology, Sichuan University, Chengdu 610064
Y. D. Liu
College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
Y. Y. Liu
College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
Z. Z. Liu
Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
J. L. Ma
Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
Department of Physics, Tsinghua University, Beijing 100084
Y. C. Mao
School of Physics, Peking University, Beijing 100871
H. Pan
NUCTECH Company, Beijing 100084
J. Ren
Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
X. C. Ruan
Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
V. Sharma
Institute of Physics, Academia Sinica, Taipei 11529
Department of Physics, Banaras Hindu University, Varanasi 221005
Z. She
Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
M. B. Shen
YaLong River Hydropower Development Company, Chengdu 610051
L. Singh
Institute of Physics, Academia Sinica, Taipei 11529
Department of Physics, Banaras Hindu University, Varanasi 221005
M. K. Singh
Institute of Physics, Academia Sinica, Taipei 11529
Department of Physics, Banaras Hindu University, Varanasi 221005
T. X. Sun
College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
C. J. Tang
College of Physical Science and Technology, Sichuan University, Chengdu 610064
W. Y. Tang
Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
Y. Tian
Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
G. F. Wang
College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
J. M. Wang
YaLong River Hydropower Development Company, Chengdu 610051
L. Wang
Department of Physics, Beijing Normal University, Beijing 100875
Q. Wang
Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
Department of Physics, Tsinghua University, Beijing 100084
Y. Wang
Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
Department of Physics, Tsinghua University, Beijing 100084
Y. X. Wang
School of Physics, Peking University, Beijing 100871
S. Y. Wu
YaLong River Hydropower Development Company, Chengdu 610051
Y. C. Wu
Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
H. Y. Xing
College of Physical Science and Technology, Sichuan University, Chengdu 610064
Y. Xu
School of Physics, Nankai University, Tianjin 300071
T. Xue
Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
N. Yi
Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
C. X. Yu
School of Physics, Nankai University, Tianjin 300071
H. J. Yu
NUCTECH Company, Beijing 100084
J. F. Yue
YaLong River Hydropower Development Company, Chengdu 610051
X. H. Zeng
YaLong River Hydropower Development Company, Chengdu 610051
M. Zeng
Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
Z. Zeng
Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
F. S. Zhang
College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
Y. H. Zhang
YaLong River Hydropower Development Company, Chengdu 610051
M. G. Zhao
School of Physics, Nankai University, Tianjin 300071
J. F. Zhou
YaLong River Hydropower Development Company, Chengdu 610051
Z. Y. Zhou
Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
J. J. Zhu
College of Physical Science and Technology, Sichuan University, Chengdu 610064
Z. H. Zhu
YaLong River Hydropower Development Company, Chengdu 610051
Abstract
We present results on light weakly interacting massive particle (WIMP) searches with annual modulation (AM) analysis on data from a 1-kg mass -type point-contact germanium detector of the CDEX-1B experiment at the China Jinping Underground Laboratory. Datasets with a total live time of 3.2 yr within a 4.2 yr span are analyzed with analysis threshold of 250 eVee. Limits on WIMP-nucleus (-) spin-independent cross sections as function of WIMP mass () at 90% confidence level (C.L.) are derived using the dark matter halo model. Within the context of the standard halo model, the 90% C.L. allowed regions implied by the DAMA/LIBRA and CoGeNT AM-based analysis are excluded at 99.99% and 98% C.L., respectively. These results correspond to the best sensitivity at m_{\chi}$$<6 among WIMP AM measurements to date.
PACS numbers
95.35.+d, 29.40.-n, 98.70.Vc
††preprint: APS/123-QED
Compelling cosmological evidence indicates that about one-quarter of the energy density of the Universe manifests as dark matter Tanabashi et al. (2018), a favored candidate of which is the weakly interacting massive particle (WIMP, denoted as ). In direct laboratory searches of WIMPs conducted with WIMP-nucleus (-) elastic scattering, positive evidence of WIMPs can only be established by assuming detailed knowledge of the background. The annual modulation (AM) analysis, on the other hand, only requires the background at the relevant energy range is stable with time. It can provide smoking-gun signatures for WIMPs independent of background modeling. Within the astrophysical dark matter halo model Drukier et al. (1986), the expected - rates have distinctive AM features with maximum intensity in June and a period of 1 yr due to the Earth’s motion relative to the galaxy dark matter distribution.
Positive results were concluded at significance of 12.9 and 2.2 from AM-based analysis of DAMA/LIBRA Bernabei et al. (2010, 2013, 2018) and CoGeNT Aalseth et al. (2011, 2013, 2014) experiments, respectively. However, these interpretations are challenged by integrated rate experiments with liquid xenon Aprile et al. (2018); Akerib et al. (2017); Cui et al. (2017), cryogenic bolometer Agnese et al. (2014, 2016); Angloher et al. (2016) and ionization germanium Zhao et al. (2013); Yue et al. (2014); Zhao et al. (2016); Yang et al. (2018a); Jiang et al. (2018) detectors, when the data were analyzed in certain scenarios where the dark matter particle properties and distributions in the Milky Way’s halo are precisely defined. Comparison of AM data with differnet targets is also model dependent. The AM-allowed regions of DAMA/LIBRA and CoGeNT have been probed and excluded by AM analysis from the XMASS-1 experiment Abe et al. (2018); Kobayashi et al. (2019), which is limited by the diminishing sensitivities of the liquid xenon techniques at light WIMP masses () below 6. The ANAIS-112 Amaré et al. (2019) and COSINE-100 Adhikari et al. (2019) experiments aim to resolve this tension by a model-independent test of DAMA/LIBRA’s observation using identical detector target materials. Their latest results are consistent with both the null hypothesis and DAMA/LIBRA’s 26 keV best-fit value, but at poor confidence levels due to the limited 1.5 yr and 1.7 yr data. The CDEX experiment, located in the China Jinping Underground Laboratory (CJPL) with about 2400 m of rock overburden Cheng et al. (2017), utilizes -type point contact germanium detectors (PPCGe) Luke et al. (1989); Barbeau et al. (2007); Soma et al. (2016) for dark matter direct detection. The low analysis threshold of about 200 eVee (“eVee” represents electron equivalent energy derived from calibrations with known cosmogenic x-ray peaks) Zhao et al. (2013); Yue et al. (2014); Zhao et al. (2016); Yang et al. (2018a); Jiang et al. (2018) implies AM studies with germanium can complement the liquid xenon results. It provides an alternative probe to the allowed parameter space of DAMA/LIBRA Bernabei et al. (2010, 2013) (with model dependence due to different target isotopes) and CoGeNT Aalseth et al. (2014) (with a model-independent comparison, since both use germanium as target) and extends the reach of AM test to lower .
The CDEX-1B experiment is the second phase of the CDEX experiment and has previously set upper limits for spin-independent (SI) and spin-dependent cross sections by the - recoil spectral analysis Yang et al. (2018a). The PPCGe target of mass 1 kg (fiducial mass of 939 g, after corrections due to a 0.880.12 mm surface layer) was shielded, from inside out, with 20 cm of copper, 20 cm of borated polyethylene and 20 cm of lead. The whole setup was assembled inside a 6 m ()8 m ()4 m () polyethylene room with wall thickness of 1 m. The target was enclosed by an NaI(Tl) anti-Compton detector from September 27, 2014 to August 2, 2017 (Run 1), and subsequently without NaI(Tl) (replaced by passive copper shielding) from August 4, 2017 till December 2, 2018 (Run 2). The gaps from December 27, 2014 to March 8, 2015 and from March 16, 2016 to June 2, 2016 were due to calibration with neutron and gamma-ray sources, respectively. The two runs have 751.3 and 428.1 live days, respectively, and together span a total of 1527 calendar days (4.2 yr), with the total exposure of 1107.5 kg d. The Run 1 events were further categorized by corresponding to those without(with) coincidence of NaI(Tl) signals. Candidate - events were therefore in Run 1 and all triggered ones in Run 2, which will also be denoted with in the following text for convenient purpose. The energy calibration during the running period was achieved using the low energy internal x-rays from the cosmogenic nuclides inside the germanium crystal, also showing good stabilities. The nuclear recoil spectral analysis of Run 1 Yang et al. (2018a) achieved an analysis threshold of 160 eVee, limited by the pedestal of the electronic noise. For AM analysis, good stability of contaminations due to electronic noise is required. Accordingly, a conservative analysis threshold of 250 eVee away from the pedestal noise edge is adopted, such that both the physics event selection efficiency and trigger efficiency are 100%.
At the keVee energy range relevant to this analysis, background events are dominated by Compton scattering of high energy gamma rays and by internal radioactivity from cosmogenic long-lived isotopes, the time variations of which have to be checked and accounted for. The time evolutions of radon contamination show good stabilities by the combined intensities of several radon-related lines (295.2 and 351.9 keV from 214Pb, the daughter of 222Rn). The stabilities of the relevant background at the low energy are demonstrated in Fig. 1(a), with the count rates at 2040 and 2.04.0 keVee both for and . Time is denoted as the number of days since January 1, 2014. It can be seen from the displayed (degrees of freedom) and values that the low energy background count rates are stable within the data taking periods.
The 4.2 yr of CDEX-1B data are separated into 35 subdatasets in different time bins, each with about 1 month of live time. WIMP candidate events in the bulk of the detector are selected Yang et al. (2018a) via some basic cuts and the bulk or surface (B/S) events discrimination. The B/S correction procedure is done by likelihood fitting of the bulk or surface rise-time distribution probability density functions (PDFs) and has no cut efficiency associated, as described in details in Refs. Yang et al. (2018a, b). During the B/S procedure, each subdataset was treated independently with its distinct calibration parameters. The inputs of B/S procedure include (i) events in corresponding subdataset; (ii) summation of in the rest of subdatasets; (iii) all in Run 1; and (iv) three calibration samples (60Co, 137Cs, 241Am), while 241Am is a pure surface source and can supply the constrain to surface PDFs. Systematic uncertainties related to the B/S correction are adopted from Ref. Yang et al. (2018a) and are combined quadratically. The B/S corrections are stable within data taking periods, as checked by the stability of a few control parameters such as rise-time PDFs of background data, the counts of bulk and surface events.
The only requirement for AM analysis is to have stable background with time. The modeling of their origins and spectral shapes, which are sources of uncertainties in the time-integrated spectral analysis, is not involved. Stability of - candidate events with time is further demonstrated in Fig. 1(b) with the bulk event count rates after B/S correction at three energy ranges which are most relevant to the sensitivities at m_{\chi}$$\sim8 . The data at low energies show slight time-dependent features. However, those features are not universal to all energy ranges. Based on the physical understanding on the background components, we adopted a scenario of the time-independent background contribution plus an exponentially time-dependent background contribution from the -shell x rays from cosmogenic isotopes, which is not fitted, but derived from the corresponding -shell lines intensities behavior. The expected time dependence due to the cosmogenic origin background contributions was observed. It dominated the background in energy ranges of 1.01.4 keVee, especially in Run 1. The time-independent background levels of every energy bin were taken as free parameters and were uncorrelated between Run 1 and Run 2 due to the different shielding configurations. The unmodulated - rates were treated as a component of the constant background in AM analysis.
Data at 0.255.8 keVee were analyzed, below the region of internal -shell x rays. The selected energy bin sizes are 50, 100, and 200 eVee for measured energy at 0.8, 0.81.6, and 1.8 keVee, respectively, according to the requirements of statistical accuracy in B/S correction. The corrected counts of bulk events are denoted by corresponding to the respective bin with = (energy, time, run). There are in total energy bins, with 35 time bins divided into runs ( time bins for , time bins for ) in this analysis. For each of the th energy bin, a minimum analysis was performed simultaneously, with
[TABLE]
where and are, respectively, the modulation phase and period. The period is fixed at 365.25 d (one yr) for all scenarios, whereas the phase is either taken as free parameter or fixed at 152.5 d as expected from the standard halo model. is the time-varying background contributions of the -shell x rays from cosmogenic long-lived isotopes such as 68Ge, 68Ga and 65Zn, the intensities of which are fixed by the measured shell x rays at 8.510.8 keV, is the background level, in which we adopted a time-independent background scenario, and are the combined statistical and systematic errors dominated by the B/S correction Yang et al. (2018a). The modulation amplitude is fixed to 0 for the null hypothesis and left unconstrained (positive or negative) for the modulation hypothesis. Summation is performed over all of the th time bins each at median time and the th run.
The data are first studied with a model-independent analysis without invoking astrophysical models and parameters, i.e., model independently, with the phase fixed at the halo-model expectation value of 152.5 d. The modulation amplitudes of individual energy bins (th) are treated independently, from which the best-fit results with are shown in Fig. 2. The distribution of is consistent with null results, showing no evidence of modulation behavior. These are contradicted with modulation amplitudes implied by the 90% confidence level (C.L.) allowed region of CoGeNT Aalseth et al. (2014) at value0.005. The null hypothesis test gave a . The difference in between null hypothesis and independent-amplitude analysis is within -distribution of of 40 (number of ) at value=0.14.
For the model-dependent analysis, the individual are correlated with a known function () of and - cross section, while the function is related to the applied astrophysics models. The data are then analyzed under the standard spherical isothermal galactic halo model Freese et al. (2013); Drukier et al. (1986), with a most probable speed of km/s, a galactic escape velocity of km/s Smith et al. (2007), an Earth’s velocity related to dark matter of km/s and local dark matter density of 0.3 Lewin et al. (1996); Donato et al. (1998). The period and phase are fixed at 365.25 and 152.5 d, respectively. Quenching factor of Ge is derived by the TRIM software package Lin et al. (2009); Ziegler et al. (2004); Soma et al. (2016) with a 10% systematic error adopted for the analysis Zhao et al. (2016). Possible dark matter contributions which are not time varying are incorporated as part of . The AM amplitudes are calculated by integration of with mean energy of the bin and bin size , that is, , where denotes SI - cross section as function of . Best-fit values of are then evaluated by minimizing of Eq. (1). The unified approach Feldman and Cousins (1998) is then used to place the upper bounds of positive definite at different .
At =7.9 , the central value of of CoGeNT’s 90% C.L. allowed region Aalseth et al. (2014), the best-fit solution is (), or equivalently, at 90% C.L. The upper limits at 90% C.L. on are derived and shown in Fig. 3. The results refute the 90% C.L. allowed regions inferred from AM-based analysis of DAMA/LIBRA-phase1 low- (Na-recoil) Savage et al. (2009); Bernabei et al. (2010, 2013) and CoGeNT Aalseth et al. (2014) experiments, providing an exclusion at 99.99% and 98% C.L., respectively. The DAMA/LIBRA high- region (I-recoil) is not probed in this analysis.
Systematic uncertainties on time-dependent background assumption are assessed by replacing constant backgrounds with linear functions, resulting in at most 3.4% deviation of the upper bound and best fit of for ranging from 2 to 20 GeV. The B/S discrimination contributes less than 8% deviation of and the uncertainty of ratios Bahcall (1963) is also incorporated in the systematic uncertainty budget.
The analysis is extended by taking the modulation phase as a free parameter, and the exclusion contours of the best-fit results on at =7.9 are depicted in Fig. 4, superimposed with the best-fit result from CoGeNT Aalseth et al. (2013, 2014) at the same and the phase in halo model. The data exclude CoGeNT’s 90% C.L. allowed region at its best-fit phase of d Aalseth et al. (2014) and the halo model at fixed at 93% and 98% C.L., respectively. The analysis at in the range 3.217 indicates that the data are consistent with the null hypothesis within 1- ( value0.32) at the entire range of from 0 to .
The CDEX-1B experiment provided unique low threshold (250 eVee) and stable (3.2 yr of live time) data for sensitive AM analysis results without energy-dependent background model assumptions. The CDEX dark matter program continues taking data at CJPL, expanding to use Ge-detector arrays immersed in liquid nitrogen acting as cryogenic coolant and shield against ambient radioactivity Jiang et al. (2018). R&D efforts on the Ge-detector fabrication, and further radiation background reduction, are being pursued. Scaled-up experiment toward target mass of 100 kg is being prepared at CJPL-II Cheng et al. (2017).
This work was supported by the National Key Research and Development Program of China (Grant No. 2017YFA0402201) and the National Natural Science Foundation of China (Grants No. 11475092, No. 11475099, No. 11505101, No. 11675088, and No. 11725522), the Tsinghua University Initiative Scientific Research Program (Grant No. 20197050007), and the Academia Sinica Principal Investigator Award No. AS-IA-106-M02.
L. T. Y. and H. B. L. contributed equally to this work. The authors of affiliations 2, 3 and 12 participated as members of TEXONO Collaboration.
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