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3,221 results on '"Qi J"'

1. Quzhou Aurantii Fructus Flavonoids Ameliorate Inflammatory Responses, Intestinal Barrier Dysfunction in DSS-Induced Colitis by Modulating PI3K/AKT Signaling Pathway and Gut Microbiome

Author

Wang H, Huang W, Pan X, Tian M, Chen J, Liu X, Li Q, Qi J, Ye Y, and Gao L

Subjects
quzhou aurantii fructus flavonoids, ulcerative colitis, inflammation, gut microbiota, pi3k/akt, fecal microbiota transplantation, Pathology, RB1-214, Therapeutics. Pharmacology, RM1-950
Abstract

Haiou Wang,1 Wenkang Huang,1 Xiaoya Pan,1 Meizi Tian,1 Jiahui Chen,1 Xiaotong Liu,1 Qin Li,1 Jianhua Qi,2 Yiping Ye,1 Lijuan Gao1 1School of Pharmacy, Hangzhou Medical College, Hangzhou, 310013, People’s Republic of China; 2College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, People’s Republic of ChinaCorrespondence: Lijuan Gao; Yiping Ye, Hangzhou Medical College, 182 Tianmushan Road, Hangzhou, Zhejiang, 310013, People’s Republic of China, Email gaolijuan04141002@126.com; yeyiping2005@163.comPurpose: To explore the protective effect and underlying mechanism of Quzhou Aurantii Fructus flavonoids (QAFF) on Ulcerative colitis (UC).Methods: The constituents of QAFF were accurately determined by ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). The therapeutic impacts of QAFF were assessed in dextran sulfate sodium (DSS)-induced UC mice, focusing on the changes in body weight, disease activity index (DAI), colon length, histological assessment of colonic tissues, levels of pro-inflammatory cytokines, and expression of tight junction proteins. Western blotting confirmed key regulatory proteins within the differential signaling pathways, guided by transcriptome analysis. Additionally, the influence of QAFF on the gut microbiome was explored through 16S ribosomal RNA (rRNA) sequencing. The alterations in endogenous metabolites were detected by untargeted metabolomics, and their potential correlation with intestinal flora was then examined utilizing Spearman correlation analysis. Subsequently, the regulation of gut microbiome by QAFF was validated by fecal microbiota transplantation (FMT).Results: Eleven flavonoids, including Naringin and hesperidin, were initially identified from QAFF. In vivo experiments demonstrated that QAFF effectively ameliorated colitis symptoms, reduced IL-6, IL-1β, and TNF-α levels, enhanced intestinal barrier integrity, and downregulated PI3K/AKT pathway activation. Furthermore, QAFF elevated the levels of beneficial bacteria like Lachnospiraceae_NK4A136_group and Alloprevotella and concurrently reduced the pathogenic bacteria such as Escherichia-Shigella, [Eubacterium]_siraeum_group, and Parabacteroides. Metabolomics analysis revealed that 34 endogenous metabolites exhibited significant alterations, predominantly associated with Glycerophospholipid metabolism. These metabolites were significantly correlated with those differential bacteria modulated by QAFF. Lastly, the administration of QAFF via FMT ameliorated the colitis symptoms.Conclusion: QAFF could ameliorate inflammatory responses and intestinal barrier dysfunction in DSS-induced UC mice probably by modulating the PI3K/AKT signaling pathway and gut microbiome, offering promising evidence for the therapeutic potential of QAFF in UC treatment. Keywords: Quzhou Aurantii Fructus flavonoids, Ulcerative colitis, inflammation, Gut microbiota, PI3K/AKT, Fecal microbiota transplantation

Published
2025

2. Bioinformatics-Based Exploration of the Ability of Ginkgetin to Alleviate the Senescence of Cardiomyocytes After Myocardial Infarction and Its Cardioprotective Effects

Author

Li H, Wei D, Cao H, Han Y, Li L, Liu Y, Qi J, Wu X, and Zhang Z

Subjects
myocardial infarction, ginkgetin, senescence-associated secretory phenotype, immune infiltration, tcr signaling pathway, Pathology, RB1-214, Therapeutics. Pharmacology, RM1-950
Abstract

Han Li,1,* Dongsheng Wei,2,* Huimin Cao,2 Yelei Han,1 Luzhen Li,1 Yuting Liu,1 Jiajie Qi,1 Xinyue Wu,1 Zhe Zhang2,3 1The First School of Clinical Medicine, Liaoning University of Traditional Chinese Medicine, Shenyang, 110847, People’s Republic of China; 2Key Laboratory of Ministry of Education for TCM Viscera-State Theory and Applications, Liaoning University of Traditional Chinese Medicine, Shenyang, 110847, People’s Republic of China; 3Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, Shenyang, 110032, People’s Republic of China*These authors contributed equally to this workCorrespondence: Zhe Zhang, Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, No. 33 Beiling Street, Shenyang, 110032, People’s Republic of China, Tel +86-18102459155, Email pedtrainzhzh7676@163.comPurpose: Myocardial infarction (MI) is a prevalent cardiovascular disorder affecting individuals worldwide. There is a need to identify more effective therapeutic agents to minimize cardiomyocyte damage and enhance cardioprotection. Ginkgo biloba extract is extensively used to treat neurological disorders and peripheral vascular diseases. The aim of this study was to determine the protective effects and mechanisms of ginkgetin on postinfarction cardiomyocytes through bioinformatics and experimental validation.Methods: Bioinformatics analysis was performed to predict the underlying biological mechanisms of ginkgetin in the treatment of MI. Next, we performed further validation through experiments. For in vivo studies, we used coronary ligation to construct an MI rat model. In vitro, oxygen and glucose deprivation (OGD) was performed to simulate ischemia in H9c2 cardiomyocytes.Results: Bioinformatics analysis revealed that the key targets of ginkgetin for MI treatment were MMP2, MMP9, and VEGFA. Immune infiltration analysis revealed that ginkgetin might be involved in immune regulation by acting on the TCR signaling pathway. The results of the GO enrichment analysis revealed that ginkgetin might protect the heart by acting on the cell membrane to alleviate the senescent apoptosis of cardiomyocytes after MI. In vivo studies revealed that ginkgetin ameliorated myocardial pathological damage and cardiac decompensation after MI. It also alleviated the inflammatory infiltration and senescent apoptosis of cardiomyocytes after MI. Additionally, ginkgetin can downregulate the activation signals of the TCR signaling pathway by dephosphorylating CD3 and CD28. In vitro studies revealed that ginkgetin attenuated elevated OGD-induced cytotoxicity, increased cell viability, and alleviated OGD-induced senescent apoptosis, thus protecting cardiomyocytes.Conclusion: Ginkgetin inhibits postinfarction myocardial fibrosis and cardiomyocyte hypertrophy, scavenges oxygen free radicals, decreases postinfarction limbic cell inflammatory infiltration, suppresses activation of the inflammatory-immune pathway, and delays postinfarction peripheral cells from undergoing senescent apoptosis, thus protecting the heart. Keywords: myocardial infarction, ginkgetin, senescence-associated secretory phenotype, immune infiltration, TCR signaling pathway

Published
2025

3. Antimicrobial and Remineralization of Carboxymethyl Chitosan and Xylitol Functionalized Carbon Dots Coating on Orthodontic Brackets

Author

Liu J, Qi J, Li J, Zhang T, Ren J, Zhang Z, Ning X, Zhang R, Liu X, Li B, and Wu X

Subjects
carbon dots, coating, antibacterial, remineralization, orthodontic brackets, Medicine (General), R5-920
Abstract

Jinrong Liu,&ast; Jin Qi,&ast; Jiadi Li,&ast; Tong Zhang, Jianing Ren, Zheyuan Zhang, Xiao Ning, Ran Zhang, Xiaoming Liu, Bing Li, Xiuping Wu Shanxi Medical University School and Hospital of Stomatology; Shanxi Province Key Laboratory of Oral Diseases Prevention and New Materials, Taiyuan, Shanxi, 030001, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Bing Li; Xiuping Wu, Shanxi Medical University School and Hospital of Stomatology, Taiyuan, Shanxi, 030001, People’s Republic of China, Email libing-1975@163.com; wxp1666@sxmu.edu.cnPurpose: During fixed orthodontic treatment, oral hygiene is difficult to ensure and can easily lead to an imbalance in the oral micro-ecological balance. In this study, based on the adhesive properties of polydopamine (PDA) and the good antimicrobial and remineralization properties of carboxymethyl chitosan (CMC) and xylitol (Xy), new nanocomposites with both antimicrobial and remineralization capabilities were prepared to coat on orthodontic brackets.Methods: Composite carbon dots (CDs) were synthesized using carboxymethyl chitosan and xylitol, we characterized them and the antimicrobial properties of the CMC-Xy-CDs were investigated by co-cultivation with S. mutans in vitro and in vivo. The composite coating was then adhered to the brackets. After the characterization measurements, antibacterial properties against S. mutans and the ability to promote remineralization of isolated teeth were investigated.Results: Biological studies demonstrated that L929 cells co-cultured with CMC-Xy-CDs did not observe significant cytotoxicity and CMC-Xy-CDs have good biocompatibility. In the adhesive action of PDA, various characterizations have proved that CDs are modified on the brackets surface. In the antibacterial experiment, CMC-Xy-CDs and the adhesive coating on the brackets were found to have better antibacterial performance than the control group, with an antibacterial rate of up to 80%. In the animal experiment, the results of CMC-Xy-CDs promoting the healing of S. mutans infection wound models showed that there was a significant difference at 7d (P < 0.001), indicating that the experimental group had good antibacterial effects. The SEM of teeth after CMC-Xy-CDs promoted remineralization showed that the structure of the tooth surface became dense and some precipitation appeared, and the surface hardness measurement was significantly increased (p< 0.0001).Conclusion: Our study revealed that new nanocomposites with both antimicrobial and remineralization capabilities coated on orthodontic brackets provide a good basis for future clinical applications.Keywords: carbon dots, coating, antibacterial, remineralization, orthodontic brackets

Published
2024

4. Effects of Blood Flow Restriction Combined with Aerobic Stepping Exercise in Sarcopenia: A Study Protocol for a Randomized Clinical Trial

Author

Zhang H, Li M, Mao Z, Yin T, Qi J, Wang F, and Wang L

Subjects
blood flow restriction, aerobic exercise, sarcopenia, muscular fitness, cardiorespiratory fitness, Medicine (General), R5-920
Abstract

Hui Zhang,1,2 Mengli Li,3 Zhiyu Mao,2 Tongtong Yin,2 Jiaying Qi,2 Fangfang Wang,2 Li Wang2 1School of Nursing, Suzhou Vocational Health College, Suzhou, Jiangsu, 215009, People’s Republic of China; 2School of Nursing, Suzhou Medical College of Soochow University, Suzhou, Jiangsu, 215006, People’s Republic of China; 3School of Nursing, The Hong Kong Polytechnic University, Hong Kong, People’s Republic of ChinaCorrespondence: Li Wang, School of Nursing, Suzhou Medical College of Soochow University, No. 1 Shizi Street, Suzhou, Jiangsu, 215006, People’s Republic of China, Tel +86-512-6522-1499, Fax +86-512-6512-5097, Email li-wang-1@suda.edu.cnBackground: Blood flow restriction training (BFRT) can produce effects similar to high-intensity exercise at lower intensities, making it a potentially more suitable method for older adults with sarcopenia. This study aims to determine the efficacy of the intervention on improving physical fitness in older adults with sarcopenia when blood flow restriction (BFR) and aerobic exercise (AE) are combined (BFR-AE) and to explore the related metabolic and signaling mechanisms.Methods: This is a three-arm, parallel, randomized controlled trial. A total of 171 participants, aged 60 to 90 years, with sarcopenia will be randomly assigned (1:1:1) into one of three groups: a control group, an AE group, and a BFR-AE group. The participants in the control group will maintain their usual diet and activity habits. Those in the AE and BFR-AE groups will undergo a 12-week program of AE and BFR-AE respectively. The primary outcomes will include two long-term indicators: the 6-minutes walking test and 30-s chair stand test. Secondary outcomes will include additional long-term measures (eg, appendicular skeletal muscle mass index, handgrip strength, five-time chair stand test, lower extremity knee extensor and flexor muscle strength, sleep quality, emotion status, serum metabonomic and signal proteins), as well as instantaneous indicators (eg, blood pressure, heart rate, saturation of pulse oxygen, rating of perceived exertion, pain score and blood lactate concentration), adherence to exercise, and adverse events. Outcomes will be assessed at one of or all the time points of baseline, 12 and 24 weeks.Discussion: It is expected that, after 12 weeks of intervention, both exercise groups will show improvements in cardiorespiratory and muscular fitness, with the BFR-AE group demonstrating greater benefits than the AE group alone.Keywords: blood flow restriction, aerobic exercise, sarcopenia, muscular fitness, cardiorespiratory fitness

Published
2024

5. The Optimal Cut-off Value of Upper Arm Circumference and Calf Circumference for Assessing Sarcopenia Among Chinese Community-Dwelling Older Adults

Author

Li M, Yin T, Qi J, Shi M, Wang F, Mao Z, Zhang H, and Wang L

Subjects
sarcopenia, upper arm circumference, calf circumference, health assessment, Geriatrics, RC952-954.6
Abstract

Mengli Li,1,&ast; Tongtong Yin,1,&ast; Jiaying Qi,1 Minhao Shi,1 Fangfang Wang,1 Zhiyu Mao,1 Hui Zhang,1,2 Li Wang1 1School of Nursing, Suzhou Medical College of Soochow University, Suzhou, Jiangsu, People’s Republic of China; 2School of Nursing, Suzhou Vocational Health College, Suzhou, Jiangsu, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Li Wang; Hui Zhang, Email li-wang-1@suda.edu.cn; zhanghuichange@sina.comObjective: To explore the cut-off values and health evaluations of upper arm circumference (AC) and calf circumference (CC) on sarcopenia in Chinese community-dwelling older people.Methods: In this cross-sectional study, AC, CC, handgrip strength, muscle mass and gait speed were measured in 1537 Chinese community-dwelling older people in Sub-study 1. Correlation analysis, receiver operator characteristic curve (ROC curve) analysis, and consistency analysis were used for determination of AC and CC cut-off values for sarcopenia diagnosis (sarcopenia-AC and CC). Thereafter, 269 participants accepted additional assessments on physical function, body composition and muscle strength in Sub-study 2. T-test or Mann-Whitney U-test was used to explore the differential effects of sarcopenia-AC and CC on health indicators between sarcopenic and non-sarcopenic participants.Results: In Sub-study 1, the Area Under ROC (AUC) of AC and CC for sarcopenia screening were greater than 0.700 (P< 0.05). The cut-off values, sensitivity and specificity of AC and CC on sarcopenia in males were 25.9 cm (86.0%, 83.6%) and 33.7 cm (90.7%, 81.4%) whereas in females were 26.5 cm (70.8%, 69.7%) and 33.0 cm (86.5%, 69.4%), respectively. In Sub-study 2, the participants with sarcopenia-AC or sarcopenia-CC showed lower muscle strength and lower fat and muscle mass than the ones without (P< 0.05). Additionally, males instead of females with sarcopenia-AC or sarcopenia-CC showed worse performance in time-up and go test and 6-Minute Walk Test (P< 0.05). However, the 30-second chair stand test was not different between participants with and without sarcopenia-AC or sarcopenia-CC in both sexes.Conclusion: We found accurate and Chinese population targeted cut-off values of AC and CC on sarcopenia diagnosis (25.9 cm and 33.7 cm in males; 26.5 cm and 33.0 cm in females) and a good evaluation effect of AC and CC on fat and muscle mass, muscle strength and physical functions in males, not females.Keywords: sarcopenia, upper arm circumference, calf circumference, health assessment

Published
2024

6. Combining Traditional Chinese Herbs and csDMARDs for the Treatment of Rheumatoid Arthritis Involves Tapering and Discontinuing Glucocorticoids: Protocol for a Two-Stage Non-Randomized Controlled Trial

Author

Wang X, Yang X, Wang S, Tian X, Yin J, Liu N, Di P, Qi J, Li Y, Chen J, Wu Y, Wu J, Zhao W, Peng J, Zhang L, and Gu L

Subjects
rheumatoid arthritis, glucocorticoids tapering, clinical trial, traditional chinese medicine, yupingfeng guizhi decoction, juanbi decoction, Medicine (General), R5-920
Abstract

Xingqiang Wang,1,2,&ast; Xianna Yang,3,&ast; Shiqi Wang,3,&ast; Xiaofang Tian,1 Jianmei Yin,3 Nian Liu,3 Pengtao Di,1 Jipeng Qi,3 Ya Li,3 Jimin Chen,3,4 Yang Wu,1 Jingjin Wu,1,2 Weiqing Zhao,5 Jiangyun Peng,1,2 Ling Zhang,1,2 Lingli Gu1 1Department of Rheumatology, The No. 1 Affiliated Hospital of Yunnan University of Traditional Chinese Medicine, Kunming, Yunnan, 650021, People’s Republic of China; 2Yunnan Provincial Clinical Medicine Research Center of Rheumatism in TCM, Yunnan Provincial Hospital of Traditional Chinese Medicine, Kunming, Yunnan, 650021, People’s Republic of China; 3The First School of Clinical Medicine, Yunnan University of Chinese Medicine, Kunming, Yunnan, 650021, People’s Republic of China; 4Department of Integrative Internal Medicine, The Lijiang Hospital of Traditional Chinese Medicine, Lijiang, Yunnan, 674100, People’s Republic of China; 5Department of Rheumatology and Immunology, The First People’s Hospital of Yunnan Province and The Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, 650034, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Ling Zhang; Lingli Gu, Email zebaiyuan@126.com; guyuxin82@126.comAbstract: Glucocorticoids (GC) are crucial in the treatment of rheumatoid arthritis (RA), but discontinuing GC effectively in RA patients poses a significant challenge for rheumatologists. In this two-stage, single-center, non-randomized controlled trial, we investigated the benefits of combining Chinese traditional herbal treatment with csDMARDs to aid GC discontinuation in terms of GC tapering, disease control, and safety. A total of 231 participants were enrolled, of which 150 eligible subjects were included in the first phase and allocated to three groups (control group, treatment group 1, and treatment group 2) based on their willingness to take traditional Chinese medicine and syndrome differentiation, in a 1:1:1 ratio. All groups received basic treatment consisting of methotrexate tablets (10 mg, qw), leflunomide (10 mg, qd), and stratified GC bridging therapy and tapering regimen (The intervention regimen was developed based on rigorous adherence to available evidence). Treatment group 1 received basic treatment combined with Juanbi Granule, while treatment group 2 received basic treatment combined with Yupingfeng Guizhi Decoction Granule. Efficacy was evaluated after a 12-week follow-up, with slightly adjustments to the treatment group based on efficacy and change of syndrome, followed by continued observation until 24 weeks to complete the study. The efficacy evaluation and data analysis were conducted in a blinded manner, including group label concealment, data cleaning, confounder and control regimen analysis, and outcome analysis. This project has received ethical approval from the Ethics Committee of Yunnan Provincial Hospital of Traditional Chinese Medicine (YLZ [2022] Ethical Review No. (006)-01) and has been registered with the China Clinical Trials Registry (Registration number: ChiCTR2300067676, Registered 17 January 2023, https://www.chictr.org.cn/showproj.html?proj=184908). This trial was the first to evaluate the clinical efficacy of combining Chinese herbal medicines with standard Western medicines to facilitate the discontinuation of glucocorticoid (GC) therapy in patients with rheumatoid arthritis (RA).Keywords: rheumatoid arthritis, glucocorticoids tapering, clinical trial, traditional Chinese medicine, Yupingfeng Guizhi Decoction, Juanbi Decoction

Published
2024

7. Development and Validation of Estimation Equations for Appendicular Skeletal Muscle Mass in Chinese Community-Dwelling Older Adults

Author

Sun Y, Yin T, Li M, Wang F, Qi J, Zhang H, Wang L, Zhao J, and Zhang Y

Subjects
appendicular muscle mass, anthropometry, physical function, estimation equation, older adults, Geriatrics, RC952-954.6
Abstract

Yun Sun,1,&ast; Tongtong Yin,2,&ast; Mengli Li,2,3 Fangfang Wang,2 Jiaying Qi,2 Hui Zhang,2,4 Li Wang,2 Jiehua Zhao,5 Yu Zhang5 1Department of Oncology, Suzhou BenQ Medical Center, Suzhou, Jiangsu, People’s Republic of China; 2School of Nursing, Suzhou Medical College of Soochow University, Suzhou, Jiangsu, People’s Republic of China; 3School of Nursing, Hong Kong Polytechnic University, Hongkong, People’s Republic of China; 4School of Nursing, Vocational Health College, Suzhou, Jiangsu, People’s Republic of China; 5Department of Nursing, Suzhou BenQ Medical Center, Suzhou, Jiangsu, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Yu Zhang; Jiehua Zhao, Email zhangyu-sz1985@outlook.com; hannah.zhao@benqmedicalcenter.comPurpose: This study aimed to establish equations for estimating muscle mass through anthropometric parameters or together with physical function parameters in the community-dwelling older adults, providing a simple way of muscle mass assessment.Methods: In this cross-sectional descriptive study, a total of 1537 older adults were recruited from the community and accepted the measurements of height, weight, upper arm and calf circumferences, grip strength, and walking speed. Body composition including appendicular skeletal muscle mass (ASM) was measured using bioelectrical impedance analysis (BIA). Participants were randomly divided into the development or validation group. Stepwise multiple linear regression was applied to develop equations in the development group. Thereafter, Pearson correlation coefficients, Bland-Altman plots, paired t-test, intraclass correlation coefficient (ICC) and paired-samples t-tests were used to assess the validity of the equations.Results: All parameters were significantly correlated with ASM (r = 0.195~0.795, P < 0.001) except for the age in the validation group (P = 0.746). The most optimal anthropometric equation was: [adjusted R2 = 0.911, standard error of the estimate (SEE) = 1.311, P < 0.001]. Comparatively speaking, this equation showed high correlation coefficient (r = 0.951, P < 0.001) and ICC (ICC = 0.950, P < 0.001). No significant differences were found between BIA-measured ASM and the estimated ASM. The Bland-Altman plot showed that the mean difference between the estimated ASM and BIA-measured ASM was 0 kg and the limits of agreement of ASM was − 2.70~2.60 kg. Furthermore, inclusion of physical function did not significantly improve the adjusted R2 and SEE.Conclusion: The anthropometric equation offers a practical alternative simple and dependable method for estimating ASM in community-dwelling older adults.Keywords: appendicular muscle mass, anthropometry, physical function, estimation equation, older adults

Published
2024

8. The Potential of Novel Synthesized Carbon Dots Derived Resveratrol Using One-Pot Green Method in Accelerating in vivo Wound Healing

Author

Cheng H, Zhao Y, Wang Y, Hou Y, Zhang R, Zong M, Sun L, Liu Y, Qi J, Wu X, and Li B

Subjects
carbon dots, wound healing, resveratrol, fluorescence, bio-imaging, biocompatibility., Medicine (General), R5-920
Abstract

Huaiyi Cheng,&ast; Yifan Zhao,&ast; Yue Wang,&ast; Yuxi Hou, Ran Zhang, Mingrui Zong, Lingxiang Sun, Yingyu Liu, Jin Qi, Xiuping Wu, Bing Li School and Hospital of Stomatology, Shanxi Medical University, Shanxi Province Key Laboratory of Oral Diseases Prevention and New Materials, Shanxi Medical University, Taiyuan, 030001, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Bing Li; Xiuping Wu, Email libing1975vip@163.com; 77wxp@163.comBackground: Carbon dots (CDs), a novel nanomaterial, have gained significant attention over the past decade due to their remarkable fluorescence properties, low toxicity, and biocompatibility. These characteristics make them promising in various applications, especially in biomedicine. However, most CDs are currently synthesized using chemical materials, and their biocompatibility falls short of natural compounds. Research on extracting CDs from natural sources is limited, and their potential in biomedicine remains largely unexplored.Methods: We extracted CDs from resveratrol, a natural plant compound, and enhanced their water solubility using citric acid. Characterization of resveratrol-based carbon dots (RES-CDs) was carried out using various techniques, including UV-Vis, SEM, TEM, FTIR, XRD, and fluorescence spectroscopy. Extensive biocompatibility tests, wound healing assays, cell migration studies, and angiogenesis experiments were conducted using human umbilical vein endothelial cells (HUVEC). In addition, we investigated the biocompatibility and wound healing potential of RES-CDs in an in vivo rat model of inflammation.Results: RES-CDs exhibited stable yellow-green fluorescence under 365-nanometer ultraviolet light and demonstrated excellent biocompatibility. In wound healing experiments, RES-CDs outperformed resveratrol in terms of cell scratch healing, migration, and tube formation. In a rat skin defect model, RES-CDs promoted wound healing and stimulated the formation of blood vessels and tissue regeneration near the wound site, as evidenced by increased CD31 and VEGF expression.Conclusion: Resveratrol-derived CDs with enhanced water solubility show superior performance in tissue healing compared to resveratrol. This discovery opens new possibilities for the clinical application of resveratrol-based carbon dots. Keywords: carbon dots, wound healing, resveratrol, fluorescence, bio-imaging, biocompatibility

Published
2023

9. The Distribution, Drug Susceptibility, and Dynamic Trends of Pseudomonas aeruginosa Infection in a Tertiary Hospital in China During 2016‒2022

Author

Li XY, Liu XG, Dong ZL, Chai LT, Liu YJ, Qi J, and Zhao J

Subjects
pseudomonas aeruginosa, distribution, drug susceptibility, dynamic trend, Infectious and parasitic diseases, RC109-216
Abstract

Xiao-Yan Li,1 Xin-Guang Liu,2 Zhi-Ling Dong,1 Liang-Ting Chai,3 Yan-Jun Liu,4 Jie Qi,3 Jie Zhao1 1Department of Clinical Laboratory, Handan Central Hospital, Handan, Hebei, People’s Republic of China; 2Department of Clinical Laboratory, Children’s Hospital of Hebei, Shijiazhuang, Hebei, People’s Republic of China; 3Department of Clinical Laboratory, Handan First Hospital, Handan, Hebei, People’s Republic of China; 4Department of General Surgery, Handan Central Hospital, Handan, Hebei, People’s Republic of ChinaCorrespondence: Jie Zhao, No. 59 Congtai North Road, Congtai District, Handan City, Hebei Province, 057150, People’s Republic of China, Tel +86-18003205055, Email zjlxy8160@163.comBackground: Drug-resistant Pseudomonas aeruginosa infections rapidly increased and contributed to life-threatening nosocomial infections; however, the distribution, species, drug susceptibility and dynamic trends of P. aeruginosa infection in China remained unclear. This study was conducted to better understand the epidemiological data of increased P. aeruginosa infections from 2016 to 2022 in a hospital in China.Methods: This study involved 3301 patients infected with P. aeruginosa, diagnosed using a nosocomial infection surveillance system in a tertiary hospital between 2016 and 2022. The P. aeruginosa infections from 2016 to 2022 were assessed according to the hospital department and species, and the drug susceptibility was evaluated using 16 antimicrobial agents.Results: The P. aeruginosa infection prevalence in the hospital department was: Neurosurgery (14.30%), Emergency (13.30%), and Critical Care Medicine (11.69%). Samples for P. aeruginosa infection identification were from sputum (72.52%) and other secreta (9.91%). The P. aeruginosa infections demonstrated a greater sensitivity to amikacin (AMK, 91.82%), tobramycin (TOB, 82.79%), and gentamycin (GEN, 82.01%); however, P. aeruginosa infection demonstrated greater resistance to ticarcillin (22.57%), levofloxacin (21.63%), and ciprofloxacin (18.00%).Conclusion: The P. aeruginosa infections were commonly observed in the Neurosurgery, Emergency, and Critical Care Medicine departments and demonstrated greater sensitivity to AMK, TOB, and GEN than the other drugs.Keywords: Pseudomonas aeruginosa, distribution, drug susceptibility, dynamic trend

Published
2023

10. Triglyceride-Glucose Index is Significantly Associated with the Risk of Hyperuricemia in Patients with Nonalcoholic Fatty Liver Disease

Author

Qi J, Ren X, Hou Y, Zhang Y, Tan E, and Wang L

Subjects
triglyceride-glucose index, insulin resistance, non-alcoholic fatty liver disease, hyperuricemia, serum uric acid., Specialties of internal medicine, RC581-951
Abstract

Jiaxin Qi,1,2,&ast; Xiayu Ren,1,2,&ast; Yanjuan Hou,2 Yaqing Zhang,1,2 Yanru Zhang,1,2 Enxue Tan,1,2 Lihua Wang2 1Second Department of Clinical Medicine, Shanxi Medical University, Taiyuan, Shanxi, People’s Republic of China; 2Division of Nephrology, The Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Lihua Wang, Division of Nephrology, The Second Hospital of Shanxi Medical University, 382 Wuyi Road, Taiyuan, Shanxi, 030000, People’s Republic of China, Tel +8615234166600, Email lihuawang236@126.comPurpose: The triglyceride-glucose (TyG) index is a new index of insulin resistance (IR), and its association with hyperuricemia (HUA) is unclear. The aim of this study was to investigate whether TyG is an independent risk factor for hyperuricemia (HUA) in patients with nonalcoholic fatty liver disease (NAFLD).Patients and Methods: We retrospectively analyzed 461 patients with ultrasound-confirmed NAFLD and calculated the TyG index. Multivariate logistic regression was used to analyze the relationship between the TyG index and HUA in NAFLD patients. The correlation between the TyG index and HUA was further confirmed by a restricted cubic spline. Furthermore, the stability of the association between TyG index and HUA was examined using subgroup analysis. Receiver operating characteristic (ROC) curves were constructed to evaluate the predictive value of the TyG index on HUA. Multivariate linear regression was used to analyze the linear relationship between the TyG index and serum uric acid.Results: A total of 166 HUA patients and 295 non-HUA patients were included in the study. The results of multivariate logistic regression analysis showed that after controlling the confounding risk factors, TyG was still an independent risk factor for HUA (OR = 2.00, 95% CI: 1.38 − 2.91, p < 0.001). Restricted cubic splines showed that HUA risk increased linearly with TyG across the entire TyG range. The ROC curve showed that TyG index was better than triglyceride in predicting HUA in NAFLD patients, with AUC values of 0.62 and 0.59, respectively. Multiple linear regression analysis showed that TyG index was significantly positively correlated with blood uric acid (B = 1.37, 95% CI: 0.67– 2.08, p < 0.001).Conclusion: TyG index is an independent risk factor for HUA in patients with NAFLD. The increase of the TyG index level is closely related to the occurrence and development of HUA in patients with NAFLD.Keywords: triglyceride-glucose index, insulin resistance, non-alcoholic fatty liver disease, hyperuricemia, serum uric acid

Published
2023

11. MicroRNA-510 mediated negative regulation of Caveolin-1 in fibroblasts promotes aggressive tumor growth

Author

Brooke King, Bradley A. Krisanits, Qi J. Guo, Bobbie Blake, Lourdes M. Nogueira, Gurbani Jolly, Arabia Satterwhite, David P. Turner, Stanley Hoffman, Ashley Evans-Knowell, and Victoria J. Findlay

Subjects
Caveolin-1, microRNA, breast cancer, disparities, stroma, Immunologic diseases. Allergy, RC581-607
Abstract

IntroductionIn the US, despite the recent decline in breast cancer deaths, a persistent mortality disparity exists between black and white women with breast cancer, with black women having a 41% higher death rate. Several studies are now reporting that racial disparities can exist independent of socioeconomic and standard of care issues, suggesting that biological factors may be involved. Caveolin-1 (Cav1) loss in the tumor stromal compartment is a novel clinical biomarker for predicting poor outcome in breast cancer including triple negative subtype, however the mechanism of Cav1 loss is unknown. We previously identified miR-510-5p as a novel oncomir and propose here that the high levels observed in patients is a novel mechanism leading to stromal Cav1 loss and worse outcomes.MethodsCav1 was identified as a direct target of miR-510-5p through luciferase, western blot and qPCR assays. Stromal cross talk between epithelial cells and fibroblasts was assessed in vitro using transwell co-culture assays and in vivo using xenograft assays.ResultsWe found that Cav1 is a direct target of miR-510-5p and that expression in fibroblasts results in an ‘activated’ phenotype. We propose that this could be important in the context of cancer disparities as we also observed increased levels of circulating miR-510-5p and reduced levels of stromal Cav1 in black women compared to white women with breast cancer. Finally, we observed a significant increase in tumor growth when tumor cells were co-injected with miR-510-5p expressing cancer associated fibroblasts in vivo.ConclusionWe propose that miR-510-5p mediated negative regulation of Cav1 in fibroblasts is a novel mechanism of aggressive tumor growth and may be a driver of breast cancer disparity.

Published
2023
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12. The Pathogenic Mechanism of the ATP2C1 p.Ala109_Gln120del Mutation in Hailey–Hailey Disease

Author

Li P, Qi J, Zhou B, Ding T, Long J, and Xiao H

Subjects
atpase secretory pathway ca2+ transporting 1, hailey-hailey disease, pathogenesis, secretory pathway ca2+/mn2+-atpase 1, Dermatology, RL1-803
Abstract

Peiyao Li1,2 &ast;, Jialin Qi3 &ast;, Baishun Zhou,1 Ting Ding,4 Juan Long,5 Heng Xiao1 1Department of Pathology, School of Medicine, Hunan Normal University, Changsha, People’s Republic of China; 2Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, China NHC Key Laboratory of Carcinogenesis, Xiangya Hospital, Central South University, Changsha, People’s Republic of China; 3Department of Pathology, Xiangya Hospital, Central South University, Changsha, People’s Republic of China; 4Department of Endocrinology, Yiyang Central Hospital, Yiyang, People’s Republic of China; 5Department of Dermatology, Hunan Children’s Hospital, Changsha, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Heng Xiao, Department of Pathology, School of Medicine, Hunan Normal University, 371 Tongzipo Road, Changsha, Hunan, 410013, People’s Republic of China, Tel +86-731-88912501, Email emmaxiao1988@hotmail.comBackground: Hailey–Hailey disease (HHD) is an autosomal dominant cutaneous disorder that manifests as repeated blisters and erosions on flexural or intertriginous skin areas. The calcium-transporting ATPase type 2C member 1 gene (ATP2C1) encodes the secretory pathway Ca2+/Mn2+-ATPase 1 (SPCA1), whose deficiency is responsible for HHD. An ATP2C1 splice-site mutation (c.325-2A>G, p.Ala109_Gln120del) was previously identified in a Han Chinese family with HHD.Methods: In this study, the identified ATP2C1 splice-site mutation (c.325-2A>G, p.Ala109_Gln120del) was investigated in transfected human embryonic kidney 293 cells to analyze its pathogenic mechanism in HHD patients by using cycloheximide chase assay, CCK8 assay and in silico modeling of SPCA1 mutant.Results: Cycloheximide chase assay showed that the degradation rate of the SPCA1 mutant was not obviously faster than that of the normal SPCA1. CCK8 assay showed that cell proliferation rates in the wild-type, A109_Q120del, and empty vector control groups all decreased in the gradient Mn2+ solutions in a dose-dependent manner. The cell proliferation rate in the wild-type was lower than that in the A109_Q120del and empty vector control (both P < 0.01), indicating overexpression of normal SPCA1 may rather induce Golgi stress, and even cell death. The cell proliferation rate in the A109_Q120del was lower than that in the empty vector control (P < 0.01), indicating that overexpression of the mutated SPCA1 may decrease its detoxification capability. Three-dimensional (3D) structure model of SPCA1 built by SWISS-MODEL and PyMOL showed that absence of the 12 amino acids from p.Ala109 to p.Gln120 in the SPCA1 mutant can cause obviously shortened transmembrane 2, which may affect correct localization of SPCA1 on the Golgi.Conclusion: These results demonstrate that the ATP2C1 mutation (c.325-2A>G, p.Ala109_Gln120del) may cause impaired SPCA1 capability to detoxify Mn2+ and abnormal SPCA1 structure, which reveals a new side for the pathogenesis of HHD.Keywords: ATPase secretory pathway Ca2+ transporting 1, Hailey–Hailey disease, pathogenesis, secretory pathway Ca2+/Mn2+-ATPase 1

Published
2022

13. Overexpression of miR-3653 is Associated with HPV Infection and Serves as a Biomarker in Patients with Cervical Cancer

Author

Cui H, Zhang B, Ruan M, Fang C, Li N, Sun X, Qi J, Zuo R, Zhang S, and Rong J

Subjects
mir-3653, microrna, hpv, cervical cancer, diagnosis, prognosis, Gynecology and obstetrics, RG1-991
Abstract

Haiyan Cui,1 Baohua Zhang,2 Mei Ruan,3 Chunmei Fang,4 Ning Li,5 Xiaoqin Sun,6 Junmei Qi,1 Rongrong Zuo,1 Shuangshuang Zhang,1 Jiansheng Rong2 1Pathology Department, The Fourth People Hospital of Zibo, Zibo, Shandong, 255067, People’s Republic of China; 2Pathology Department, Zibo Central Hospital, Zibo, Shandong, 255036, People’s Republic of China; 3Oncology Department, The Fourth People Hospital of Zibo, Zibo, Shandong, 255067, People’s Republic of China; 4Gynecology Department, Zibo Lianchi Women & Infants Hospital, Zibo, Shandong, 255000, People’s Republic of China; 5Department of Physical Examination, Zichuan Traditional Chinese Medicine Hospital, Zibo, Shandong, 255100, People’s Republic of China; 6Pathology Department, Zibo Maternal and Child Health Hospital, Zibo, Shandong, 255000, People’s Republic of ChinaCorrespondence: Jiansheng Rong, Pathology Department, Zibo Central Hospital, No. 54 Gongqingtuan West Road, Zibo, Shandong, 255067, People’s Republic of China, Tel/Fax +86 533-2360321, Email rongjiansheng_zbzx@163.comBackground: Human papillomavirus (HPV) is a major cause of cervical cancer (CC) occurrence. This study aimed to explore whether abnormal microRNA (miR)-3653 is associated with HPV infection and to investigate the clinical value of miR-3653 in the diagnosis and prognosis of CC.Methods: Tumor tissues and adjacent non-cancerous tissues were collected from 136 patients with CC. Cervical tissues from 101 patients with uterine fibroids were collected as controls. The expression of miR-3653 was measured by quantitative real-time PCR. The ability of miR-3653 to discriminate between HPV positive (HPV+) and HPV negative (HPV-) CC patients, and to discriminate patients from controls was assessed by receiver operating characteristic analysis. Kaplan–Meier curves and Log rank tests were used to evaluate the relationship of miR-3653 with survival of CC patient. Whether miR-3653 could function as a prognostic indicator was evaluated by univariate and multivariate Cox analyses.Results: miR-3653, highly expressed in CC tissues, was associated with HPV infection, tumor diameter, International Federation of Gynecology and Obstetrics (FIGO) stage and lymph node metastasis in CC patients. Additionally, miR-3653 was increased in HPV+ controls, CC patients and CC cells. Moreover, miR-3653 could screen HPV+ controls, screen HPV+ patients and screen CC patients. Furthermore, miR-3653 was associated with the survival of CC patients (log-rank P < 0.001) and could serve as an independent prognostic indicator for CC patients.Conclusion: miR-3653, increased in CC, is related to HPV infection and may serve as a diagnostic and prognostic biomarker for CC patients.Keywords: miR-3653, microRNA, HPV, cervical cancer, diagnosis, prognosis

Published
2022

14. Neutrophil-to-Lymphocyte Ratio as an Indicator of Opioid-Induced Immunosuppression After Thoracoscopic Surgery: A Randomized Controlled Trial

Author

Chen Q, Liang J, Liang L, Liao Z, Yang B, and Qi J

Subjects
neutrophil-to-lymphocyte ratio, immunosuppression, paravertebral block, opioid, analgesia, Medicine (General), R5-920
Abstract

Qi Chen,1,&ast; Jingqiu Liang,2,&ast; Ling Liang,2 Zhongli Liao,2 Bin Yang,3 Jun Qi2 1Department of Anesthesiology, Chongqing University Cancer Hospital, Chongqing, People’s Republic of China; 2Chongqing Cancer Multi-Omics Big Data Application Engineering Research Center, Chongqing University Cancer Hospital, Chongqing, People’s Republic of China; 3Department of Anesthesiology, the First Affiliated Hospital of Xiamen University, Xiamen, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Bin Yang, Department of Anesthesiology, the First Affiliated Hospital of Xiamen University, Xiamen, People’s Republic of China, Email yangbin4332@outlook.com Jun Qi, Chongqing Cancer Multi-Omics Big Data Application Engineering Research Center, Chongqing University Cancer Hospital, Chongqing, People’s Republic of China, Email qqyc2005@163.comPurpose: The neutrophil-to-lymphocyte ratio (NLR) is a useful prognostic marker for various diseases and surgery-induced immunosuppression. While opioids are important in general anesthesia, the association between immediate perioperative immune monitoring and opioid consumption for postoperative analgesia after video-assisted thoracoscopic surgery (VATS) is unknown. We aimed to investigate the effect of analgesic techniques on opioid-induced immune perturbation, and the feasibility of NLR as an indicator of opioid-induced immune changes.Patients and Methods: Patients were randomly assigned to two groups: Group P (n=40) or Group C (n=40). Patients in group P received ultrasound-guided paravertebral block (PVB) before surgery, and followed by sufentanil patient-controlled intravenous analgesia (PCIA) after surgery, and group C received sufentanil PCIA only. The total and differential white blood cell counts, including CD4+ T lymphocyte counts, CD8+ T lymphocyte were recorded before surgery and at 24 and 72 hours after surgery. NLR was determined using the frequencies of lymphocyte subpopulations. The cumulative dose of sufentanil were recorded at 24 and 24h after surgery while the 40-item quality of recovery questionnaire (QoR-40) score were assessed at 48h after the surgery.Results: At 24 and 48 hours after surgery, a lower sufentanil consumption, and higher QoR-40 recovery scores were found in group P than in group C (P< 0.05). In biochemical analyses, the values of NLR were lower in group P compared to group C (p< 0.0001) and ratio of CD4/CD8 were higher in group P compared to group C (p< 0.05) on day three after surgery. NLR showed excellent predictive capability for immunosuppression, with an area under the curve (AUC) of 0.92 [95% confidence interval (CI), 0.86– 0.98, P < 0.0001].Conclusion: Opioid-sparing pain management strategies may affect postoperative immunosuppression and NLR could be a reliable indicator of opioid-related immunosuppression. Moreover, opioid-sparing pain management strategies could improve patient’s satisfaction in VATS.Keywords: neutrophil-to-lymphocyte ratio, immunosuppression, paravertebral block, opioid, analgesia

Published
2022

15. Loss of Renewal of Extracellular Vesicles: Harmful Effects on Embryo Development in vitro

Author

Qu P, Zhao J, Hu H, Cao W, Zhang Y, Qi J, Meng B, Liu S, Ding C, Wu Y, and Liu E

Subjects
extracellular vesicles, hazardous effect, renewal, embryo, in vitro culture, Medicine (General), R5-920
Abstract

Pengxiang Qu,1,2 Jinpeng Zhao,1,2 Huizhong Hu,1,2 Wenbin Cao,1,2 Yanru Zhang,1,2 Jia Qi,1,2 Bin Meng,1,3 Juan Zhao,2,4 Shuangqing Liu,1 Chong Ding,1,2 Yuqi Wu,1,2 Enqi Liu1,2 1Laboratory Animal Center, Xi’an Jiaotong University Health Science Centre, Xi’an, Shaanxi, People’s Republic of China; 2Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education of China, Xi’an, Shaanxi, People’s Republic of China; 3The Assisted Reproduction Center, Northwest Women’s and Children’s Hospital, Xi’an, People’s Republic of China; 4Department of Hematology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, People’s Republic of ChinaCorrespondence: Enqi Liu, Email liuenqi@xjtu.edu.cnBackground: Extracellular vesicles (EVs), as a promising platform for drug delivery, have attracted much attention. Degradation and regeneration of EVs maintain their homeostasis in vivo, but this regeneration is missing in the in vitro culture (IVC) system, which is likely to lead to negative effects. It is particularly concerning that most studies involving the addition of EVs in IVC seem to overlook this point.Methods: We used rabbit embryos and oviduct fluid EVs as a model of embryo development to examine the effect of loss or gain of EV functionality in an IVC system. Embryonic development ratios were determined in each group. Malondialdehyde and ammonium ions in the culture medium were measured. RNA-seq, reactive oxygen species (ROS) staining, immunofluorescence of LC3 and H3K36me3, and qPCR of oxidative stress-related genes and autophagy-related genes of blastocysts in the in vivo group, non-EVs group, con-EVs group, and R-EVsM group was implemented.Results: Incubation of embryos with 9.1× 1011 EV particles/mL had a positive effect at 48 h and 72 h, which disappeared by 96 h, however. EVs at a concentration of 9.1× 1012 particles/mL even showed a negative effect at 96 h. As culture time in the IVC system was increased, the amount of malondialdehyde and ammonium ions in the culture medium was increased, and there was a decrease in embryonic development activity of EVs. Lack of EV renewal in the IVC system impaired embryonic development competence, while replacement of EVs and medium during IVC could sustain embryonic development. Loss or gain of renewal in the IVC system affected EVs’ influence on embryo transcriptome, embryonic ROS, autophagy, epigenetic state and apoptosis.Conclusion: Loss of renewal in the IVC system affected EVs’ role in embryonic development by causing an imbalance in ROS, autophagy, abnormal H3K36me3 levels and apoptosis, while gain of renewal in the IVC system reduced these adverse effects and ensured the beneficial function of EVs.Keywords: extracellular vesicles, hazardous effect, renewal, embryo, in vitro culture

Published
2022

16. The Single Nucleotide Polymorphisms of AP1S1 are Associated with Risk of Esophageal Squamous Cell Carcinoma in Chinese Population

Author

Su F, Fang Y, Yu J, Jiang T, Lin S, Zhang S, Lv L, Long T, Pan H, Qi J, Zhou Q, Tang W, Ding G, Wang L, Tan L, and Yin J

Subjects
ap1s1, single nucleotide polymorphism, snp, esophageal squamous cell carcinoma, escc, Therapeutics. Pharmacology, RM1-950
Abstract

Feng Su,1,&ast; Yong Fang,1,&ast; Jinjie Yu,1 Tian Jiang,1 Siyun Lin,1 Shaoyuan Zhang,1 Lu Lv,2 Tao Long,2 Huiwen Pan,2 Junqing Qi,2 Qiang Zhou,3 Weifeng Tang,4 Guowen Ding,2 Liming Wang,5 Lijie Tan,1 Jun Yin1 1Department of Thoracic Surgery, Zhongshan Hospital of Fudan University, Shanghai, People’s Republic of China; 2Department of Cardiothoracic Surgery, Affiliated People’s Hospital of Jiangsu University, Jiangsu, People’s Republic of China; 3Department of Thoracic Surgery, Sichuan Cancer Hospital & Institute, Sichuan, People’s Republic of China; 4Department of Cardiothoracic Surgery, Nanjing Drum Tower Hospital, Jiangsu, People’s Republic of China; 5Department of Respiratory, Shanghai Xuhui Central Hospital, Shanghai, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Jun Yin; Lijie Tan, Zhongshan Hospital of Fudan University, 180 Fenglin road, Xuhui District, Shanghai, 200032, People’s Republic of China, Email jun_yin@fudan.edu.cn; tan.lijie@zs-hospital.sh.cnBackground: The σ 1A subunit of the adaptor protein 1 (AP1S1) participates in various intracellular transport pathways, especially the maintenance of copper homeostasis, which is pivotal in carcinogenesis. It is therefore rational to presume that AP1S1 might also be involved in carcinogenesis. In this hospital-based case-control study, we investigated the genetic susceptibility to ESCC in relation to SNPs of AP1S1 among Chinese population.Methods: A database containing a total of 1303 controls and 1043 ESCC patients were retrospectively studied. The AP1S1 SNPs were analyzed based on ligation detection reaction (LDR) method. Then, the relationship between ESCC and SNPs of AP1S1 was determined with a significant crude P< 0.05. Then the logistic regression analysis was used for the calculation for adjusted P in the demographic stratification comparison if a significant difference was observed in the previous step.Results: AP1S1 rs77387752 C>T genotype TT was an independent risk factor for ESCC, while rs4729666 C>T genotype TC and rs35208462 C>T genotype TC were associated with a lower risk for ESCC, especially in co-dominant model and allelic test for younger, male subjects who are not alcohol-drinkers nor cigarette smokers.Conclusion: AP1S1 rs77387752, rs4729666 and rs35208462 polymorphisms are associated with susceptibility to ESCC in Chinese individuals. AP1S1 SNPs may exert an important role in esophageal carcinogenesis and could serve as potential diagnostic biomarkers.Keywords: AP1S1, single nucleotide polymorphism, SNP, esophageal squamous cell carcinoma, ESCC

Published
2022

17. Low-Energy Nuclear Recoil Calibration of XENONnT with a $^{88}$YBe Photoneutron Source

Author

XENON Collaboration, Aprile, E., Aalbers, J., Abe, K., Maouloud, S. Ahmed, Althueser, L., Andrieu, B., Angelino, E., Ant, D., Arneodo, F., Baudis, L., Bazyk, M., Bellagamba, L., Biondi, R., Bismark, A., Boese, K., Brown, A., Bruno, G., Budnik, R., Cai, C., Capelli, C., Cardoso, J. M. R., Ch, A. P. Cimental, Colijn, A. P., Conrad, J., Cuenca-Garc, J. J., D'Andrea, V., Garcia, L. C. Daniel, Decowski, M. P., Deisting, A., Di Donato, C., Di Gangi, P., Diglio, S., Eitel, K., Morabit, S. el, Elykov, A., Ferella, A. D., Ferrari, C., Fischer, H., Flehmke, T., Flierman, M., Fulgione, W., Fuselli, C., Gaemers, P., Gaior, R., Galloway, M., Gao, F., Ghosh, S., Giacomobono, R., Glade-Beucke, R., Grandi, L., Grigat, J., Guan, H., Guida, M., Gyorgy, P., Hammann, R., Higuera, A., Hils, C., Hoetzsch, L., Hood, N. F., Iacovacci, M., Itow, Y., Jakob, J., Joerg, F., Kaminaga, Y., Kara, M., Kavrigin, P., Kazama, S., Kharbanda, P., Kobayashi, M., Koke, D., Kopec, A., Landsman, H., Lang, R. F., Levinson, L., Li, I., Li, S., Liang, S., Liang, Z., Lin, Y. -T., Lindemann, S., Lindner, M., Liu, K., Liu, M., Loizeau, J., Lombardi, F., Long, J., Lopes, J. A. M., Luce, T., Ma, Y., Macolino, C., Mahlstedt, J., Mancuso, A., Manenti, L., Marignetti, F., Marrod, T., Martens, K., Masbou, J., Masson, E., Mastroianni, S., Melchiorre, A., Merz, J., Messina, M., Michael, A., Miuchi, K., Molinario, A., Moriyama, S., Mor, K., Mosbacher, Y., Murra, M., M, J., Ni, K., Oberlack, U., Paetsch, B., Pan, Y., Pellegrini, Q., Peres, R., Peters, C., Pienaar, J., Pierre, M., Plante, G., Pollmann, T. R., Principe, L., Qi, J., Qin, J., Ram, D., Rajado, M., Singh, R., Sanchez, L., Santos, J. M. F. dos, Sarnoff, I., Sartorelli, G., Schreiner, J., Schulte, P., Eißing, H. Schulze, Schumann, M., Lavina, L. Scotto, Selvi, M., Semeria, F., Shagin, P., Shi, S., Shi, J., Silva, M., Simgen, H., Szyszka, C., Takeda, A., Takeuchi, Y., Tan, P. -L., Thers, D., Toschi, F., Trinchero, G., Tunnell, C. D., T, F., Valerius, K., Vecchi, S., Vetter, S., Solar, F. I. Villazon, Volta, G., Weinheimer, C., Weiss, M., Wenz, D., Wittweg, C., Wu, V. H. S., Xing, Y., Xu, D., Xu, Z., Yamashita, M., Yang, L., Ye, J., Yuan, L., Zavattini, G., and Zhong, M.

Subjects
Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract

Characterizing low-energy (O(1keV)) nuclear recoils near the detector threshold is one of the major challenges for large direct dark matter detectors. To that end, we have successfully used a Yttrium-Beryllium photoneutron source that emits 152 keV neutrons for the calibration of the light and charge yields of the XENONnT experiment for the first time. After data selection, we accumulated 474 events from 183 hours of exposure with this source. The expected background was $55 \pm 12$ accidental coincidence events, estimated using a dedicated 152 hour background calibration run with a Yttrium-PVC gamma-only source and data-driven modeling. From these calibrations, we extracted the light yield and charge yield for liquid xenon at our field strength of 23 V/cm between 0.5 keV$_{\rm NR}$ and 5.0 keV$_{\rm NR}$ (nuclear recoil energy in keV). This calibration is crucial for accurately measuring the solar $^8$B neutrino coherent elastic neutrino-nucleus scattering and searching for light dark matter particles with masses below 12 GeV/c$^2$.

Published
2024

18. The neutron veto of the XENONnT experiment: Results with demineralized water

Author

XENON Collaboration, Aprile, E., Aalbers, J., Abe, K., Maouloud, S. Ahmed, Althueser, L., Andrieu, B., Angelino, E., Martin, D. Antón, Arneodo, F., Baudis, L., Bazyk, M., Bellagamba, L., Biondi, R., Bismark, A., Boese, K., Brown, A., Bruno, G., Budnik, R., Cai, C., Capelli, C., Cardoso, J. M. R., Chávez, A. P. Cimental, Colijn, A. P., Conrad, J., Cuenca-García, J. J., D'Andrea, V., Garcia, L. C. Daniel, Decowski, M. P., Deisting, A., Di Donato, C., Di Gangi, P., Diglio, S., Eitel, K., Morabit, S. el, Elykov, A., Ferella, A. D., Ferrari, C., Fischer, H., Flehmke, T., Flierman, M., Fulgione, W., Fuselli, C., Gaemers, P., Gaior, R., Galloway, M., Gao, F., Ghosh, S., Giacomobono, R., Glade-Beucke, R., Grandi, L., Grigat, J., Guan, H., Guida, M., Gyorgy, P., Hammann, R., Higuera, A., Hils, C., Hoetzsch, L., Hood, N. F., Iacovacci, M., Itow, Y., Jakob, J., Joerg, F., Kaminaga, Y., Kara, M., Kavrigin, P., Kazama, S., Kobayashi, M., Koke, D., Kopec, A., Landsman, H., Lang, R. F., Levinson, L., Li, I., Li, S., Liang, S., Lin, Y. -T., Lindemann, S., Lindner, M., Liu, K., Liu, M., Loizeau, J., Lombardi, F., Long, J., Lopes, J. A. M., Luce, T., Ma, Y., Macolino, C., Mahlstedt, J., Mancuso, A., Manenti, L., Marignetti, F., Undagoitia, T. Marrodán, Martens, K., Masbou, J., Masson, E., Mastroianni, S., Melchiorre, A., Merz, J., Messina, M., Michael, A., Miuchi, K., Molinario, A., Moriyama, S., Morá, K., Mosbacher, Y., Murra, M., Müller, J., Ni, K., Oberlack, U., Paetsch, B., Pan, Y., Pellegrini, Q., Peres, R., Peters, C., Pienaar, J., Pierre, M., Plante, G., Pollmann, T. R., Principe, L., Qi, J., Qin, J., García, D. Ramírez, Rajado, M., Singh, R., Sanchez, L., Santos, J. M. F. dos, Sarnoff, I., Sartorelli, G., Schreiner, J., Schulte, P., Eißing, H. Schulze, Schumann, M., Lavina, L. Scotto, Selvi, M., Semeria, F., Shagin, P., Shi, S., Shi, J., Silva, M., Simgen, H., Szyszka, C., Takeda, A., Takeuchi, Y., Tan, P. -L., Thers, D., Toschi, F., Trinchero, G., Tunnell, C. D., Tönnies, F., Valerius, K., Vecchi, S., Vetter, S., Solar, F. I. Villazon, Volta, G., Weinheimer, C., Weiss, M., Wenz, D., Wittweg, C., Wu, V. H. S., Xing, Y., Xu, D., Xu, Z., Yamashita, M., Yang, L., Ye, J., Yuan, L., Zavattini, G., and Zhong, M.

Subjects
Physics - Instrumentation and Detectors, Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics, High Energy Physics - Experiment
Abstract

Radiogenic neutrons emitted by detector materials are one of the most challenging backgrounds for the direct search of dark matter in the form of weakly interacting massive particles (WIMPs). To mitigate this background, the XENONnT experiment is equipped with a novel gadolinium-doped water Cherenkov detector, which encloses the xenon dual-phase time projection chamber (TPC). The neutron veto (NV) tags neutrons via their capture on gadolinium or hydrogen, which release $\gamma$-rays that are subsequently detected as Cherenkov light. In this work, we present the key features and the first results of the XENONnT NV when operated with demineralized water in the initial phase of the experiment. Its efficiency for detecting neutrons is $(82\pm 1)\,\%$, the highest neutron detection efficiency achieved in a water Cherenkov detector. This enables a high efficiency of $(53\pm 3)\,\%$ for the tagging of WIMP-like neutron signals, inside a tagging time window of $250\,\mathrm{\mu s}$ between TPC and NV, leading to a livetime loss of $1.6\,\%$ during the first science run of XENONnT.

Published
2024

19. Search for Light Dark Matter in Low-Energy Ionization Signals from XENONnT

Author

Aprile, E., Aalbers, J., Abe, K., Maouloud, S. Ahmed, Althueser, L., Andrieu, B., Angelino, E., Martin, D. Antón, Arneodo, F., Baudis, L., Bazyk, M., Bellagamba, L., Biondi, R., Bismark, A., Boese, K., Brown, A., Bruno, G., Budnik, R., Cai, C., Capelli, C., Cardoso, J. M. R., Chávez, A. P. Cimental, Colijn, A. P., Conrad, J., Cuenca-García, J. J., D'Andrea, V., Garcia, L. C. Daniel, Decowski, M. P., Deisting, A., Di Donato, C., Di Gangi, P., Diglio, S., Eitel, K., Morabit, S. el, Elykov, A., Ferella, A. D., Ferrari, C., Fischer, H., Flehmke, T., Flierman, M., Fulgione, W., Fuselli, C., Gaemers, P., Gaior, R., Galloway, M., Gao, F., Ghosh, S., Giacomobono, R., Glade-Beucke, R., Grandi, L., Grigat, J., Guan, H., Guida, M., Gyorgy, P., Hammann, R., Higuera, A., Hils, C., Hoetzsch, L., Hood, N. F., Iacovacci, M., Itow, Y., Jakob, J., Joerg, F., Kaminaga, Y., Kara, M., Kavrigin, P., Kazama, S., Kobayashi, M., Koke, D., Kopec, A., Landsman, H., Lang, R. F., Levinson, L., Li, I., Li, S., Liang, S., Lin, Y. -T., Lindemann, S., Lindner, M., Liu, K., Liu, M., Loizeau, J., Lombardi, F., Long, J., Lopes, J. A. M., Luce, T., Ma, Y., Macolino, C., Mahlstedt, J., Mancuso, A., Manenti, L., Marignetti, F., Undagoitia, T. Marrodán, Martens, K., Masbou, J., Masson, E., Mastroianni, S., Melchiorre, A., Merz, J., Messina, M., Michael, A., Miuchi, K., Molinario, A., Moriyama, S., Morå, K., Mosbacher, Y., Murra, M., Müller, J., Ni, K., Oberlack, U., Paetsch, B., Pan, Y., Pellegrini, Q., Peres, R., Peters, C., Pienaar, J., Pierre, M., Plante, G., Pollmann, T. R., Principe, L., Qi, J., Qin, J., García, D. Ramírez, Rajado, M., Singh, R., Sanchez, L., Santos, J. M. F. dos, Sarnoff, I., Sartorelli, G., Schreiner, J., Schulte, P., Eißing, H. Schulze, Schumann, M., Lavina, L. Scotto, Selvi, M., Semeria, F., Shagin, P., Shi, S., Shi, J., Silva, M., Simgen, H., Szyszka, C., Takeda, A., Tan, P. -L., Thers, D., Toschi, F., Trinchero, G., Tunnell, C. D., Tönnies, F., Valerius, K., Vecchi, S., Vetter, S., Solar, F. I. Villazon, Volta, G., Weinheimer, C., Weiss, M., Wenz, D., Wittweg, C., Wu, V. H. S., Xing, Y., Xu, D., Xu, Z., Yamashita, M., Yang, L., Ye, J., Yuan, L., Zavattini, G., and Zhong, M.

Subjects
High Energy Physics - Experiment
Abstract

We report on a blinded search for dark matter with single- and few-electron signals in the first science run of XENONnT relying on a novel detector response framework that is physics-model-dependent. We derive 90\% confidence upper limits for dark matter-electron interactions. Heavy and light mediator cases are considered for the standard halo model and dark matter up-scattered in the Sun. We set stringent new limits on dark matter-electron scattering via a heavy mediator with a mass within 10-20\,MeV/$c^2$ and electron absorption of axion-like particles and dark photons for $m_\chi$ below 0.186\,keV/$c^2$., Comment: 9 pages, 5 figures

Published
2024

20. Neutrinoless Double Beta Decay Sensitivity of the XLZD Rare Event Observatory

Author

XLZD Collaboration, Aalbers, J., Abe, K., Adrover, M., Maouloud, S. Ahmed, Akerib, D. S., Musalhi, A. K. Al, Alder, F., Althueser, L., Amaral, D. W. P., Amarasinghe, C. S., Ames, A., Andrieu, B., Angelides, N., Angelino, E., Antunovic, B., Aprile, E., Araújo, H. M., Armstrong, J. E., Arthurs, M., Babicz, M., Bajpai, D., Baker, A., Balzer, M., Bang, J., Barberio, E., Bargemann, J. W., Barillier, E., Basharina-Freshville, A., Baudis, L., Bauer, D., Bazyk, M., Beattie, K., Beaupere, N., Bell, N. F., Bellagamba, L., Benson, T., Bhatti, A., Biesiadzinski, T. P., Biondi, R., Biondi, Y., Birch, H. J., Bishop, E., Bismark, A., Boehm, C., Boese, K., Bolotnikov, A., Brás, P., Braun, R., Breskin, A., Brew, C. A. J., Brommer, S., Brown, A., Bruni, G., Budnik, R., Burdin, S., Cai, C., Capelli, C., Carini, G., Carmona-Benitez, M. C., Carter, M., Chauvin, A., Chawla, A., Chen, H., Cherwinka, J. J., Chin, Y. T., Chott, N. I., Chavez, A. P. Cimental, Clark, K., Colijn, A. P., Colling, D. J., Conrad, J., Converse, M. V., Coronel, R., Costanzo, D., Cottle, A., Cox, G., Cuenca-García, J. J., Curran, D., Cussans, D., D'Andrea, V., Garcia, L. C. Daniel, Darlington, I., Dave, S., David, A., Davies, G. J., Decowski, M. P., Deisting, A., Delgaudio, J., Dey, S., Di Donato, C., Di Felice, L., Di Gangi, P., Diglio, S., Ding, C., Dobson, J. E. Y., Doerenkamp, M., Drexlin, G., Druszkiewicz, E., Dunbar, C. L., Eitel, K., Elykov, A., Engel, R., Eriksen, S. R., Fayer, S., Fearon, N. M., Ferella, A. D., Ferrari, C., Fieldhouse, N., Fischer, H., Flaecher, H., Flehmke, T., Flierman, M., Fraser, E. D., Fruth, T. M. A., Fujikawa, K., Fulgione, W., Fuselli, C., Gaemers, P., Gaior, R., Gaitskell, R. J., Gallice, N., Galloway, M., Gao, F., Garroum, N., Geffre, A., Genovesi, J., Ghag, C., Ghosh, S., Giacomobono, R., Gibbons, R., Girard, F., Glade-Beucke, R., Glück, F., Gokhale, S., Grandi, L., Green, J., Grigat, J., van der Grinten, M. G. D., Größle, R., Guan, H., Guida, M., Gyorgy, P., Haiston, J. J., Hall, C. R., Hall, T., Hammann, R., Hannen, V., Hansmann-Menzemer, S., Hargittai, N., Hartigan-O'Connor, E., Haselschwardt, S. J., Hernandez, M., Hertel, S. A., Higuera, A., Hils, C., Hiraoka, K., Hoetzsch, L., Hoferichter, M., Homenides, G. J., Hood, N. F., Horn, M., Huang, D. Q., Hughes, S., Hunt, D., Iacovacci, M., Itow, Y., Jacquet, E., Jakob, J., James, R. S., Joerg, F., Jones, S., Kaboth, A. C., Kahlert, F., Kamaha, A. C., Kaminaga, Y., Kara, M., Kavrigin, P., Kazama, S., Keller, M., Kemp-Russell, P., Khaitan, D., Kharbanda, P., Kilminster, B., Kim, J., Kirk, R., Kleifges, M., Klute, M., Kobayashi, M., Kodroff, D., Koke, D., Kopec, A., Korolkova, E. V., Kraus, H., Kravitz, S., Kreczko, L., von Krosigk, B., Kudryavtsev, V. A., Kuger, F., Kurita, N., Landsman, H., Lang, R. F., Lawes, C., Lee, J., Lehnert, B., Leonard, D. S., Lesko, K. T., Levinson, L., Li, A., Li, I., Li, S., Liang, S., Liang, Z., Lin, J., Lin, Y. -T., Lindemann, S., Linden, S., Lindner, M., Lindote, A., Lippincott, W. H., Liu, K., Loizeau, J., Lombardi, F., Lopes, J. A. M., Lopes, M. I., Lorenzon, W., Loutit, M., Lu, C., Lucchetti, G. M., Luce, T., Luitz, S., Ma, Y., Macolino, C., Mahlstedt, J., Maier, B., Majewski, P. A., Manalaysay, A., Mancuso, A., Manenti, L., Mannino, R. L., Marignetti, F., Marley, T., Undagoitia, T. Marrodán, Martens, K., Masbou, J., Masson, E., Mastroianni, S., Maupin, C., McCabe, C., McCarthy, M. E., McKinsey, D. N., McLaughlin, J. B., Melchiorre, A., Menéndez, J., Messina, M., Miller, E. H., Milosovic, B., Milutinovic, S., Miuchi, K., Miyata, R., Mizrachi, E., Molinario, A., Monteiro, C. M. B., Monzani, M. E., Morå, K., Moriyama, S., Morrison, E., Morteau, E., Mosbacher, Y., Mount, B. J., Müller, J., Murdy, M., Murphy, A. St. J., Murra, M., Naylor, A., Nelson, H. N., Neves, F., Newstead, J. L., Nguyen, A., Ni, K., O'Hare, C., Oberlack, U., Obradovic, M., Olcina, I., Oliver-Mallory, K. C., Gann, G. D. Orebi, Orpwood, J., Ostrowskiy, I., Ouahada, S., Oyulmaz, K., Paetsch, B., Palladino, K. J., Palmer, J., Pan, Y., Pandurovic, M., Pannifer, N. J., Paramesvaran, S., Patton, S. J., Pellegrini, Q., Penning, B., Pereira, G., Peres, R., Perry, E., Pershing, T., Piastra, F., Pienaar, J., Piepke, A., Pierre, M., Plante, G., Pollmann, T. R., Principe, L., Qi, J., Qiao, K., Qie, Y., Qin, J., Radeka, S., Radeka, V., Rajado, M., García, D. Ramírez, Ravindran, A., Razeto, A., Reichenbacher, J., Rhyne, C. A., Richards, A., Rischbieter, G. R. C., Riyat, H. S., Rosero, R., Roy, A., Rushton, T., Rynders, D., Saakyan, R., Sanchez, L., Sanchez-Lucas, P., Santone, D., Santos, J. M. F. dos, Sartorelli, G., Sazzad, A. B. M. R., Scaffidi, A., Schnee, R. W., Schreiner, J., Schulte, P., Schulze, H., Eißing, Schumann, M., Schwenck, A., Schwenk, A., Lavina, L. Scotto, Selvi, M., Semeria, F., Shagin, P., Sharma, S., Shaw, S., Shen, W., Sherman, L., Shi, S., Shi, S. Y., Shimada, T., Shutt, T., Silk, J. J., Silva, C., Simgen, H., Sinev, G., Singh, R., Siniscalco, J., Solmaz, M., Solovov, V. N., Song, Z., Sorensen, P., Soria, J., Stanley, O., Steidl, M., Stenhouse, T., Stevens, A., Stifter, K., Sumner, T. J., Takeda, A., Tan, P. -L., Taylor, D. J., Taylor, W. C., Thers, D., Thümmler, T., Tiedt, D. R., Tönnies, F., Tong, Z., Toschi, F., Tovey, D. R., Tranter, J., Trask, M., Trinchero, G., Tripathi, M., Tronstad, D. R., Trotta, R., Tunnell, C. D., Urquijo, P., Usón, A., Utoyama, M., Vaitkus, A. C., Valentino, O., Valerius, K., Vecchi, S., Velan, V., Vetter, S., de Viveiros, L., Volta, G., Vorkapic, D., Wang, A., Wang, J. J., Wang, W., Wang, Y., Waters, D., Weerman, K. M., Weinheimer, C., Weiss, M., Wenz, D., Whitis, T. J., Wild, K., Williams, M., Wilson, M., Wilson, S. T., Wittweg, C., Wolf, J., Wolfs, F. L. H., Woodford, S., Woodward, D., Worcester, M., Wright, C. J., Wu, V. H. S., üstling, S. W, Wurm, M., Xia, Q., Xing, Y., Xu, D., Xu, J., Xu, Y., Xu, Z., Yamashita, M., Yang, L., Ye, J., Yeh, M., Yu, B., Zavattini, G., Zha, W., Zhong, M., and Zuber, K.

Subjects
Physics - Instrumentation and Detectors, High Energy Physics - Experiment, Nuclear Experiment
Abstract

The XLZD collaboration is developing a two-phase xenon time projection chamber with an active mass of 60 to 80 t capable of probing the remaining WIMP-nucleon interaction parameter space down to the so-called neutrino fog. In this work we show that, based on the performance of currently operating detectors using the same technology and a realistic reduction of radioactivity in detector materials, such an experiment will also be able to competitively search for neutrinoless double beta decay in $^{136}$Xe using a natural-abundance xenon target. XLZD can reach a 3$\sigma$ discovery potential half-life of 5.7$\times$10$^{27}$ yr (and a 90% CL exclusion of 1.3$\times$10$^{28}$ yr) with 10 years of data taking, corresponding to a Majorana mass range of 7.3-31.3 meV (4.8-20.5 meV). XLZD will thus exclude the inverted neutrino mass ordering parameter space and will start to probe the normal ordering region for most of the nuclear matrix elements commonly considered by the community., Comment: 29 pages, 7 figures

Published
2024

21. The XLZD Design Book: Towards the Next-Generation Liquid Xenon Observatory for Dark Matter and Neutrino Physics

Author

XLZD Collaboration, Aalbers, J., Abe, K., Adrover, M., Maouloud, S. Ahmed, Akerib, D. S., Musalhi, A. K. Al, Alder, F., Althueser, L., Amaral, D. W. P., Amarasinghe, C. S., Ames, A., Andrieu, B., Angelides, N., Angelino, E., Antunovic, B., Aprile, E., Araújo, H. M., Armstrong, J. E., Arthurs, M., Babicz, M., Bajpai, D., Baker, A., Balzer, M., Bang, J., Barberio, E., Bargemann, J. W., Barillier, E., Basharina-Freshville, A., Baudis, L., Bauer, D., Bazyk, M., Beattie, K., Beaupere, N., Bell, N. F., Bellagamba, L., Benson, T., Bhatti, A., Biesiadzinski, T. P., Biondi, R., Biondi, Y., Birch, H. J., Bishop, E., Bismark, A., Boehm, C., Boese, K., Bolotnikov, A., Brás, P., Braun, R., Breskin, A., Brew, C. A. J., Brommer, S., Brown, A., Bruni, G., Budnik, R., Burdin, S., Cai, C., Capelli, C., Carini, G., Carmona-Benitez, M. C., Carter, M., Chauvin, A., Chawla, A., Chen, H., Cherwinka, J. J., Chin, Y. T., Chott, N. I., Chavez, A. P. Cimental, Clark, K., Colijn, A. P., Colling, D. J., Conrad, J., Converse, M. V., Coronel, R., Costanzo, D., Cottle, A., Cox, G., Cuenca-García, J. J., Curran, D., Cussans, D., D'Andrea, V., Garcia, L. C. Daniel, Darlington, I., Dave, S., David, A., Davies, G. J., Decowski, M. P., Deisting, A., Delgaudio, J., Dey, S., Di Donato, C., Di Felice, L., Di Gangi, P., Diglio, S., Ding, C., Dobson, J. E. Y., Doerenkamp, M., Drexlin, G., Druszkiewicz, E., Dunbar, C. L., Eitel, K., Elykov, A., Engel, R., Eriksen, S. R., Fayer, S., Fearon, N. M., Ferella, A. D., Ferrari, C., Fieldhouse, N., Fischer, H., Flaecher, H., Flehmke, T., Flierman, M., Fraser, E. D., Fruth, T. M. A., Fujikawa, K., Fulgione, W., Fuselli, C., Gaemers, P., Gaior, R., Gaitskell, R. J., Gallice, N., Galloway, M., Gao, F., Garroum, N., Geffre, A., Genovesi, J., Ghag, C., Ghosh, S., Giacomobono, R., Gibbons, R., Girard, F., Glade-Beucke, R., Glück, F., Gokhale, S., Grandi, L., Green, J., Grigat, J., van der Grinten, M. G. D., Größle, R., Guan, H., Guida, M., Gyorgy, P., Haiston, J. J., Hall, C. R., Hall, T., Hammann, R., Hannen, V., Hansmann-Menzemer, S., Hargittai, N., Hartigan-O'Connor, E., Haselschwardt, S. J., Hernandez, M., Hertel, S. A., Higuera, A., Hils, C., Hiraoka, K., Hoetzsch, L., Hoferichter, M., Homenides, G. J., Hood, N. F., Horn, M., Huang, D. Q., Hughes, S., Hunt, D., Iacovacci, M., Itow, Y., Jacquet, E., Jakob, J., James, R. S., Joerg, F., Jones, S., Kaboth, A. C., Kahlert, F., Kamaha, A. C., Kaminaga, Y., Kara, M., Kavrigin, P., Kazama, S., Keller, M., Kemp-Russell, P., Khaitan, D., Kharbanda, P., Kilminster, B., Kim, J., Kirk, R., Kleifges, M., Klute, M., Kobayashi, M., Kodroff, D., Koke, D., Kopec, A., Korolkova, E. V., Kraus, H., Kravitz, S., Kreczko, L., von Krosigk, B., Kudryavtsev, V. A., Kuger, F., Kurita, N., Landsman, H., Lang, R. F., Lawes, C., Lee, J., Lehnert, B., Leonard, D. S., Lesko, K. T., Levinson, L., Li, A., Li, I., Li, S., Liang, S., Liang, Z., Lin, J., Lin, Y. -T., Lindemann, S., Linden, S., Lindner, M., Lindote, A., Lippincott, W. H., Liu, K., Loizeau, J., Lombardi, F., Lopes, J. A. M., Lopes, M. I., Lorenzon, W., Loutit, M., Lu, C., Lucchetti, G. M., Luce, T., Luitz, S., Ma, Y., Macolino, C., Mahlstedt, J., Maier, B., Majewski, P. A., Manalaysay, A., Mancuso, A., Manenti, L., Mannino, R. L., Marignetti, F., Marley, T., Undagoitia, T. Marrodán, Martens, K., Masbou, J., Masson, E., Mastroianni, S., Maupin, C., McCabe, C., McCarthy, M. E., McKinsey, D. N., McLaughlin, J. B., Melchiorre, A., Menéndez, J., Messina, M., Miller, E. H., Milosovic, B., Milutinovic, S., Miuchi, K., Miyata, R., Mizrachi, E., Molinario, A., Monteiro, C. M. B., Monzani, M. E., Morå, K., Moriyama, S., Morrison, E., Morteau, E., Mosbacher, Y., Mount, B. J., Müller, J., Murdy, M., Murphy, A. St. J., Murra, M., Naylor, A., Nelson, H. N., Neves, F., Newstead, J. L., Nguyen, A., Ni, K., O'Hare, C., Oberlack, U., Obradovic, M., Olcina, I., Oliver-Mallory, K. C., Gann, G. D. Orebi, Orpwood, J., Ostrowskiy, I., Ouahada, S., Oyulmaz, K., Paetsch, B., Palladino, K. J., Palmer, J., Pan, Y., Pandurovic, M., Pannifer, N. J., Paramesvaran, S., Patton, S. J., Pellegrini, Q., Penning, B., Pereira, G., Peres, R., Perry, E., Pershing, T., Piastra, F., Pienaar, J., Piepke, A., Pierre, M., Plante, G., Pollmann, T. R., Principe, L., Qi, J., Qiao, K., Qie, Y., Qin, J., Radeka, S., Radeka, V., Rajado, M., García, D. Ramírez, Ravindran, A., Razeto, A., Reichenbacher, J., Rhyne, C. A., Richards, A., Rischbieter, G. R. C., Riyat, H. S., Rosero, R., Roy, A., Rushton, T., Rynders, D., Saakyan, R., Sanchez, L., Sanchez-Lucas, P., Santone, D., Santos, J. M. F. dos, Sartorelli, G., Sazzad, A. B. M. R., Scaffidi, A., Schnee, R. W., Schreiner, J., Schulte, P., Schulze, H., Eißing, Schumann, M., Schwenck, A., Schwenk, A., Lavina, L. Scotto, Selvi, M., Semeria, F., Shagin, P., Sharma, S., Shaw, S., Shen, W., Sherman, L., Shi, S., Shi, S. Y., Shimada, T., Shutt, T., Silk, J. J., Silva, C., Simgen, H., Sinev, G., Singh, R., Siniscalco, J., Solmaz, M., Solovov, V. N., Song, Z., Sorensen, P., Soria, J., Stanley, O., Steidl, M., Stenhouse, T., Stevens, A., Stifter, K., Sumner, T. J., Takeda, A., Tan, P. -L., Taylor, D. J., Taylor, W. C., Thers, D., Thümmler, T., Tiedt, D. R., Tönnies, F., Tong, Z., Toschi, F., Tovey, D. R., Tranter, J., Trask, M., Trinchero, G., Tripathi, M., Tronstad, D. R., Trotta, R., Tunnell, C. D., Urquijo, P., Usón, A., Utoyama, M., Vaitkus, A. C., Valentino, O., Valerius, K., Vecchi, S., Velan, V., Vetter, S., de Viveiros, L., Volta, G., Vorkapic, D., Wang, A., Wang, J. J., Wang, W., Wang, Y., Waters, D., Weerman, K. M., Weinheimer, C., Weiss, M., Wenz, D., Whitis, T. J., Wild, K., Williams, M., Wilson, M., Wilson, S. T., Wittweg, C., Wolf, J., Wolfs, F. L. H., Woodford, S., Woodward, D., Worcester, M., Wright, C. J., Wu, V. H. S., üstling, S. W, Wurm, M., Xia, Q., Xing, Y., Xu, D., Xu, J., Xu, Y., Xu, Z., Yamashita, M., Yang, L., Ye, J., Yeh, M., Yu, B., Zavattini, G., Zha, W., Zhong, M., and Zuber, K.

Subjects
High Energy Physics - Experiment, High Energy Physics - Phenomenology, Physics - Instrumentation and Detectors
Abstract

This report describes the experimental strategy and technologies for a next-generation xenon observatory sensitive to dark matter and neutrino physics. The detector will have an active liquid xenon target mass of 60-80 tonnes and is proposed by the XENON-LUX-ZEPLIN-DARWIN (XLZD) collaboration. The design is based on the mature liquid xenon time projection chamber technology of the current-generation experiments, LZ and XENONnT. A baseline design and opportunities for further optimization of the individual detector components are discussed. The experiment envisaged here has the capability to explore parameter space for Weakly Interacting Massive Particle (WIMP) dark matter down to the neutrino fog, with a 3$\sigma$ evidence potential for the spin-independent WIMP-nucleon cross sections as low as $3\times10^{-49}\rm cm^2$ (at 40 GeV/c$^2$ WIMP mass). The observatory is also projected to have a 3$\sigma$ observation potential of neutrinoless double-beta decay of $^{136}$Xe at a half-life of up to $5.7\times 10^{27}$ years. Additionally, it is sensitive to astrophysical neutrinos from the atmosphere, sun, and galactic supernovae., Comment: 32 pages, 14 figures

Published
2024

22. Model-independent searches of new physics in DARWIN with a semi-supervised deep learning pipeline

Author

Aalbers, J., Abe, K., Adrover, M., Maouloud, S. Ahmed, Althueser, L., Amaral, D. W. P., Andrieu, B., Angelino, E., Martin, D. Antón, Antunovic, B., Aprile, E., Babicz, M., Bajpai, D., Balzer, M., Barberio, E., Baudis, L., Bazyk, M., Bell, N. F., Bellagamba, L., Biondi, R., Biondi, Y., Bismark, A., Boehm, C., Boese, K., Braun, R., Breskin, A., Brommer, S., Brown, A., Bruni, G., Budnik, R., Cai, C., Capelli, C., Chauvin, A., Chavez, A. P. Cimental, Colijn, A. P., Conrad, J., Cuenca-García, J. J., D'Andrea, V., Garcia, L. C. Daniel, Decowski, M. P., Deisting, A., Di Donato, C., Di Gangi, P., Diglio, S., Doerenkamp, M., Drexlin, G., Eitel, K., Elykov, A., Engel, R., Ferella, A. D., Ferrari, C., Fischer, H., Flehmke, T., Flierman, M., Fujikawa, K., Fulgione, W., Fuselli, C., Gaemers, P., Gaior, R., Galloway, M., Gao, F., Garroum, N., Giacomobono, R., Girard, F., Glade-Beucke, R., Glück, F., Grandi, L., Grigat, J., Größle, R., Guan, H., Guida, M., Gyorgy, P., Hammann, R., Hannen, V., Hansmann-Menzemer, S., Hargittai, N., Higuera, A., Hils, C., Hiraoka, K., Hoetzsch, L., Hoferichter, M., Hood, N. F., Iacovacci, M., Itow, Y., Jakob, J., James, R. S., Joerg, F., Kahlert, F., Kaminaga, Y., Kara, M., Kavrigin, P., Kazama, S., Keller, M., Kharbanda, P., Kilminster, B., Kleifges, M., Klute, M., Kobayashi, M., Koke, D., Kopec, A., von Krosigk, B., Kuger, F., LaCascio, L., Landsman, H., Lang, R. F., Levinson, L., Li, I., Li, A., Li, S., Liang, S., Liang, Z., Lin, Y. -T., Lindemann, S., Lindner, M., Liu, K., Loizeau, J., Lombardi, F., Long, J., Lopes, J. A. M., Lucchetti, G. M., Luce, T., Ma, Y., Macolino, C., Mahlstedt, J., Maier, B., Mancuso, A., Manenti, L., Marignetti, F., Undagoitia, T. Marrodán, Martens, K., Masbou, J., Masson, E., Mastroianni, S., Melchiorre, A., Menéndez, J., Messina, M., Milosovic, B., Milutinovic, S., Miuchi, K., Miyata, R., Molinario, A., Monteiro, C. M. B., Morå, K., Moriyama, S., Morteau, E., Mosbacher, Y., Müller, J., Murra, M., Newstead, J. L., Ni, K., O'Hare, C., Oberlack, U., Obradovic, M., Ostrowskiy, I., Ouahada, S., Paetsch, B., Pan, Y., Pandurovic, M., Pellegrini, Q., Peres, R., Piastra, F., Pienaar, J., Pierre, M., Plante, G., Pollmann, T. R., Principe, L., Qi, J., Qiao, K., Qin, J., Rajado, M., García, D. Ramírez, Ravindran, A., Razeto, A., Sanchez, L., Sanchez-Lucas, P., Sartorelli, G., Scaffidi, A., Schreiner, J., Schulte, P., Eißing, H. Schulze, Schumann, M., Schwenck, A., Schwenk, A., Lavina, L. Scotto, Selvi, M., Semeria, F., Shagin, P., Sharma, S., Shen, W., Shi, S. Y., Shimada, T., Simgen, H., Singh, R., Solmaz, M., Stanley, O., Steidl, M., Stevens, A., Takeda, A., Tan, P. -L., Thers, D., Thümmler, T., Tönnies, F., Toschi, F., Trinchero, G., Trotta, R., Tunnell, C. D., Urquijo, P., Utoyama, M., Valerius, K., Vecchi, S., Vetter, S., Volta, G., Vorkapic, D., Wang, W., Weerman, K. M., Weinheimer, C., Weiss, M., Wenz, D., Wilson, M., Wittweg, C., Wolf, J., Wu, V. H. S., Wüstling, S., Wurm, M., Xing, Y., Xu, D., Xu, Z., Yamashita, M., Yang, L., Ye, J., Yuan, L., Zavattini, G., Zhong, M., and Zuber, K.

Subjects
Physics - Instrumentation and Detectors
Abstract

We present a novel deep learning pipeline to perform a model-independent, likelihood-free search for anomalous (i.e., non-background) events in the proposed next generation multi-ton scale liquid Xenon-based direct detection experiment, DARWIN. We train an anomaly detector comprising a variational autoencoder and a classifier on extensive, high-dimensional simulated detector response data and construct a one-dimensional anomaly score optimised to reject the background only hypothesis in the presence of an excess of non-background-like events. We benchmark the procedure with a sensitivity study that determines its power to reject the background-only hypothesis in the presence of an injected WIMP dark matter signal, outperforming the classical, likelihood-based background rejection test. We show that our neural networks learn relevant energy features of the events from low-level, high-dimensional detector outputs, without the need to compress this data into lower-dimensional observables, thus reducing computational effort and information loss. For the future, our approach lays the foundation for an efficient end-to-end pipeline that eliminates the need for many of the corrections and cuts that are traditionally part of the analysis chain, with the potential of achieving higher accuracy and significant reduction of analysis time., Comment: 10 Figures, 3 Tables, 23 Pages (incl. references)

Published
2024

23. First Search for Light Dark Matter in the Neutrino Fog with XENONnT

Author

Aprile, E., Aalbers, J., Abe, K., Maouloud, S. Ahmed, Althueser, L., Andrieu, B., Angelino, E., Martin, D. Antón, Arneodo, F., Baudis, L., Bazyk, M., Bellagamba, L., Biondi, R., Bismark, A., Boese, K., Brown, A., Bruno, G., Budnik, R., Cai, C., Capelli, C., Cardoso, J. M. R., Chávez, A. P. Cimental, Colijn, A. P., Conrad, J., Cuenca-García, J. J., D'Andrea, V., Garcia, L. C. Daniel, Decowski, M. P., Deisting, A., Di Donato, C., Di Gangi, P., Diglio, S., Eitel, K., Morabit, S. el, Elykov, A., Ferella, A. D., Ferrari, C., Fischer, H., Flehmke, T., Flierman, M., Fulgione, W., Fuselli, C., Gaemers, P., Gaior, R., Galloway, M., Gao, F., Ghosh, S., Giacomobono, R., Glade-Beucke, R., Grandi, L., Grigat, J., Guan, H., Guida, M., Gyorgy, P., Hammann, R., Higuera, A., Hils, C., Hoetzsch, L., Hood, N. F., Iacovacci, M., Itow, Y., Jakob, J., Joerg, F., Kaminaga, Y., Kara, M., Kavrigin, P., Kazama, S., Kobayashi, M., Koke, D., Kopec, A., Landsman, H., Lang, R. F., Levinson, L., Li, I., Li, S., Liang, S., Lin, Y. -T., Lindemann, S., Lindner, M., Liu, K., Liu, M., Loizeau, J., Lombardi, F., Long, J., Lopes, J. A. M., Luce, T., Ma, Y., Macolino, C., Mahlstedt, J., Mancuso, A., Manenti, L., Marignetti, F., Undagoitia, T. Marrodán, Martens, K., Masbou, J., Masson, E., Mastroianni, S., Melchiorre, A., Merz, J., Messina, M., Michael, A., Miuchi, K., Molinario, A., Moriyama, S., Morå, K., Mosbacher, Y., Murra, M., Müller, J., Ni, K., Oberlack, U., Paetsch, B., Pan, Y., Pellegrini, Q., Peres, R., Peters, C., Pienaar, J., Pierre, M., Plante, G., Pollmann, T. R., Principe, L., Qi, J., Qin, J., García, D. Ramírez, Rajado, M., Singh, R., Sanchez, L., Santos, J. M. F. dos, Sarnoff, I., Sartorelli, G., Schreiner, J., Schulte, P., Eißing, H. Schulze, Schumann, M., Lavina, L. Scotto, Selvi, M., Semeria, F., Shagin, P., Shi, S., Shi, J., Silva, M., Simgen, H., Szyszka, C., Takeda, A., Tan, P. -L., Thers, D., Toschi, F., Trinchero, G., Tunnell, C. D., Tönnies, F., Valerius, K., Vecchi, S., Vetter, S., Solar, F. I. Villazon, Volta, G., Weinheimer, C., Weiss, M., Wenz, D., Wittweg, C., Wu, V. H. S., Xing, Y., Xu, D., Xu, Z., Yamashita, M., Yang, L., Ye, J., Yuan, L., Zavattini, G., and Zhong, M.

Subjects
High Energy Physics - Experiment
Abstract

We search for dark matter (DM) with a mass [3,12] $\mathrm{GeV} / c^2$ using an exposure of 3.51 $\mathrm{t} \times \mathrm{y}$ with the XENONnT experiment. We consider spin-independent, spin-dependent, momentum-dependent, mirror DM, and self-interacting DM with a light mediator coupling to Standard Model particles. Using a lowered energy threshold compared to the previous WIMP search, a blind analysis of [0.5, 5.0] $\mathrm{keV}$ nuclear recoil events reveals no significant signal excess over the background. XENONnT excludes spin-independent DM-nucleon cross sections $>2.5 \times 10^{-45} \mathrm{~cm}^2$ at $90 \%$ confidence level for 6 $\mathrm{GeV} / c^2$ DM. The solar ${ }^8 \mathrm{B}$ neutrino coherent elastic neutrino-nucleus scattering background accounts for approximately half of the background in the signal region. In the considered mass range, the DM sensitivity approaches the 'neutrino fog', the limitation where neutrinos produce a signal that is indistinguishable from that of light DM-xenon nucleus scattering.

Published
2024

24. XENONnT Analysis: Signal Reconstruction, Calibration and Event Selection

Author

XENON Collaboration, Aprile, E., Aalbers, J., Abe, K., Maouloud, S. Ahmed, Althueser, L., Andrieu, B., Angelino, E., Angevaare, J. R., Martin, D. Antón, Arneodo, F., Baudis, L., Bazyk, M., Bellagamba, L., Biondi, R., Bismark, A., Boese, K., Brown, A., Bruno, G., Budnik, R., Cardoso, J. M. R., Chávez, A. P. Cimental, Colijn, A. P., Conrad, J., Cuenca-García, J. J., D'Andrea, V., Garcia, L. C. Daniel, Decowski, M. P., Deisting, A., Di Donato, C., Di Gangi, P., Diglio, S., Eitel, K., Elykov, A., Ferella, A. D., Ferrari, C., Fischer, H., Flehmke, T., Flierman, M., Fulgione, W., Fuselli, C., Gaemers, P., Gaior, R., Galloway, M., Gao, F., Ghosh, S., Giacomobono, R., Glade-Beucke, R., Grandi, L., Grigat, J., Guan, H., Guida, M., Gyoergy, P., Hammann, R., Higuera, A., Hils, C., Hoetzsch, L., Hood, N. F., Iacovacci, M., Itow, Y., Jakob, J., Joerg, F., Kaminaga, Y., Kara, M., Kavrigin, P., Kazama, S., Kobayashi, M., Koke, D., Kopec, A., Kuger, F., Landsman, H., Lang, R. F., Levinson, L., Li, I., Li, S., Liang, S., Lin, Y. -T., Lindemann, S., Lindner, M., Liu, K., Loizeau, J., Lombardi, F., Long, J., Lopes, J. A. M., Luce, T., Ma, Y., Macolino, C., Mahlstedt, J., Mancuso, A., Manenti, L., Marignetti, F., Undagoitia, T. Marrodán, Martens, K., Masbou, J., Masson, E., Mastroianni, S., Melchiorre, A., Merz, J., Messina, M., Michael, A., Miuchi, K., Molinario, A., Moriyama, S., Morå, K., Mosbacher, Y., Murra, M., Müller, J., Ni, K., Oberlack, U., Paetsch, B., Pan, Y., Pellegrini, Q., Peres, R., Peters, C., Pienaar, J., Pierre, M., Plante, G., Pollmann, T. R., Principe, L., Qi, J., Qin, J., García, D. Ramírez, Rajado, M., Singh, R., Sanchez, L., Santos, J. M. F. dos, Sarnoff, I., Sartorelli, G., Schreiner, J., Schulte, D., Schulte, P., Eißing, H. Schulze, Schumann, M., Lavina, L. Scotto, Selvi, M., Semeria, F., Shagin, P., Shi, S., Shi, J., Silva, M., Simgen, H., Takeda, A., Tan, P. -L., Terliuk, A., Thers, D., Toschi, F., Trinchero, G., Tunnell, C. D., Tönnies, F., Valerius, K., Vecchi, S., Vetter, S., Solar, F. I. Villazon, Volta, G., Weinheimer, C., Weiss, M., Wenz, D., Wittweg, C., Wu, V. H. S., Xing, Y., Xu, D., Xu, Z., Yamashita, M., Yang, L., Ye, J., Yuan, L., Zavattini, G., and Zhong, M.

Subjects
High Energy Physics - Experiment, Physics - Data Analysis, Statistics and Probability
Abstract

The XENONnT experiment, located at the INFN Laboratori Nazionali del Gran Sasso, Italy, features a 5.9 tonne liquid xenon time projection chamber surrounded by an instrumented neutron veto, all of which is housed within a muon veto water tank. Due to extensive shielding and advanced purification to mitigate natural radioactivity, an exceptionally low background level of (15.8 $\pm$ 1.3) events/(tonne$\cdot$year$\cdot$keV) in the (1, 30) keV region is reached in the inner part of the TPC. XENONnT is thus sensitive to a wide range of rare phenomena related to Dark Matter and Neutrino interactions, both within and beyond the Standard Model of particle physics, with a focus on the direct detection of Dark Matter in the form of weakly interacting massive particles (WIMPs). From May 2021 to December 2021, XENONnT accumulated data in rare-event search mode with a total exposure of one tonne $\cdot$ year. This paper provides a detailed description of the signal reconstruction methods, event selection procedure, and detector response calibration, as well as an overview of the detector performance in this time frame. This work establishes the foundational framework for the `blind analysis' methodology we are using when reporting XENONnT physics results., Comment: 27 pages, 23 figures

Published
2024

25. First Indication of Solar $^8$B Neutrinos via Coherent Elastic Neutrino-Nucleus Scattering with XENONnT

Author

Aprile, E., Aalbers, J., Abe, K., Maouloud, S. Ahmed, Althueser, L., Andrieu, B., Angelino, E., Martin, D. Antón, Arneodo, F., Baudis, L., Bazyk, M., Bellagamba, L., Biondi, R., Bismark, A., Boese, K., Brown, A., Bruno, G., Budnik, R., Cai, C., Capelli, C., Cardoso, J. M. R., Chávez, A. P. Cimental, Colijn, A. P., Conrad, J., Cuenca-García, J. J., D'Andrea, V., Garcia, L. C. Daniel, Decowski, M. P., Deisting, A., Di Donato, C., Di Gangi, P., Diglio, S., Eitel, K., Elykov, A., Ferella, A. D., Ferrari, C., Fischer, H., Flehmke, T., Flierman, M., Fulgione, W., Fuselli, C., Gaemers, P., Gaior, R., Galloway, M., Gao, F., Ghosh, S., Giacomobono, R., Glade-Beucke, R., Grandi, L., Grigat, J., Guan, H., Guida, M., Gyorgy, P., Hammann, R., Higuera, A., Hils, C., Hoetzsch, L., Hood, N. F., Iacovacci, M., Itow, Y., Jakob, J., Joerg, F., Kaminaga, Y., Kara, M., Kavrigin, P., Kazama, S., Kobayashi, M., Koke, D., Kopec, A., Kuger, F., Landsman, H., Lang, R. F., Levinson, L., Li, I., Li, S., Liang, S., Lin, Y. -T., Lindemann, S., Lindner, M., Liu, K., Liu, M., Loizeau, J., Lombardi, F., Long, J., Lopes, J. A. M., Luce, T., Ma, Y., Macolino, C., Mahlstedt, J., Mancuso, A., Manenti, L., Marignetti, F., Undagoitia, T. Marrodán, Martens, K., Masbou, J., Masson, E., Mastroianni, S., Melchiorre, A., Merz, J., Messina, M., Michael, A., Miuchi, K., Molinario, A., Moriyama, S., Morå, K., Mosbacher, Y., Murra, M., Müller, J., Ni, K., Oberlack, U., Paetsch, B., Pan, Y., Pellegrini, Q., Peres, R., Peters, C., Pienaar, J., Pierre, M., Plante, G., Pollmann, T. R., Principe, L., Qi, J., Qin, J., García, D. Ramírez, Rajado, M., Singh, R., Sanchez, L., Santos, J. M. F. dos, Sarnoff, I., Sartorelli, G., Schreiner, J., Schulte, P., Eißing, H. Schulze, Schumann, M., Lavina, L. Scotto, Selvi, M., Semeria, F., Shagin, P., Shi, S., Shi, J., Silva, M., Simgen, H., Takeda, A., Tan, P. -L., Thers, D., Toschi, F., Trinchero, G., Tunnell, C. D., Tönnies, F., Valerius, K., Vecchi, S., Vetter, S., Solar, F. I. Villazon, Volta, G., Weinheimer, C., Weiss, M., Wenz, D., Wittweg, C., Wu, V. H. S., Xing, Y., Xu, D., Xu, Z., Yamashita, M., Yang, L., Ye, J., Yuan, L., Zavattini, G., and Zhong, M.

Subjects
Nuclear Experiment, Astrophysics - Solar and Stellar Astrophysics, High Energy Physics - Experiment, Physics - Instrumentation and Detectors
Abstract

We present the first measurement of nuclear recoils from solar $^8$B neutrinos via coherent elastic neutrino-nucleus scattering with the XENONnT dark matter experiment. The central detector of XENONnT is a low-background, two-phase time projection chamber with a 5.9 t sensitive liquid xenon target. A blind analysis with an exposure of 3.51 t$\times$yr resulted in 37 observed events above 0.5 keV, with ($26.4^{+1.4}_{-1.3}$) events expected from backgrounds. The background-only hypothesis is rejected with a statistical significance of 2.73 $\sigma$. The measured $^8$B solar neutrino flux of $(4.7_{-2.3}^{+3.6})\times 10^6 \mathrm{cm}^{-2}\mathrm{s}^{-1}$ is consistent with results from the Sudbury Neutrino Observatory. The measured neutrino flux-weighted CE$\nu$NS cross section on Xe of $(1.1^{+0.8}_{-0.5})\times10^{-39} \mathrm{cm}^2$ is consistent with the Standard Model prediction. This is the first direct measurement of nuclear recoils from solar neutrinos with a dark matter detector.

Published
2024
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26. Exploring Simple-Population and Multiple-Population Globular Clusters in the Outer Galactic Halo using the Hubble Space Telescope

Author

Lagioia, E. P., Milone, A. P., Legnardi, M. V., Cordoni, G., Dondoglio, E., Renzini, A., Tailo, M., Ziliotto, T., Carlos, M., Jang, S., Marino, A. F., Mohandasan, A., Qi, J., Rangwal, G., Bortolan, E., and Muratore, F.

Subjects
Astrophysics - Astrophysics of Galaxies, Astrophysics - Solar and Stellar Astrophysics
Abstract

The pseudo two-color diagram, known as chromosome map (ChM), is a valuable tool for identifying globular clusters (GCs) that consist of single or multiple stellar populations (MPs). Recent surveys of Galactic GCs using the ChM have provided stringent observational constraints on the formation of GCs and their stellar populations. However, these surveys have primarily focused on GCs at moderate distances from the Galactic center and composed of MPs. In this paper, we present the first detailed study of the stellar composition of four GCs in the outer halo of the Milky Way: Arp 2, Ruprecht 106, Terzan 7, and Terzan 8. Our analysis is based on high-precision photometry obtained from images collected with the Hubble Space Telescope in the F275W, F336W, F438W, F606W, and F814W bands. We find that Ruprecht 106 and Terzan 7 are composed solely of a single stellar population, whereas Arp 2 and Terzan 8 host both first- and second-population stars. In these clusters, the second population comprises about half and one-third of the total number of GC stars, respectively. The results from this paper and the literature suggest that the threshold in the initial GC mass, if present, should be smaller than approximately 10^5 M$_{\odot}$. The first-population stars of Arp 2 and Terzan 8, along with the stars of the simple-population GCs Ruprecht 106 and Terzan 7, exhibit intrinsic F275W - F814W color spreads, likely indicative of [Fe/H] variations of approximately 0.05 -- 0.30 dex. This suggests that star-to-star metallicity variations are a common feature of star clusters, regardless of the presence of MPs., Comment: Accepted for publication in ApJ, 17 pages, 7 figures

Published
2024

27. XENONnT WIMP Search: Signal & Background Modeling and Statistical Inference

Author

XENON Collaboration, Aprile, E., Aalbers, J., Abe, K., Maouloud, S. Ahmed, Althueser, L., Andrieu, B., Angelino, E., Martin, D. Antón, Arneodo, F., Baudis, L., Bazyk, M., Bellagamba, L., Biondi, R., Bismark, A., Boese, K., Brown, A., Bruno, G., Budnik, R., Cardoso, J. M. R., Chávez, A. P. Cimental, Colijn, A. P., Conrad, J., Cuenca-García, J. J., D'Andrea, V., Garcia, L. C. Daniel, Decowski, M. P., Di Donato, C., Di Gangi, P., Diglio, S., Eitel, K., Elykov, A., Ferella, A. D., Ferrari, C., Fischer, H., Flehmke, T., Flierman, M., Fulgione, W., Fuselli, C., Gaemers, P., Gaior, R., Galloway, M., Gao, F., Ghosh, S., Giacomobono, R., Glade-Beucke, R., Grandi, L., Grigat, J., Guan, H., Guida, M., Gyoergy, P., Hammann, R., Higuera, A., Hils, C., Hoetzsch, L., Hood, N. F., Iacovacci, M., Itow, Y., Jakob, J., Joerg, F., Kaminaga, Y., Kara, M., Kavrigin, P., Kazama, S., Kobayashi, M., Kopec, A., Kuger, F., Landsman, H., Lang, R. F., Levinson, L., Li, I., Li, S., Liang, S., Lin, Y. -T., Lindemann, S., Lindner, M., Liu, K., Loizeau, J., Lombardi, F., Long, J., Lopes, J. A. M., Luce, T., Ma, Y., Macolino, C., Mahlstedt, J., Mancuso, A., Manenti, L., Marignetti, F., Undagoitia, T. Marrodán, Martens, K., Masbou, J., Masson, E., Mastroianni, S., Melchiorre, A., Messina, M., Michael, A., Miuchi, K., Molinario, A., Moriyama, S., Morå, K., Mosbacher, Y., Murra, M., Müller, J., Ni, K., Oberlack, U., Paetsch, B., Pan, Y., Pellegrini, Q., Peres, R., Peters, C., Pienaar, J., Pierre, M., Plante, G., Pollmann, T. R., Principe, L., Qi, J., Qin, J., García, D. Ramírez, Rajado, M., Singh, R., Sanchez, L., Santos, J. M. F. dos, Sarnoff, I., Sartorelli, G., Schreiner, J., Schulte, D., Schulte, P., Eißing, H. Schulze, Schumann, M., Lavina, L. Scotto, Selvi, M., Semeria, F., Shagin, P., Shi, S., Shi, J., Silva, M., Simgen, H., Takeda, A., Tan, P. -L., Terliuk, A., Thers, D., Toschi, F., Trinchero, G., Tunnell, C. D., Tönnies, F., Valerius, K., Vecchi, S., Vetter, S., Solar, F. I. Villazon, Volta, G., Weinheimer, C., Weiss, M., Wenz, D., Wittweg, C., Wu, V. H. S., Xing, Y., Xu, D., Xu, Z., Yamashita, M., Yang, L., Ye, J., Yuan, L., Zavattini, G., and Zhong, M.

Subjects
Physics - Data Analysis, Statistics and Probability, Astrophysics - Instrumentation and Methods for Astrophysics, High Energy Physics - Experiment, Physics - Instrumentation and Detectors
Abstract

The XENONnT experiment searches for weakly-interacting massive particle (WIMP) dark matter scattering off a xenon nucleus. In particular, XENONnT uses a dual-phase time projection chamber with a 5.9-tonne liquid xenon target, detecting both scintillation and ionization signals to reconstruct the energy, position, and type of recoil. A blind search for nuclear recoil WIMPs with an exposure of 1.1 tonne-years yielded no signal excess over background expectations, from which competitive exclusion limits were derived on WIMP-nucleon elastic scatter cross sections, for WIMP masses ranging from 6 GeV/$c^2$ up to the TeV/$c^2$ scale. This work details the modeling and statistical methods employed in this search. By means of calibration data, we model the detector response, which is then used to derive background and signal models. The construction and validation of these models is discussed, alongside additional purely data-driven backgrounds. We also describe the statistical inference framework, including the definition of the likelihood function and the construction of confidence intervals., Comment: 20 pages, 10 figures

Published
2024

30. Data quality control system and long-term performance monitor of the LHAASO-KM2A

Author

Cao, Zhen, Aharonian, F., Axikegu, Bai, Y. X., Bao, Y. W., Bastieri, D., Bi, X. J., Bi, Y. J., Bian, W., Bukevich, A. V., Cao, Q., Cao, W. Y., Cao, Zhe, Chang, J., Chang, J. F., Chen, A. M., Chen, E. S., Chen, H. X., Chen, Liang, Chen, Lin, Chen, Long, Chen, M. J., Chen, M. L., Chen, Q. H., Chen, S., Chen, S. H., Chen, S. Z., Chen, T. L., Chen, Y., Cheng, N., Cheng, Y. D., Cui, M. Y., Cui, S. W., Cui, X. H., Cui, Y. D., Dai, B. Z., Dai, H. L., Dai, Z. G., Danzengluobu, Dong, X. Q., Duan, K. K., Fan, J. H., Fan, Y. Z., Fang, J., Fang, J. H., Fang, K., Feng, C. F., Feng, H., Feng, L., Feng, S. H., Feng, X. T., Feng, Y., Feng, Y. L., Gabici, S., Gao, B., Gao, C. D., Gao, Q., Gao, W., Gao, W. K., Ge, M. M., Geng, L. S., Giacinti, G., Gong, G. H., Gou, Q. B., Gu, M. H., Guo, F. L., Guo, X. L., Guo, Y. Q., Guo, Y. Y., Han, Y. A., Hasan, M., He, H. H., He, H. N., He, J. Y., He, Y., Hor, Y. K., Hou, B. W., Hou, C., Hou, X., Hu, H. B., Hu, Q., Hu, S. C., Huang, D. H., Huang, T. Q., Huang, W. J., Huang, X. T., Huang, X. Y., Huang, Y., Ji, X. L., Jia, H. Y., Jia, K., Jiang, K., Jiang, X. W., Jiang, Z. J., Jin, M., Kang, M. M., Karpikov, I., Kuleshov, D., Kurinov, K., Li, B. B., Li, C. M., Li, Cheng, Li, Cong, Li, D., Li, F., Li, H. B., Li, H. C., Li, Jian, Li, Jie, Li, K., Li, S. D., Li, W. L., Li, X. R., Li, Xin, Li, Y. Z., Li, Zhe, Li, Zhuo, Liang, E. W., Liang, Y. F., Lin, S. J., Liu, B., Liu, C., Liu, D., Liu, D. B., Liu, H., Liu, H. D., Liu, J., Liu, J. L., Liu, M. Y., Liu, R. Y., Liu, S. M., Liu, W., Liu, Y., Liu, Y. N., Luo, Q., Luo, Y., Lv, H. K., Ma, B. Q., Ma, L. L., Ma, X. H., Mao, J. R., Min, Z., Mitthumsiri, W., Mu, H. J., Nan, Y. C., Neronov, A., Ou, L. J., Pattarakijwanich, P., Pei, Z. Y., Qi, J. C., Qi, M. Y., Qiao, B. Q., Qin, J. J., Raza, A., Ruffolo, D., Sáiz, A., Saeed, M., Semikoz, D., Shao, L., Shchegolev, O., Sheng, X. D., Shu, F. W., Song, H. C., Stenkin, Yu. V., Stepanov, V., Su, Y., Sun, D. X., Sun, Q. N., Sun, X. N., Sun, Z. B., Takata, J., Tam, P. H. T., Tang, Q. W., Tang, R., Tang, Z. B., Tian, W. W., Wang, C., Wang, C. B., Wang, G. W., Wang, H. G., Wang, H. H., Wang, J. C., Wang, Kai, Wang, L. P., Wang, L. Y., Wang, P. H., Wang, R., Wang, W., Wang, X. G., Wang, X. Y., Wang, Y., Wang, Y. D., Wang, Y. J., Wang, Z. H., Wang, Z. X., Wang, Zhen, Wang, Zheng, Wei, D. M., Wei, J. J., Wei, Y. J., Wen, T., Wu, C. Y., Wu, H. R., Wu, Q. W., Wu, S., Wu, X. F., Wu, Y. S., Xi, S. Q., Xia, J., Xiang, G. M., Xiao, D. X., Xiao, G., Xin, Y. L., Xing, Y., Xiong, D. R., Xiong, Z., Xu, D. L., Xu, R. F., Xu, R. X., Xu, W. L., Xue, L., Yan, D. H., Yan, J. Z., Yan, T., Yang, C. W., Yang, C. Y., Yang, F., Yang, F. F., Yang, L. L., Yang, M. J., Yang, R. Z., Yang, W. X., Yao, Y. H., Yao, Z. G., Yin, L. Q., Yin, N., You, X. H., You, Z. Y., Yu, Y. H., Yuan, Q., Yue, H., Zeng, H. D., Zeng, T. X., Zeng, W., Zha, M., Zhang, B. B., Zhang, F., Zhang, H., Zhang, H. M., Zhang, H. Y., Zhang, J. L., Zhang, Li, Zhang, P. F., Zhang, P. P., Zhang, R., Zhang, S. B., Zhang, S. R., Zhang, S. S., Zhang, X., Zhang, X. P., Zhang, Y. F., Zhang, Yi, Zhang, Yong, Zhao, B., Zhao, J., Zhao, L., Zhao, L. Z., Zhao, S. P., Zhao, X. H., Zheng, F., Zhong, W. J., Zhou, B., Zhou, H., Zhou, J. N., Zhou, M., Zhou, P., Zhou, R., Zhou, X. X., Zhu, B. Y., Zhu, C. G., Zhu, F. R., Zhu, H., Zhu, K. J., Zou, Y. C., and Zuo, X.

Subjects
Astrophysics - Instrumentation and Methods for Astrophysics, High Energy Physics - Experiment, Physics - Instrumentation and Detectors
Abstract

The KM2A is the largest sub-array of the Large High Altitude Air Shower Observatory (LHAASO). It consists of 5216 electromagnetic particle detectors (EDs) and 1188 muon detectors (MDs). The data recorded by the EDs and MDs are used to reconstruct primary information of cosmic ray and gamma-ray showers. This information is used for physical analysis in gamma-ray astronomy and cosmic ray physics. To ensure the reliability of the LHAASO-KM2A data, a three-level quality control system has been established. It is used to monitor the status of detector units, stability of reconstructed parameters and the performance of the array based on observations of the Crab Nebula and Moon shadow. This paper will introduce the control system and its application on the LHAASO-KM2A data collected from August 2021 to July 2023. During this period, the pointing and angular resolution of the array were stable. From the observations of the Moon shadow and Crab Nebula, the results achieved using the two methods are consistent with each other. According to the observation of the Crab Nebula at energies from 25 TeV to 100 TeV, the time averaged pointing errors are estimated to be $-0.003^{\circ} \pm 0.005^{\circ}$ and $0.001^{\circ} \pm 0.006^{\circ}$ in the R.A. and Dec directions, respectively., Comment: 15 pages, 9 figures

Published
2024

31. Offline tagging of radon-induced backgrounds in XENON1T and applicability to other liquid xenon detectors

Author

Aprile, E., Aalbers, J., Abe, K., Maouloud, S. Ahmed, Althueser, L., Andrieu, B., Angelino, E., Angevaare, J. R., Martin, D. Antón, Arneodo, F., Baudis, L., Baxter, A. L., Bazyk, M., Bellagamba, L., Biondi, R., Bismark, A., Brookes, E. J., Brown, A., Bruno, G., Budnik, R., Bui, T. K., Cardoso, J. M. R., Chavez, A. P. Cimental, Colijn, A. P., Conrad, J., Cuenca-García, J. J., D'Andrea, V., Garcia, L. C. Daniel, Decowski, M. P., Di Donato, C., Di Gangi, P., Diglio, S., Eitel, K., Elykov, A., Ferella, A. D., Ferrari, C., Fischer, H., Flehmke, T., Flierman, M., Fulgione, W., Fuselli, C., Gaemers, P., Gaior, R., Galloway, M., Gao, F., Ghosh, S., Glade-Beucke, R., Grandi, L., Grigat, J., Guan, H., Guida, M., Hammann, R., Higuera, A., Hils, C., Hoetzsch, L., Hood, N. F., Iacovacci, M., Itow, Y., Jakob, J., Joerg, F., Joy, A., Kaminaga, Y., Kara, M., Kavrigin, P., Kazama, S., Kobayashi, M., Kopec, A., Kuger, F., Landsman, H., Lang, R. F., Levinson, L., Li, I., Li, S., Liang, S., Lin, Y. T., Lindemann, S., Lindner, M., Liu, K., Loizeau, J., Lombardi, F., Long, J., Lopes, J. A. M., Luce, T., Ma, Y., Macolino, C., Mahlstedt, J., Mancuso, A., Manenti, L., Marignetti, F., Undagoitia, T. Marrodán, Martens, K., Masbou, J., Masson, E., Mastroianni, S., Melchiorre, A., Messina, M., Michael, A., Miuchi, K., Molinario, A., Moriyama, S., Morå, K., Mosbacher, Y., Murra, M., Müller, J., Ni, K., Oberlack, U., Paetsch, B., Palacio, J., Pan, Y., Pellegrini, Q., Peres, R., Peters, C., Pienaar, J., Pierre, M., Plante, G., Pollmann, T. R., Principe, L., Qi, J., Qin, J., García, D. Ramírez, Rajado, M., Shi, J., Singh, R., Sanchez, L., Santos, J. M. F. dos, Sarnoff, I., Sartorelli, G., Schreiner, J., Schulte, D., Schulte, P., Eißing, H. Schulze, Schumann, M., Lavina, L. Scotto, Selvi, M., Semeria, F., Shagin, P., Shi, S., Silva, M., Simgen, H., Takeda, A., Tan, P. -L., Terliuk, A., Thers, D., Toschi, F., Trinchero, G., Tunnell, C., Tönnies, F., Valerius, K., Vecchi, S., Vetter, S., Volta, G., Weinheimer, C., Weiss, M., Wenz, D., Wittweg, C., Wolf, T., Wu, V. H. S., Xing, Y., Xu, D., Xu, Z., Yamashita, M., Yang, L., Ye, J., Yuan, L., Zavattini, G., Zhong, M., and Zhu, T.

Subjects
High Energy Physics - Experiment, Physics - Instrumentation and Detectors
Abstract

This paper details the first application of a software tagging algorithm to reduce radon-induced backgrounds in liquid noble element time projection chambers, such as XENON1T and XENONnT. The convection velocity field in XENON1T was mapped out using $^{222}\text{Rn}$ and $^{218}\text{Po}$ events, and the root-mean-square convection speed was measured to be $0.30 \pm 0.01$ cm/s. Given this velocity field, $^{214}\text{Pb}$ background events can be tagged when they are followed by $^{214}\text{Bi}$ and $^{214}\text{Po}$ decays, or preceded by $^{218}\text{Po}$ decays. This was achieved by evolving a point cloud in the direction of a measured convection velocity field, and searching for $^{214}\text{Bi}$ and $^{214}\text{Po}$ decays or $^{218}\text{Po}$ decays within a volume defined by the point cloud. In XENON1T, this tagging system achieved a $^{214}\text{Pb}$ background reduction of $6.2^{+0.4}_{-0.9}\%$ with an exposure loss of $1.8\pm 0.2 \%$, despite the timescales of convection being smaller than the relevant decay times. We show that the performance can be improved in XENONnT, and that the performance of such a software-tagging approach can be expected to be further improved in a diffusion-limited scenario. Finally, a similar method might be useful to tag the cosmogenic $^{137}\text{Xe}$ background, which is relevant to the search for neutrinoless double-beta decay., Comment: 17 pages, 19 figures

Published
2024

32. The pervasiveness of shape coexistence in nuclear pair condensates

Author

Lei, Y., Qi, J., Lu, Y., Jiang, H., Qin, Z. Z., Liu, D., and Johnson, Calvin W.

Subjects
Nuclear Theory
Abstract

We investigate nuclear shape coexistence for a wide range of even-even nuclides. By varying general pair condensates, which include Slater determinants as a limit but also allow for arbitrary pairing channels, we frequently find multiple coexisting mimina, and often more than two. This is consistent with recent experimental results. In order to measure general pairwise correlations beyond a simple Slater determinant, we introduce a novel entropy-like measure, which is smallest mid-shell and largest near shell closures; this is consistent with a picture of pairing-like behavior dominating near closed shells and deformation mid-shell. After surveying nuclides spanning from the $sd$ shell to nuclides between magic numbers 50 and 82, we focus on the six lightest nuclei with shape coexistence. Angular-momentum projected variational pair condensate (PVPC) calculations identify band structures, including two newly proposed coexisting bands in $^{26}$Si/Mg and $^{24}$Si/Ne. The PVPC results agree well with data, providing robust experimental support for the pervasiveness of coexistence in these light nuclei., Comment: 13 pages, 5 figures

Published
2024
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33. The XENONnT Dark Matter Experiment

Author

XENON Collaboration, Aprile, E., Aalbers, J., Abe, K., Maouloud, S. Ahmed, Althueser, L., Andrieu, B., Angelino, E., Angevaare, J. R., Antochi, V. C., Martin, D. Antón, Arneodo, F., Balata, M., Baudis, L., Baxter, A. L., Bazyk, M., Bellagamba, L., Biondi, R., Bismark, A., Brookes, E. J., Brown, A., Bruenner, S., Bruno, G., Budnik, R., Bui, T. K., Cai, C., Cardoso, J. M. R., Cassese, F., Chiarini, A., Cichon, D., Chavez, A. P. Cimental, Colijn, A. P., Conrad, J., Corrieri, R., Cuenca-García, J. J., Cussonneau, J. P., Dadoun, O., D'Andrea, V., Decowski, M. P., De Fazio, B., Di Gangi, P., Diglio, S., Disdier, J. M., Douillet, D., Eitel, K., Elykov, A., Farrell, S., Ferella, A. D., Ferrari, C., Fischer, H., Flierman, M., Form, S., Front, D., Fulgione, W., Fuselli, C., Gaemers, P., Gaior, R., Rosso, A. Gallo, Galloway, M., Gao, F., Gardner, R., Garroum, N., Glade-Beucke, R., Grandi, L., Grigat, J., Guan, H., Guerzoni, M., Guida, M., Hammann, R., Higuera, A., Hils, C., Hoetzsch, L., Hood, N. F., Howlett, J., Huhmann, C., Iacovacci, M., Iaquaniello, G., Iven, L., Itow, Y., Jakob, J., Joerg, F., Joy, A., Kara, M., Kavrigin, P., Kazama, S., Kobayashi, M., Koltman, G., Kopec, A., Kuger, F., Landsman, H., Lang, R. F., Levinson, L., Li, I., Li, S., Liang, S., Lindemann, S., Lindner, M., Liu, K., Loizeau, J., Lombardi, F., Long, J., Lopes, J. A. M., Ma, Y., Macolino, C., Mahlstedt, J., Mancuso, A., Manenti, L., Marignetti, F., Undagoitia, T. Marrodán, Martella, P., Martens, K., Masbou, J., Masson, D., Masson, E., Mastroianni, S., Mele, E., Messina, M., Michinelli, R., Miuchi, K., Molinario, A., Moriyama, S., Morå, K., Mosbacher, Y., Murra, M., Müller, J., Ni, K., Nisi, S., Oberlack, U., Orlandi, D., Othegraven, R., Paetsch, B., Palacio, J., Parlati, S., Paschos, P., Pellegrini, Q., Peres, R., Peters, C., Pienaar, J., Pierre, M., Plante, G., Pollmann, T. R., Qi, J., Qin, J., García, D. Ramírez, Rynge, M., Shi, J., Singh, R., Sanchez, L., Santos, J. M. F. dos, Sarnoff, I., Sartorelli, G., Schreiner, J., Schulte, D., Schulte, P., Eißing, H. Schulze, Schumann, M., Lavina, L. Scotto, Selvi, M., Semeria, F., Shagin, P., Shi, S., Shockley, E., Silva, M., Simgen, H., Stephen, J., Stern, M., Stillwell, B. K., Takeda, A., Tan, P. -L., Tatananni, D., Terliuk, A., Thers, D., Toschi, F., Trinchero, G., Tunnell, C., Tönnies, F., Valerius, K., Volta, G., Weinheimer, C., Weiss, M., Wenz, D., Westermann, J., Wittweg, C., Wolf, T., Wu, V. H. S., Xing, Y., Xu, D., Xu, Z., Yamashita, M., Yang, L., Ye, J., Yuan, L., Zavattini, G., Zhong, M., and Zhu, T.

Subjects
Physics - Instrumentation and Detectors, Astrophysics - Instrumentation and Methods for Astrophysics, High Energy Physics - Experiment
Abstract

The multi-staged XENON program at INFN Laboratori Nazionali del Gran Sasso aims to detect dark matter with two-phase liquid xenon time projection chambers of increasing size and sensitivity. The XENONnT experiment is the latest detector in the program, planned to be an upgrade of its predecessor XENON1T. It features an active target of 5.9 tonnes of cryogenic liquid xenon (8.5 tonnes total mass in cryostat). The experiment is expected to extend the sensitivity to WIMP dark matter by more than an order of magnitude compared to XENON1T, thanks to the larger active mass and the significantly reduced background, improved by novel systems such as a radon removal plant and a neutron veto. This article describes the XENONnT experiment and its sub-systems in detail and reports on the detector performance during the first science run., Comment: 32 pages, 19 figures

Published
2024

34. Design and performance of the field cage for the XENONnT experiment

Author

Aprile, E., Abe, K., Maouloud, S. Ahmed, Althueser, L., Andrieu, B., Angelino, E., Angevaare, J. R., Antochi, V. C., Martin, D. Antón, Arneodo, F., Baudis, L., Baxter, A. L., Bazyk, M., Bellagamba, L., Biondi, R., Bismark, A., Brookes, E. J., Brown, A., Bruenner, S., Bruno, G., Budnik, R., Bui, T. K., Cai, C., Cardoso, J. M. R., Cichon, D., Chávez, A. P. Cimental, Colijn, A. P., Conrad, J., Cuenca-García, J. J., Cussonneau, J. P., DÁndrea, V., Decowski, M. P., Di Gangi, P., Diglio, S., Eitel, K., Elykov, A., Farrell, S., Ferella, A. D., Ferrari, C., Fischer, H., Flierman, M., Fulgione, W., Fuselli, C., Gaemers, P., Gaior, R., Rosso, A. Gallo, Galloway, M., Gao, F., Glade-Beucke, R., Grandi, L., Grigat, J., Guan, H., Guida, M., Hammann, R., Higuera, A., Hils, C., Hoetzsch, L., Hood, N. F., Howlett, J., Iacovacci, M., Itow, Y., Jakob, J., Joerg, F., Joy, A., Kara, M., Kavrigin, P., Kazama, S., Kobayashi, M., Koltman, G., Kopec, A., Kuger, F., Landsman, H., Lang, R. F., Levinson, L., Li, I., Li, S., Liang, S., Lindemann, S., Lindner, M., Liu, K., Loizeau, J., Lombardi, F., Long, J., Lopes, J. A. M., Ma, Y., Macolino, C., Mahlstedt, J., Mancuso, A., Manenti, L., Marignetti, F., Undagoitia, T. Marrodán, Martens, K., Masbou, J., Masson, D., Masson, E., Mastroianni, S., Messina, M., Miuchi, K., Molinario, A., Moriyama, S., Morå, K., Mosbacher, Y., Murra, M., Müller, J., Ni, K., Oberlack, U., Paetsch, B., Palacio, J., Pellegrini, Q., Peres, R., Peters, C., Pienaar, J., Pierre, M., Plante, G., Pollmann, T. R., Qi, J., Qin, J., García, D. Ramírez, Šarčević, N., Shi, J., Singh, R., Sanchez, L., Santos, J. M. F. dos, Sarnoff, I., Sartorelli, G., Schreiner, J., Schulte, D., Schulte, P., Eißing, H. Schulze, Schumann, M., Lavina, L. Scotto, Selvi, M., Semeria, F., Shagin, P., Shi, S., Shockley, E., Silva, M., Simgen, H., Takeda, A., Tan, P. -L., Terliuk, A., Thers, D., Toschi, F., Trinchero, G., Tunnell, C., Tönnies, F., Valerius, K., Volta, G., Weinheimer, C., Weiss, M., Wenz, D., Wittweg, C., Wolf, T., Wu, V. H. S., Xing, Y., Xu, D., Xu, Z., Yamashita, M., Yang, L., Ye, J., Yuan, L., Zavattini, G., Zhong, M., and Zhu, T.

Subjects
High Energy Physics - Experiment, Physics - Instrumentation and Detectors
Abstract

The precision in reconstructing events detected in a dual-phase time projection chamber depends on an homogeneous and well understood electric field within the liquid target. In the XENONnT TPC the field homogeneity is achieved through a double-array field cage, consisting of two nested arrays of field shaping rings connected by an easily accessible resistor chain. Rather than being connected to the gate electrode, the topmost field shaping ring is independently biased, adding a degree of freedom to tune the electric field during operation. Two-dimensional finite element simulations were used to optimize the field cage, as well as its operation. Simulation results were compared to ${}^{83m}\mathrm{Kr}$ calibration data. This comparison indicates an accumulation of charge on the panels of the TPC which is constant over time, as no evolution of the reconstructed position distribution of events is observed. The simulated electric field was then used to correct the charge signal for the field dependence of the charge yield. This correction resolves the inconsistent measurement of the drift electron lifetime when using different calibrations sources and different field cage tuning voltages.

Published
2023
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35. Cosmogenic background simulations for the DARWIN observatory at different underground locations

Author

Adrover, M., Althueser, L., Andrieu, B., Angelino, E., Angevaare, J. R., Antunovic, B., Aprile, E., Babicz, M., Bajpai, D., Barberio, E., Baudis, L., Bazyk, M., Bell, N., Bellagamba, L., Biondi, R., Biondi, Y., Bismark, A., Boehm, C., Breskin, A., Brookes, E. J., Brown, A., Bruno, G., Budnik, R., Capelli, C., Cardoso, J. M. R., Chauvin, A., Chavez, A. P. Cimental, Colijn, A. P., Conrad, J., Cuenca-García, J. J., D'Andrea, V., Decowski, M. P., Deisting, A., Di Gangi, P., Diglio, S., Doerenkamp, M., Drexlin, G., Eitel, K., Elykov, A., Engel, R., Farrell, S., Ferella, A. D., Ferrari, C., Fischer, H., Flierman, M., Fulgione, W., Gaemers, P., Gaior, R., Galloway, M., Garroum, N., Ghosh, S., Girard, F., Glade-Beucke, R., Glück, F., Grandi, L., Grigat, J., Größle, R., Guan, H., Guida, M., Hammann, R., Hannen, V., Hansmann-Menzemer, S., Hargittai, N., Hasegawa, T., Hils, C., Higuera, A., Hiraoka, K., Hoetzsch, L., Iacovacci, M., Itow, Y., Jakob, J., Jörg, F., Kara, M., Kavrigin, P., Kazama, S., Keller, M., Kilminster, B., Kleifges, M., Kobayashi, M., Kopec, A., von Krosigk, B., Kuger, F., Landsman, H., Lang, R. F., Li, I., Li, S., Liang, S., Lindemann, S., Lindner, M., Lombardi, F., Loizeau, J., Luce, T., Ma, Y., Macolino, C., Mahlstedt, J., Mancuso, A., Undagoitia, T. Marrodán, Lopes, J. A. M., Marignetti, F., Martens, K., Masbou, J., Mastroianni, S., Milutinovic, S., Miuchi, K., Miyata, R., Molinario, A., Monteiro, C. M. B., Morå, K., Morteau, E., Mosbacher, Y., Müller, J., Murra, M., Newstead, J. L., Ni, K., Oberlack, U. G., Ostrovskiy, I., Paetsch, B., Pandurovic, M., Pellegrini, Q., Peres, R., Pienaar, J., Pierre, M., Piotter, M., Plante, G., Pollmann, T. R., Principe, L., Qi, J., Qin, J., Silva, M. Rajado, García, D. Ramírez, Razeto, A., Sakamoto, S., Sanchez, L., Sanchez-Lucas, P., Santos, J. M. F. dos, Sartorelli, G., Scaffidi, A., Schulte, P., Schultz-Coulon, H. -C., Eißing, H. Schulze, Schumann, M., Lavina, L. Scotto, Selvi, M., Semeria, F., Shagin, P., Sharma, S., Shen, W., Silva, M., Simgen, H., Singh, R., Solmaz, M., Stanley, O., Steidl, M., Tan, P. L., Terliuk, A., Thers, D., Thümmler, T., Tönnies, F., Toschi, F., Trinchero, G., Trotta, R., Tunnell, C., Urquijo, P., Valerius, K., Vecchi, S., Vetter, S., Volta, G., Vorkapic, D., Wang, W., Weerman, K. M., Weinheimer, C., Weiss, M., Wenz, D., Wittweg, C., Wolf, J., Wolf, T., Wu, V. H. S., Wurm, M., Xing, Y., Yamashita, M., Ye, J., Zavattini, G., and Zuber, K.

Subjects
Physics - Instrumentation and Detectors
Abstract

Xenon dual-phase time projections chambers (TPCs) have proven to be a successful technology in studying physical phenomena that require low-background conditions. With 40t of liquid xenon (LXe) in the TPC baseline design, DARWIN will have a high sensitivity for the detection of particle dark matter, neutrinoless double beta decay ($0\nu\beta\beta$), and axion-like particles (ALPs). Although cosmic muons are a source of background that cannot be entirely eliminated, they may be greatly diminished by placing the detector deep underground. In this study, we used Monte Carlo simulations to model the cosmogenic background expected for the DARWIN observatory at four underground laboratories: Laboratori Nazionali del Gran Sasso (LNGS), Sanford Underground Research Facility (SURF), Laboratoire Souterrain de Modane (LSM) and SNOLAB. We determine the production rates of unstable xenon isotopes and tritium due to muon-included neutron fluxes and muon-induced spallation. These are expected to represent the dominant contributions to cosmogenic backgrounds and thus the most relevant for site selection.

Published
2023
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36. Search for events in XENON1T associated with Gravitational Waves

Author

XENON Collaboration, Aprile, E., Abe, K., Maouloud, S. Ahmed, Althueser, L., Andrieu, B., Angelino, E., Angevaare, J. R., Antochi, V. C., Martin, D. Antoń, Arneodo, F., Baudis, L., Baxter, A. L., Bazyk, M., Bellagamba, L., Biondi, R., Bismark, A., Brookes, E. J., Brown, A., Bruenner, S., Bruno, G., Budnik, R., Bui, T. K., Cai, C., Cardoso, J. M. R., Chavez, A. P. Cimental, Colijn, A. P., Conrad, J., Cuenca-García, J. J., D'Andrea, V., Decowski, M. P., Di Gangi, P., Diglio, S., Eitel, K., Elykov, A., Farrell, S., Ferella, A. D., Ferrari, C., Fischer, H., Flierman, M., Fulgione, W., Fuselli, C., Gaemers, P., Gaior, R., Rosso, A. Gallo, Galloway, M., Gao, F., Glade-Beucke, R., Grandi, L., Grigat, J., Guan, H., Guida, M., Hammann, R., Higuera, A., Hils, C., Hoetzsch, L., Hood, N. F., Howlett, J., Iacovacci, M., Itow, Y., Jakob, J., Joerg, F., Joy, A., Kara, M., Kavrigin, P., Kazama, S., Kobayashi, M., Koltman, G., Kopec, A., Kuger, F., Landsman, H., Lang, R. F., Carlos, D. G. Layos, Levinson, L., Li, I., Li, S., Liang, S., Lindemann, S., Lindner, M, Liu, K., Loizeau, J., Lombardi, F., Long, J., Lopes, J. A. M., Ma, Y., Macolino, C., Mahlstedt, J., Mancuso, A., Manenti, L., Marignetti, F., Undagoitia, T. Marrodán, Martens, K., Masbou, J., Masson, D., Masson, E., Mastroianni, S., Messina, M., Miuchi, K., Molinario, A., Moriyama, S., Morå, K., Mosbacher, Y., Murra, M., Müller, J., Ni, K., Oberlack, U., Paetsch, B., Palacio, J., Pellegrini, Q., Peres, R., Peters, C, Pienaar, J., Pierre, M., Plante, G., Pollmann, T. R., Qi, J., Qin, J., García, D. Ramírez, Shi, J., Singh, R., Sanchez, L., Santos, J. M. F. dos, Sarnoff, I., Sartorelli, G., Schreiner, J., Schulte, D., Schulte, P., Eißing, H. Schulze, Schumann, M., Lavina, L. Scotto, Selvi, M., Semeria, F., Shagin, P., Shi, S., Shockley, E., Silva, M., Simgen, H., Takeda, A., Tan, P. -L., Terliuk, A., Thers, D., Toschi, F., Trinchero, G., Tunnell, C., Tönnies, F., Valerius, K., Volta, G., Weinheimer, C., Weiss, M., Wenz, D., Wittweg, C., Wolf, T., Wu, V. H. S., Xing, Y., Xu, D., Xu, Z., Yamashita, M., Yang, L., Ye, J., Yuan, L., Zavattini, G., Zhong, M., and Zhu, T.

Subjects
High Energy Physics - Experiment, Physics - Instrumentation and Detectors
Abstract

We perform a blind search for particle signals in the XENON1T dark matter detector that occur close in time to gravitational wave signals in the LIGO and Virgo observatories. No particle signal is observed in the nuclear recoil, electronic recoil, CE$\nu$NS, and S2-only channels within $\pm$ 500 seconds of observations of the gravitational wave signals GW170104, GW170729, GW170817, GW170818, and GW170823. We use this null result to constrain mono-energetic neutrinos and Beyond Standard Model particles emitted in the closest coalescence GW170817, a binary neutron star merger. We set new upper limits on the fluence (time-integrated flux) of coincident neutrinos down to 17 keV at 90% confidence level. Furthermore, we constrain the product of coincident fluence and cross section of Beyond Standard Model particles to be less than $10^{-29}$ cm$^2$/cm$^2$ in the [5.5-210] keV energy range at 90% confidence level.

Published
2023

37. Searching for Heavy Dark Matter near the Planck Mass with XENON1T

Author

Aprile, E., Abe, K., Maouloud, S. Ahmed, Althueser, L., Andrieu, B., Angelino, E., Angevaare, J. R., Antochi, V. C., Martin, D. Antón, Arneodo, F., Baudis, L., Baxter, A. L., Bazyk, M., Bellagamba, L., Biondi, R., Bismark, A., Brookes, E. J., Brown, A., Bruenner, S., Bruno, G., Budnik, R., Bui, T. K., Cai, C., Cardoso, J. M. R., Cichon, D., Chavez, A. P. Cimental, Clark, M., Colijn, A. P., Conrad, J., Cuenca-García, J. J., Cussonneau, J. P., D'Andrea, V., Decowski, M. P., Di Gangi, P., Di Pede, S., Diglio, S., Eitel, K., Elykov, A., Farrell, S., Ferella, A. D., Ferrari, C., Fischer, H., Flierman, M., Fulgione, W., Fuselli, C., Gaemers, P., Gaior, R., Rosso, A. Gallo, Galloway, M., Gao, F., Glade-Beucke, R., Grandi, L., Grigat, J., Guan, H., Guida, M., Hammann, R., Higuera, A., Hils, C., Hoetzsch, L., Hood, N. F., Howlett, J., Iacovacci, M., Itow, Y., Jakob, J., Joerg, F., Joy, A., Kato, N., Kara, M., Kavrigin, P., Kazama, S., Kobayashi, M., Koltman, G., Kopec, A., Kuger, F., Landsman, H., Lang, R. F., Levinson, L., Li, I., Li, S., Liang, S., Lindemann, S., Lindner, M., Liu, K., Loizeau, J., Lombardi, F., Long, J., Lopes, J. A. M., Ma, Y., Macolino, C., Mahlstedt, J., Mancuso, A., Manenti, L., Marignetti, F., Undagoitia, T. Marrodán, Martens, K., Masbou, J., Masson, D., Masson, E., Mastroianni, S., Messina, M., Miuchi, K., Mizukoshi, K., Molinario, A., Moriyama, S., Morå, K., Mosbacher, Y., Murra, M., Müller, J., Ni, K., Oberlack, U., Paetsch, B., Palacio, J., Pellegrini, Q., Peres, R., Peters, C., Pienaar, J., Pierre, M., Pizzella, V., Plante, G., Pollmann, T. R., Qi, J., Qin, J., García, D. Ramírez, Singh, R., Sanchez, L., Santos, J. M. F. dos, Sarnoff, I., Sartorelli, G., Schreiner, J., Schulte, D., Schulte, P., Eißing, H. Schulze, Schumann, M., Lavina, L. Scotto, Selvi, M., Semeria, F., Shagin, P., Shi, S., Shockley, E., Silva, M., Simgen, H., Takeda, A., Tan, P. -L., Terliuk, A., Thers, D., Toschi, F., Trinchero, G., Tunnell, C., Tönnies, F., Valerius, K., Volta, G., Weinheimer, C., Weiss, M., Wenz, D., Wittweg, C., Wolf, T., Wu, V. H. S., Xing, Y., Xu, D., Xu, Z., Yamashita, M., Yang, L., Ye, J., Yuan, L., Zavattini, G., Zhong, M., and Zhu, T.

Subjects
High Energy Physics - Experiment, Physics - Instrumentation and Detectors
Abstract

Multiple viable theoretical models predict heavy dark matter particles with a mass close to the Planck mass, a range relatively unexplored by current experimental measurements. We use 219.4 days of data collected with the XENON1T experiment to conduct a blind search for signals from Multiply-Interacting Massive Particles (MIMPs). Their unique track signature allows a targeted analysis with only 0.05 expected background events from muons. Following unblinding, we observe no signal candidate events. This work places strong constraints on spin-independent interactions of dark matter particles with a mass between 1$\times$10$^{12}\,$GeV/c$^2$ and 2$\times$10$^{17}\,$GeV/c$^2$. In addition, we present the first exclusion limits on spin-dependent MIMP-neutron and MIMP-proton cross-sections for dark matter particles with masses close to the Planck scale., Comment: 7 pages, 6 figures

Published
2023
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38. Detector signal characterization with a Bayesian network in XENONnT

Author

XENON Collaboration, Aprile, E., Abe, K., Maouloud, S. Ahmed, Althueser, L., Andrieu, B., Angelino, E., Angevaare, J. R., Antochi, V. C., Martin, D. Antón, Arneodo, F., Baudis, L., Baxter, A. L., Bazyk, M., Bellagamba, L., Biondi, R., Bismark, A., Brookes, E. J., Brown, A., Bruenner, S., Bruno, G., Budnik, R., Bui, T. K., Cai, C., Cardoso, J. M. R., Cichon, D., Chavez, A. P. Cimental, Colijn, A. P., Conrad, J., Cuenca-García, J. J., Cussonneau, J. P., D'Andrea, V., Decowski, M. P., Di Gangi, P., Di Pede, S., Diglio, S., Eitel, K., Elykov, A., Farrell, S., Ferella, A. D., Ferrari, C., Fischer, H., Flierman, M., Fulgione, W., Fuselli, C., Gaemers, P., Gaior, R., Rosso, A. Gallo, Galloway, M., Gao, F., Glade-Beucke, R., Grandi, L., Grigat, J., Guan, H., Guida, M., Hammann, R., Higuera, A., Hils, C., Hoetzsch, L., Hood, N. F., Howlett, J., Iacovacci, M., Itow, Y., Jakob, J., Joerg, F., Joy, A., Kato, N., Kara, M., Kavrigin, P., Kazama, S., Kobayashi, M., Koltman, G., Kopec, A., Kuger, F., Landsman, H., Lang, R. F., Levinson, L., Li, I., Li, S., Liang, S., Lindemann, S., Lindner, M., Liu, K., Loizeau, J., Lombardi, F., Long, J., Lopes, J. A. M., Ma, Y., Macolino, C., Mahlstedt, J., Mancuso, A., Manenti, L., Marignetti, F., Undagoitia, T. Marrodán, Martens, K., Masbou, J., Masson, D., Masson, E., Mastroianni, S., Messina, M., Miuchi, K., Mizukoshi, K., Molinario, A., Moriyama, S., Morå, K., Mosbacher, Y., Murra, M., Müller, J., Ni, K., Oberlack, U., Paetsch, B., Palacio, J., Pellegrini, Q., Peres, R., Peters, C., Pienaar, J., Pierre, M., Pizzella, V., Plante, G., Pollmann, T. R., Qi, J., Qin, J., García, D. Ramírez, Singh, R., Sanchez, L., Santos, J. M. F. dos, Sarnoff, I., Sartorelli, G., Schreiner, J., Schulte, D., Schulte, P., Eißing, H. Schulze, Schumann, M., Lavina, L. Scotto, Selvi, M., Semeria, F., Shagin, P., Shi, S., Shockley, E., Silva, M., Simgen, H., Takeda, A., Tan, P. -L., Terliuk, A., Thers, D., Toschi, F., Trinchero, G., Tunnell, C., Tönnies, F., Valerius, K., Volta, G., Weinheimer, C., Weiss, M., Wenz, D., Wittweg, C., Wolf, T., Wu, V. H. S., Xing, Y., Xu, D., Xu, Z., Yamashita, M., Yang, L., Ye, J., Yuan, L., Zavattini, G., Zhong, M., and Zhu, T.

Subjects
High Energy Physics - Experiment
Abstract

We developed a detector signal characterization model based on a Bayesian network trained on the waveform attributes generated by a dual-phase xenon time projection chamber. By performing inference on the model, we produced a quantitative metric of signal characterization and demonstrate that this metric can be used to determine whether a detector signal is sourced from a scintillation or an ionization process. We describe the method and its performance on electronic-recoil (ER) data taken during the first science run of the XENONnT dark matter experiment. We demonstrate the first use of a Bayesian network in a waveform-based analysis of detector signals. This method resulted in a 3% increase in ER event-selection efficiency with a simultaneously effective rejection of events outside of the region of interest. The findings of this analysis are consistent with the previous analysis from XENONnT, namely a background-only fit of the ER data., Comment: 11 pages, 8 figures

Published
2023
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39. First Dark Matter Search with Nuclear Recoils from the XENONnT Experiment

Author

XENON Collaboration, Aprile, E., Abe, K., Agostini, F., Maouloud, S. Ahmed, Althueser, L., Andrieu, B., Angelino, E., Angevaare, J. R., Antochi, V. C., Martin, D. Antón, Arneodo, F., Baudis, L., Baxter, A. L., Bazyk, M., Bellagamba, L., Biondi, R., Bismark, A., Brookes, E. J., Brown, A., Bruenner, S., Bruno, G., Budnik, R., Bui, T. K., Cai, C., Cardoso, J. M. R., Cichon, D., Chavez, A. P. Cimental, Colijn, A. P., Conrad, J., Cuenca-García, J. J., Cussonneau, J. P., D'Andrea, V., Decowski, M. P., Di Gangi, P., Di Pede, S., Diglio, S., Eitel, K., Elykov, A., Farrell, S., Ferella, A. D., Ferrari, C., Fischer, H., Flierman, M., Fulgione, W., Fuselli, C., Gaemers, P., Gaior, R., Rosso, A. Gallo, Galloway, M., Gao, F., Glade-Beucke, R., Grandi, L., Grigat, J., Guan, H., Guida, M., Hammann, R., Higuera, A., Hils, C., Hoetzsch, L., Hood, N. F., Howlett, J., Iacovacci, M., Itow, Y., Jakob, J., Joerg, F., Joy, A., Kato, N., Kara, M., Kavrigin, P., Kazama, S., Kobayashi, M., Koltman, G., Kopec, A., Kuger, F., Landsman, H., Lang, R. F., Levinson, L., Li, I., Li, S., Liang, S., Lindemann, S., Lindner, M., Liu, K., Loizeau, J., Lombardi, F., Long, J., Lopes, J. A. M., Ma, Y., Macolino, C., Mahlstedt, J., Mancuso, A., Manenti, L., Marignetti, F., Undagoitia, T. Marrodán, Martens, K., Masbou, J., Masson, D., Masson, E., Mastroianni, S., Messina, M., Miuchi, K., Mizukoshi, K., Molinario, A., Moriyama, S., Morå, K., Mosbacher, Y., Murra, M., Müller, J., Ni, K., Oberlack, U., Paetsch, B., Palacio, J., Peres, R., Peters, C., Pienaar, J., Pierre, M., Pizzella, V., Plante, G., Qi, J., Qin, J., García, D. Ramírez, Singh, R., Sanchez, L., Santos, J. M. F. dos, Sarnoff, I., Sartorelli, G., Schreiner, J., Schulte, D., Schulte, P., Eißing, H. Schulze, Schumann, M., Lavina, L. Scotto, Selvi, M., Semeria, F., Shagin, P., Shi, S., Shockley, E., Silva, M., Simgen, H., Takeda, A., Tan, P. -L., Terliuk, A., Thers, D., Toschi, F., Trinchero, G., Tunnell, C., Tönnies, F., Valerius, K., Volta, G., Weinheimer, C., Weiss, M., Wenz, D., Wittweg, C., Wolf, T., Wu, V. H. S., Xing, Y., Xu, D., Xu, Z., Yamashita, M., Yang, L., Ye, J., Yuan, L., Zavattini, G., Zhong, M., and Zhu, T.

Subjects
High Energy Physics - Experiment, Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics, High Energy Physics - Phenomenology, Physics - Instrumentation and Detectors
Abstract

We report on the first search for nuclear recoils from dark matter in the form of weakly interacting massive particles (WIMPs) with the XENONnT experiment which is based on a two-phase time projection chamber with a sensitive liquid xenon mass of $5.9$ t. During the approximately 1.1 tonne-year exposure used for this search, the intrinsic $^{85}$Kr and $^{222}$Rn concentrations in the liquid target were reduced to unprecedentedly low levels, giving an electronic recoil background rate of $(15.8\pm1.3)~\mathrm{events}/(\mathrm{t\cdot y \cdot keV})$ in the region of interest. A blind analysis of nuclear recoil events with energies between $3.3$ keV and $60.5$ keV finds no significant excess. This leads to a minimum upper limit on the spin-independent WIMP-nucleon cross section of $2.58\times 10^{-47}~\mathrm{cm}^2$ for a WIMP mass of $28~\mathrm{GeV}/c^2$ at $90\%$ confidence level. Limits for spin-dependent interactions are also provided. Both the limit and the sensitivity for the full range of WIMP masses analyzed here improve on previous results obtained with the XENON1T experiment for the same exposure., Comment: Limit points are included in the submission file

Published
2023
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40. The Triggerless Data Acquisition System of the XENONnT Experiment

Author

Aprile, E., Aalbers, J., Abe, K., Agostini, F., Maouloud, S. Ahmed, Althueser, L., Andrieu, B., Angelino, E., Angevaare, J. R., Antochi, V. C., Martin, D. Antón, Arneodo, F., Baudis, L., Baxter, A. L., Bellagamba, L., Biondi, R., Bismark, A., Brookes, E. J., Brown, A., Bruenner, S., Bruno, G., Budnik, R., Bui, T. K., Cai, C., Cardoso, J. M. R., Cichon, D., Chavez, A. P. Cimental, Coderre, D., Colijn, A. P., Conrad, J., Cuenca-García, J. J., Cussonneau, J. P., D'Andrea, V., Decowski, M. P., Di Gangi, P., Di Pede, S., Diglio, S., Eitel, K., Elykov, A., Farrell, S., Ferella, A. D., Ferrari, C., Fischer, H., Flierman, M., Fulgione, W., Fuselli, C., Gaemers, P., Gaior, R., Rosso, A. Gallo, Galloway, M., Gao, F., Glade-Beucke, R., Grandi, L., Grigat, J., Guida, M., Hammann, R., Higuera, A., Hils, C., Hoetzsch, L., Hood, N. F., Howlett, J., Iacovacci, M., Itow, Y., Jakob, J., Joerg, F., Joy, A., Kato, N., Kara, M., Kavrigin, P., Kazama, S., Kobayashi, M., Koltman, G., Kopec, A., Kuger, F., Landsman, H., Lang, R. F., Levinson, L., Li, I., Li, S., Liang, S., Lindemann, S., Lindner, M., Liu, K., Loizeau, J., Lombardi, F., Long, J., Lopes, J. A. M., Ma, Y., Macolino, C., Mahlstedt, J., Mancuso, A., Manenti, L., Marignetti, F., Undagoitia, T. Marrodán, Martens, K., Masbou, J., Masson, D., Masson, E., Mastroianni, S., Messina, M., Miuchi, K., Mizukoshi, K., Molinario, A., Moriyama, S., Morå, K., Mosbacher, Y., Murra, M., Müller, J., Ni, K., Oberlack, U., Paetsch, B., Palacio, J., Peres, R., Peters, C., Pienaar, J., Pierre, M., Pizzella, V., Plante, G., Qi, J., Qin, J., García, D. Ramírez, Rocchetti, A., Sanchez, L., Sanchez-Lucas, P., Santos, J. M. F. dos, Sarnoff, I., Sartorelli, G., Schreiner, J., Schulte, D., Schulte, P., Eißing, H. Schulze, Schumann, M., Lavina, L. Scotto, Selvi, M., Semeria, F., Shagin, P., Shi, S., Shockley, E., Silva, M., Simgen, H., Takeda, A., Tan, P. -L., Terliuk, A., Thers, D., Toschi, F., Trinchero, G., Tunnell, C., Tönnies, F., Valerius, K., Volta, G., Weinheimer, C., Weiss, M., Wenz, D., Wittweg, C., Wolf, T., Xu, D., Xu, Z., Yamashita, M., Yang, L., Ye, J., Yuan, L., Zavattini, G., Zerbo, S., Zhong, M., and Zhu, T.

Subjects
Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract

The XENONnT detector uses the latest and largest liquid xenon-based time projection chamber (TPC) operated by the XENON Collaboration, aimed at detecting Weakly Interacting Massive Particles and conducting other rare event searches. The XENONnT data acquisition (DAQ) system constitutes an upgraded and expanded version of the XENON1T DAQ system. For its operation, it relies predominantly on commercially available hardware accompanied by open-source and custom-developed software. The three constituent subsystems of the XENONnT detector, the TPC (main detector), muon veto, and the newly introduced neutron veto, are integrated into a single DAQ, and can be operated both independently and as a unified system. In total, the DAQ digitizes the signals of 698 photomultiplier tubes (PMTs), of which 253 from the top PMT array of the TPC are digitized twice, at $\times10$ and $\times0.5$ gain. The DAQ for the most part is a triggerless system, reading out and storing every signal that exceeds the digitization thresholds. Custom-developed software is used to process the acquired data, making it available within $\mathcal{O}\left(10\text{ s}\right)$ for live data quality monitoring and online analyses. The entire system with all the three subsystems was successfully commissioned and has been operating continuously, comfortably withstanding readout rates that exceed $\sim500$ MB/s during calibration. Livetime during normal operation exceeds $99\%$ and is $\sim90\%$ during most high-rate calibrations. The combined DAQ system has collected more than 2 PB of both calibration and science data during the commissioning of XENONnT and the first science run.

Published
2022
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41. Low-energy Calibration of XENON1T with an Internal $^{37}$Ar Source

Author

Aprile, E., Abe, K., Agostini, F., Maouloud, S. Ahmed, Alfonsi, M., Althueser, L., Andrieu, B., Angelino, E., Angevaare, J. R., Antochi, V. C., Martin, D. Antón, Arneodo, F., Baudis, L., Baxter, A. L., Bellagamba, L., Biondi, R., Bismark, A., Brown, A., Bruenner, S., Bruno, G., Budnik, R., Bui, T. K., Cai, C., Capelli, C., Cardoso, J. M. R., Cichon, D., Colijn, A. P., Conrad, J., Cuenca-García, J. J., Cussonneau, J. P., D'Andrea, V., Decowski, M. P., Di Gangi, P., Di Pede, S., Diglio, S., Eitel, K., Elykov, A., Farrell, S., Ferella, A. D., Ferrari, C., Fischer, H., Fulgione, W., Gaemers, P., Gaior, R., Rosso, A. Gallo, Galloway, M., Gao, F., Glade-Beucke, R., Grandi, L., Grigat, J., Guida, M., Hammann, R., Higuera, A., Hils, C., Hoetzsch, L., Howlett, J., Iacovacci, M., Itow, Y., Jakob, J., Joerg, F., Joy, A., Kato, N., Kara, M., Kavrigin, P., Kazama, S., Kobayashi, M., Koltman, G., Kopec, A., Kuger, F., Landsman, H., Lang, R. F., Levinson, L., Li, I., Li, S., Liang, S., Lindemann, S., Lindner, M., Liu, K., Loizeau, J., Lombardi, F., Long, J., Lopes, J. A. M., Ma, Y., Macolino, C., Mahlstedt, J., Mancuso, A., Manenti, L., Marignetti, F., Undagoitia, T. Marrodán, Martens, K., Masbou, J., Masson, D., Masson, E., Mastroianni, S., Messina, M., Miuchi, K., Mizukoshi, K., Molinario, A., Moriyama, S., Morå, K., Mosbacher, Y., Murra, M., Müller, J., Ni, K., Oberlack, U., Paetsch, B., Palacio, J., Peres, R., Peters, C., Pienaar, J., Pierre, M., Pizzella, V., Plante, G., Qi, J., Qin, J., García, D. Ramírez, Reichard, S., Rocchetti, A., Rupp, N., Sanchez, L., Sanchez-Lucas, P., Santos, J. M. F. dos, Sarnoff, I., Sartorelli, G., Schreiner, J., Schulte, D., Schulte, P., Eißing, H. Schulze, Schumann, M., Lavina, L. Scotto, Selvi, M., Semeria, F., Shagin, P., Shi, S., Shockley, E., Silva, M., Simgen, H., Takeda, A., Tan, P. -L., Terliuk, A., Thers, D., Toschi, F., Trinchero, G., Tunnell, C., Tönnies, F., Valerius, K., Volta, G., Weinheimer, C., Weiss, M., Wenz, D., Wittweg, C., Wolf, T., Xu, D., Xu, Z., Yamashita, M., Yang, L., Ye, J., Yuan, L., Zavattini, G., Zerbo, S., Zhong, M., Zhu, T., Geppert, C., and Riemer, J.

Subjects
Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract

A low-energy electronic recoil calibration of XENON1T, a dual-phase xenon time projection chamber, with an internal $^{37}$Ar source was performed. This calibration source features a 35-day half-life and provides two mono-energetic lines at 2.82 keV and 0.27 keV. The photon yield and electron yield at 2.82 keV are measured to be (32.3$\pm$0.3) photons/keV and (40.6$\pm$0.5) electrons/keV, respectively, in agreement with other measurements and with NEST predictions. The electron yield at 0.27 keV is also measured and it is (68.0$^{+6.3}_{-3.7}$) electrons/keV. The $^{37}$Ar calibration confirms that the detector is well-understood in the energy region close to the detection threshold, with the 2.82 keV line reconstructed at (2.83$\pm$0.02) keV, which further validates the model used to interpret the low-energy electronic recoil excess previously reported by XENON1T. The ability to efficiently remove argon with cryogenic distillation after the calibration proves that $^{37}$Ar can be considered as a regular calibration source for multi-tonne xenon detectors.

Published
2022
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42. Effective field theory and inelastic dark matter results from XENON1T

Author

Aprile, E., Abe, K., Agostini, F., Maouloud, S. Ahmed, Althueser, L., Andrieu, B., Angelino, E., Angevaare, J. R., Antochi, V. C., Martin, D. Antón, Arneodo, F., Baudis, L., Baxter, A. L., Bellagamba, L., Biondi, R., Bismark, A., Brown, A., Bruenner, S., Bruno, G., Budnik, R., Cai, C., Capelli, C., Cardoso, J. M. R., Cichon, D., Clark, M., Colijn, A. P., Conrad, J., Cuenca-García, J. J., Cussonneau, J. P., D'Andrea, V., Decowski, M. P., Di Gangi, P., Di Pede, S., Di Giovanni, A., Di Stefano, R., Diglio, S., Eitel, K., Elykov, A., Farrell, S., Ferella, A. D., Fischer, H., Fulgione, W., Gaemers, P., Gaior, R., Rosso, A. Gallo, Galloway, M., Gao, F., Glade-Beucke, R., Grandi, L., Grigat, J., Guida, M., Hammann, R., Higuera, A., Hils, C., Hoetzsch, L., Howlett, J., Iacovacci, M., Itow, Y., Jakob, J., Joerg, F., Joy, A., Kato, N., Kara, M., Kavrigin, P., Kazama, S., Kobayashi, M., Koltman, G., Kopec, A., Landsman, H., Lang, R. F., Levinson, L., Li, I., Li, S., Liang, S., Lindemann, S., Lindner, M., Liu, K., Loizeau, J., Lombardi, F., Long, J., Lopes, J. A. M., Ma, Y., Macolino, C., Mahlstedt, J., Mancuso, A., Manenti, L., Manfredini, A., Marignetti, F., Undagoitia, T. Marrodán, Martens, K., Masbou, J., Masson, D., Masson, E., Mastroianni, S., Messina, M., Miuchi, K., Mizukoshi, K., Molinario, A., Moriyama, S., Morå, K., Mosbacher, Y., Murra, M., Müller, J., Ni, K., Oberlack, U., Paetsch, B., Palacio, J., Peres, R., Pienaar, J., Pierre, M., Pizzella, V., Plante, G., Qi, J., Qin, J., García, D. Ramírez, Reichard, S., Rocchetti, A., Rupp, N., Sanchez, L., Santos, J. M. F. dos, Sarnoff, I., Sartorelli, G., Schreiner, J., Schulte, D., Schulte, P., Eißing, H. Schulze, Schumann, M., Lavina, L. Scotto, Selvi, M., Semeria, F., Shagin, P., Shi, S., Shockley, E., Silva, M., Simgen, H., Takeda, A., Tan, P. L., Terliuk, A., Thers, D., Toschi, F., Trinchero, G., Tunnell, C., Tönnies, F., Valerius, K., Volta, G., Wei, Y., Weinheimer, C., Weiss, M., Wenz, D., Wittweg, C., Wolf, T., Xu, D., Xu, Z., Yamashita, M., Yang, L., Ye, J., Yuan, L., Zavattini, G., Zhong, M., and Zhu, T.

Subjects
High Energy Physics - Experiment, High Energy Physics - Phenomenology
Abstract

In this work, we expand on the XENON1T nuclear recoil searches to study the individual signals of dark matter interactions from operators up to dimension-eight in a Chiral Effective Field Theory (ChEFT) and a model of inelastic dark matter (iDM). We analyze data from two science runs of the XENON1T detector totaling 1\,tonne$\times$year exposure. For these analyses, we extended the region of interest from [4.9, 40.9]$\,$keV$_{\text{NR}}$ to [4.9, 54.4]$\,$keV$_{\text{NR}}$ to enhance our sensitivity for signals that peak at nonzero energies. We show that the data is consistent with the background-only hypothesis, with a small background over-fluctuation observed peaking between 20 and 50$\,$keV$_{\text{NR}}$, resulting in a maximum local discovery significance of 1.7\,$\sigma$ for the Vector$\otimes$Vector$_{\text{strange}}$ ($VV_s$) ChEFT channel for a dark matter particle of 70$\,$GeV/c$^2$, and $1.8\,\sigma$ for an iDM particle of 50$\,$GeV/c$^2$ with a mass splitting of 100$\,$keV/c$^2$. For each model, we report 90\,\% confidence level (CL) upper limits. We also report upper limits on three benchmark models of dark matter interaction using ChEFT where we investigate the effect of isospin-breaking interactions. We observe rate-driven cancellations in regions of the isospin-breaking couplings, leading to up to 6 orders of magnitude weaker upper limits with respect to the isospin-conserving case.

Published
2022
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43. An approximate likelihood for nuclear recoil searches with XENON1T data

Author

Aprile, E., Abe, K., Agostini, F., Maouloud, S. Ahmed, Alfonsi, M., Althueser, L., Andrieu, B., Angelino, E., Angevaare, J. R., Antochi, V. C., Martin, D. Antón, Arneodo, F., Baudis, L., Baxter, A. L., Bellagamba, L., Biondi, R., Bismark, A., Brown, A., Bruenner, S., Bruno, G., Budnik, R., Capelli, C., Cardoso, J. M. R., Cichon, D., Cimmino, B., Clark, M., Colijn, A. P., Conrad, J., Cuenca-García, J. J., Cussonneau, J. P., D'Andrea, V., Decowski, M. P., Di Gangi, P., Di Pede, S., Di Giovanni, A., Di Stefano, R., Diglio, S., Elykov, A., Farrell, S., Ferella, A. D., Fischer, H., Fulgione, W., Gaemers, P., Gaior, R., Galloway, M., Gao, F., Glade-Beucke, R., Grandi, L., Grigat, J., Higuera, A., Hils, C., Hoetzsch, L., Howlett, J., Iacovacci, M., Itow, Y., Jakob, J., Joerg, F., Joy, A., Kato, N., Kavrigin, P., Kazama, S., Kobayashi, M., Koltman, G., Kopec, A., Landsman, H., Lang, R. F., Levinson, L., Li, I., Li, S., Liang, S., Lindemann, S., Lindner, M., Liu, K., Lombardi, F., Long, J., Lopes, J. A. M., Ma, Y., Macolino, C., Mahlstedt, J., Mancuso, A., Manenti, L., Manfredini, A., Marignetti, F., Undagoitia, T. Marrodán, Martens, K., Masbou, J., Masson, D., Masson, E., Mastroianni, S., Messina, M., Miuchi, K., Mizukoshi, K., Molinario, A., Moriyama, S., Morå, K., Mosbacher, Y., Murra, M., Müller, J., Ni, K., Oberlack, U., Paetsch, B., Palacio, J., Peres, R., Pienaar, J., Pierre, M., Pizzella, V., Plante, G., Qi, J., Qin, J., García, D. Ramírez, Reichard, S., Rocchetti, A., Rupp, N., Sanchez, L., Santos, J. M. F. dos, Sartorelli, G., Schreiner, J., Schulte, D., Schulte, P., Eißing, H. Schulze, Schumann, M., Lavina, L. Scotto, Selvi, M., Semeria, F., Shagin, P., Shi, S., Shockley, E., Silva, M., Simgen, H., Takeda, A., Tan, P. -L., Terliuk, A., Thers, D., Toschi, F., Trinchero, G., Tunnell, C., Tönnies, F., Valerius, K., Volta, G., Wei, Y., Weinheimer, C., Weiss, M., Wenz, D., Wittweg, C., Wolf, T., Xu, Z., Yamashita, M., Yang, L., Ye, J., Yuan, L., Zavattini, G., Zhang, Y., Zhong, M., and Zhu, T.

Subjects
High Energy Physics - Experiment, Physics - Instrumentation and Detectors
Abstract

The XENON collaboration has published stringent limits on specific dark matter -nucleon recoil spectra from dark matter recoiling on the liquid xenon detector target. In this paper, we present an approximate likelihood for the XENON1T 1 tonne-year nuclear recoil search applicable to any nuclear recoil spectrum. Alongside this paper, we publish data and code to compute upper limits using the method we present. The approximate likelihood is constructed in bins of reconstructed energy, profiled along the signal expectation in each bin. This approach can be used to compute an approximate likelihood and therefore most statistical results for any nuclear recoil spectrum. Computing approximate results with this method is approximately three orders of magnitude faster than the likelihood used in the original publications of XENON1T, where limits were set for specific families of recoil spectra. Using this same method, we include toy Monte Carlo simulation-derived binwise likelihoods for the upcoming XENONnT experiment that can similarly be used to assess the sensitivity to arbitrary nuclear recoil signatures in its eventual 20 tonne-year exposure., Comment: Accepted by European Physical Journal C

Published
2022
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44. The XENONnT dark matter experiment

Author

Aprile, E., Aalbers, J., Abe, K., Ahmed Maouloud, S., Althueser, L., Andrieu, B., Angelino, E., Angevaare, J. R., Antochi, V. C., Antón Martin, D., Arneodo, F., Balata, M., Baudis, L., Baxter, A. L., Bazyk, M., Bellagamba, L., Biondi, R., Bismark, A., Brookes, E. J., Brown, A., Bruenner, S., Bruno, G., Budnik, R., Bui, T. K., Cai, C., Cardoso, J. M. R., Cassese, F., Chiarini, A., Cichon, D., Cimental Chavez, A. P., Colijn, A. P., Conrad, J., Corrieri, R., Cuenca-García, J. J., Cussonneau, J. P., Dadoun, O., D’Andrea, V., Decowski, M. P., De Fazio, B., Gangi, P. Di, Diglio, S., Disdier, J. M., Douillet, D., Eitel, K., Elykov, A., Farrell, S., Ferella, A. D., Ferrari, C., Fischer, H., Flierman, M., Form, S., Front, D., Fulgione, W., Fuselli, C., Gaemers, P., Gaior, R., Rosso, A. Gallo, Galloway, M., Gao, F., Gardner, R., Garroum, N., Glade-Beucke, R., Grandi, L., Grigat, J., Guan, H., Guerzoni, M., Guida, M., Hammann, R., Higuera, A., Hils, C., Hoetzsch, L., Hood, N. F., Howlett, J., Huhmann, C., Iacovacci, M., Iaquaniello, G., Iven, L., Itow, Y., Jakob, J., Joerg, F., Joy, A., Kara, M., Kavrigin, P., Kazama, S., Kobayashi, M., Koltman, G., Kopec, A., Kuger, F., Landsman, H., Lang, R. F., Levinson, L., Li, I., Li, S., Liang, S., Lindemann, S., Lindner, M., Liu, K., Loizeau, J., Lombardi, F., Long, J., Lopes, J. A. M., Ma, Y., Macolino, C., Mahlstedt, J., Mancuso, A., Manenti, L., Marignetti, F., Marrodán Undagoitia, T., Martella, P., Martens, K., Masbou, J., Masson, D., Masson, E., Mastroianni, S., Mele, E., Messina, M., Michinelli, R., Miuchi, K., Molinario, A., Moriyama, S., Morå, K., Mosbacher, Y., Murra, M., Müller, J., Ni, K., Nisi, S., Oberlack, U., Orlandi, D., Othegraven, R., Paetsch, B., Palacio, J., Parlati, S., Paschos, P., Pellegrini, Q., Peres, R., Peters, C., Pienaar, J., Pierre, M., Plante, G., Pollmann, T. R., Qi, J., Qin, J., García, D. Ramírez, Rynge, M., Shi, J., Singh, R., Sanchez, L., Santos, J. M. F. dos, Sarnoff, I., Sartorelli, G., Schreiner, J., Schulte, D., Schulte, P., Schulze Eißing, H., Schumann, M., Scotto Lavina, L., Selvi, M., Semeria, F., Shagin, P., Shi, S., Shockley, E., Silva, M., Simgen, H., Stephen, J., Stern, M., Stillwell, B. K., Takeda, A., Tan, P.-L., Tatananni, D., Terliuk, A., Thers, D., Toschi, F., Trinchero, G., Tunnell, C., Tönnies, F., Valerius, K., Volta, G., Weinheimer, C., Weiss, M., Wenz, D., Westermann, J., Wittweg, C., Wolf, T., Wu, V. H. S., Xing, Y., Xu, D., Xu, Z., Yamashita, M., Yang, L., Ye, J., Yuan, L., Zavattini, G., Zhong, M., and Zhu, T.

Published
2024
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45. Search for New Physics in Electronic Recoil Data from XENONnT

Author

Aprile, E., Abe, K., Agostini, F., Maouloud, S. Ahmed, Althueser, L., Andrieu, B., Angelino, E., Angevaare, J. R., Antochi, V. C., Martin, D. Antón, Arneodo, F., Baudis, L., Baxter, A. L., Bellagamba, L., Biondi, R., Bismark, A., Brown, A., Bruenner, S., Bruno, G., Budnik, R., Bui, T. K., Cai, C., Capelli, C., Cardoso, J. M. R., Cichon, D., Clark, M., Colijn, A. P., Conrad, J., Cuenca-García, J. J., Cussonneau, J. P., D'Andrea, V., Decowski, M. P., Di Gangi, P., Di Pede, S., Di Giovanni, A., Di Stefano, R., Diglio, S., Eitel, K., Elykov, A., Farrell, S., Ferella, A. D., Ferrari, C., Fischer, H., Fulgione, W., Gaemers, P., Gaior, R., Rosso, A. Gallo, Galloway, M., Gao, F., Gardner, R., Glade-Beucke, R., Grandi, L., Grigat, J., Guida, M., Hammann, R., Higuera, A., Hils, C., Hoetzsch, L., Howlett, J., Iacovacci, M., Itow, Y., Jakob, J., Joerg, F., Joy, A., Kato, N., Kara, M., Kavrigin, P., Kazama, S., Kobayashi, M., Koltman, G., Kopec, A., Kuger, F., Landsman, H., Lang, R. F., Levinson, L., Li, I., Li, S., Liang, S., Lindemann, S., Lindner, M., Liu, K., Loizeau, J., Lombardi, F., Long, J., Lopes, J. A. M., Ma, Y., Macolino, C., Mahlstedt, J., Mancuso, A., Manenti, L., Marignetti, F., Undagoitia, T. Marrodán, Martens, K., Masbou, J., Masson, D., Masson, E., Mastroianni, S., Messina, M., Miuchi, K., Mizukoshi, K., Molinario, A., Moriyama, S., Morå, K., Mosbacher, Y., Murra, M., Müller, J., Ni, K., Oberlack, U., Paetsch, B., Palacio, J., Paschos, P., Peres, R., Peters, C., Pienaar, J., Pierre, M., Pizzella, V., Plante, G., Qi, J., Qin, J., García, D. Ramírez, Reichard, S., Rocchetti, A., Rupp, N., Sanchez, L., Santos, J. M. F. dos, Sarnoff, I., Sartorelli, G., Schreiner, J., Schulte, D., Schulte, P., Eißing, H. Schulze, Schumann, M., Lavina, L. Scotto, Selvi, M., Semeria, F., Shagin, P., Shi, S., Shockley, E., Silva, M., Simgen, H., Stephen, J., Takeda, A., Tan, P. -L., Terliuk, A., Thers, D., Toschi, F., Trinchero, G., Tunnell, C., Tönnies, F., Valerius, K., Volta, G., Wei, Y., Weinheimer, C., Weiss, M., Wenz, D., Wittweg, C., Wolf, T., Xu, D., Xu, Z., Yamashita, M., Yang, L., Ye, J., Yuan, L., Zavattini, G., Zhong, M., and Zhu, T.

Subjects
High Energy Physics - Experiment
Abstract

We report on a blinded analysis of low-energy electronic-recoil data from the first science run of the XENONnT dark matter experiment. Novel subsystems and the increased 5.9 tonne liquid xenon target reduced the background in the (1, 30) keV search region to $(15.8 \pm 1.3)$ events/(tonne$\times$year$\times$keV), the lowest ever achieved in a dark matter detector and $\sim$5 times lower than in XENON1T. With an exposure of 1.16 tonne-years, we observe no excess above background and set stringent new limits on solar axions, an enhanced neutrino magnetic moment, and bosonic dark matter., Comment: 10 pages, 6 figures. Data points are available in https://zenodo.org/record/7311940

Published
2022
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46. Double-Weak Decays of $^{124}$Xe and $^{136}$Xe in the XENON1T and XENONnT Experiments

Author

Aprile, E., Abe, K., Agostini, F., Maouloud, S. Ahmed, Alfonsi, M., Althueser, L., Andrieu, B., Angelino, E., Angevaare, J. R., Antochi, V. C., Martin, D. Antón, Arneodo, F., Baudis, L., Baxter, A. L., Bellagamba, L., Biondi, R., Bismark, A., Brown, A., Bruenner, S., Bruno, G., Budnik, R., Cai, C., Capelli, C., Cardoso, J. M. R., Cichon, D., Clark, M., Colijn, A. P., Conrad, J., Cuenca-García, J. J., Cussonneau, J. P., D'Andrea, V., Decowski, M. P., Di Gangi, P., Di Pede, S., Di Giovanni, A., Di Stefano, R., Diglio, S., Eitel, K., Elykov, A., Farrell, S., Ferella, A. D., Fischer, H., Fulgione, W., Gaemers, P., Gaior, R., Rosso, A. Gallo, Galloway, M., Gao, F., Glade-Beucke, R., Grandi, L., Grigat, J., Guida, M., Higuera, A., Hils, C., Hoetzsch, L., Howlett, J., Iacovacci, M., Itow, Y., Jakob, J., Joerg, F., Joy, A., Kato, N., Kara, M., Kavrigin, P., Kazama, S., Kobayashi, M., Koltman, G., Kopec, A., Landsman, H., Lang, R. F., Levinson, L., Li, I., Li, S., Liang, S., Lindemann, S., Lindner, M., Liu, K., Loizeau, J., Lombardi, F., Long, J., Lopes, J. A. M., Ma, Y., Macolino, C., Mahlstedt, J., Mancuso, A., Manenti, L., Manfredini, A., Marignetti, F., Undagoitia, T. Marrodán, Martens, K., Masbou, J., Masson, D., Masson, E., Mastroianni, S., Messina, M., Miuchi, K., Mizukoshi, K., Molinario, A., Moriyama, S., Morå, K., Mosbacher, Y., Murra, M., Müller, J., Ni, K., Oberlack, U., Paetsch, B., Palacio, J., Peres, R., Pienaar, J., Pierre, M., Pizzella, V., Plante, G., Qi, J., Qin, J., García, D. Ramírez, Reichard, S., Rocchetti, A., Rupp, N., Sanchez, L., Santos, J. M. F. dos, Sarnoff, I., Sartorelli, G., Schreiner, J., Schulte, D., Schulte, P., Eißing, H. Schulze, Schumann, M., Lavina, L. Scotto, Selvi, M., Semeria, F., Shagin, P., Shi, S., Shockley, E., Silva, M., Simgen, H., Takeda, A., Tan, P. -L., Terliuk, A., Thers, D., Toschi, F., Trinchero, G., Tunnell, C., Tönnies, F., Valerius, K., Volta, G., Wei, Y., Weinheimer, C., Weiss, M., Wenz, D., Wittweg, C., Wolf, T., Xu, Z., Yamashita, M., Yang, L., Ye, J., Yuan, L., Zavattini, G., Zerbo, S., Zhong, M., and Zhu, T.

Subjects
High Energy Physics - Experiment, Nuclear Experiment
Abstract

We present results on the search for double-electron capture ($2\nu\text{ECEC}$) of $^{124}$Xe and neutrinoless double-$\beta$ decay ($0\nu\beta\beta$) of $^{136}$Xe in XENON1T. We consider captures from the K- up to the N-shell in the $2\nu\text{ECEC}$ signal model and measure a total half-life of $T_{1/2}^{2\nu\text{ECEC}}=(1.1\pm0.2_\text{stat}\pm0.1_\text{sys})\times 10^{22}\;\text{yr}$ with a $0.87\;\text{kg}\times\text{yr}$ isotope exposure. The statistical significance of the signal is $7.0\,\sigma$. We use XENON1T data with $36.16\;\text{kg}\times\text{yr}$ of $^{136}$Xe exposure to search for $0\nu\beta\beta$. We find no evidence of a signal and set a lower limit on the half-life of $T_{1/2}^{0\nu\beta\beta} > 1.2 \times 10^{24}\;\text{yr}\; \text{at}\; 90\,\%\;\text{CL}$. This is the best result from a dark matter detector without an enriched target to date. We also report projections on the sensitivity of XENONnT to $0\nu\beta\beta$. Assuming a $275\;\text{kg}\times\text{yr}$ $^{136}$Xe exposure, the expected sensitivity is $T_{1/2}^{0\nu\beta\beta} > 2.1 \times 10^{25}\;\text{yr}\; \text{at}\; 90\,\%\;\text{CL}$, corresponding to an effective Majorana mass range of $\langle m_{\beta\beta} \rangle < (0.19 - 0.59)\;\text{eV/c}^2$., Comment: 23 pages, 14 figures, 9 tables, version accepted for publication in Phys. Rev. C

Published
2022
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47. A Next-Generation Liquid Xenon Observatory for Dark Matter and Neutrino Physics

Author

Aalbers, J., Abe, K., Aerne, V., Agostini, F., Maouloud, S. Ahmed, Akerib, D. S., Akimov, D. Yu., Akshat, J., Musalhi, A. K. Al, Alder, F., Alsum, S. K., Althueser, L., Amarasinghe, C. S., Amaro, F. D., Ames, A., Anderson, T. J., Andrieu, B., Angelides, N., Angelino, E., Angevaare, J., Antochi, V. C., Martin, D. Antón, Antunovic, B., Aprile, E., Araújo, H. M., Armstrong, J. E., Arneodo, F., Arthurs, M., Asadi, P., Baek, S., Bai, X., Bajpai, D., Baker, A., Balajthy, J., Balashov, S., Balzer, M., Bandyopadhyay, A., Bang, J., Barberio, E., Bargemann, J. W., Baudis, L., Bauer, D., Baur, D., Baxter, A., Baxter, A. L., Bazyk, M., Beattie, K., Behrens, J., Bell, N. F., Bellagamba, L., Beltrame, P., Benabderrahmane, M., Bernard, E. P., Bertone, G. F., Bhattacharjee, P., Bhatti, A., Biekert, A., Biesiadzinski, T. P., Binau, A. R., Biondi, R., Biondi, Y., Birch, H. J., Bishara, F., Bismark, A., Blanco, C., Blockinger, G. M., Bodnia, E., Boehm, C., Bolozdynya, A. I., Bolton, P. D., Bottaro, S., Bourgeois, C., Boxer, B., Brás, P., Breskin, A., Breur, P. A., Brew, C. A. J., Brod, J., Brookes, E., Brown, A., Brown, E., Bruenner, S., Bruno, G., Budnik, R., Bui, T. K., Burdin, S., Buse, S., Busenitz, J. K., Buttazzo, D., Buuck, M., Buzulutskov, A., Cabrita, R., Cai, C., Cai, D., Capelli, C., Cardoso, J. M. R., Carmona-Benitez, M. C., Cascella, M., Catena, R., Chakraborty, S., Chan, C., Chang, S., Chauvin, A., Chawla, A., Chen, H., Chepel, V., Chott, N. I., Cichon, D., Chavez, A. Cimental, Cimmino, B., Clark, M., Co, R. T., Colijn, A. P., Conrad, J., Converse, M. V., Costa, M., Cottle, A., Cox, G., Creaner, O., Garcia, J. J. Cuenca, Cussonneau, J. P., Cutter, J. E., Dahl, C. E., D'Andrea, V., David, A., Decowski, M. P., Dent, J. B., Deppisch, F. F., de Viveiros, L., Di Gangi, P., Di Giovanni, A., Di Pede, S., Dierle, J., Diglio, S., Dobson, J. E. Y., Doerenkamp, M., Douillet, D., Drexlin, G., Druszkiewicz, E., Dunsky, D., Eitel, K., Elykov, A., Emken, T., Engel, R., Eriksen, S. R., Fairbairn, M., Fan, A., Fan, J. J., Farrell, S. J., Fayer, S., Fearon, N. M., Ferella, A., Ferrari, C., Fieguth, A., Fiorucci, S., Fischer, H., Flaecher, H., Flierman, M., Florek, T., Foot, R., Fox, P. J., Franceschini, R., Fraser, E. D., Frenk, C. S., Frohlich, S., Fruth, T., Fulgione, W., Fuselli, C., Gaemers, P., Gaior, R., Gaitskell, R. J., Galloway, M., Gao, F., Garcia, I. Garcia, Genovesi, J., Ghag, C., Ghosh, S., Gibson, E., Gil, W., Giovagnoli, D., Girard, F., Glade-Beucke, R., Glück, F., Gokhale, S., de Gouvêa, A., Gráf, L., Grandi, L., Grigat, J., Grinstein, B., van der Grinten, M. G. D., Grössle, R., Guan, H., Guida, M., Gumbsheimer, R., Gwilliam, C. B., Hall, C. R., Hall, L. J., Hammann, R., Han, K., Hannen, V., Hansmann-Menzemer, S., Harata, R., Hardin, S. P., Hardy, E., Hardy, C. A., Harigaya, K., Harnik, R., Haselschwardt, S. J., Hernandez, M., Hertel, S. A., Higuera, A., Hils, C., Hochrein, S., Hoetzsch, L., Hoferichter, M., Hood, N., Hooper, D., Horn, M., Howlett, J., Huang, D. Q., Huang, Y., Hunt, D., Iacovacci, M., Iaquaniello, G., Ide, R., Ignarra, C. M., Iloglu, G., Itow, Y., Jacquet, E., Jahangir, O., Jakob, J., James, R. S., Jansen, A., Ji, W., Ji, X., Joerg, F., Johnson, J., Joy, A., Kaboth, A. C., Kamaha, A. C., Kanezaki, K., Kar, K., Kara, M., Kato, N., Kavrigin, P., Kazama, S., Keaveney, A. W., Kellerer, J., Khaitan, D., Khazov, A., Khundzakishvili, G., Khurana, I., Kilminster, B., Kleifges, M., Ko, P., Kobayashi, M., Kodroff, D., Koltmann, G., Kopec, A., Kopmann, A., Kopp, J., Korley, L., Kornoukhov, V. N., Korolkova, E. V., Kraus, H., Krauss, L. M., Kravitz, S., Kreczko, L., Kudryavtsev, V. A., Kuger, F., Kumar, J., Paredes, B. López, LaCascio, L., Laine, Q., Landsman, H., Lang, R. F., Leason, E. A., Lee, J., Leonard, D. S., Lesko, K. T., Levinson, L., Levy, C., Li, I., Li, S. C., Li, T., Liang, S., Liebenthal, C. S., Lin, J., Lin, Q., Lindemann, S., Lindner, M., Lindote, A., Linehan, R., Lippincott, W. H., Liu, X., Liu, K., Liu, J., Loizeau, J., Lombardi, F., Long, J., Lopes, M. I., Asamar, E. Lopez, Lorenzon, W., Lu, C., Luitz, S., Ma, Y., Machado, P. A. N., Macolino, C., Maeda, T., Mahlstedt, J., Majewski, P. A., Manalaysay, A., Mancuso, A., Manenti, L., Manfredini, A., Mannino, R. L., Marangou, N., March-Russell, J., Marignetti, F., Undagoitia, T. Marrodán, Martens, K., Martin, R., Martinez-Soler, I., Masbou, J., Masson, D., Masson, E., Mastroianni, S., Mastronardi, M., Matias-Lopes, J. A., McCarthy, M. E., McFadden, N., McGinness, E., McKinsey, D. N., McLaughlin, J., McMichael, K., Meinhardt, P., Menéndez, J., Meng, Y., Messina, M., Midha, R., Milisavljevic, D., Miller, E. H., Milosevic, B., Milutinovic, S., Mitra, S. A., Miuchi, K., Mizrachi, E., Mizukoshi, K., Molinario, A., Monte, A., Monteiro, C. M. B., Monzani, M. E., Moore, J. S., Morå, K., Morad, J. A., Mendoza, J. D. Morales, Moriyama, S., Morrison, E., Morteau, E., Mosbacher, Y., Mount, B. J., Mueller, J., Murphy, A. St. J., Murra, M., Naim, D., Nakamura, S., Nash, E., Navaieelavasani, N., Naylor, A., Nedlik, C., Nelson, H. N., Neves, F., Newstead, J. L., Ni, K., Nikoleyczik, J. A., Niro, V., Oberlack, U. G., Obradovic, M., Odgers, K., O'Hare, C. A. J., Oikonomou, P., Olcina, I., Oliver-Mallory, K., Oranday, A., Orpwood, J., Ostrovskiy, I., Ozaki, K., Paetsch, B., Pal, S., Palacio, J., Palladino, K. J., Palmer, J., Panci, P., Pandurovic, M., Parlati, A., Parveen, N., Patton, S. J., Pěč, V., Pellegrini, Q., Penning, B., Pereira, G., Peres, R., Perez-Gonzalez, Y., Perry, E., Pershing, T., Petrossian-Byrne, R., Pienaar, J., Piepke, A., Pieramico, G., Pierre, M., Piotter, M., Pizella, V., Plante, G., Pollmann, T., Porzio, D., Qi, J., Qie, Y., Qin, J., Raj, N., Silva, M. Rajado, Ramanathan, K., García, D. Ramírez, Ravanis, J., Redard-Jacot, L., Redigolo, D., Reichard, S., Reichenbacher, J., Rhyne, C. A., Richards, A., Riffard, Q., Rischbieter, G. R. C., Rocchetti, A., Rosenfeld, S. L., Rosero, R., Rupp, N., Rushton, T., Saha, S., Sanchez, L., Sanchez-Lucas, P., Santone, D., Santos, J. M. F. dos, Sarnoff, I., Sartorelli, G., Sazzad, A. B. M. R., Scheibelhut, M., Schnee, R. W., Schrank, M., Schreiner, J., Schulte, P., Schulte, D., Eissing, H. Schulze, Schumann, M., Schwemberger, T., Schwenk, A., Schwetz, T., Lavina, L. Scotto, Scovell, P. R., Sekiya, H., Selvi, M., Semenov, E., Semeria, F., Shagin, P., Shaw, S., Shi, S., Shockley, E., Shutt, T. A., Si-Ahmed, R., Silk, J. J., Silva, C., Silva, M. C., Simgen, H., Šimkovic, F., Sinev, G., Singh, R., Skulski, W., Smirnov, J., Smith, R., Solmaz, M., Solovov, V. N., Sorensen, P., Soria, J., Sparmann, T. J., Stancu, I., Steidl, M., Stevens, A., Stifter, K., Strigari, L. E., Subotic, D., Suerfu, B., Suliga, A. M., Sumner, T. J., Szabo, P., Szydagis, M., Takeda, A., Takeuchi, Y., Tan, P. -L., Taricco, C., Taylor, W. C., Temples, D. J., Terliuk, A., Terman, P. A., Thers, D., Thieme, K., Thümmler, Th., Tiedt, D. R., Timalsina, M., To, W. H., Toennies, F., Tong, Z., Toschi, F., Tovey, D. R., Tranter, J., Trask, M., Trinchero, G. C., Tripathi, M., Tronstad, D. R., Trotta, R., Tsai, Y. D., Tunnell, C. D., Turner, W. G., Ueno, R., Urquijo, P., Utku, U., Vaitkus, A., Valerius, K., Vassilev, E., Vecchi, S., Velan, V., Vetter, S., Vincent, A. C., Vittorio, L., Volta, G., von Krosigk, B., von Piechowski, M., Vorkapic, D., Wagner, C. E. M., Wang, A. M., Wang, B., Wang, Y., Wang, W., Wang, J. J., Wang, L. -T., Wang, M., Watson, J. R., Wei, Y., Weinheimer, C., Weisman, E., Weiss, M., Wenz, D., West, S. M., Whitis, T. J., Williams, M., Wilson, M. J., Winkler, D., Wittweg, C., Wolf, J., Wolf, T., Wolfs, F. L. H., Woodford, S., Woodward, D., Wright, C. J., Wu, V. H. S., Wu, P., Wüstling, S., Wurm, M., Xia, Q., Xiang, X., Xing, Y., Xu, J., Xu, Z., Xu, D., Yamashita, M., Yamazaki, R., Yan, H., Yang, L., Yang, Y., Ye, J., Yeh, M., Young, I., Yu, H. B., Yu, T. T., Yuan, L., Zavattini, G., Zerbo, S., Zhang, Y., Zhong, M., Zhou, N., Zhou, X., Zhu, T., Zhu, Y., Zhuang, Y., Zopounidis, J. P., Zuber, K., and Zupan, J.

Subjects
Physics - Instrumentation and Detectors, Astrophysics - Cosmology and Nongalactic Astrophysics, High Energy Physics - Experiment, Nuclear Experiment
Abstract

The nature of dark matter and properties of neutrinos are among the most pressing issues in contemporary particle physics. The dual-phase xenon time-projection chamber is the leading technology to cover the available parameter space for Weakly Interacting Massive Particles (WIMPs), while featuring extensive sensitivity to many alternative dark matter candidates. These detectors can also study neutrinos through neutrinoless double-beta decay and through a variety of astrophysical sources. A next-generation xenon-based detector will therefore be a true multi-purpose observatory to significantly advance particle physics, nuclear physics, astrophysics, solar physics, and cosmology. This review article presents the science cases for such a detector., Comment: 77 pages, 40 figures, 1262 references

Published
2022
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