Results 21 to 30 of about 12,482 (163)

Reinforcement Learning for Data-driven Workflows in Radio Interferometry. I. Principal Demonstration in Calibration

open access: yesThe Astronomical Journal
Radio interferometry is an observational technique used to study astrophysical phenomena. Data gathered by an interferometer require substantial processing before astronomers can extract scientific information from them.
Brian M. Kirk   +2 more
doaj   +1 more source

As Simple as Possible but No Simpler: Optimizing the Performance of Neural Net Emulators for Galaxy SED Fitting

open access: yesThe Astrophysical Journal, 2023
Artificial neural network emulators have been demonstrated to be a very computationally efficient method to rapidly generate galaxy spectral energy distributions, for parameter inference or otherwise.
Elijah P. Mathews   +9 more
doaj   +1 more source

Computational Fluid Dynamics-Based Systems Engineering for Ground-Based Astronomy

open access: yesComputation
This paper presents the state-of-the-art techniques employed in aerothermal modeling to respond to the current observatory design challenges, particularly those of the next generation of extremely large telescopes (ELTs), such as the European ELT, the ...
Konstantinos Vogiatzis   +3 more
doaj   +1 more source

Computer Algebra Manipulations in Astronomy [PDF]

open access: yes, 2004
The specialized Poisson Series Processors (PSPs) are proposed. They are a typical software for the implementation of analytical algorithms of celestial mechanics. The PSPs are designed for manipulating long Poisson (polynomial-trigonometric) and echeloned series with the rational, floating-point or arbitrary length (infinite precision) coefficients and
openaire   +1 more source

RAMSES-yOMP: Performance Optimizations for the Astrophysical Hydrodynamic Simulation Code RAMSES

open access: yesThe Astrophysical Journal
Developing an efficient code for large, multiscale astrophysical simulations is crucial in preparing for the upcoming era of exascale computing. RAMSES is an astrophysical simulation code that employs parallel processing based on the message-passing ...
San Han   +5 more
doaj   +1 more source

Accelerated and Energy-Efficient Galaxy Detection: Integrating Deep Learning with Tensor Methods for Astronomical Imaging

open access: yesUniverse
Addressing the astronomical challenges posed by the interplay of data volume, AI sophistication, and energy consumption is crucial for the future of astronomy. As astronomical surveys continue to produce vast amounts of data, the computational and energy
Humberto Farias   +3 more
doaj   +1 more source

Fitting a function to time-dependent ensemble averaged data

open access: yesScientific Reports, 2018
Time-dependent ensemble averages, i.e., trajectory-based averages of some observable, are of importance in many fields of science. A crucial objective when interpreting such data is to fit these averages (for instance, squared displacements) with a ...
Karl Fogelmark   +3 more
doaj   +1 more source

Computer as a Tool in Astronomy Teaching [PDF]

open access: yesInternational Astronomical Union Colloquium, 1998
As yet, astronomy, the most ancient of all sciences, surprisingly is not included in French secondary science classes. Recent trends in favour of a more attractive and motivating scientific education have taken it up.Astronomy has, at all times, been arising curiosity, and now provides a privileged field to scientific approach :•Observation of the ...
openaire   +1 more source

Multisegment Overlap–Save Method for Coherent Dedispersion

open access: yesThe Astronomical Journal
Dispersion occurs due to the interstellar medium, which functions as a prism and causes different time delays in radio waves of varying frequencies. The coherent dedispersion technique is often used in pulsar and fast radio burst observations to mitigate
Chenye Zhou   +5 more
doaj   +1 more source

Astrolabe: Curating, Linking, and Computing Astronomy’s Dark Data [PDF]

open access: yesThe Astrophysical Journal Supplement Series, 2018
Abstract Where appropriate repositories are not available to support all relevant astronomical data products, data can fall into darkness: unseen and unavailable for future reference and reuse. Some data in this category are legacy or old data, but newer data sets are also often uncurated and could remain dark.
P. Bryan Heidorn   +2 more
openaire   +2 more sources

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