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28,250 results on '"Chang, S."'

4. Absolute Flux Density Calibration of the Greenland Telescope Data for Event Horizon Telescope Observations

Author

Koay, J. Y., Asada, K., Matsushita, S., Kuo, C. -Y., Huang, C. -W. L., Romero-Cañizales, C., Koyama, S., Park, J., Lo, W. -P., Bower, G., Chen, M. -T., Chang, S. -H., Chen, C. -C., Chilson, R., Han, C. C., Ho, P. T. P., Huang, Y. -D., Inoue, M., Jeter, B., Jiang, H., Koch, P. M., Kubo, D., Li, C. -T., Liu, C. -T., Liu, K. -Y., Martin-Cocher, P., Nakamura, M., Norton, T. J., Nystrom, G., Oshiro, P., Patel, N., Pen, U. -L., Pu, H. -Y, Raffin, P. A., Rao, R., Sridharan, T. K., Srinivasan, R., and Wei, T. -S

Subjects
Astrophysics - Instrumentation and Methods for Astrophysics
Abstract

Starting from the observing campaign in April 2018, the Greenland Telescope (GLT) has been added as a new station of the Event Horizon Telescope (EHT) array. Visibilities on baselines to the GLT, particularly in the North-South direction, potentially provide valuable new constraints for the modeling and imaging of sources such as M87*. The GLT's location at high Northern latitudes adds unique challenges to its calibration strategies. Additionally, the performance of the GLT was not optimal during the 2018 observations due to it being only partially commissioned at the time. This document describes the steps taken to estimate the various parameters (and their uncertainties) required for the absolute flux calibration of the GLT data as part of the EHT. In particular, we consider the non-optimized status of the GLT in 2018, as well as its improved performance during the 2021 EHT campaign., Comment: 17 pages, 4 figures, EHT Memo Series 2023-L1-02

Published
2023

8. The Utility of Speckle Tracking Echocardiographic Parameters in Predicting Atrial Fibrillation Recurrence After Catheter Ablation in Patients with Non-Valvular Atrial Fibrillation

Author

Zeng D, Li L, Chang S, Zhang X, Zhong Y, Cai Y, Huang T, and Wu J

Subjects
non-valvular atrial fibrillation, catheter ablation, speckle tracking echocardiography, atrial fibrillation recurrence., Therapeutics. Pharmacology, RM1-950
Abstract

Decai Zeng, Linyan Li, Shuai Chang, Xiaofeng Zhang, Yanfen Zhong, Yongzhi Cai, Tongtong Huang, Ji Wu Department of Ultrasonic Medicine, the First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, People’s Republic of ChinaCorrespondence: Ji Wu, Department of Ultrasonic Medicine, the First Affiliated Hospital of Guangxi Medical University, 6 Shuangyong Road, Nanning, Guangxi Zhuang Autonomous Region, People’s Republic of China, Email gxnnwuji@163.comBackground: Despite the efficacy of catheter ablation (CA) as a treatment for non-valvular atrial fibrillation (NVAF), many patients still experience atrial fibrillation (AF) recurrence after CA. This study aimed to evaluate the predictive value of speckle tracking echocardiographic (STE) parameters for AF recurrence post-ablation.Methods: A total of 380 NVAF patients treated with CA at the First Affiliated Hospital of Guangxi Medical University from January 2020 to March 2023 were prospectively recruited. The mean age was 59.4 ± 10.8 years, and 72.1% were male, including 150 patients (39.5%) with persistent AF and 230 patients (60.5%) with paroxysmal AF. STE was used to evaluate baseline left atrial (LA) function before CA within 48h. Over a median follow-up of 9 (interquartile range, 4– 17) months, AF recurrence occurred in 132 patients (34.7%).Results: The recurrence group showed lower left ventricular ejection fraction, LA reservoir strain (LASr), and conduit strain (LAScd), but higher LA stiffness than non- recurrence group (all P < 0.05). Multivariable Cox regression identified LA stiffness and LASr as independent risk factors. Time-dependent ROC analysis showed that LA stiffness (AUC 0.768, 95% CI 0.705– 0.831) and LASr (AUC 0.755, 95% CI 0.691– 0.820) were better at predicting 1-year AF recurrence than other risk factors. For 2-year AF recurrence post-catheter ablation, LA stiffness (AUC 0.866, 95% CI 0.804– 0.928) and LASr (AUC 0.860, 95% CI 0.800– 0.920) also demonstrated superior predictive performance. Kaplan-Meier curves showed a significant difference in AF recurrence rate for patients with LA stiffness > 0.55 and LASr ≤ 24.3% (Log rank P < 0.01).Conclusion: Evaluation of LA function using STE assists in stratifying the risk of AF recurrence in NVAF patients and guiding follow-up management. LASr and LA stiffness are independent predictors of AF recurrence following CA in NVAF patients, and potentially outperforming other morphological parameters.Keywords: non-valvular atrial fibrillation, catheter ablation, speckle tracking echocardiography, atrial fibrillation recurrence

Published
2024

9. Automatic Echocardiographic Assessment of Left Atrial Function for Prediction of Low-Voltage Areas in Non-Valvular Atrial Fibrillation

Author

Chang S, Zhang X, Ge C, Zhong Y, Zeng D, Cai Y, Huang T, and Wu J

Subjects
echocardiography, dynamic-heartmodel, autostrain, non-valvular atrial fibrillation, left atrial low-voltage areas, Medicine (General), R5-920
Abstract

Shuai Chang,1 Xiaofeng Zhang,1 Chenliang Ge,2 Yanfen Zhong,1 Decai Zeng,1 Yongzhi Cai,1 Tongtong Huang,1 Ji Wu1 1Department of Ultrasonic Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning, People’s Republic of China; 2Department of Cardiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, People’s Republic of ChinaCorrespondence: Ji Wu, Department of Ultrasonic Medicine, The First Affiliated Hospital of Guangxi Medical University, No. 6 Shuangyong Road Qingxiu District, Nanning, Guangxi Zhuang Autonomous Region, 530021, People’s Republic of China, Tel +86 15773435752, Email gxnnwuji@163.comPurpose: Left atrial low-voltage areas (LA-LVAs) identified by 3D-electroanatomical mapping are crucial for determining treatment strategies and prognosis in patients with atrial fibrillation (AF). However, convenient and accurate prediction of LA-LVAs remains challenging. This study aimed to assess the viability of utilizing automatically obtained echocardiographic parameters to predict the presence of LA-LVAs in patients with non-valvular atrial fibrillation (NVAF).Patients and Methods: This retrospective study included 190 NVAF patients who underwent initial catheter ablation. Before ablation, echocardiographic data were obtained, left atrial volume and strain were automatically calculated using advanced software (Dynamic-HeartModel and AutoStrain). Electroanatomic mapping (EAM) was also performed. Results were compared between patients with LA-LVAs ≥ 5% (LVAs group) and < 5% (non-LVAs group).Results: LA-LVAs were observed in 81 patients (42.6%), with a significantly higher incidence in those with persistent AF than paroxysmal AF (55.6% vs 19.3%, P

Published
2024

10. Could a Growth Mindset Attenuate the Link Between Family Socioeconomic Status and Depressive Symptoms? Evidence from Chinese Adolescents

Author

Chang S, Zhang Y, Wang C, Xu F, Huang Y, and Xin S

Subjects
growth mindset, socioeconomic status, depression, adolescent, interparental conflict, Psychology, BF1-990, Industrial psychology, HF5548.7-5548.85
Abstract

Song Chang,1,2 Yaohua Zhang,1,2 Chunxu Wang,1 Fan Xu,1 Yunyun Huang,1,2 Sufei Xin1,2 1College of Education, Ludong University, Yantai, Shandong, People’s Republic of China; 2Collaborative Innovation Center for the Mental Health of Youth from the Era of Conversion of New and Old Kinetic Energy along the Yellow River Basin, Yantai, Shandong, People’s Republic of ChinaCorrespondence: Sufei Xin, College of Education, Ludong University; Collaborative Innovation Center for the Mental Health of Youth from the Era of Conversion of New and Old Kinetic Energy along the Yellow River Basin, No. 186, Hongqi Middle Road, Yantai, Shandong, People’s Republic of China, Email xinsufei2016@ldu.edu.cnPurpose: The alleviating effects of a growth mindset on depression are promising. However, whether a growth mindset can attenuate the effect of low family socioeconomic status (SES) on depressive symptoms among adolescents remains unknown. Based on the Family Stress Model, the current study explores whether a growth mindset could moderate the associations between family SES, interparental conflict, and adolescent depressive symptoms.Methods: The participants were 1572 Chinese adolescents (Mage = 13.35 years, SD = 1.16, 51.84% female). They completed the family SES questionnaire, Children’s Perceptions of Interparental Conflict scale, Growth Mindset scale, and Center for Epidemiologic Studies Depression scale. We tested the moderation, mediation, and moderated mediation models using the SPSS macro program PROCESS.Results: A growth mindset moderated the association between family SES and depressive symptoms. Family SES was significantly related to depressive symptoms in adolescents with a lower growth mindset, but not in those with a higher growth mindset. After incorporating the mediating effect of interparental conflict, the growth mindset did not exert a significant moderating influence on the direct path; however, it significantly moderated the mediating effect of interparental conflict on depressive symptoms. Specifically, while a lower growth mindset in adolescents was associated with an increased risk of depressive symptoms due to interparental conflict, those with a higher growth mindset showed a less pronounced effect.Conclusion: A growth mindset attenuates the link between family SES and depressive symptoms among adolescents. These findings highlight the benefits of a growth mindset on mental health, especially for low-SES adolescents.Keywords: growth mindset, socioeconomic status, depression, adolescent, interparental conflict

Published
2024

11. Low Rank Properties for Estimating Microphones Start Time and Sources Emission Time

Author

Cao, Faxian, Cheng, Yongqiang, Khan, Adil Mehmood, Yang, Zhijing, and Chang, S. M. Ahsan Kazmiand Yingxiu

Subjects
Electrical Engineering and Systems Science - Audio and Speech Processing, Computer Science - Sound
Abstract

Uncertainty in timing information pertaining to the start time of microphone recordings and sources' emission time pose significant challenges in various applications, such as joint microphones and sources localization. Traditional optimization methods, which directly estimate this unknown timing information (UTIm), often fall short compared to approaches exploiting the low-rank property (LRP). LRP encompasses an additional low-rank structure, facilitating a linear constraint on UTIm to help formulate related low-rank structure information. This method allows us to attain globally optimal solutions for UTIm, given proper initialization. However, the initialization process often involves randomness, leading to suboptimal, local minimum values. This paper presents a novel, combined low-rank approximation (CLRA) method designed to mitigate the effects of this random initialization. We introduce three new LRP variants, underpinned by mathematical proof, which allow the UTIm to draw on a richer pool of low-rank structural information. Utilizing this augmented low-rank structural information from both LRP and the proposed variants, we formulate four linear constraints on the UTIm. Employing the proposed CLRA algorithm, we derive global optimal solutions for the UTIm via these four linear constraints.Experimental results highlight the superior performance of our method over existing state-of-the-art approaches, measured in terms of both the recovery number and reduced estimation errors of UTIm., Comment: 13 pages for main content; 9 pages for proof of proposed low rank properties; 13 figures

Published
2023

12. Therapy-induced APOBEC3A drives evolution of persistent cancer cells

Author

Isozaki, Hideko, Sakhtemani, Ramin, Abbasi, Ammal, Nikpour, Naveed, Stanzione, Marcello, Oh, Sunwoo, Langenbucher, Adam, Monroe, Susanna, Su, Wenjia, Cabanos, Heidie Frisco, Siddiqui, Faria M, Phan, Nicole, Jalili, Pégah, Timonina, Daria, Bilton, Samantha, Gomez-Caraballo, Maria, Archibald, Hannah L, Nangia, Varuna, Dionne, Kristin, Riley, Amanda, Lawlor, Matthew, Banwait, Mandeep Kaur, Cobb, Rosemary G, Zou, Lee, Dyson, Nicholas J, Ott, Christopher J, Benes, Cyril, Getz, Gad, Chan, Chang S, Shaw, Alice T, Gainor, Justin F, Lin, Jessica J, Sequist, Lecia V, Piotrowska, Zofia, Yeap, Beow Y, Engelman, Jeffrey A, Lee, Jake June-Koo, Maruvka, Yosef E, Buisson, Rémi, Lawrence, Michael S, and Hata, Aaron N

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Genetics, Lung Cancer, Cancer, Lung, Aetiology, 5.1 Pharmaceuticals, Development of treatments and therapeutic interventions, 2.1 Biological and endogenous factors, Good Health and Well Being, Humans, Cytidine Deaminase, DNA Breaks, Double-Stranded, Genomic Instability, Lung Neoplasms, Molecular Targeted Therapy, Mutation, Drug Resistance, Neoplasm, General Science & Technology
Abstract

Acquired drug resistance to anticancer targeted therapies remains an unsolved clinical problem. Although many drivers of acquired drug resistance have been identified1-4, the underlying molecular mechanisms shaping tumour evolution during treatment are incompletely understood. Genomic profiling of patient tumours has implicated apolipoprotein B messenger RNA editing catalytic polypeptide-like (APOBEC) cytidine deaminases in tumour evolution; however, their role during therapy and the development of acquired drug resistance is undefined. Here we report that lung cancer targeted therapies commonly used in the clinic can induce cytidine deaminase APOBEC3A (A3A), leading to sustained mutagenesis in drug-tolerant cancer cells persisting during therapy. Therapy-induced A3A promotes the formation of double-strand DNA breaks, increasing genomic instability in drug-tolerant persisters. Deletion of A3A reduces APOBEC mutations and structural variations in persister cells and delays the development of drug resistance. APOBEC mutational signatures are enriched in tumours from patients with lung cancer who progressed after extended responses to targeted therapies. This study shows that induction of A3A in response to targeted therapies drives evolution of drug-tolerant persister cells, suggesting that suppression of A3A expression or activity may represent a potential therapeutic strategy in the prevention or delay of acquired resistance to lung cancer targeted therapy.

Published
2023

16. Dietary Beetroot Juice – Effects in Patients with COPD: A Review

Author

Chen M, Chang S, Xu Y, Guo H, and Liu J

Subjects
chronic obstructive pulmonary disease, beetroot, nitrates, nitric oxide, exercise, vascular function, Diseases of the respiratory system, RC705-779
Abstract

Mingming Chen,1 Shuting Chang,1 Yunpeng Xu,1 Hong Guo,2 Jian Liu1,3 1The First Clinical Medical College of Lanzhou University, Lanzhou City, Gansu Province, People’s Republic of China; 2Department of Critical Care Medicine, Gansu Provincial Maternity and Child-Care Hospital, Lanzhou City, Gansu Province, People’s Republic of China; 3Gansu Provincial Maternity and Child-Care Hospital (Gansu Provincial Center Hospital), Lanzhou City, Gansu Province, People’s Republic of ChinaCorrespondence: Jian Liu, Department of Clinical Medicine, The First Clinical Medical College of Lanzhou University, No. 1, Donggang West Road, Chengguan District, Lanzhou City, Gansu Province, People’s Republic of China, Tel +86 136 0935 4197, Email medecinliujian@163.comAbstract: Chronic Obstructive Pulmonary Disease (COPD) exerts a severe toll on human health and the economy, with high prevalence and mortality rates. The search for bioactive components effective in the treatment of COPD has become a focal point of research. Beetroot juice, readily accessible and cost-effective, is noted for its ability to enhance athletic performance and for its preventive and therapeutic impact on hypertension. Beetroot juice is a rich source of dietary nitrates and modulates physiological processes via the nitrate-nitrite- nitric oxide pathway, exerting multiple beneficial effects such as antihypertensive, bronchodilatory, anti-inflammatory, antioxidant, hypoglycemic, and lipid-lowering actions. This paper provides a review of the existing research on the effects of beetroot juice on COPD, summarizing its potential in enhancing exercise capacity, lowering blood pressure, improving vascular function, and ameliorating sleep quality among patients with COPD. The review serves as a reference for the prospective use of beetroot juice in the symptomatic improvement of COPD, as well as in the prevention of exacerbations and associated comorbidities.Keywords: chronic obstructive pulmonary disease, beetroot, nitrates, nitric oxide, exercise, vascular function

Published
2024

17. Topographic analysis of pancreatic cancer by TMA and digital spatial profiling reveals biological complexity with potential therapeutic implications

Author

Victoria Bingham, Louise Harewood, Stephen McQuaid, Stephanie G. Craig, Julia F. Revolta, Chang S. Kim, Shambhavi Srivastava, Javier Quezada-Marín, Matthew P. Humphries, and Manuel Salto-Tellez

Subjects
Pancreatic ductal adenocarcinoma, Topographic tissue microarrays, Image analysis, Biomarkers, Tumour heterogeneity, Digital spatial profiling, Medicine, Science
Abstract

Abstract Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal human malignancies. Tissue microarrays (TMA) are an established method of high throughput biomarker interrogation in tissues but may not capture histological features of cancer with potential biological relevance. Topographic TMAs (T-TMAs) representing pathophysiological hallmarks of cancer were constructed from representative, retrospective PDAC diagnostic material, including 72 individual core tissue samples. The T-TMA was interrogated with tissue hybridization-based experiments to confirm the accuracy of the topographic sampling, expression of pro-tumourigenic and immune mediators of cancer, totalling more than 750 individual biomarker analyses. A custom designed Next Generation Sequencing (NGS) panel and a spatial distribution-specific transcriptomic evaluation were also employed. The morphological choice of the pathophysiological hallmarks of cancer was confirmed by protein-specific expression. Quantitative analysis identified topography-specific patterns of expression in the IDO/TGF-β axis; with a heterogeneous relationship of inflammation and desmoplasia across hallmark areas and a general but variable protein and gene expression of c-MET. NGS results highlighted underlying genetic heterogeneity within samples, which may have a confounding influence on the expression of a particular biomarker. T-TMAs, integrated with quantitative biomarker digital scoring, are useful tools to identify hallmark specific expression of biomarkers in pancreatic cancer.

Published
2024
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19. Theoretical Approaches for the Damage Identification in the Timoshenko Beam Based on Solving a Coefficient Inverse Problem

Author

Yakovlev, V. E., Cherpakov, A. V., Chang, S.-H., Ghosh, Arindam, Series Editor, Chua, Daniel, Series Editor, de Souza, Flavio Leandro, Series Editor, Aktas, Oral Cenk, Series Editor, Han, Yafang, Series Editor, Gong, Jianghong, Series Editor, Jawaid, Mohammad, Series Editor, Parinov, Ivan A., editor, Chang, Shun-Hsyung, editor, and Putri, Erni Puspanantasari, editor

Published
2024
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20. Quantum-improved phase estimation with a displacement-assisted SU(1,1) interferometer

Author

Ye, W., Chang, S. K., Gao, S. Y., Zhang, H., Xia, Y., and Rao, X.

Subjects
Quantum Physics
Abstract

By performing two local displacement operations (LDOs) inside an SU(1,1) interferometer, called as the displacement-assisted SU(1,1) [DSU(1,1)], both the phase sensitivity based on homodyne detection and quantum Fisher information (QFI) with and without photon losses are investigated in this paper. In this DSU(1,1) interferometer, we focus our attention on the extent to which the introduced LDO affects the phase sensitivity and the QFI, even in the realistic scenario. Our analyses show that the estimation performance of DSU(1,1) interferometer is always better than that of SU(1,1) interferometer without the LDO, especially the phase precision of the former in the ideal scenario gradually approaching to the Heisenberg limit via the increase of the LDO strength. More significantly, different from the latter, the robustness of the former can be enhanced markedly by regulating and controlling the LDO. Our findings would open an useful view for quantum-improved phase estimation of optical interferometers., Comment: 12 pages, 11 figures

Published
2022

21. Report of the Topical Group on Higgs Physics for Snowmass 2021: The Case for Precision Higgs Physics

Author

Dawson, Sally, Meade, Patrick, Ojalvo, Isobel, Vernieri, Caterina, Adhikari, S., Abu-Ajamieh, F., Alberta, A., Bahl, H., Barman, R., Basso, M., Beniwal, A., Bozovi-Jelisav, I., Bright-Thonney, S., Cairo, V., Celiberto, F., Chang, S., Chen, M., Damerell, C., Davis, J., de Blas, J., Dekens, W., Duarte, J., Egana-Ugrinovic, D., Einhaus, U., Gao, Y., Goncalves, D., Gritsan, A., Haber, H., Heintz, U., Homiller, S., Hsu, S. C., Jean, D., Kawada, S., Khoda, E., Kong, K., Konstantinidis, N., Korytov, A., Kyriacou, S., Lane, S., Lewis, I. M., Li, K., Li, S., Liu, Z., Luo, J., Mandacar-Guerra, L., Mantel, C., Monroy, J., Narain, M., Orr, R., Pan, R., Papaefstathiou, A., Peskin, M., Prim, M. T., Rajec, F., Ramsey-Musolf, M., Reichert, J., Reina, L., Robens, T., Roskes, J., Ryd, A., Schwartzman, A., Scott, P., Strube, J., Dong, Su, Su, W., Sullivan, M., Tanabe, T., Tian, J., Tricoli, A., Usai, E., Vavra, J., Wang, Z., White, G., White, M., Williams, A. G., Woodcock, A., Wu, Y., Young, C., Zhang, Y., Zhu, X., and Zou, R.

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

A future Higgs Factory will provide improved precision on measurements of Higgs couplings beyond those obtained by the LHC, and will enable a broad range of investigations across the fields of fundamental physics, including the mechanism of electroweak symmetry breaking, the origin of the masses and mixing of fundamental particles, the predominance of matter over antimatter, and the nature of dark matter. Future colliders will measure Higgs couplings to a few per cent, giving a window to beyond the Standard Model (BSM) physics in the 1-10 TeV range. In addition, they will make precise measurements of the Higgs width, and characterize the Higgs self-coupling. This report details the work of the EF01 and EF02 working groups for the Snowmass 2021 study., Comment: 44 pages, 40 figures, Report of the Topical Group on Higgs Physics for Snowmass 2021. The first four authors are the Conveners, with Contributions from the other authors

Published
2022

24. 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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33. Multi-filter photometry of Solar System Objects from the SkyMapper Southern Survey

Author

Sergeyev, A. V., Carry, B., Onken, C. A., Devillepoix, H. A. R., Wolf, C., and Chang, S. -W.

Subjects
Astrophysics - Earth and Planetary Astrophysics
Abstract

Context. The populations of small bodies of the Solar System (asteroids, comets, Kuiper Belt objects) are used to constrain the origin and evolution of the Solar System. Both their orbital distribution and composition distribution are required to track the dynamical pathway from their regions of formation to their current locations. Aims. We aim at increasing the sample of Solar System objects (SSOs) that have multi-filter photometry and compositional taxonomy. Methods. We search for moving objects in the SkyMapper Southern Survey. We use the predicted SSO positions to extract photometry and astrometry from the SkyMapper frames. We then apply a suite of filters to clean the catalog for false-positive detections. We finally use the near-simultaneous photometry to assign a taxonomic class to objects. Results. We release a catalog of 880,528 individual observations, consisting of 205,515 known and unique SSOs. The catalog completeness is estimated to be about 97% down to V=18 mag and the purity to be above 95% for known SSOs. The near-simultaneous photometry provides either three, two, or a single color that we use to classify 117,356 SSOs with a scheme consistent with the widely used Bus-DeMeo taxonomy. Conclusions. The present catalog contributes significantly to the sample of asteroids with known surface properties (about 40% of main-belt asteroids down to an absolute magnitude of 16). We will release more observations of SSOs with future SkyMapper data releases., Comment: 15 pages, 22 figures, 13 tables

Published
2021
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39. The fast non-ferric kicker system for the Muon $g-2$ Experiment at Fermilab

Author

Schreckenberger, A. P., Allspach, D., Barak, D., Bohn, J., Bradford, C., Cauz, D., Chang, S. P., Chapelain, A., Chappa, S., Charity, S., Chislett, R., Esquivel, J., Ferrari, C., Fioretti, A., Gabbanini, C., Galati, M. D., Gibbons, L., Holzbauer, J. L., Incagli, M., Jensen, C., Kaspar, J., Kawall, D., Keshavarzi, A., Kessler, D. S., Kiburg, B., Krafczyk, G., Madrak, R., Mikhailichenko, A. A., Nguyen, H., Overhage, K., Park, S., Pfeffer, H., Polly, C. C., Popovic, M., Rivera, R., Roberts, B. L., Rubin, D., Semertzidis, Y. K., Stapleton, J., Stoughton, C., Voirin, E., and Wolff, D.

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

We describe the installation, commissioning, and characterization of the new injection kicker system in the Muon $g-2$ Experiment (E989) at Fermilab, which makes a precision measurement of the muon magnetic anomaly. Three Blumlein pulsers drive each of the 1.27-m-long non-ferric kicker magnets, which reside in a storage ring vacuum (SRV) that is subjected to a 1.45 T magnetic field. The new system has been redesigned relative to Muon $g-2$'s predecessor experiment, and we present those details in this manuscript.

Published
2021
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40. Measurement of the anomalous precession frequency of the muon in the Fermilab Muon g-2 experiment

Author

Albahri, T., Anastasi, A., Anisenkov, A., Badgley, K., Baeßler, S., Bailey, I., Baranov, V. A., Barlas-Yucel, E., Barrett, T., Basti, A., Bedeschi, F., Berz, M., Bhattacharya, M., Binney, H. P., Bloom, P., Bono, J., Bottalico, E., Bowcock, T., Cantatore, G., Carey, R. M., Casey, B. C. K., Cauz, D., Chakraborty, R., Chang, S. P., Chapelain, A., Charity, S., Chislett, R., Choi, J., Chu, Z., Chupp, T. E., Corrodi, S., Cotrozzi, L., Crnkovic, J. D., Dabagov, S., Debevec, P. T., Di Falco, S., Di Meo, P., Di Sciascio, G., Di Stefano, R., Driutti, A., Duginov, V. N., Eads, M., Esquivel, J., Farooq, M., Fatemi, R., Ferrari, C., Fertl, M., Fienberg, A. T., Fioretti, A., Flay, D., Frlež, E., Froemming, N. S., Fry, J., Gabbanini, C., Galati, M. D., Ganguly, S., Garcia, A., George, J., Gibbons, L. K., Gioiosa, A., Giovanetti, K. L., Girotti, P., Gohn, W., Gorringe, T., Grange, J., Grant, S., Gray, F., Haciomeroglu, S., Halewood-Leagas, T., Hampai, D., Han, F., Hempstead, J., Herrod, A. T., Hertzog, D. W., Hesketh, G., Hibbert, A., Hodge, Z., Holzbauer, J. L., Hong, K. W., Hong, R., Iacovacci, M., Incagli, M., Kammel, P., Kargiantoulakis, M., Karuza, M., Kaspar, J., Kawall, D., Kelton, L., Keshavarzi, A., Kessler, D., Khaw, K. S., Khechadoorian, Z., Khomutov, N. V., Kiburg, B., Kiburg, M., Kim, O., Kim, Y. I., King, B., Kinnaird, N., Kraegeloh, E., Kuchibhotla, A., Kuchinskiy, N. A., Labe, K. R., LaBounty, J., Lancaster, M., Lee, M. J., Lee, S., Leo, S., Li, B., Li, D., Li, L., Logashenko, I., Campos, A. Lorente, Lucà, A., Lukicov, G., Lusiani, A., Lyon, A. L., MacCoy, B., Madrak, R., Makino, K., Marignetti, F., Mastroianni, S., Miller, J. P., Miozzi, S., Morse, W. M., Mott, J., Nath, A., Nguyen, H., Osofsky, R., Park, S., Pauletta, G., Piacentino, G. M., Pilato, R. N., Pitts, K. T., Plaster, B., Počanić, D., Pohlman, N., Polly, C. C., Price, J., Quinn, B., Raha, N., Ramachandran, S., Ramberg, E., Ritchie, J. L., Roberts, B. L., Rubin, D. L., Santi, L., Schlesier, C., Schreckenberger, A., Semertzidis, Y. K., Shemyakin, D., Smith, M. W., Sorbara, M., Stöckinger, D., Stapleton, J., Stoughton, C., Stratakis, D., Stuttard, T., Swanson, H. E., Sweetmore, G., Sweigart, D. A., Syphers, M. J., Tarazona, D. A., Teubner, T., Tewsley-Booth, A. E., Thomson, K., Tishchenko, V., Tran, N. H., Turner, W., Valetov, E., Vasilkova, D., Venanzoni, G., Walton, T., Weisskopf, A., Welty-Rieger, L., Winter, P., Wolski, A., and Wu, W.

Subjects
High Energy Physics - Experiment, Nuclear Experiment
Abstract

The Muon g-2 Experiment at Fermi National Accelerator Laboratory (FNAL) has measured the muon anomalous precession frequency $\omega_a$ to an uncertainty of 434 parts per billion (ppb), statistical, and 56 ppb, systematic, with data collected in four storage ring configurations during its first physics run in 2018. When combined with a precision measurement of the magnetic field of the experiment's muon storage ring, the precession frequency measurement determines a muon magnetic anomaly of $a_{\mu}({\rm FNAL}) = 116\,592\,040(54) \times 10^{-11}$ (0.46 ppm). This article describes the multiple techniques employed in the reconstruction, analysis and fitting of the data to measure the precession frequency. It also presents the averaging of the results from the eleven separate determinations of \omega_a, and the systematic uncertainties on the result., Comment: 29 pages, 19 figures. Published in Physical Review D

Published
2021
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41. Magnetic Field Measurement and Analysis for the Muon g-2 Experiment at Fermilab

Author

Albahri, T., Anastasi, A., Badgley, K., Baeßler, S., Bailey, I., Baranov, V. A., Barlas-Yucel, E., Barrett, T., Bedeschi, F., Berz, M., Bhattacharya, M., Binney, H. P., Bloom, P., Bono, J., Bottalico, E., Bowcock, T., Cantatore, G., Carey, R. M., Casey, B. C. K., Cauz, D., Chakraborty, R., Chang, S. P., Chapelain, A., Charity, S., Chislett, R., Choi, J., Chu, Z., Chupp, T. E., Conway, A., Corrodi, S., Cotrozzi, L., Crnkovic, J. D., Dabagov, S., Debevec, P. T., Di Falco, S., Di Meo, P., Di Sciascio, G., Di Stefano, R., Driutti, A., Duginov, V. N., Eads, M., Esquivel, J., Farooq, M., Fatemi, R., Ferrari, C., Fertl, M., Fienberg, A. T., Fioretti, A., Flay, D., Froemming, N. S., Gabbanini, C., Galati, M. D., Ganguly, S., Garcia, A., George, J., Gibbons, L. K., Gioiosa, A., Giovanetti, K. L., Girotti, P., Gohn, W., Gorringe, T., Grange, J., Grant, S., Gray, F., Haciomeroglu, S., Halewood-Leagas, T., Hampai, D., Han, F., Hempstead, J., Herrod, A. T., Hertzog, D. W., Hesketh, G., Hibbert, A., Hodge, Z., Holzbauer, J. L., Hong, K. W., Hong, R., Iacovacci, M., Incagli, M., Kammel, P., Kargiantoulakis, M., Karuza, M., Kaspar, J., Kawall, D., Kelton, L., Keshavarzi, A., Kessler, D., Khaw, K. S., Khechadoorian, Z., Khomutov, N. V., Kiburg, B., Kiburg, M., Kim, O., Kim, Y. I., King, B., Kinnaird, N., Kraegeloh, E., Kuchinskiy, N. A., Labe, K. R., LaBounty, J., Lancaster, M., Lee, M. J., Lee, S., Li, B., Li, D., Li, L., Logashenko, I., Campos, A. Lorente, Lucà, A., Lukicov, G., Lusiani, A., Lyon, A. L., MacCoy, B., Madrak, R., Makino, K., Marignetti, F., Mastroianni, S., Miller, J. P., Miozzi, S., Morse, W. M., Mott, J., Nath, A., Nguyen, H., Osofsky, R., Park, S., Pauletta, G., Piacentino, G. M., Pilato, R. N., Pitts, K. T., Plaster, B., Počanić, D., Pohlman, N., Polly, C. C., Price, J., Quinn, B., Raha, N., Ramachandran, S., Ramberg, E., Ritchie, J. L., Roberts, B. L., Rubin, D. L., Santi, L., Schlesier, C., Schreckenberger, A., Semertzidis, Y. K., Shemyakin, D., Smith, M. W., Sorbara, M., Stöckinger, D., Stapleton, J., Stoughton, C., Stratakis, D., Stuttard, T., Swanson, H. E., Sweetmore, G., Sweigart, D. A., Syphers, M. J., Tarazona, D. A., Teubner, T., Tewsley-Booth, A. E., Thomson, K., Tishchenko, V., Tran, N. H., Turner, W., Valetov, E., Vasilkova, D., Venanzoni, G., Walton, T., Weisskopf, A., Welty-Rieger, L., Winter, P., Wolski, A., and Wu, W.

Subjects
High Energy Physics - Experiment, Nuclear Experiment
Abstract

The Fermi National Accelerator Laboratory has measured the anomalous precession frequency $a^{}_\mu = (g^{}_\mu-2)/2$ of the muon to a combined precision of 0.46 parts per million with data collected during its first physics run in 2018. This paper documents the measurement of the magnetic field in the muon storage ring. The magnetic field is monitored by nuclear magnetic resonance systems and calibrated in terms of the equivalent proton spin precession frequency in a spherical water sample at 34.7$^\circ$C. The measured field is weighted by the muon distribution resulting in $\tilde{\omega}'^{}_p$, the denominator in the ratio $\omega^{}_a$/$\tilde{\omega}'^{}_p$ that together with known fundamental constants yields $a^{}_\mu$. The reported uncertainty on $\tilde{\omega}'^{}_p$ for the Run-1 data set is 114 ppb consisting of uncertainty contributions from frequency extraction, calibration, mapping, tracking, and averaging of 56 ppb, and contributions from fast transient fields of 99 ppb., Comment: Added one citation and corrected missing normalization in Eqs (35) and (36)

Published
2021
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42. Measurement of the Positive Muon Anomalous Magnetic Moment to 0.46 ppm

Author

Abi, B., Albahri, T., Al-Kilani, S., Allspach, D., Alonzi, L. P., Anastasi, A., Anisenkov, A., Azfar, F., Badgley, K., Baeßler, S., Bailey, I., Baranov, V. A., Barlas-Yucel, E., Barrett, T., Barzi, E., Basti, A., Bedeschi, F., Behnke, A., Berz, M., Bhattacharya, M., Binney, H. P., Bjorkquist, R., Bloom, P., Bono, J., Bottalico, E., Bowcock, T., Boyden, D., Cantatore, G., Carey, R. M., Carroll, J., Casey, B. C. K., Cauz, D., Ceravolo, S., Chakraborty, R., Chang, S. P., Chapelain, A., Chappa, S., Charity, S., Chislett, R., Choi, J., Chu, Z., Chupp, T. E., Convery, M. E., Conway, A., Corradi, G., Corrodi, S., Cotrozzi, L., Crnkovic, J. D., Dabagov, S., De Lurgio, P. M., Debevec, P. T., Di Falco, S., Di Meo, P., Di Sciascio, G., Di Stefano, R., Drendel, B., Driutti, A., Duginov, V. N., Eads, M., Eggert, N., Epps, A., Esquivel, J., Farooq, M., Fatemi, R., Ferrari, C., Fertl, M., Fiedler, A., Fienberg, A. T., Fioretti, A., Flay, D., Foster, S. B., Friedsam, H., Frlež, E., Froemming, N. S., Fry, J., Fu, C., Gabbanini, C., Galati, M. D., Ganguly, S., Garcia, A., Gastler, D. E., George, J., Gibbons, L. K., Gioiosa, A., Giovanetti, K. L., Girotti, P., Gohn, W., Gorringe, T., Grange, J., Grant, S., Gray, F., Haciomeroglu, S., Hahn, D., Halewood-Leagas, T., Hampai, D., Han, F., Hazen, E., Hempstead, J., Henry, S., Herrod, A. T., Hertzog, D. W., Hesketh, G., Hibbert, A., Hodge, Z., Holzbauer, J. L., Hong, K. W., Hong, R., Iacovacci, M., Incagli, M., Johnstone, C., Johnstone, J. A., Kammel, P., Kargiantoulakis, M., Karuza, M., Kaspar, J., Kawall, D., Kelton, L., Keshavarzi, A., Kessler, D., Khaw, K. S., Khechadoorian, Z., Khomutov, N. V., Kiburg, B., Kiburg, M., Kim, O., Kim, S. C., Kim, Y. I., King, B., Kinnaird, N., Korostelev, M., Kourbanis, I., Kraegeloh, E., Krylov, V. A., Kuchibhotla, A., Kuchinskiy, N. A., Labe, K. R., LaBounty, J., Lancaster, M., Lee, M. J., Lee, S., Leo, S., Li, B., Li, D., Li, L., Logashenko, I., Campos, A. Lorente, Lucà, A., Lukicov, G., Luo, G., Lusiani, A., Lyon, A. L., MacCoy, B., Madrak, R., Makino, K., Marignetti, F., Mastroianni, S., Maxfield, S., McEvoy, M., Merritt, W., Mikhailichenko, A. A., Miller, J. P., Miozzi, S., Morgan, J. P., Morse, W. M., Mott, J., Motuk, E., Nath, A., Newton, D., Nguyen, H., Oberling, M., Osofsky, R., Ostiguy, J. -F., Park, S., Pauletta, G., Piacentino, G. M., Pilato, R. N., Pitts, K. T., Plaster, B., Počanić, D., Pohlman, N., Polly, C. C., Popovic, M., Price, J., Quinn, B., Raha, N., Ramachandran, S., Ramberg, E., Rider, N. T., Ritchie, J. L., Roberts, B. L., Rubin, D. L., Santi, L., Sathyan, D., Schellman, H., Schlesier, C., Schreckenberger, A., Semertzidis, Y. K., Shatunov, Y. M., Shemyakin, D., Shenk, M., Sim, D., Smith, M. W., Smith, A., Soha, A. K., Sorbara, M., Stöckinger, D., Stapleton, J., Still, D., Stoughton, C., Stratakis, D., Strohman, C., Stuttard, T., Swanson, H. E., Sweetmore, G., Sweigart, D. A., Syphers, M. J., Tarazona, D. A., Teubner, T., Tewsley-Booth, A. E., Thomson, K., Tishchenko, V., Tran, N. H., Turner, W., Valetov, E., Vasilkova, D., Venanzoni, G., Volnykh, V. P., Walton, T., Warren, M., Weisskopf, A., Welty-Rieger, L., Whitley, M., Winter, P., Wolski, A., Wormald, M., Wu, W., and Yoshikawa, C.

Subjects
High Energy Physics - Experiment, Nuclear Experiment
Abstract

We present the first results of the Fermilab Muon g-2 Experiment for the positive muon magnetic anomaly $a_\mu \equiv (g_\mu-2)/2$. The anomaly is determined from the precision measurements of two angular frequencies. Intensity variation of high-energy positrons from muon decays directly encodes the difference frequency $\omega_a$ between the spin-precession and cyclotron frequencies for polarized muons in a magnetic storage ring. The storage ring magnetic field is measured using nuclear magnetic resonance probes calibrated in terms of the equivalent proton spin precession frequency ${\tilde{\omega}'^{}_p}$ in a spherical water sample at 34.7$^{\circ}$C. The ratio $\omega_a / {\tilde{\omega}'^{}_p}$, together with known fundamental constants, determines $a_\mu({\rm FNAL}) = 116\,592\,040(54)\times 10^{-11}$ (0.46\,ppm). The result is 3.3 standard deviations greater than the standard model prediction and is in excellent agreement with the previous Brookhaven National Laboratory (BNL) E821 measurement. After combination with previous measurements of both $\mu^+$ and $\mu^-$, the new experimental average of $a_\mu({\rm Exp}) = 116\,592\,061(41)\times 10^{-11}$ (0.35\,ppm) increases the tension between experiment and theory to 4.2 standard deviations, Comment: 10 pages; 4 figures

Published
2021
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43. Beam dynamics corrections to the Run-1 measurement of the muon anomalous magnetic moment at Fermilab

Author

Albahri, T., Anastasi, A., Badgley, K., Baeßler, S., Bailey, I., Baranov, V. A., Barlas-Yucel, E., Barrett, T., Bedeschi, F., Berz, M., Bhattacharya, M., Binney, H. P., Bloom, P., Bono, J., Bottalico, E., Bowcock, T., Cantatore, G., Carey, R. M., Casey, B. C. K., Cauz, D., Chakraborty, R., Chang, S. P., Chapelain, A., Charity, S., Chislett, R., Choi, J., Chu, Z., Chupp, T. E., Corrodi, S., Cotrozzi, L., Crnkovic, J. D., Dabagov, S., Debevec, P. T., Di Falco, S., Di Meo, P., Di Sciascio, G., Di Stefano, R., Driutti, A., Duginov, V. N., Eads, M., Esquivel, J., Farooq, M., Fatemi, R., Ferrari, C., Fertl, M., Fiedler, A., Fienberg, A. T., Fioretti, A., Flay, D., Frlež, E., Froemming, N. S., Fry, J., Gabbanini, C., Galati, M. D., Ganguly, S., Garcia, A., George, J., Gibbons, L. K., Gioiosa, A., Giovanetti, K. L., Girotti, P., Gohn, W., Gorringe, T., Grange, J., Grant, S., Gray, F., Haciomeroglu, S., Halewood-Leagas, T., Hampai, D., Han, F., Hempstead, J., Herrod, A. T., Hertzog, D. W., Hesketh, G., Hibbert, A., Hodge, Z., Holzbauer, J. L., Hong, K. W., Hong, R., Iacovacci, M., Incagli, M., Kammel, P., Kargiantoulakis, M., Karuza, M., Kaspar, J., Kawall, D., Kelton, L., Keshavarzi, A., Kessler, D., Khaw, K. S., Khechadoorian, Z., Khomutov, N. V., Kiburg, B., Kiburg, M., Kim, O., Kim, Y. I., King, B., Kinnaird, N., Korostelev, M., Kraegeloh, E., Kuchinskiy, N. A., Labe, K. R., LaBounty, J., Lancaster, M., Lee, M. J., Lee, S., Li, B., Li, D., Li, L., Logashenko, I., Campos, A. Lorente, Lucà, A., Lukicov, G., Lusiani, A., Lyon, A. L., MacCoy, B., Madrak, R., Makino, K., Marignetti, F., Mastroianni, S., Miller, J. P., Miozzi, S., Morse, W. M., Mott, J., Nath, A., Newton, D., Nguyen, H., Osofsky, R., Park, S., Pauletta, G., Piacentino, G. M., Pilato, R. N., Pitts, K. T., Plaster, B., Počanić, D., Pohlman, N., Polly, C. C., Price, J., Quinn, B., Raha, N., Ramachandran, S., Ramberg, E., Ritchie, J. L., Roberts, B. L., Rubin, D. L., Santi, L., Sathyan, D., Schlesier, C., Schreckenberger, A., Semertzidis, Y. K., Smith, M. W., Sorbara, M., Stöckinger, D., Stapleton, J., Stoughton, C., Stratakis, D., Stuttard, T., Swanson, H. E., Sweetmore, G., Sweigart, D. A., Syphers, M. J., Tarazona, D. A., Teubner, T., Tewsley-Booth, A. E., Thomson, K., Tishchenko, V., Tran, N. H., Turner, W., Valetov, E., Vasilkova, D., Venanzoni, G., Walton, T., Weisskopf, A., Welty-Rieger, L., Winter, P., Wolski, A., and Wu, W.

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

This paper presents the beam dynamics systematic corrections and their uncertainties for the Run-1 data set of the Fermilab Muon g-2 Experiment. Two corrections to the measured muon precession frequency $\omega_a^m$ are associated with well-known effects owing to the use of electrostatic quadrupole (ESQ) vertical focusing in the storage ring. An average vertically oriented motional magnetic field is felt by relativistic muons passing transversely through the radial electric field components created by the ESQ system. The correction depends on the stored momentum distribution and the tunes of the ring, which has relatively weak vertical focusing. Vertical betatron motions imply that the muons do not orbit the ring in a plane exactly orthogonal to the vertical magnetic field direction. A correction is necessary to account for an average pitch angle associated with their trajectories. A third small correction is necessary because muons that escape the ring during the storage time are slightly biased in initial spin phase compared to the parent distribution. Finally, because two high-voltage resistors in the ESQ network had longer than designed RC time constants, the vertical and horizontal centroids and envelopes of the stored muon beam drifted slightly, but coherently, during each storage ring fill. This led to the discovery of an important phase-acceptance relationship that requires a correction. The sum of the corrections to $\omega_a^m$ is 0.50 $\pm$ 0.09 ppm; the uncertainty is small compared to the 0.43 ppm statistical precision of $\omega_a^m$., Comment: 35 pages, 29 figures. Accepted by Phys. Rev. Accel. Beams

Published
2021
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45. Identification of Damages in Two-Dimensional Beam, Based on the Solution of Inverse Problem for One-Dimensional Equation

Author

Yakovlev, V. E., Cherpakov, A. V., Chang, S.-H., Wang, J.-P., Ghosh, Arindam, Series Editor, Chua, Daniel, Series Editor, de Souza, Flavio Leandro, Series Editor, Aktas, Oral Cenk, Series Editor, Han, Yafang, Series Editor, Gong, Jianghong, Series Editor, Jawaid, Mohammad, Series Editor, Parinov, Ivan A., editor, Chang, Shun-Hsyung, editor, and Soloviev, Arkady N., editor

Published
2023
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46. Predicting cancer drug TARGETS - TreAtment Response Generalized Elastic-neT Signatures

Author

Rydzewski, Nicholas R, Peterson, Erik, Lang, Joshua M, Yu, Menggang, Laura Chang, S, Sjöström, Martin, Bakhtiar, Hamza, Song, Gefei, Helzer, Kyle T, Bootsma, Matthew L, Chen, William S, Shrestha, Raunak M, Zhang, Meng, Quigley, David A, Aggarwal, Rahul, Small, Eric J, Wahl, Daniel R, Feng, Felix Y, and Zhao, Shuang G

Subjects
Biotechnology, Genetic Testing, Genetics, Human Genome, Prostate Cancer, Urologic Diseases, Cancer, 5.1 Pharmaceuticals, Development of treatments and therapeutic interventions, 4.1 Discovery and preclinical testing of markers and technologies, Detection, screening and diagnosis, Good Health and Well Being
Abstract

We are now in an era of molecular medicine, where specific DNA alterations can be used to identify patients who will respond to specific drugs. However, there are only a handful of clinically used predictive biomarkers in oncology. Herein, we describe an approach utilizing in vitro DNA and RNA sequencing and drug response data to create TreAtment Response Generalized Elastic-neT Signatures (TARGETS). We trained TARGETS drug response models using Elastic-Net regression in the publicly available Genomics of Drug Sensitivity in Cancer (GDSC) database. Models were then validated on additional in-vitro data from the Cancer Cell Line Encyclopedia (CCLE), and on clinical samples from The Cancer Genome Atlas (TCGA) and Stand Up to Cancer/Prostate Cancer Foundation West Coast Prostate Cancer Dream Team (WCDT). First, we demonstrated that all TARGETS models successfully predicted treatment response in the separate in-vitro CCLE treatment response dataset. Next, we evaluated all FDA-approved biomarker-based cancer drug indications in TCGA and demonstrated that TARGETS predictions were concordant with established clinical indications. Finally, we performed independent clinical validation in the WCDT and found that the TARGETS AR signaling inhibitors (ARSI) signature successfully predicted clinical treatment response in metastatic castration-resistant prostate cancer with a statistically significant interaction between the TARGETS score and PSA response (p = 0.0252). TARGETS represents a pan-cancer, platform-independent approach to predict response to oncologic therapies and could be used as a tool to better select patients for existing therapies as well as identify new indications for testing in prospective clinical trials.

Published
2021

50. Can vibrotactile stimulation and tDCS help inefficient BCI users?

Author

Kyungho Won, Heegyu Kim, Daeun Gwon, Minkyu Ahn, Chang S. Nam, and Sung Chan Jun

Subjects
BCI, BCI illiteracy, Performance variation, Vibrotactile stimulation, Brain stimulation, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract

Abstract Brain-computer interface (BCI) has helped people by allowing them to control a computer or machine through brain activity without actual body movement. Despite this advantage, BCI cannot be used widely because some people cannot achieve controllable performance. To solve this problem, researchers have proposed stimulation methods to modulate relevant brain activity to improve BCI performance. However, multiple studies have reported mixed results following stimulation, and the comparative study of different stimulation modalities has been overlooked. Accordingly, this study was designed to compare vibrotactile stimulation and transcranial direct current stimulation’s (tDCS) effects on brain activity modulation and motor imagery BCI performance among inefficient BCI users. We recruited 44 subjects and divided them into sham, vibrotactile stimulation, and tDCS groups, and low performers were selected from each stimulation group. We found that the latter’s BCI performance in the vibrotactile stimulation group increased significantly by 9.13% (p

Published
2023
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