Results 11 to 20 of about 2,602,188 (348)

rPICARD: A CASA-based Calibration Pipeline for VLBI Data [PDF]

Astronomy & Astrophysics, 2019
Currently, HOPS and AIPS are the primary choices for the time-consuming process of (millimeter) Very Long Baseline Interferometry (VLBI) data calibration.
Falcke, H., Goddi, C., Janssen, M., Kettenis, M., Martí-Vidal, I., Small, D., van Bemmel, I., van Rossum, D.   +7 more
core   +2 more sources

CASA, the Common Astronomy Software Applications for Radio Astronomy [PDF]

Publications of the Astronomical Society of the Pacific, 2022
CASA, the Common Astronomy Software Applications, is the primary data processing software for the Atacama Large Millimeter/submillimeter Array (ALMA) and the Karl G.
The Casa Team, Ben Bean, S. Bhatnagar, S. Castro, J. Meyer, B. Emonts, Enrique García, R. Garwood, K. Golap, Justo Gonzalez Villalba, Pamela Harris, Yohei Hayashi, J. Hoskins, Mingyu Hsieh, P. Jagannathan, W. Kawasaki, A. Keimpema, M. Kettenis, J. López, J. Marvil, J. Masters, A. McNichols, D. Mehringer, Renaud Miel, G. Moellenbrock, F. Montesino, T. Nakazato, J. Ott, D. Petry, M. Pokorný, R. Raba, U. Rau, D. Schiebel, N. Schweighart, Srikrishna Sekhar, K. Shimada, D. Small, Jan-Willem W. Steeb, K. Sugimoto, V. Suoranta, T. Tsutsumi, I. Bemmel, Marjolein Verkouter, A. Wells, W. Xiong, A. Szomoru, Morgan Griffith, B. Glendenning, Jeff Kern Nrao Albuquerque, Nrao Socorro, Eső, Nrao - Charlottesville, Naoj, Jive, Idia   +54 more
semanticscholar   +1 more source

CASA-ASR: Context-Aware Speaker-Attributed ASR [PDF]

Interspeech, 2023
Recently, speaker-attributed automatic speech recognition (SA-ASR) has attracted a wide attention, which aims at answering the question ``who spoke what''.
Mohan Shi, Zhihao Du, Qian Chen, Fan Yu, Yangze Li, Shiliang Zhang, J. Zhang, Lirong Dai   +7 more
semanticscholar   +1 more source

CASA: Category-agnostic Skeletal Animal Reconstruction [PDF]

Neural Information Processing Systems, 2022
Recovering the skeletal shape of an animal from a monocular video is a longstanding challenge. Prevailing animal reconstruction methods often adopt a control-point driven animation model and optimize bone transforms individually without considering ...
Yuefan Wu, Ze-Yin Chen, Shao-Wei Liu, Zhongzheng Ren, Shenlong Wang   +4 more
semanticscholar   +1 more source

CASA on the Fringe—Development of VLBI Processing Capabilities for CASA [PDF]

Publications of the Astronomical Society of the Pacific, 2022
New functionality to process Very Long Baseline Interferometry (VLBI) data has been implemented in the CASA package. This includes two new tasks to handle fringe fitting and VLBI-specific amplitude calibration steps.
I. van Bemmel, M. Kettenis, D. Small, M. Janssen, G. Moellenbrock, D. Petry, C. Goddi, J. Linford, K. Rygl, E. Liuzzo, B. Marcote, O. Bayandina, N. Schweighart, Marjolein Verkouter, A. Keimpema, A. Szomoru, H. V. van Langevelde   +16 more
semanticscholar   +1 more source

The CASA theory no longer applies to desktop computers

Scientific Reports, 2023
The Computers Are Social Actors (CASA) theory is the most important theoretical contribution that has shaped the field of human–computer interaction. The theory states that humans interact with computers as if they are human, and is the cornerstone on ...
Evelien Heyselaar
semanticscholar   +1 more source

Estimation of European Terrestrial Ecosystem NEP Based on an Improved CASA Model

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Net ecosystem productivity (NEP) is a key indicator to describe terrestrial ecosystem functions and carbon sinks. The CASA model was improved by optimizing the parameters optimum temperature and maximum light use efficiency (${\varepsilon }_{\max ...
Siyi Qiu, Liang Liang, Qianjie Wang, Di Geng, Junjun Wu, Shuguo Wang, Bingqian Chen   +6 more
semanticscholar   +1 more source

Improved CASA model based on satellite remote sensing data: simulating net primary productivity of Qinghai Lake basin alpine grassland

Geoscientific Model Development, 2022
. The Carnegie–Ames–Stanford Approach (CASA) model is widely used to estimate vegetation net primary productivity (NPP) at regional scales. However, the CASA is still driven by multisource data, e.g.
Chengyong Wu, Kelong Chen, E. ChongYi, Xiaoni You, Dongcai He, Liang Hu, Baokang, Liu, Runke Wang, Yaya Shi, Chengxiu Li, Fumei Liu   +11 more
semanticscholar   +1 more source

Coffea-casa: an analysis facility prototype [PDF]

EPJ Web of Conferences, 2021
Data analysis in HEP has often relied on batch systems and event loops; users are given a non-interactive interface to computing resources and consider data event-by-event.
Matous Adamec, Garhan Attebury, Kenneth Bloom, B. Bockelman, C. Lundstedt, O. Shadura, John Thiltges   +6 more
semanticscholar   +1 more source

Crop Yield Estimation at Field Scales by Assimilating Time Series of Sentinel-2 Data Into a Modified CASA-WOFOST Coupled Model

IEEE Transactions on Geoscience and Remote Sensing, 2022
Rapidly and accurately estimating yields at field scales are very significant. Each type of currently yield estimation model has been well studied, yet all of them have certain limitations.
Fujiang Ji, J. Meng, Zhiqiang Cheng, Huiting Fang, Yanan Wang   +4 more
semanticscholar   +1 more source