Dust polarized emission observations of NGC 6334; BISTRO reveals the details of the complex but organized magnetic field structure of the high-mass star-forming hub-filament network

no code implementations • 24 Dec 2020 • D. Arzoumanian, R. Furuya, T. Hasegawa, M. Tahani, S. Sadavoy, C. L. H. Hull, D. Johnstone, P. M. Koch, S. -i. Inutsuka, Y. Doi, T. Hoang, T. Onaka, K. Iwasaki, Y. Shimajiri, T. Inoue, N. Peretto, P. André, P. Bastien, D. Berry, H. -R. V. Chen, J. Di Francesco, C. Eswaraiah, L. Fanciullo, L. M. Fissel, J. Hwang, J. -h. Kang, G. Kim, K. -T. Kim, F. Kirchschlager, W. Kwon, C. W. Lee, H. -L. Liu, A. -R. Lyo, K. Pattle, A. Soam, X. Tang, A. Whitworth, T. -C. Ching, S. Coudé, J. -W. Wang, D. Ward-Thompson, S. -P. Lai, K. Qiu, T. L. Bourke, D. -Y. Byun, M. Chen, Z. Chen, W. P. Chen, J. Cho, Y. Choi, M. Choi, A. Chrysostomou, E. J. Chung, S. Dai, P. N. Diep, H. -Y. Duan, Y. Duan, D. Eden, J. Fiege, E. Franzmann, P. Friberg, G. Fuller, T. Gledhill, S. Graves, J. Greaves, M. Griffin, Q. Gu, I. Han, J. Hatchell, S. Hayashi, M. Houde, I. -G. Jeong, M. Kang, S. -j. Kang, A. Kataoka, K. Kawabata, F. Kemper, M. -R. Kim, K. H. Kim, J. Kim, S. Kim, J. Kirk, M. I. N. Kobayashi, V. Konyves, T. Kusune, J. Kwon, K. Lacaille, C. -Y. Law, C. -F. Lee, Y. -H. Lee, S. -S. Lee, H. Lee, J. -E. Lee, H. -b. Li, D. Li, J. Liu, T. Liu, S. -Y. Liu, X. Lu, S. Mairs, M. Matsumura, B. Matthews, G. Moriarty-Schieven, T. Nagata, F. Nakamura, H. Nakanishi, N. B. Ngoc, N. Ohashi, G. Park, H. Parsons, T. -S. Pyo, L. Qian, R. Rao, J. Rawlings, M. Rawlings, B. Retter, J. Richer, A. Rigby, H. Saito, G. Savini, A. Scaife, M. Seta, H. Shinnaga, M. Tamura, Y. -W. Tang, K. Tomisaka, L. N. Tram, Y. Tsukamoto, S. Viti, H. Wang, J. Xie, H. -W. Yen, H. Yoo, J. Yuan, H. -S. Yun, T. Zenko, G. Zhang, C. -P. Zhang, Y. Zhang, J. Zhou, L. Zhu, I. de Looze, C. D. Dowell, S. Eyres, S. Falle, R. Friesen, J. -F. Robitaille, S. van Loo

[Abridged] Filaments and hubs have received special attention recently thanks to studies showing their role in star formation.

Astrophysics of Galaxies

Temporal clustering network for self-diagnosing faults from vibration measurements

no code implementations • 16 Jun 2020 • G. Zhang, A. R. Singer, N. Vlahopoulos

There is a need to build intelligence in operating machinery and use data analysis on monitored signals in order to quantify the health of the operating system and self-diagnose any initiations of fault.

Clustering

Effectiveness of Scaled Exponentially-Regularized Linear Units (SERLUs)

no code implementations • 26 Jul 2018 • G. Zhang, H. Li

Differently from SELU, the new function introduces a bump-shaped function in the region of negative input by regularizing a linear function with a scaled exponential function, which is referred to as a scaled exponentially-regularized linear unit (SERLU).