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39,464 results on '"Giudice A"'

1. Fast entangling gates for Rydberg atoms via resonant dipole-dipole interaction

Author

Giudici, Giuliano, Veroni, Stefano, Giudice, Giacomo, Pichler, Hannes, and Zeiher, Johannes

Subjects
Quantum Physics
Abstract

The advent of digital neutral-atom quantum computers relies on the development of fast and robust protocols for high-fidelity quantum operations. In this work, we introduce a novel scheme for entangling gates using four atomic levels per atom: a ground state qubit and two Rydberg states. A laser field couples the qubit to one of the two Rydberg states, while a microwave field coupling the two Rydberg states enables a resonant dipole-dipole interaction between different atoms. We show that this interaction can mediate controlled-Z gates that are faster and less sensitive to Rydberg decay than state-of-the-art Rydberg gates based on van der Waals interactions. Moreover, we systematically stabilize our protocol against interatomic distance fluctuations and analyze its performance in realistic setups with rubidium or cesium atoms. Our results open up new avenues to the use of dipolar interactions for universal quantum computation with neutral atoms., Comment: 11 pages, 9 figures

Published
2024

2. Lessons Learned from Developing a Human-Centered Guide Dog Robot for Mobility Assistance

Author

Hwang, Hochul, Suzuki, Ken, Giudice, Nicholas A, Biswas, Joydeep, Lee, Sunghoon Ivan, and Kim, Donghyun

Subjects
Computer Science - Robotics, Computer Science - Human-Computer Interaction
Abstract

While guide dogs offer essential mobility assistance, their high cost, limited availability, and care requirements make them inaccessible to most blind or low vision (BLV) individuals. Recent advances in quadruped robots provide a scalable solution for mobility assistance, but many current designs fail to meet real-world needs due to a lack of understanding of handler and guide dog interactions. In this paper, we share lessons learned from developing a human-centered guide dog robot, addressing challenges such as optimal hardware design, robust navigation, and informative scene description for user adoption. By conducting semi-structured interviews and human experiments with BLV individuals, guide-dog handlers, and trainers, we identified key design principles to improve safety, trust, and usability in robotic mobility aids. Our findings lay the building blocks for future development of guide dog robots, ultimately enhancing independence and quality of life for BLV individuals.

Published
2024

3. Learning symmetry-protected topological order from trapped-ion experiments

Author

Sadoune, Nicolas, Pogorelov, Ivan, Edmunds, Claire L., Giudici, Giuliano, Giudice, Giacomo, Marciniak, Christian D., Ringbauer, Martin, Monz, Thomas, and Pollet, Lode

Subjects
Quantum Physics, Condensed Matter - Strongly Correlated Electrons
Abstract

Classical machine learning has proven remarkably useful in post-processing quantum data, yet typical learning algorithms often require prior training to be effective. In this work, we employ a tensorial kernel support vector machine (TK-SVM) to analyze experimental data produced by trapped-ion quantum computers. This unsupervised method benefits from directly interpretable training parameters, allowing it to identify the non-trivial string-order characterizing symmetry-protected topological (SPT) phases. We apply our technique to two examples: a spin-1/2 model and a spin-1 model, featuring the cluster state and the AKLT state as paradigmatic instances of SPT order, respectively. Using matrix product states, we generate a family of quantum circuits that host a trivial phase and an SPT phase, with a sharp phase transition between them. For the spin-1 case, we implement these circuits on two distinct trapped-ion machines based on qubits and qutrits. Our results demonstrate that the TK-SVM method successfully distinguishes the two phases across all noisy experimental datasets, highlighting its robustness and effectiveness in quantum data interpretation., Comment: 16 pages, 11 figures

Published
2024

4. $p$-symplectic and $p$-pluriclosed structures on solvmanifolds

Author

Giudice, Ettore Lo and Tomassini, Adriano

Subjects
Mathematics - Differential Geometry, 32J27, 53C15
Abstract

Let $(M,J)$ be a $n$-dimensional complex manifold: a $p$-K\"ahler structure (resp. $p$-symplectic structure) on $M$ is a real, closed $(p,p)$-transverse form $\Omega$ (resp. real, closed $2p$-form whose $(p,p)$-component is transverse). We give obstructions to the existence of such structures on compact complex manifolds. We provide several families of compact complex manifolds which admit both $(n-1)$-symplectic structures and special Hermitian metrics.

Published
2024

5. Remembering Steven Weinberg

Author

Giudice, Gian Francesco

Subjects
Physics - Physics and Society, Nuclear Theory
Abstract

Contribution to the volume "In Memory of Steven Weinberg" to appear in Nuclear Physics B., Comment: Contribution to the volume "In Memory of Steven Weinberg" to appear in Nuclear Physics B

Published
2024

6. Distillation and Stripping purification plants for JUNO liquid scintillator

Author

Landini, C., Beretta, M., Lombardi, P., Brigatti, A., Montuschi, M., Parmeggiano, S., Ranucci, G., Antonelli, V., Basilico, D., Caccianiga, B., Giammarchi, M. G., Miramonti, L., Percalli, E., Re, A. C., Saggese, P., Torri, M. D. C., Aiello, S., Andronico, G., Barresi, A., Bergnoli, A., Borghesi, M., Brugnera, R., Bruno, R., Budano, A., Cammi, A., Cerrone, V., Caruso, R., Chiesa, D., Clementi, C., Dusini, S., Fabbri, A., Felici, G., Garfagnini, A., Giudice, N., Gavrikov, A., Grassi, M., Guizzetti, R. M., Guardone, N., Jelmini, B., Lastrucci, L., Lippi, I., Loi, L., Lombardo, C., Mantovani, F., Mari, S. M., Martini, A., Nastasi, M., Orestano, D., Ortica, F., Paoloni, A., Petrucci, F., Previtali, E., Redchuck, M., Ricci, B., Romani, A., Sava, G., Serafini, A., Sirignano, C., Sisti, M., Stanco, L., Farilla, E. Stanescu, Strati, V., Triossi, A., Tuvè, C., Venettacci, C., Verde, G., and Votano, L.

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

The optical and radiochemical purification of the scintillating liquid, which will fill the central detector of the JUNO experiment, plays a crucial role in achieving its scientific goals. Given its gigantic mass and dimensions and an unprecedented target value of about 3% @ 1 MeV in energy resolution, JUNO has set severe requirements on the parameters of its scintillator, such as attenuation length (Lat>20 m at 430 nm), transparency, light yield, and content of radioactive contaminants (238U,232Th<10-15 g/g). To accomplish these needs, the scintillator will be processed using several purification methods, including distillation in partial vacuum and gas stripping, which are performed in two large scale plants installed at the JUNO site. In this paper, layout, operating principles, and technical aspects which have driven the design and construction of the distil- lation and gas stripping plants are reviewed. The distillation is effective in enhancing the optical properties and removing heavy radio-impurities (238U,232Th, 40K), while the stripping process exploits pure water steam and high-purity nitrogen to extract gaseous contaminants (222Rn, 39Ar, 85Kr, O2) from the scintillator. The plant operating parameters have been tuned during the recent com- missioning phase at the JUNO site and several QA/QC measurements and tests have been performed to evaluate the performances of the plants. Some preliminary results on the efficiency of these purification processes will be shown., Comment: 11 pages, 7 figures

Published
2024

7. Refractive index in the JUNO liquid scintillator

Author

Zhang, H. S., Beretta, M., Cialdi, S., Yang, C. X., Huang, J. H., Ferraro, F., Cao, G. F., Reina, G., Deng, Z. Y., Suerra, E., Altilia, S., Antonelli, V., Basilico, D., Brigatti, A., Caccianiga, B., Giammarchi, M. G., Landini, C., Lombardi, P., Miramonti, L., Percalli, E., Ranucci, G., Re, A. C., Saggese, P., Torri, M. D. C., Aiello, S., Andronico, G., Barresi, A., Bergnoli, A., Borghesi, M., Brugnera, R., Bruno, R., Budano, A., Cammi, A., Cerrone, V., Caruso, R., Chiesa, D., Clementi, C., Dusini, S., Fabbri, A., Felici, G., Garfagnini, A., Giudice, N., Gavrikov, A., Grassi, M., Guizzetti, R. M., Guardone, N., Jelmini, B., Lastrucci, L., Lippi, I., Loi, L., Lombardo, C., Mantovani, F., Mari, S. M., Martini, A., Montuschi, M., Nastasi, M., Orestano, D., Ortica, F., Paoloni, A., Petrucci, F., Previtali, E., Redchuck, M., Ricci, B., Romani, A., Sava, G., Serafini, A., Sirignano, C., Sisti, M., Stanco, L., Farilla, E. Stanescu, Strati, V., Triossi, A., Tuvé, C., Venettacci, C., Verde, G., and Votano, L.

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

In the field of rare event physics, it is common to have huge masses of organic liquid scintillator as detection medium. In particular, they are widely used to study neutrino properties or astrophysical neutrinos. Thanks to its safety properties (such as low toxicity and high flash point) and easy scalability, linear alkyl benzene is the most common solvent used to produce liquid scintillators for large mass experiments. The knowledge of the refractive index is a pivotal point to understand the detector response, as this quantity (and its wavelength dependence) affects the Cherenkov radiation and photon propagation in the medium. In this paper, we report the measurement of the refractive index of the JUNO liquid scintillator between 260-1064 nm performed with two different methods (an ellipsometer and a refractometer), with a sub percent level precision. In addition, we used an interferometer to measure the group velocity in the JUNO liquid scintillator and verify the expected value derived from the refractive index measurements., Comment: 6 pages, 9 figures

Published
2024

8. JUNO Sensitivity to Invisible Decay Modes of Neutrons

Author

JUNO Collaboration, Abusleme, Angel, Adam, Thomas, Adamowicz, Kai, Ahmad, Shakeel, Ahmed, Rizwan, Aiello, Sebastiano, An, Fengpeng, An, Qi, Andronico, Giuseppe, Anfimov, Nikolay, Antonelli, Vito, Antoshkina, Tatiana, de André, João Pedro Athayde Marcondes, Auguste, Didier, Bai, Weidong, Balashov, Nikita, Baldini, Wander, Barresi, Andrea, Basilico, Davide, Baussan, Eric, Bellato, Marco, Beretta, Marco, Bergnoli, Antonio, Bick, Daniel, Bieger, Lukas, Biktemerova, Svetlana, Birkenfeld, Thilo, Blake, Iwan, Blyth, Simon, Bolshakova, Anastasia, Bongrand, Mathieu, Breton, Dominique, Brigatti, Augusto, Brugnera, Riccardo, Bruno, Riccardo, Budano, Antonio, Busto, Jose, Cabrera, Anatael, Caccianiga, Barbara, Cai, Hao, Cai, Xiao, Cai, Yanke, Cai, Zhiyan, Callier, Stéphane, Calvez, Steven, Cammi, Antonio, Campeny, Agustin, Cao, Chuanya, Cao, Guofu, Cao, Jun, Caruso, Rossella, Cerna, Cédric, Cerrone, Vanessa, Chang, Jinfan, Chang, Yun, Chatrabhuti, Auttakit, Chen, Chao, Chen, Guoming, Chen, Pingping, Chen, Shaomin, Chen, Xin, Chen, Yiming, Chen, Yixue, Chen, Yu, Chen, Zelin, Chen, Zhangming, Chen, Zhiyuan, Chen, Zikang, Cheng, Jie, Cheng, Yaping, Cheng, Yu Chin, Chepurnov, Alexander, Chetverikov, Alexey, Chiesa, Davide, Chimenti, Pietro, Chin, Yen-Ting, Chou, Po-Lin, Chu, Ziliang, Chukanov, Artem, Claverie, Gérard, Clementi, Catia, Clerbaux, Barbara, Molla, Marta Colomer, Di Lorenzo, Selma Conforti, Coppi, Alberto, Corti, Daniele, Csakli, Simon, Cui, Chenyang, Corso, Flavio Dal, Dalager, Olivia, Datta, Jaydeep, De La Taille, Christophe, Deng, Zhi, Deng, Ziyan, Ding, Xiaoyu, Ding, Xuefeng, Ding, Yayun, Dirgantara, Bayu, Dittrich, Carsten, Dmitrievsky, Sergey, Dohnal, Tadeas, Dolzhikov, Dmitry, Donchenko, Georgy, Dong, Jianmeng, Doroshkevich, Evgeny, Dou, Wei, Dracos, Marcos, Druillole, Frédéric, Du, Ran, Du, Shuxian, Duan, Yujie, Dugas, Katherine, Dusini, Stefano, Duyang, Hongyue, Eck, Jessica, Enqvist, Timo, Fabbri, Andrea, Fahrendholz, Ulrike, Fan, Lei, Fang, Jian, Fang, Wenxing, Fedoseev, Dmitry, Feng, Li-Cheng, Feng, Qichun, Ferraro, Federico, Fournier, Amélie, Fritsch, Fritsch, Gan, Haonan, Gao, Feng, Garfagnini, Alberto, Gavrikov, Arsenii, Giammarchi, Marco, Giudice, Nunzio, Gonchar, Maxim, Gong, Guanghua, Gong, Hui, Gornushkin, Yuri, Grassi, Marco, Gromov, Maxim, Gromov, Vasily, Gu, Minghao, Gu, Xiaofei, Gu, Yu, Guan, Mengyun, Guan, Yuduo, Guardone, Nunzio, Guizzetti, Rosa Maria, Guo, Cong, Guo, Wanlei, Hagner, Caren, Han, Hechong, Han, Ran, Han, Yang, He, Jinhong, He, Miao, He, Wei, He, Xinhai, Heinz, Tobias, Hellmuth, Patrick, Heng, Yuekun, Herrera, Rafael, Hor, YuenKeung, Hou, Shaojing, Hsiung, Yee, Hu, Bei-Zhen, Hu, Hang, Hu, Jun, Hu, Peng, Hu, Shouyang, Hu, Tao, Hu, Yuxiang, Hu, Zhuojun, Huang, Guihong, Huang, Hanxiong, Huang, Jinhao, Huang, Junting, Huang, Kaixuan, Huang, Shengheng, Huang, Wenhao, Huang, Xin, Huang, Xingtao, Huang, Yongbo, Hui, Jiaqi, Huo, Lei, Huo, Wenju, Huss, Cédric, Hussain, Safeer, Imbert, Leonard, Ioannisian, Ara, Isocrate, Roberto, Jafar, Arshak, Jelmini, Beatrice, Jeria, Ignacio, Ji, Xiaolu, Jia, Huihui, Jia, Junji, Jian, Siyu, Jiang, Cailian, Jiang, Di, Jiang, Guangzheng, Jiang, Wei, Jiang, Xiaoshan, Jiang, Xiaozhao, Jiang, Yixuan, Jing, Xiaoping, Jollet, Cécile, Kang, Li, Karaparabil, Rebin, Kazarian, Narine, Khan, Ali, Khatun, Amina, Khosonthongkee, Khanchai, Korablev, Denis, Kouzakov, Konstantin, Krasnoperov, Alexey, Kuleshov, Sergey, Kumaran, Sindhujha, Kutovskiy, Nikolay, Labit, Loïc, Lachenmaier, Tobias, Lai, Haojing, Landini, Cecilia, Leblanc, Sébastien, Lefevre, Frederic, Lei, Ruiting, Leitner, Rupert, Leung, Jason, Li, Demin, Li, Fei, Li, Fule, Li, Gaosong, Li, Hongjian, Li, Huang, Li, Jiajun, Li, Min, Li, Nan, Li, Qingjiang, Li, Ruhui, Li, Rui, Li, Shanfeng, Li, Shuo, Li, Tao, Li, Teng, Li, Weidong, Li, Weiguo, Li, Xiaomei, Li, Xiaonan, Li, Xinglong, Li, Yi, Li, Yichen, Li, Yufeng, Li, Zhaohan, Li, Zhibing, Li, Ziyuan, Li, Zonghai, Liang, An-An, Liang, Hao, Liao, Jiajun, Liao, Yilin, Liao, Yuzhong, Limphirat, Ayut, Lin, Guey-Lin, Lin, Shengxin, Lin, Tao, Ling, Jiajie, Ling, Xin, Lippi, Ivano, Liu, Caimei, Liu, Fang, Liu, Fengcheng, Liu, Haidong, Liu, Haotian, Liu, Hongbang, Liu, Hongjuan, Liu, Hongtao, Liu, Hongyang, Liu, Jianglai, Liu, Jiaxi, Liu, Jinchang, Liu, Min, Liu, Qian, Liu, Qin, Liu, Runxuan, Liu, Shenghui, Liu, Shubin, Liu, Shulin, Liu, Xiaowei, Liu, Xiwen, Liu, Xuewei, Liu, Yankai, Liu, Zhen, Loi, Lorenzo, Lokhov, Alexey, Lombardi, Paolo, Lombardo, Claudio, Loo, Kai, Lu, Chuan, Lu, Haoqi, Lu, Jingbin, Lu, Junguang, Lu, Meishu, Lu, Peizhi, Lu, Shuxiang, Lu, Xianguo, Lubsandorzhiev, Bayarto, Lubsandorzhiev, Sultim, Ludhova, Livia, Lukanov, Arslan, Luo, Fengjiao, Luo, Guang, Luo, Jianyi, Luo, Shu, Luo, Wuming, Luo, Xiaojie, Lyashuk, Vladimir, Ma, Bangzheng, Ma, Bing, Ma, Qiumei, Ma, Si, Ma, Xiaoyan, Ma, Xubo, Maalmi, Jihane, Mai, Jingyu, Malabarba, Marco, Malyshkin, Yury, Mandujano, Roberto Carlos, Mantovani, Fabio, Mao, Xin, Mao, Yajun, Mari, Stefano M., Marini, Filippo, Martini, Agnese, Mayer, Matthias, Mayilyan, Davit, Mednieks, Ints, Meng, Yue, Meraviglia, Anita, Meregaglia, Anselmo, Meroni, Emanuela, Miramonti, Lino, Mohan, Nikhil, Montuschi, Michele, Reveco, Cristobal Morales, Nastasi, Massimiliano, Naumov, Dmitry V., Naumova, Elena, Navas-Nicolas, Diana, Nemchenok, Igor, Thi, Minh Thuan Nguyen, Nikolaev, Alexey, Ning, Feipeng, Ning, Zhe, Nunokawa, Hiroshi, Oberauer, Lothar, Ochoa-Ricoux, Juan Pedro, Olshevskiy, Alexander, Orestano, Domizia, Ortica, Fausto, Othegraven, Rainer, Paoloni, Alessandro, Parker, George, Parmeggiano, Sergio, Patsias, Achilleas, Pei, Yatian, Pelicci, Luca, Peng, Anguo, Peng, Haiping, Peng, Yu, Peng, Zhaoyuan, Percalli, Elisa, Perrin, Willy, Perrot, Frédéric, Petitjean, Pierre-Alexandre, Petrucci, Fabrizio, Pilarczyk, Oliver, Rico, Luis Felipe Piñeres, Popov, Artyom, Poussot, Pascal, Previtali, Ezio, Qi, Fazhi, Qi, Ming, Qi, Xiaohui, Qian, Sen, Qian, Xiaohui, Qian, Zhen, Qiao, Hao, Qin, Zhonghua, Qiu, Shoukang, Qu, Manhao, Qu, Zhenning, Ranucci, Gioacchino, Re, Alessandra, Rebii, Abdel, Redchuk, Mariia, Reina, Gioele, Ren, Bin, Ren, Jie, Ren, Yuhan, Ricci, Barbara, Rientong, Komkrit, Rifai, Mariam, Roche, Mathieu, Rodphai, Narongkiat, Romani, Aldo, Roskovec, Bedřich, Ruan, Xichao, Rybnikov, Arseniy, Sadovsky, Andrey, Saggese, Paolo, Sandanayake, Deshan, Sangka, Anut, Sava, Giuseppe, Sawangwit, Utane, Schever, Michaela, Schwab, Cédric, Schweizer, Konstantin, Selyunin, Alexandr, Serafini, Andrea, Settimo, Mariangela, Shao, Junyu, Sharov, Vladislav, Shi, Hexi, Shi, Jingyan, Shi, Yanan, Shutov, Vitaly, Sidorenkov, Andrey, Šimkovic, Fedor, Singhal, Apeksha, Sirignano, Chiara, Siripak, Jaruchit, Sisti, Monica, Smirnov, Mikhail, Smirnov, Oleg, Sokolov, Sergey, Songwadhana, Julanan, Soonthornthum, Boonrucksar, Sotnikov, Albert, Sreethawong, Warintorn, Stahl, Achim, Stanco, Luca, Stankevich, Konstantin, Steiger, Hans, Steinmann, Jochen, Sterr, Tobias, Stock, Matthias Raphael, Strati, Virginia, Strizh, Michail, Studenikin, Alexander, Su, Aoqi, Su, Jun, Sun, Guangbao, Sun, Shifeng, Sun, Xilei, Sun, Yongjie, Sun, Yongzhao, Sun, Zhengyang, Suwonjandee, Narumon, Takenaka, Akira, Tan, Xiaohan, Tang, Jian, Tang, Jingzhe, Tang, Qiang, Tang, Quan, Tang, Xiao, Hariharan, Vidhya Thara, Tkachev, Igor, Tmej, Tomas, Torri, Marco Danilo Claudio, Triossi, Andrea, Trzaska, Wladyslaw, Tung, Yu-Chen, Tuve, Cristina, Ushakov, Nikita, Vedin, Vadim, Venettacci, Carlo, Verde, Giuseppe, Vialkov, Maxim, Viaud, Benoit, Vollbrecht, Cornelius Moritz, von Sturm, Katharina, Vorobel, Vit, Voronin, Dmitriy, Votano, Lucia, Walker, Pablo, Wang, Caishen, Wang, Chung-Hsiang, Wang, En, Wang, Guoli, Wang, Hanwen, Wang, Jian, Wang, Jun, Wang, Li, Wang, Lu, Wang, Meng, Wang, Mingyuan, Wang, Qianchuan, Wang, Ruiguang, Wang, Sibo, Wang, Siguang, Wang, Wei, Wang, Wenshuai, Wang, Xi, Wang, Xiangyue, Wang, Yangfu, Wang, Yaoguang, Wang, Yi, Wang, Yifang, Wang, Yuanqing, Wang, Yuyi, Wang, Zhe, Wang, Zheng, Wang, Zhimin, Watcharangkool, Apimook, Wei, Wei, Wei, Wenlu, Wei, Yadong, Wei, Yuehuan, Wen, Liangjian, Weng, Jun, Wiebusch, Christopher, Wirth, Rosmarie, Wu, Chengxin, Wu, Diru, Wu, Qun, Wu, Yinhui, Wu, Yiyang, Wu, Zhi, Wurm, Michael, Wurtz, Jacques, Wysotzki, Christian, Xi, Yufei, Xia, Dongmei, Xian, Shishen, Xiang, Ziqian, Xiao, Fei, Xiao, Xiang, Xie, Xiaochuan, Xie, Yijun, Xie, Yuguang, Xin, Zhao, Xing, Zhizhong, Xu, Benda, Xu, Cheng, Xu, Donglian, Xu, Fanrong, Xu, Hangkun, Xu, Jiayang, Xu, Jilei, Xu, Jing, Xu, Jinghuan, Xu, Meihang, Xu, Xunjie, Xu, Yin, Xu, Yu, Yan, Baojun, Yan, Qiyu, Yan, Taylor, Yan, Xiongbo, Yan, Yupeng, Yang, Changgen, Yang, Chengfeng, Yang, Fengfan, Yang, Jie, Yang, Lei, Yang, Pengfei, Yang, Xiaoyu, Yang, Yifan, Yang, Yixiang, Yang, Zekun, Yao, Haifeng, Ye, Jiaxuan, Ye, Mei, Ye, Ziping, Yermia, Frédéric, You, Zhengyun, Yu, Boxiang, Yu, Chiye, Yu, Chunxu, Yu, Guojun, Yu, Hongzhao, Yu, Miao, Yu, Xianghui, Yu, Zeyuan, Yu, Zezhong, Yuan, Cenxi, Yuan, Chengzhuo, Yuan, Ying, Yuan, Zhenxiong, Yue, Baobiao, Zafar, Noman, Zamogilnyi, Kirill, Zavadskyi, Vitalii, Zeng, Fanrui, Zeng, Shan, Zeng, Tingxuan, Zeng, Yuda, Zhan, Liang, Zhang, Aiqiang, Zhang, Bin, Zhang, Binting, Zhang, Feiyang, Zhang, Hangchang, Zhang, Haosen, Zhang, Honghao, Zhang, Jialiang, Zhang, Jiawen, Zhang, Jie, Zhang, Jingbo, Zhang, Jinnan, Zhang, Junwei, Zhang, Lei, Zhang, Peng, Zhang, Ping, Zhang, Qingmin, Zhang, Shiqi, Zhang, Shu, Zhang, Shuihan, Zhang, Siyuan, Zhang, Tao, Zhang, Xiaomei, Zhang, Xin, Zhang, Xuantong, Zhang, Yibing, Zhang, Yinhong, Zhang, Yiyu, Zhang, Yongpeng, Zhang, Yu, Zhang, Yuanyuan, Zhang, Yumei, Zhang, Zhenyu, Zhang, Zhijian, Zhao, Jie, Zhao, Rong, Zhao, Runze, Zhao, Shujun, Zhao, Tianhao, Zheng, Hua, Zheng, Yangheng, Zhou, Jing, Zhou, Li, Zhou, Nan, Zhou, Shun, Zhou, Tong, Zhou, Xiang, Zhou, Xing, Zhu, Jingsen, Zhu, Kangfu, Zhu, Kejun, Zhu, Zhihang, Zhuang, Bo, Zhuang, Honglin, Zong, Liang, and Zou, Jiaheng

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

We explore the bound neutrons decay into invisible particles (e.g., $n\rightarrow 3 \nu$ or $nn \rightarrow 2 \nu$) in the JUNO liquid scintillator detector. The invisible decay includes two decay modes: $ n \rightarrow { inv} $ and $ nn \rightarrow { inv} $. The invisible decays of $s$-shell neutrons in $^{12}{\rm C}$ will leave a highly excited residual nucleus. Subsequently, some de-excitation modes of the excited residual nuclei can produce a time- and space-correlated triple coincidence signal in the JUNO detector. Based on a full Monte Carlo simulation informed with the latest available data, we estimate all backgrounds, including inverse beta decay events of the reactor antineutrino $\bar{\nu}_e$, natural radioactivity, cosmogenic isotopes and neutral current interactions of atmospheric neutrinos. Pulse shape discrimination and multivariate analysis techniques are employed to further suppress backgrounds. With two years of exposure, JUNO is expected to give an order of magnitude improvement compared to the current best limits. After 10 years of data taking, the JUNO expected sensitivities at a 90% confidence level are $\tau/B( n \rightarrow { inv} ) > 5.0 \times 10^{31} \, {\rm yr}$ and $\tau/B( nn \rightarrow { inv} ) > 1.4 \times 10^{32} \, {\rm yr}$., Comment: 28 pages, 7 figures, 4 tables

Published
2024

9. Optimized measurement-free and fault-tolerant quantum error correction for neutral atoms

Author

Veroni, Stefano, Müller, Markus, and Giudice, Giacomo

Subjects
Quantum Physics
Abstract

A major challenge in performing quantum error correction (QEC) is implementing reliable measurements and conditional feed-forward operations. In quantum computing platforms supporting unconditional qubit resets, or a constant supply of fresh qubits, alternative schemes which do not require measurements are possible. In such schemes, the error correction is realized via crafted coherent quantum feedback. We propose implementations of small measurement-free QEC schemes, which are fault-tolerant to circuit-level noise. These implementations are guided by several heuristics to achieve fault-tolerance: redundant syndrome information is extracted, and additional single-shot flag qubits are used. By carefully designing the circuit, the additional overhead of these measurement-free schemes is moderate compared to their conventional measurement-and-feed-forward counterparts. We highlight how this alternative approach paves the way towards implementing resource-efficient measurement-free QEC on neutral-atom arrays., Comment: 16 pages, 10 figures

Published
2024

10. The Lunar Gravitational-wave Antenna: Mission Studies and Science Case

Author

Ajith, Parameswaran, Seoane, Pau Amaro, Sedda, Manuel Arca, Arcodia, Riccardo, Badaracco, Francesca, Banerjee, Biswajit, Belgacem, Enis, Benetti, Giovanni, Benetti, Stefano, Bobrick, Alexey, Bonforte, Alessandro, Bortolas, Elisa, Braito, Valentina, Branchesi, Marica, Burrows, Adam, Cappellaro, Enrico, Della Ceca, Roberto, Chakraborty, Chandrachur, Subrahmanya, Shreevathsa Chalathadka, Coughlin, Michael W., Covino, Stefano, Derdzinski, Andrea, Doshi, Aayushi, Falanga, Maurizio, Foffa, Stefano, Franchini, Alessia, Frigeri, Alessandro, Futaana, Yoshifumi, Gerberding, Oliver, Gill, Kiranjyot, Di Giovanni, Matteo, Giudice, Ines Francesca, Giustini, Margherita, Gläser, Philipp, Harms, Jan, van Heijningen, Joris, Iacovelli, Francesco, Kavanagh, Bradley J., Kawamura, Taichi, Kenath, Arun, Keppler, Elisabeth-Adelheid, Kobayashi, Chiaki, Komatsu, Goro, Korol, Valeriya, Krishnendu, N. V., Kumar, Prayush, Longo, Francesco, Maggiore, Michele, Mancarella, Michele, Maselli, Andrea, Mastrobuono-Battisti, Alessandra, Mazzarini, Francesco, Melandri, Andrea, Melini, Daniele, Menina, Sabrina, Miniutti, Giovanni, Mitra, Deeshani, Morán-Fraile, Javier, Mukherjee, Suvodip, Muttoni, Niccolò, Olivieri, Marco, Onori, Francesca, Papa, Maria Alessandra, Patat, Ferdinando, Perali, Andrea, Piran, Tsvi, Piranomonte, Silvia, Pol, Alberto Roper, Pookkillath, Masroor C., Prasad, R., Prasad, Vaishak, De Rosa, Alessandra, Chowdhury, Sourav Roy, Serafinelli, Roberto, Sesana, Alberto, Severgnini, Paola, Stallone, Angela, Tissino, Jacopo, Tkalčić, Hrvoje, Tomasella, Lina, Toscani, Martina, Vartanyan, David, Vignali, Cristian, Zaccarelli, Lucia, Zeoli, Morgane, and Zuccarello, Luciano

Subjects
General Relativity and Quantum Cosmology, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

The Lunar Gravitational-wave Antenna (LGWA) is a proposed array of next-generation inertial sensors to monitor the response of the Moon to gravitational waves (GWs). Given the size of the Moon and the expected noise produced by the lunar seismic background, the LGWA would be able to observe GWs from about 1 mHz to 1 Hz. This would make the LGWA the missing link between space-borne detectors like LISA with peak sensitivities around a few millihertz and proposed future terrestrial detectors like Einstein Telescope or Cosmic Explorer. In this article, we provide a first comprehensive analysis of the LGWA science case including its multi-messenger aspects and lunar science with LGWA data. We also describe the scientific analyses of the Moon required to plan the LGWA mission.

Published
2024

11. Nonthermal Heavy Dark Matter from a First-Order Phase Transition

Author

Giudice, Gian F., Lee, Hyun Min, Pomarol, Alex, and Shakya, Bibhushan

Subjects
High Energy Physics - Phenomenology, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

We study nonthermal production of heavy dark matter from the dynamics of the background scalar field during a first-order phase transition, predominantly from bubble collisions. In scenarios where bubble walls achieve runaway behavior and get boosted to very high energies, we find that it is possible to produce dark matter with mass several orders of magnitude above the symmetry breaking scale or the highest temperature ever reached by the thermal plasma. We also demonstrate that the existing formalism for calculating particle production from bubble dynamics in a first-order phase transition is not gauge invariant, and can lead to spurious results. While a rigorous and complete resolution of this problem is still lacking, we provide a practical prescription for the computation that avoids unphysical contributions and should provide reliable order-of-magnitude estimates of this effect. Furthermore, we point out the importance of three-body decays of the background field excitations into scalars and gauge bosons, which provide the dominant contributions at energy scales above the scale of symmetry breaking. Using our improved results, we find that scalar, fermion, and vector dark matter are all viable across a large range of mass scales, from O(10) TeV to a few orders of magnitude below the Planck scale, and the corresponding phase transitions can be probed with current and future gravitational wave experiments., Comment: 41 pages, 3 figures

Published
2024

12. Adjuvant Immune Checkpoint Inhibitors for Muscle-Invasive Urothelial Carcinoma: An Updated Systematic Review, Meta-analysis, and Network Meta-analysis

Author

Yanagisawa, Takafumi, Mori, Keiichiro, Matsukawa, Akihiro, Kawada, Tatsushi, Katayama, Satoshi, Laukhtina, Ekaterina, Rajwa, Pawel, Quhal, Fahad, Pradere, Benjamin, Fukuokaya, Wataru, Iwatani, Kosuke, Afferi, Luca, Marcq, Gautier, Mertens, Laura S., Gallioli, Andrea, Tully, Karl H., Caño-Velasco, Jorge, Subiela, José Daniel, Abu-Ghanem, Yasmin, Grobet-Jeandin, Elisabeth, Del Giudice, Francesco, Pichler, Renate, Teoh, Jeremy Yuen-Chun, Moschini, Marco, Krajewski, Wojciech, Miki, Jun, Shariat, Shahrokh F., and Kimura, Takahiro

Published
2024
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14. Seeing eye to eye: a modified Delphi method-based multidisciplinary expert consensus on the diagnosis and treatment of vernal keratoconjunctivitis

Author

Ghiglioni, Daniele Giovanni, Bruschi, Gaia, Chiappini, Elena, Consales, Alessandra, Allegri, Pia, Aragona, Pasquale, Bonini, Stefano, Caputo, Roberto, Cardinale, Fabio, Landi, Massimo, Leonardi, Andrea, Marseglia, Gian Luigi, Mori, Francesca, Nebbioso, Marcella, Nucci, Paolo, Osnaghi, Silvia, Procoli, Ugo, Villani, Edoardo, Zicari, Anna Maria, and Miraglia Del Giudice, Michele

Published
2024
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17. Pembrolizumab in patients with advanced upper tract urothelial carcinoma: a real-world study from ARON-2 project

Author

Rizzo, Alessandro, Buti, Sebastiano, Giannatempo, Patrizia, Salah, Samer, Molina-Cerrillo, Javier, Massari, Francesco, Kopp, Ray Manneh, Fiala, Ondřej, Galli, Luca, Myint, Zin W., Tural, Deniz, Soares, Andrey, Pichler, Renate, Mennitto, Alessia, Abahssain, Halima, Calabrò, Fabio, Monteiro, Fernando Sabino M., Albano, Anna, Mollica, Veronica, Giudice, Giulia Claire, Takeshita, Hideki, and Santoni, Matteo

Published
2024
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25. See Spot Guide: Accessible Interfaces for an Assistive Quadruped Robot

Author

Hata, Rayna, Trikasemsak, Narit, Giudice, Andrea, and Doore, Stacy A.

Subjects
Computer Science - Robotics
Abstract

While there is no replacement for the learned expertise, devotion, and social benefits of a guide dog, there are cases in which a robot navigation assistant could be helpful for individuals with blindness or low vision (BLV). This study investigated the potential for an industrial agile robot to perform guided navigation tasks. We developed two interface prototypes that allowed for spatial information between a human-robot pair: a voice-based app and a flexible, responsive handle. The participants (n=21) completed simple navigation tasks and a post-study survey about the prototype functionality and their trust in the robot. All participants successfully completed the navigation tasks and demonstrated the interface prototypes were able to pass spatial information between the human and the robot. Future work will include expanding the voice-based app to allow the robot to communicate obstacles to the handler and adding haptic signals to the handle design., Comment: This is an extended version of the late-breaking report presented as "Rayna Hata and Stacy A. Doore. Assistive Agile Robot for Non-visual Navigation. IEEE International Conference on Intelligent Robots and Systems, Detroit, MI. October 1-5, 2023"

Published
2024

26. Towards Robotic Companions: Understanding Handler-Guide Dog Interactions for Informed Guide Dog Robot Design

Author

Hwang, Hochul, Jung, Hee-Tae, Giudice, Nicholas A, Biswas, Joydeep, Lee, Sunghoon Ivan, and Kim, Donghyun

Subjects
Computer Science - Robotics, Computer Science - Human-Computer Interaction
Abstract

Dog guides are favored by blind and low-vision (BLV) individuals for their ability to enhance independence and confidence by reducing safety concerns and increasing navigation efficiency compared to traditional mobility aids. However, only a relatively small proportion of BLV individuals work with dog guides due to their limited availability and associated maintenance responsibilities. There is considerable recent interest in addressing this challenge by developing legged guide dog robots. This study was designed to determine critical aspects of the handler-guide dog interaction and better understand handler needs to inform guide dog robot development. We conducted semi-structured interviews and observation sessions with 23 dog guide handlers and 5 trainers. Thematic analysis revealed critical limitations in guide dog work, desired personalization in handler-guide dog interaction, and important perspectives on future guide dog robots. Grounded on these findings, we discuss pivotal design insights for guide dog robots aimed for adoption within the BLV community.

Published
2024

27. Bayesian Causal Inference with Gaussian Process Networks

Author

Giudice, Enrico, Kuipers, Jack, and Moffa, Giusi

Subjects
Statistics - Machine Learning, Computer Science - Machine Learning, Statistics - Methodology
Abstract

Causal discovery and inference from observational data is an essential problem in statistics posing both modeling and computational challenges. These are typically addressed by imposing strict assumptions on the joint distribution such as linearity. We consider the problem of the Bayesian estimation of the effects of hypothetical interventions in the Gaussian Process Network (GPN) model, a flexible causal framework which allows describing the causal relationships nonparametrically. We detail how to perform causal inference on GPNs by simulating the effect of an intervention across the whole network and propagating the effect of the intervention on downstream variables. We further derive a simpler computational approximation by estimating the intervention distribution as a function of local variables only, modeling the conditional distributions via additive Gaussian processes. We extend both frameworks beyond the case of a known causal graph, incorporating uncertainty about the causal structure via Markov chain Monte Carlo methods. Simulation studies show that our approach is able to identify the effects of hypothetical interventions with non-Gaussian, non-linear observational data and accurately reflect the posterior uncertainty of the causal estimates. Finally we compare the results of our GPN-based causal inference approach to existing methods on a dataset of $A.~thaliana$ gene expressions.

Published
2024

28. Variational Neural and Tensor Network Approximations of Thermal States

Author

Lu, Sirui, Giudice, Giacomo, and Cirac, J. Ignacio

Subjects
Quantum Physics, Condensed Matter - Disordered Systems and Neural Networks, Condensed Matter - Strongly Correlated Electrons
Abstract

We introduce a variational Monte Carlo algorithm for approximating finite-temperature quantum many-body systems, based on the minimization of a modified free energy. We employ a variety of trial states -- both tensor networks as well as neural networks -- as variational ans\"atze for our numerical optimization. We benchmark and compare different constructions in the above classes, both for one- and two-dimensional problems, with systems made of up to \(N=100\) spins. Despite excellent results in one dimension, our results suggest that the numerical ans\"atze employed have certain expressive limitations for tackling more challenging two-dimensional systems., Comment: 7+9 pages, 3+4 figures

Published
2024

29. Quantitative in vitro to in vivo extrapolation for human toxicology and drug development

Author

Cattelani, Luca, del Giudice, Giusy, Serra, Angela, Fratello, Michele, Saarimäki, Laura Aliisa, Fortino, Vittorio, Federico, Antonio, Tsiros, Periklis, Mannerström, Marika, Toimela, Tarja, Serchi, Tommaso, Lynch, Iseult, Doganis, Philip, Sarimveis, Haralambos, and Greco, Dario

Subjects
Quantitative Biology - Quantitative Methods
Abstract

Traditional animal testing for toxicity is expensive, time consuming, ethically questioned, sometimes inaccurate because of the necessity to extrapolate from animal to human, and in most cases not formally validated according to modern standards. This is driving regulatory bodies and companies in backing alternative methods focusing on in silico and in vitro approaches. These are complex to implement and validate, and their wide adoption is not yet established despite legal directives providing an imperative. It is difficult to link a cell level response to effects on a whole organism, but the advances in high-throughput toxicogenomics towards elucidating the mechanism of action of substances are gradually reducing this gap and fostering the adoption of Next Generation Safety Assessment approaches. Quantitative in vitro to in vivo extrapolation (QIVIVE) methods hold the promise to reveal how to use in vitro -omics data to predict the potential for in vivo toxicity. They could improve lead compounds prioritisation, reduce time and costs, also in numbers of animal lives, and help with the complexity of extrapolating between species. We provide a description of QIVIVE state of the art, including how the problems of dosing and timing are being approached, how in silico simulation can take into account the variability of individuals, and how multiple techniques can be integrated to face complex tasks like the prediction of long term toxicity, including a close look into the open problems and challenges ahead., Comment: We authors have decided to withdraw the preprint from arXiv at this time. This decision stems from our desire to revisit and refine certain specific points in our work

Published
2024

30. Identifying therapeutic candidates for endometriosis through a transcriptomics-based drug repositioning approach

Author

Oskotsky, Tomiko T, Bhoja, Arohee, Bunis, Daniel, Le, Brian L, Tang, Alice S, Kosti, Idit, Li, Christine, Houshdaran, Sahar, Sen, Sushmita, Vallvé-Juanico, Júlia, Wang, Wanxin, Arthurs, Erin, Govil, Arpita, Mahoney, Lauren, Lang, Lindsey, Gaudilliere, Brice, Stevenson, David K, Irwin, Juan C, Giudice, Linda C, McAllister, Stacy L, and Sirota, Marina

Subjects
Pharmacology and Pharmaceutical Sciences, Biomedical and Clinical Sciences, Pain Research, Contraception/Reproduction, Chronic Pain, Endometriosis, Women's Health, 5.1 Pharmaceuticals, Development of treatments and therapeutic interventions, Drugs, Transcriptomics
Abstract

Existing medical treatments for endometriosis-related pain are often ineffective, underscoring the need for new therapeutic strategies. In this study, we applied a computational drug repurposing pipeline to stratified and unstratified disease signatures based on endometrial gene expression data to identify potential therapeutics from existing drugs, based on expression reversal. Of 3,131 unique genes differentially expressed by at least one of six endometriosis signatures, only 308 (9.8%) were in common; however, 221 out of 299 drugs identified, (73.9%) were shared. We selected fenoprofen, an uncommonly prescribed NSAID that was the top therapeutic candidate for further investigation. When testing fenoprofen in an established rat model of endometriosis, fenoprofen successfully alleviated endometriosis-associated vaginal hyperalgesia, a surrogate marker for endometriosis-related pain. These findings validate fenoprofen as a therapeutic that could be utilized more frequently for endometriosis and suggest the utility of the aforementioned computational drug repurposing approach for endometriosis.

Published
2024

31. Two-year efficacy and safety of relugolix combination therapy in women with endometriosis-associated pain: SPIRIT open-label extension study.

Author

Becker, Christian, Johnson, Neil, As-Sanie, Sawsan, Arjona Ferreira, Juan, Abrao, Mauricio, Wilk, Krzysztof, Imm, So, Mathur, Vandana, Perry, Julie, Wagman, Rachel, and Giudice, Linda

Subjects
dysmenorrhea, dyspareunia, endometriosis, long-term treatment, non-menstrual pelvic pain, pain, relugolix, Humans, Female, Adolescent, Young Adult, Adult, Middle Aged, Endometriosis, Dysmenorrhea, Dyspareunia, Quality of Life, Pelvic Pain, Analgesics, Opioid, Phenylurea Compounds, Pyrimidinones
Abstract

STUDY QUESTION: What is the efficacy and safety of long-term treatment (up to 2 years) with relugolix combination therapy (CT) in women with moderate to severe endometriosis-associated pain? SUMMARY ANSWER: For up to 2 years, treatment with relugolix CT improved menstrual and non-menstrual pain, dyspareunia, and function in women with endometriosis; after an initial decline of

Published
2024

32. Effects of daratumumab on hematopoietic stem cell collection and engraftment in multiple myeloma patients eligible for autologous transplantation: results of the real-life PRIMULA study comparing bortezomib, thalidomide and dexamethasone (VTd) with VTd plus daratumumab (D-VTd) as induction therapy

Author

Strafella, Vanda, Attolico, Immacolata, Carluccio, Paola, Tarantini, Francesco, Curci, Paola, Sgherza, Nicola, Rizzi, Rita, Ostuni, Angelo, Buda, Gabriele, Del Giudice, Maria Livia, Marasco, Vincenzo, Mele, Anna, Margiotta-Casaluci, Gloria, Valli, Viviana Beatrice, Mele, Giuseppe, Germano, Candida Rosaria, Quinto, Angela Maria, Palazzo, Giulia, Febbo, Massimiliano Arangio, Ciuffreda, Lucia, Reddiconto, Giovanni, Di Renzo, Nicola, Cimminiello, Michele, Albano, Francesco, and Musto, Pellegrino

Published
2024
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36. Monitoring Local and Global Properties of Collective Adaptive Systems

Author

Del Giudice, Nicola, Loreti, Michele, Quadrini, Michela, Rehman, Aniqa, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, and Margaria, Tiziana, editor

Published
2025
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41. Real-World Impact of Upfront Cytoreductive Nephrectomy in Metastatic Non-Clear Cell Renal Cell Carcinoma Treated with First-Line Immunotherapy Combinations or Tyrosine Kinase Inhibitors (A Sub-Analysis from the ARON-1 Retrospective Study)

Author

Fiala, Ondřej, Buti, Sebastiano, Bamias, Aristotelis, Massari, Francesco, Pichler, Renate, Maruzzo, Marco, Grande, Enrique, De Giorgi, Ugo, Molina-Cerrillo, Javier, Seront, Emmanuel, Calabrò, Fabio, Myint, Zin W., Facchini, Gaetano, Kopp, Ray Manneh, Berardi, Rossana, Kucharz, Jakub, Vitale, Maria Giuseppa, Pinto, Alvaro, Formisano, Luigi, Büttner, Thomas, Messina, Carlo, Monteiro, Fernando Sabino M., Battelli, Nicola, Kanesvaran, Ravindran, Büchler, Tomáš, Kopecký, Jindřich, Santini, Daniele, Giudice, Giulia Claire, Porta, Camillo, and Santoni, Matteo

Published
2024
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43. The impact of radical prostatectomy on global climate: a prospective multicentre study comparing laparoscopic versus robotic surgery

Author

Fuschi, Andrea, Pastore, Antonio Luigi, Al Salhi, Yazan, Martoccia, Alessia, De Nunzio, Cosimo, Tema, Giorgia, Rera, Onofrio Antonio, Carbone, Flavia, Asimakopoulos, Anastasios D., Sequi, Manfredi Bruno, Valenzi, Fabio Maria, Suraci, Paolo Pietro, Scalzo, Silvio, Del Giudice, Francesco, Nardecchia, Stefano, Bozzini, Giorgio, Corsini, Alessandro, Sciarra, Alessandro, and Carbone, Antonio

Published
2024
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47. An Innovative Tool for Uploading/Scraping Large Image Datasets on Social Networks

Author

Arceri, Nicolò Fabio, Giudice, Oliver, and Battiato, Sebastiano

Subjects
Computer Science - Digital Libraries, Computer Science - Machine Learning, Computer Science - Social and Information Networks
Abstract

Nowadays, people can retrieve and share digital information in an increasingly easy and fast fashion through the well-known digital platforms, including sensitive data, inappropriate or illegal content, and, in general, information that might serve as probative evidence in court. Consequently, to assess forensics issues, we need to figure out how to trace back to the posting chain of a digital evidence (e.g., a picture, an audio) throughout the involved platforms -- this is what Digital (also Forensics) Ballistics basically deals with. With the entry of Machine Learning as a tool of the trade in many research areas, the need for vast amounts of data has been dramatically increasing over the last few years. However, collecting or simply find the "right" datasets that properly enables data-driven research studies can turn out to be not trivial in some cases, if not extremely challenging, especially when it comes with highly specialized tasks, such as creating datasets analyzed to detect the source media platform of a given digital media. In this paper we propose an automated approach by means of a digital tool that we created on purpose. The tool is capable of automatically uploading an entire image dataset to the desired digital platform and then downloading all the uploaded pictures, thus shortening the overall time required to output the final dataset to be analyzed., Comment: 6 pages, 6 figures, presented at 2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)

Published
2023

48. Deep Audio Analyzer: a Framework to Industrialize the Research on Audio Forensics

Author

Puglisi, Valerio Francesco, Giudice, Oliver, and Battiato, Sebastiano

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

Deep Audio Analyzer is an open source speech framework that aims to simplify the research and the development process of neural speech processing pipelines, allowing users to conceive, compare and share results in a fast and reproducible way. This paper describes the core architecture designed to support several tasks of common interest in the audio forensics field, showing possibility of creating new tasks thus customizing the framework. By means of Deep Audio Analyzer, forensics examiners (i.e. from Law Enforcement Agencies) and researchers will be able to visualize audio features, easily evaluate performances on pretrained models, to create, export and share new audio analysis workflows by combining deep neural network models with few clicks. One of the advantages of this tool is to speed up research and practical experimentation, in the field of audio forensics analysis thus also improving experimental reproducibility by exporting and sharing pipelines. All features are developed in modules accessible by the user through a Graphic User Interface. Index Terms: Speech Processing, Deep Learning Audio, Deep Learning Audio Pipeline creation, Audio Forensics.

Published
2023

49. Terrestrial Very-Long-Baseline Atom Interferometry: Workshop Summary

Author

Abend, Sven, Allard, Baptiste, Alonso, Iván, Antoniadis, John, Araujo, Henrique, Arduini, Gianluigi, Arnold, Aidan, Aßmann, Tobias, Augst, Nadja, Badurina, Leonardo, Balaz, Antun, Banks, Hannah, Barone, Michele, Barsanti, Michele, Bassi, Angelo, Battelier, Baptiste, Baynham, Charles, Quentin, Beaufils, Belic, Aleksandar, Beniwal, Ankit, Bernabeu, Jose, Bertinelli, Francesco, Bertoldi, Andrea, Biswas, Ikbal Ahamed, Blas, Diego, Boegel, Patrick, Bogojevic, Aleksandar, Böhm, Jonas, Böhringer, Samuel, Bongs, Kai, Bouyer, Philippe, Brand, Christian, Brimis, Apostolos, Buchmueller, Oliver, Cacciapuoti, Luigi, Calatroni, Sergio, Canuel, Benjamin, Caprini, Chiara, Caramete, Ana, Caramete, Laurentiu, Carlesso, Matteo, Carlton, John, Casariego, Mateo, Charmandaris, Vassilis, Chen, Yu-Ao, Chiofalo, Maria Luisa, Cimbri, Alessia, Coleman, Jonathon, Constantin, Florin Lucian, Contaldi, Carlo, Cui, Yanou, Da Ros, Elisa, Davies, Gavin, Rosendo, Esther del Pino, Deppner, Christian, Derevianko, Andrei, de Rham, Claudia, De Roeck, Albert, Derr, Daniel, Di Pumpo, Fabio, Djordjevic, Goran, Dobrich, Babette, Domokos, Peter, Dornan, Peter, Doser, Michael, Drougakis, Giannis, Dunningham, Jacob, Duspayev, Alisher, Easo, Sajan, Eby, Joshua, Efremov, Maxim, Ekelof, Tord, Elertas, Gedminas, Ellis, John, Evans, David, Fadeev, Pavel, Fanì, Mattia, Fassi, Farida, Fattori, Marco, Fayet, Pierre, Felea, Daniel, Feng, Jie, Friedrich, Alexander, Fuchs, Elina, Gaaloul, Naceur, Gao, Dongfeng, Gardner, Susan, Garraway, Barry, Gauguet, Alexandre, Gerlach, Sandra, Gersemann, Matthias, Gibson, Valerie, Giese, Enno, Giudice, Gian Francesco, Glasbrenner, Eric, Gündogan, Mustafa, Haehnelt, Martin G., Hakulinen, Timo, Hammerer, Klemens, Hanımeli, Ekim Taylan, Harte, Tiffany, Hawkins, Leonie, Hees, Aurelien, Heise, Jaret, Henderson, Victoria, Herrmann, Sven, Hird, Thomas, Hogan, Jason, Holst, Bodil, Holynski, Michael, Hussain, Kamran, Janson, Gregor, Jeglič, Peter, Jelezko, Fedor, Kagan, Michael, Kalliokoski, Matti, Kasevich, Mark, Kehagias, Alex, Kilian, Eva, Koley, Soumen, Konrad, Bernd, Kopp, Joachim, Kornakov, Georgy, Kovachy, Tim, Krutzik, Markus, Kumar, Mukesh, Kumar, Pradeep, Laemmerzahl, Claus, Landsberg, Greg, Langlois, Mehdi, Lanigan, Bryony, Lellouch, Samuel, Leone, Bruno, Lafitte, Christophe Le Poncin, Lewicki, Marek, Leykauf, Bastian, Lezeik, Ali, Lombriser, Lucas, López, Luis, Asamar, Elias López, Monjaraz, Cristian López, Luciano, Gaetano, Mohammed, Mohammed Mahmoud, Maleknejad, Azadeh, Markus, Krutzik, Marteau, Jacques, Massonnet, Didier, Mazumdar, Anupam, McCabe, Christopher, Meister, Matthias, Menu, Jonathan, Messineo, Giuseppe, Micalizio, Salvatore, Millington, Peter, Milosevic, Milan, Mitchell, Jeremiah, Montero, Mario, Morley, Gavin, Müller, Jürgen, Müstecaplıoğlu, Özgür, Ni, Wei-Tou, Noller, Johannes, Odžak, Senad, Oi, Daniel, Omar, Yasser, Pahl, Julia, Paling, Sean, Pandey, Saurabh, Pappas, George, Pareek, Vinay, Pasatembou, Elizabeth, Pelucchi, Emanuele, Santos, Franck Pereira dos, Piest, Baptist, Pikovski, Igor, Pilaftsis, Apostolos, Plunkett, Robert, Poggiani, Rosa, Prevedelli, Marco, Puputti, Julia, Veettil, Vishnupriya Puthiya, Quenby, John, Rafelski, Johann, Rajendran, Surjeet, Rasel, Ernst Maria, Sfar, Haifa Rejeb, Reynaud, Serge, Richaud, Andrea, Rodzinka, Tangui, Roura, Albert, Rudolph, Jan, Sabulsky, Dylan, Safronova, Marianna, Santamaria, Luigi, Schilling, Manuel, Schkolnik, Vladimir, Schleich, Wolfgang, Schlippert, Dennis, Schneider, Ulrich, Schreck, Florian, Schubert, Christian, Schwersenz, Nico, Semakin, Aleksei, Sergijenko, Olga, Shao, Lijing, Shipsey, Ian, Singh, Rajeev, Smerzi, Augusto, Sopuerta, Carlos F., Spallicci, Alessandro, Stefanescu, Petruta, Stergioulas, Nikolaos, Ströhle, Jannik, Struckmann, Christian, Tentindo, Silvia, Throssell, Henry, Tino, Guglielmo M., Tinsley, Jonathan, Mircea, Ovidiu Tintareanu, Tkalčec, Kimberly, Tolley, Andrew, Tornatore, Vincenza, Torres-Orjuela, Alejandro, Treutlein, Philipp, Trombettoni, Andrea, Tsai, Yu-Dai, Ufrecht, Christian, Ulmer, Stefan, Valuch, Daniel, Vaskonen, Ville, Aceves, Veronica Vazquez, Vitanov, Nikolay, Vogt, Christian, von Klitzing, Wolf, Vukics, András, Walser, Reinhold, Wang, Jin, Warburton, Niels, Webber-Date, Alexander, Wenzlawski, André, Werner, Michael, Williams, Jason, Windapssinger, Patrcik, Wolf, Peter, Wörner, Lisa, Xuereb, André, Yahia, Mohamed, Cruzeiro, Emmanuel Zambrini, Zarei, Moslem, Zhan, Mingsheng, Zhou, Lin, Zupan, Jure, and Zupanič, Erik

Subjects
High Energy Physics - Experiment, Astrophysics - Instrumentation and Methods for Astrophysics, General Relativity and Quantum Cosmology, High Energy Physics - Phenomenology, Physics - Atomic Physics
Abstract

This document presents a summary of the 2023 Terrestrial Very-Long-Baseline Atom Interferometry Workshop hosted by CERN. The workshop brought together experts from around the world to discuss the exciting developments in large-scale atom interferometer (AI) prototypes and their potential for detecting ultralight dark matter and gravitational waves. The primary objective of the workshop was to lay the groundwork for an international TVLBAI proto-collaboration. This collaboration aims to unite researchers from different institutions to strategize and secure funding for terrestrial large-scale AI projects. The ultimate goal is to create a roadmap detailing the design and technology choices for one or more km-scale detectors, which will be operational in the mid-2030s. The key sections of this report present the physics case and technical challenges, together with a comprehensive overview of the discussions at the workshop together with the main conclusions., Comment: Summary of the Terrestrial Very-Long-Baseline Atom Interferometry Workshop held at CERN: https://indico.cern.ch/event/1208783/

Published
2023

50. Real-time Monitoring for the Next Core-Collapse Supernova in JUNO

Author

Abusleme, Angel, Adam, Thomas, Ahmad, Shakeel, Ahmed, Rizwan, Aiello, Sebastiano, Akram, Muhammad, Aleem, Abid, An, Fengpeng, An, Qi, Andronico, Giuseppe, Anfimov, Nikolay, Antonelli, Vito, Antoshkina, Tatiana, Asavapibhop, Burin, de André, João Pedro Athayde Marcondes, Auguste, Didier, Bai, Weidong, Balashov, Nikita, Baldini, Wander, Barresi, Andrea, Basilico, Davide, Baussan, Eric, Bellato, Marco, Beretta, Marco, Bergnoli, Antonio, Bick, Daniel, Bieger, Lukas, Biktemerova, Svetlana, Birkenfeld, Thilo, Morton-Blake, Iwan, Blum, David, Blyth, Simon, Bolshakova, Anastasia, Bongrand, Mathieu, Bordereau, Clément, Breton, Dominique, Brigatti, Augusto, Brugnera, Riccardo, Bruno, Riccardo, Budano, Antonio, Busto, Jose, Cabrera, Anatael, Caccianiga, Barbara, Cai, Hao, Cai, Xiao, Cai, Yanke, Cai, Zhiyan, Callier, Stéphane, Cammi, Antonio, Campeny, Agustin, Cao, Chuanya, Cao, Guofu, Cao, Jun, Caruso, Rossella, Cerna, Cédric, Cerrone, Vanessa, Chan, Chi, Chang, Jinfan, Chang, Yun, Chatrabhuti, Auttakit, Chen, Chao, Chen, Guoming, Chen, Pingping, Chen, Shaomin, Chen, Yixue, Chen, Yu, Chen, Zhangming, Chen, Zhiyuan, Chen, Zikang, Cheng, Jie, Cheng, Yaping, Cheng, Yu Chin, Chepurnov, Alexander, Chetverikov, Alexey, Chiesa, Davide, Chimenti, Pietro, Chin, Yen-Ting, Chu, Ziliang, Chukanov, Artem, Claverie, Gérard, Clementi, Catia, Clerbaux, Barbara, Molla, Marta Colomer, Di Lorenzo, Selma Conforti, Coppi, Alberto, Corti, Daniele, Csakli, Simon, Corso, Flavio Dal, Dalager, Olivia, Datta, Jaydeep, De La Taille, Christophe, Deng, Zhi, Deng, Ziyan, Ding, Xiaoyu, Ding, Xuefeng, Ding, Yayun, Dirgantara, Bayu, Dittrich, Carsten, Dmitrievsky, Sergey, Dohnal, Tadeas, Dolzhikov, Dmitry, Donchenko, Georgy, Dong, Jianmeng, Doroshkevich, Evgeny, Dou, Wei, Dracos, Marcos, Druillole, Frédéric, Du, Ran, Du, Shuxian, Dugas, Katherine, Dusini, Stefano, Duyang, Hongyue, Eck, Jessica, Enqvist, Timo, Fabbri, Andrea, Fahrendholz, Ulrike, Fan, Lei, Fang, Jian, Fang, Wenxing, Fargetta, Marco, Fedoseev, 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Subjects
High Energy Physics - Experiment, Astrophysics - High Energy Astrophysical Phenomena, High Energy Physics - Phenomenology
Abstract

The core-collapse supernova (CCSN) is considered one of the most energetic astrophysical events in the universe. The early and prompt detection of neutrinos before (pre-SN) and during the supernova (SN) burst presents a unique opportunity for multi-messenger observations of CCSN events. In this study, we describe the monitoring concept and present the sensitivity of the system to pre-SN and SN neutrinos at the Jiangmen Underground Neutrino Observatory (JUNO), a 20 kton liquid scintillator detector currently under construction in South China. The real-time monitoring system is designed to ensure both prompt alert speed and comprehensive coverage of progenitor stars. It incorporates prompt monitors on the electronic board as well as online monitors at the data acquisition stage. Assuming a false alert rate of 1 per year, this monitoring system exhibits sensitivity to pre-SN neutrinos up to a distance of approximately 1.6 (0.9) kiloparsecs and SN neutrinos up to about 370 (360) kiloparsecs for a progenitor mass of 30 solar masses, considering both normal and inverted mass ordering scenarios. The pointing ability of the CCSN is evaluated by analyzing the accumulated event anisotropy of inverse beta decay interactions from pre-SN or SN neutrinos. This, along with the early alert, can play a crucial role in facilitating follow-up multi-messenger observations of the next galactic or nearby extragalactic CCSN., Comment: 24 pages, 9 figures, accepted for the publication at JCAP

Published
2023

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