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. 2022;82(7):599.
doi: 10.1140/epjc/s10052-022-10345-6. Epub 2022 Jul 8.

Material radiopurity control in the XENONnT experiment

E Aprile  1 K Abe  2 F Agostini  3 S Ahmed Maouloud  4 M Alfonsi  5 L Althueser  6 E Angelino  7 J R Angevaare  8 V C Antochi  9 D Antón Martin  10 F Arneodo  11 L Baudis  12 A L Baxter  13 L Bellagamba  3 R Biondi  14 A Bismark  12 A Brown  15 S Bruenner  8   16 G Bruno  11   17 R Budnik  18 C Capelli  12 J M R Cardoso  19 D Cichon  16 B Cimmino  20 M Clark  13 A P Colijn  8   21 J Conrad  9 J J Cuenca-García  22 J P Cussonneau  17 V D'Andrea  14   23 M P Decowski  8 P Di Gangi  3 S Di Pede  8 A Di Giovanni  11 R Di Stefano  20 S Diglio  17 A Elykov  15 S Farrell  24 A D Ferella  14   23 H Fischer  15 W Fulgione  7   14 P Gaemers  8 R Gaior  4 M Galloway  12 F Gao  25 R Glade-Beucke  15 L Grandi  10 J Grigat  15 A Higuera  24 C Hils  5 K Hiraide  2 L Hoetzsch  16 J Howlett  1 M Iacovacci  20 Y Itow  26 J Jakob  6 F Joerg  16 N Kato  2 P Kavrigin  18 S Kazama  26   27 M Kobayashi  1   26 G Koltman  18 A Kopec  13 H Landsman  18 R F Lang  13 L Levinson  18 I Li  24 S Liang  24 S Lindemann  15 M Lindner  16 K Liu  25 F Lombardi  5   19 J Long  10 J A M Lopes  19   28 Y Ma  29 C Macolino  14   23 J Mahlstedt  9 A Mancuso  3 L Manenti  11 A Manfredini  12 F Marignetti  20 T Marrodán Undagoitia  16 K Martens  2 J Masbou  17 D Masson  15 E Masson  4   30 S Mastroianni  20 M Messina  14 K Miuchi  31 K Mizukoshi  31 A Molinario  14 S Moriyama  2 K Morå  1 Y Mosbacher  18 M Murra  6 K Ni  29 U Oberlack  5 J Palacio  16 R Peres  12 J Pienaar  10 M Pierre  17 V Pizzella  16 G Plante  1 J Qi  29 J Qin  13 D Ramírez García  15 S Reichard  12   22 A Rocchetti  15 N Rupp  16 L Sanchez  24 J M F Dos Santos  19 G Sartorelli  3 J Schreiner  16 D Schulte  6 H Schulze Eißing  6 M Schumann  15 L Scotto Lavina  4 M Selvi  3 F Semeria  3 P Shagin  5   24 E Shockley  29 M Silva  19 H Simgen  16 A Takeda  2 P L Tan  9 A Terliuk  16 C Therreau  17 D Thers  17 F Toschi  15 G Trinchero  7 C Tunnell  24 F Tönnies  15 K Valerius  22 G Volta  12 Y Wei  29 C Weinheimer  6 M Weiss  18 D Wenz  5 J Westermann  16 C Wittweg  6 T Wolf  16 Z Xu  1 M Yamashita  2 L Yang  29 J Ye  1 L Yuan  10 G Zavattini  3   32 Y Zhang  1 M Zhong  29 T Zhu  1 J P Zopounidis  4 XENON CollaborationM Laubenstein  14 S Nisi  14
Affiliations

Material radiopurity control in the XENONnT experiment

E Aprile et al. Eur Phys J C Part Fields. 2022.

Abstract

The selection of low-radioactive construction materials is of the utmost importance for rare-event searches and thus critical to the XENONnT experiment. Results of an extensive radioassay program are reported, in which material samples have been screened with gamma-ray spectroscopy, mass spectrometry, and 222 Rn emanation measurements. Furthermore, the cleanliness procedures applied to remove or mitigate surface contamination of detector materials are described. Screening results, used as inputs for a XENONnT Monte Carlo simulation, predict a reduction of materials background ( 17%) with respect to its predecessor XENON1T. Through radon emanation measurements, the expected 222 Rn activity concentration in XENONnT is determined to be 4.2 ( - 0.7 + 0.5 ) μ Bq/kg, a factor three lower with respect to XENON1T. This radon concentration will be further suppressed by means of the novel radon distillation system.

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Figures

Fig. 1
Fig. 1
(left) Render of the XENONnT cryostat and TPC, including the most relevant components investigated during the screening campaign. (right) The cryostat is surrounded by the neutron veto and muon veto which serve as shielding for background reduction. The U-Tubes, Guide Pipe, Beam Pipe, and I-belt are part of the calibration subsystem
Fig. 2
Fig. 2
Schematic drawing of the xenon handling system and the TPC of XENONnT. The circulation of xenon through the purification systems is indicated with orange (GXe) and blue (LXe) flow lines
Fig. 3
Fig. 3
The different subsystem contributions to the overall 222Rn emanation rate in XENONnT, adding up to 35.7 (-5.9+4.5) mBq. The colors correspond to the scheme used in Fig. 2. Only central values from Table 6 in this work and Figure 2 in [10] have been used. The radon emanation from the Rn-DST system is not taken into account
Fig. 4
Fig. 4
The UG-CR (ISO 6 class) is built around the cryostat in the center of the water tank. Filtered air is flushed first into the cleanroom in the center and is pushed thereafter through the water tank into the grey area, providing a sequence of decreasing cleanliness levels toward ambient air
Fig. 5
Fig. 5
Calculated radon emanation rate after background subtraction of a 3 m2 large PTFE foil before and after a 105 d exposure to ambient air with a radon concentration of 130Bq/m3. The initial emanation rate was not reached again after wiping the sample with acetone-soaked cleanroom wipes.

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