High-purity quantum optomechanics at room temperature

Autor: Dania, Lorenzo, Kremer, Oscar Schmitt, Piotrowski, Johannes, Candoli, Davide, Vijayan, Jayadev, Romero-Isart, Oriol, Gonzalez-Ballestero, Carlos, Novotny, Lukas, Frimmer, Martin

Exploiting quantum effects of mechanical motion, such as backaction evading measurements or squeezing, requires preparation of the oscillator in a high-purity state. The largest state purities in optomechanics to date have relied on cryogenic cooling

Externí odkaz: http://arxiv.org/abs/2412.14117

The Giant Radio Array for Neutrino Detection (GRAND) Collaboration -- Contributions to the 10th International Workshop on Acoustic and Radio EeV Neutrino Detection Activities (ARENA 2024)

Autor: Batista, Rafael Alves, Benoit-Lévy, Aurélien, Bister, Teresa, Bohacova, Martina, Bustamante, Mauricio, Carvalho, Washington, Chen, Yiren, Cheng, LingMei, Chiche, Simon, Colley, Jean-Marc, Correa, Pablo, Laurenciu, Nicoleta Cucu, Dai, Zigao, de Almeida, Rogerio M., de Errico, Beatriz, de Jong, Sijbrand, Neto, João R. T. de Mello, de Vries, Krijn D, Decoene, Valentin, Denton, Peter B., Duan, Bohao, Duan, Kaikai, Engel, Ralph, Erba, William, Fan, Yizhong, Ferrière, Arsène, Gou, QuanBu, Gu, Junhua, Guelfand, Marion, Guo, Jianhua, Guo, Yiqing, Guépin, Claire, Gülzow, Lukas, Haungs, Andreas, Havelka, Matej, He, Haoning, Hivon, Eric, Hu, Hongbo, Huang, Xiaoyuan, Huang, Yan, Huege, Tim, Jiang, Wen, Koirala, Ramesh, Kong, ChuiZheng, Kotera, Kumiko, Köhler, Jelena, Lago, Bruno L., Lai, Zhisen, Coz, Sandra Le, Legrand, François, Leisos, Antonios, Li, Rui, Li, Xingyu, Li, YiFei, Liu, Cheng, Liu, Ruoyu, Liu, Wei, Ma, Pengxiong, Macias, Oscar, Magnard, Frédéric, Marcowith, Alexandre, Martineau-Huynh, Olivier, McKinley, Thomas, Minodier, Paul, Mitra, Pragati, Mostafá, Miguel, Murase, Kohta, Niess, Valentin, Nonis, Stavros, Ogio, Shoichi, Oikonomou, Foteini, Pan, Hongwei, Papageorgiou, Konstantinos, Pierog, Tanguy, Piotrowski, Lech Wiktor, Prunet, Simon, Qian, Xiangli, Roth, Markus, Sako, Takashi, Schoorlemmer, Harm, Szálas-Motesiczky, Dániel, Sławiński, Szymon, Tian, Xishui, Timmermans, Anne, Timmermans, Charles, Tobiska, Petr, Tsirigotis, Apostolos, Tueros, Matías, Vittakis, George, Wang, Hanrui, Wang, Jiale, Wang, Shen, Wang, Xiangyu, Wang, Xu, Wei, Daming, Wei, Feng, Wu, Xiangping, Wu, Xuefeng, Xu, Xin, Xu, Xing, Yang, Fufu, Yang, Lili, Yang, Xuan, Yuan, Qiang, Zarka, Philippe, Zeng, Houdun, Zhang, Chao, Zhang, Jianli, Zhang, Kewen, Zhang, Pengfei, Zhang, Qingchi, Zhang, Songbo, Zhang, Yi, Zhou, Hao, Wissel, Stephanie, Zeolla, Andrew, Deaconu, Cosmin, Hughes, Kaeli, Martin, Zachary, Mulrey, Katharine, Cummings, Austin, Krömer, Oliver, Plant, Kathryn, Schroeder, Frank G.

This is an index of the contributions by the Giant Radio Array for Neutrino Detection (GRAND) Collaboration to the 10th International Workshop on Acoustic and Radio EeV Neutrino Detection Activities (ARENA 2024, University of Chicago, June 11-14, 202

Externí odkaz: http://arxiv.org/abs/2409.03427

Reduced-Rank Estimation for Ill-Conditioned Stochastic Linear Model with High Signal-to-Noise Ratio

Autor: Piotrowski, Tomasz, Yamada, Isao

Publikováno v: Journal of the Franklin Institute, 2016

Reduced-rank approach has been used for decades in robust linear estimation of both deterministic and random vector of parameters in linear model y=Hx+\sqrt{epsilon}n. In practical settings, estimation is frequently performed under incomplete or inex

Externí odkaz: http://arxiv.org/abs/2408.01117

Determinants of Seidel Tournament Matrices

Autor: Klanderman, Sarah, Montee, MurphyKate, Piotrowski, Andrzej, Rice, Alex, Shader, Bryan

The Seidel matrix of a tournament on $n$ players is an $n\times n$ skew-symmetric matrix with entries in $\{0, 1, -1\}$ that encapsulates the outcomes of the games in the given tournament. It is known that the determinant of an $n\times n$ Seidel mat

Externí odkaz: http://arxiv.org/abs/2406.09697

Real-time Geoinformation Systems to Improve the Quality, Scalability, and Cost of Internet of Things for Agri-environment Research

Autor: Runck, Bryan C., Schulz, Bobby, Bishop, Jeff, Carlson, Nathan, Chantigian, Bryan, Deters, Gary, Erdmann, Jesse, Ewing, Patrick M., Felzan, Michael, Fu, Xiao, Greyling, Jan, Hogan, Christopher J., Hollman, Andrew, Joglekar, Ali, Junker, Kris, Kantar, Michael, Kaunda, Lumbani, Krishna, Mohana, Lynch, Benjamin, Marchetto, Peter, Marsolek, Megan, McKay, Troy, Morris, Brad, Niaghi, Ali Rashid, Pamulaparthy, Keerthi, Pardey, Philip, Piotrowski, Ann, Poudyal, Christina, Prather, Tom, Raghavan, Barath, Reiter, Maggie, Rosen, Lucas, Salazar, Benjamin, Scobbie, Andrew, Sharma, Vasudha, Silverstein, Kevin A. T., Singh, Gurparteet, Strock, Jeff, Subedi, Samikshya, Tang, Evan, Turturillo, Gianna, Watkins, Eric, Webster, Blake, Wilgenbusch, James

With the increasing emphasis on machine learning and artificial intelligence to drive knowledge discovery in the agricultural sciences, spatial internet of things (IoT) technologies have become increasingly important for collecting real-time, high re

Externí odkaz: http://arxiv.org/abs/2403.19477