Zobrazeno 1 - 10
of 319
pro vyhledávání: '"Naiman J"'
Autor:
Borkiewicz, Kalina, Jensen, Eric, Miao, Yiwen, Levy, Stuart, Naiman, J. P., Carpenter, Jeff, Isaacs, Katherine E.
Quantifying the global reach of planetarium dome shows presents significant challenges due to the lack of standardized viewership tracking mechanisms across diverse planetarium venues. We present an analysis of the global impact of dome shows, presen
Externí odkaz:
http://arxiv.org/abs/2411.08045
Autor:
Iyer, Kartheik G., Yunus, Mikaeel, O'Neill, Charles, Ye, Christine, Hyk, Alina, McCormick, Kiera, Ciuca, Ioana, Wu, John F., Accomazzi, Alberto, Astarita, Simone, Chakrabarty, Rishabh, Cranney, Jesse, Field, Anjalie, Ghosal, Tirthankar, Ginolfi, Michele, Huertas-Company, Marc, Jablonska, Maja, Kruk, Sandor, Liu, Huiling, Marchidan, Gabriel, Mistry, Rohit, Naiman, J. P., Peek, J. E. G., Polimera, Mugdha, Rodriguez, Sergio J., Schawinski, Kevin, Sharma, Sanjib, Smith, Michael J., Ting, Yuan-Sen, Walmsley, Mike
The exponential growth of astronomical literature poses significant challenges for researchers navigating and synthesizing general insights or even domain-specific knowledge. We present Pathfinder, a machine learning framework designed to enable lite
Externí odkaz:
http://arxiv.org/abs/2408.01556
Scientific articles published prior to the "age of digitization" in the late 1990s contain figures which are "trapped" within their scanned pages. While progress to extract figures and their captions has been made, there is currently no robust method
Externí odkaz:
http://arxiv.org/abs/2209.04460
Autor:
Borkiewicz, Kalina, Shah, Viraj, Naiman, J. P., Shen, Chuanyue, Levy, Stuart, Carpenter, Jeff
Artifact removal is an integral component of cinematic scientific visualization, and is especially challenging with big datasets in which artifacts are difficult to define. In this paper, we describe a method for creating cloud artifact masks which c
Externí odkaz:
http://arxiv.org/abs/2110.13819
Autor:
Burkhart, B., Appel, S., Bialy, S., Cho, J., Christensen, A. J., Collins, D., Federrath, C., Fielding, D., Finkbeiner, D., Hill, A. S., Ibanez-Mejia, J. C., Krumholz, M. R., Lazarian, A., Li, M., Mocz, P., Mac Low, M. -M., Naiman, J., Portillo, S. K. N., Shane, B., Slepian, Z., Yuan, Y.
Turbulence is a key process in many fields of astrophysics. Advances in numerical simulations of fluids over the last several decades have revolutionized our understanding of turbulence and related processes such as star formation and cosmic ray prop
Externí odkaz:
http://arxiv.org/abs/2010.11227
Autor:
Aleo, Patrick D., Lock, Simon J., Cox, Donna J., Levy, Stuart A., Naiman, J. P., Christensen, A. J., Borkiewicz, Kalina, Patterson, Robert
Scientific visualization tools are currently not optimized to create cinematic, production-quality representations of numerical data for the purpose of science communication. In our pipeline \texttt{Estra}, we outline a step-by-step process from a ra
Externí odkaz:
http://arxiv.org/abs/2006.00084
Akademický článek
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We have entered the era of large multidimensional datasets represented by increasingly complex data structures. Current tools for scientific visualization are not optimized to efficiently and intuitively create cinematic production quality, time-evol
Externí odkaz:
http://arxiv.org/abs/1808.02860
The rapid growth in scale and complexity of both computational and observational astrophysics over the past decade necessitates efficient and intuitive methods for examining and visualizing large datasets. Here we discuss some newly developed tools t
Externí odkaz:
http://arxiv.org/abs/1701.01730
Autor:
Naiman, J. P.
The rapid growth in scale and complexity of both computational and observational astrophysics over the past decade necessitates efficient and intuitive methods for examining and visualizing large datasets. Here, I present {\it AstroBlend}, an open-so
Externí odkaz:
http://arxiv.org/abs/1602.03178