Zobrazeno 1 - 10
of 454
pro vyhledávání: '"Stothert, A."'
Publikováno v:
IFAC-PapersOnLine, July 2024, 20th IFAC Symposium on System Identification SYSID 2024
MATLAB(R) releases over the last 3 years have witnessed a continuing growth in the dynamic modeling capabilities offered by the System Identification Toolbox(TM). The emphasis has been on integrating deep learning architectures and training technique
Externí odkaz:
http://arxiv.org/abs/2409.07642
Autor:
Vijayprakash Manickam, Sibaprasad Maity, Sree Varshini Murali, Dinesh Y. Gawande, Andrew R. Stothert, Lyudamila Batalkina, Astrid E. Cardona, Tejbeer Kaur
Publikováno v:
Frontiers in Cellular Neuroscience, Vol 18 (2024)
Cochlear ribbon synapses between sensory inner hair cells (IHCs) and spiral ganglion neurons (SGNs) are vulnerable to rapid and primary damage and/or loss due to noise overexposure. Such damaged ribbon synapses can repair spontaneously in mouse and g
Externí odkaz:
https://doaj.org/article/f1082e56d8c24bb58ec7d0ec5b911707
Publikováno v:
In CIRP Journal of Manufacturing Science and Technology December 2023 47:184-192
We present a proof of concept of a new galaxy group finder method, Markov graph Clustering (MCL; Van Dongen 2000) that naturally handles probabilistic linking criteria. We introduce a new figure of merit, the variation of information statistic (VI; M
Externí odkaz:
http://arxiv.org/abs/1903.12026
Autor:
Smith, Alex, He, Jian-hua, Cole, Shaun, Stothert, Lee, Norberg, Peder, Baugh, Carlton, Bianchi, Davide, Wilson, Michael J., Brooks, David, Forero-Romero, Jaime E., Moustakas, John, Percival, Will J., Tarle, Gregory, Wechsler, Risa H.
The Dark Energy Spectroscopic Instrument (DESI) Bright Galaxy Survey (BGS) will be a survey of bright, low redshift galaxies, which is planned to cover an area of ~14,000 sq deg in 3 passes. Each pass will cover the survey area with ~2000 pointings,
Externí odkaz:
http://arxiv.org/abs/1809.07355
Autor:
Stothert, L., Norberg, P., Baugh, C. M., Alarcon, A., Amara, A., Carretero, J., Castander, F. J., Eriksen, M., Fernandez, E., Fosalba, P., Garcia-Bellido, J., Gaztanaga, E., Hoekstra, H., Padilla, C., Refregier, A., Sanchez, E., Tortorelli, L.
We present a mock catalogue for the Physics of the Accelerating Universe Survey (PAUS) and use it to quantify the competitiveness of the narrow band imaging for measuring spectral features and galaxy clustering. The mock agrees with observed number c
Externí odkaz:
http://arxiv.org/abs/1807.03260
Autor:
Cabayol, Laura, Sevilla-Noarbe, Ignacio, Fernández, Enrique, Carretero, Jorge, Eriksen, Martin, Serrano, Santiago, Alarcón, Alex, Amara, Adam, Casas, Ricard, Castander, Francisco Javier, de Vicente, Juan, Folger, Martin, García-Bellido, Juan, Gaztanaga, Enrique, Hoekstra, Henk, Miquel, Ramon, Padilla, Cristobal, Sánchez, Eusebio, Stothert, Lee, Tallada, Pau, Tortorelli, Luca
Classification of stars and galaxies is a well-known astronomical problem that has been treated using different approaches, most of them relying on morphological information. In this paper, we tackle this issue using the low-resolution spectra from n
Externí odkaz:
http://arxiv.org/abs/1806.08545
Autor:
Tortorelli, Luca, Della Bruna, Lorenza, Herbel, Jörg, Amara, Adam, Refregier, Alexandre, Alarcon, Alex, Castander, Francisco J., De Vicente, Juan, Eriksen, Martin, Fernandez, Enrique, García-Bellido, Juan, Gaztanaga, Enrique, Miquel, Ramon, Padilla, Cristobal, Sanchez, Eusebio, Serrano, Santiago, Stothert, Lee, Tonello, Nadia
Weak gravitational lensing is a powerful probe of the dark sector, once measurement systematic errors can be controlled. In Refregier & Amara (2014), a calibration method based on forward modeling, called MCCL, was proposed. This relies on fast image
Externí odkaz:
http://arxiv.org/abs/1805.05340
Autor:
Manickam, Vijayprakash, Maity, Sibaprasad, Murali, Sree Varshini, Gawande, Dinesh Y., Stothert, Andrew R., Batalkina, Lyudamila, Cardona, Astrid E., Kaur, Tejbeer
Publikováno v:
Frontiers in Cellular Neuroscience; 2024, p1-18, 18p
Autor:
Sabbagh, Ramin, Živković, Srdjan, Gawlik, Brian, Sreenivasan, S.V., Stothert, Alec, Majstorovic, Vidosav, Djurdjanovic, Dragan
Publikováno v:
In CIRP Journal of Manufacturing Science and Technology January 2022 36:90-99