Results 81 to 90 of about 107,385 (182)

Kinematics of Supernova Remnants Using Multiepoch Maximum Likelihood Estimation: Chandra Observation of Cassiopeia A as an Example

The Astrophysical Journal
Decadal changes in a nearby supernova remnant (SNR) were analyzed using a multiepoch maximum likelihood estimation (MLE) approach. To achieve greater accuracy in capturing the dynamics of SNRs, kinematic features and point-spread function effects were ...
Yusuke Sakai, Shinya Yamada, Toshiki Sato, Ryota Hayakawa, Nao Kominato   +4 more
doaj   +1 more source

Deep Investigation of Neutral Gas Origins (DINGO): Options for the Processing and Storage of Radio Astronomy Data for robust Deep Spectral Line Imaging in the SKA-Era using uv-Grids

The next generation of radio astronomy telescopes are challenging existing data analysis paradigms, as they have an order of magnitude more antennas and larger bandwidth. Foremost amongst these are deep spectral line surveys, because these have the largest number of epochs and spectral channels per dataset.
Williamson, Alexander, Dodson, Richard, Elahi, Pascal J., Rhee, Jonghwan, Gong, Qian, Meyer, Martin, Rozgonyi, Kristof, Wicenec, Andreas, Chen, Jieyang, Podhorszki, Norbert, Klasky, Scott, Mitchell, Daniel   +11 more
openaire   +2 more sources

Image Deconvolution and Point-spread Function Reconstruction with STARRED: A Wavelet-based Two-channel Method Optimized for Light-curve Extraction

The Astronomical Journal
We present starred , a point-spread function (PSF) reconstruction, two-channel deconvolution, and light-curve extraction method designed for high-precision photometric measurements in imaging time series.
Martin Millon, Kevin Michalewicz, Frédéric Dux, Frédéric Courbin, Philip J. Marshall   +4 more
doaj   +1 more source

CDN-Net: Faint Celestial Target Detection Based on Densely Nested Hierarchical Network

The Astronomical Journal
The detection of celestial objects in ground-based wide-field optical telescope images serves as the foundational step for subsequent celestial analysis tasks.
Guo Chen, Bindang Xue, Xinyang Li, Junzhe Cao, Jihao Yin   +4 more
doaj   +1 more source

Astrophysics datamining in the classroom: Exploring real data with new software tools and robotic telescopes

, 2012
Within the efforts to bring frontline interactive astrophysics and astronomy to the classroom, the Hands on Universe (HOU) developed a set of exercises and platform using real data obtained by some of the most advanced ground and space observatories. The
Almeida, Maria L. T., Barbosa, Domingos, Boudier, Thomas, Delva, Doran, Rosa, Ferlet, Roger, Gomez, Edward, Melchior, Anne-Laure, Pacôme, Pennypacker, Carl, Roberts, Sarah, Roche, Paul   +11 more
core  

Insights into Galaxy Evolution from Interpretable Sparse Feature Networks

The Astrophysical Journal
Galaxy appearances reveal the physics of how they formed and evolved. Machine learning (ML) models can now exploit galaxies’ information-rich morphologies to predict physical properties directly from image cutouts. Learning the relationship between pixel-
John F. Wu
doaj   +1 more source

Astronomical Image Compression Techniques Based on ACC and KLT Coder

Acta Polytechnica, 2011
This paper deals with a compression of image data in applications in astronomy. Astronomical images have typical specific properties — high grayscale bit depth, size, noise occurrence and special processing algorithms.
J. Schindler, P. Páta, M. Klíma, K. Fliegel   +3 more
doaj  

Science Product Pipelines and Archive Architecture for the DART Mission

The Planetary Science Journal
On 2022 September 26, the Double Asteroid Redirection Test (DART) mission was the first successful demonstration of a kinetic impactor for planetary defense.
C. Dany Waller, Raymond C. Espiritu, Calley Tinsman, Hari Nair, Carolyn M. Ernst, R. Terik Daly, Olivier S. Barnouin, Angelo Zinzi, Nancy L. Chabot, Andrew S. Rivkin, Nicholas Moskovitz, David Osip, Tim Lister, Eileen Ryan, William Ryan   +14 more
doaj   +1 more source

exoALMA. XXIII. Estimating Disk and Planet Properties from Dust Morphologies with DBNets 2.0

The Astrophysical Journal Letters
The exoALMA large program provided an unprecedented view of the morphologies and kinematics of 15 circumstellar disks, offering a biased but homogenous and well-characterized sample for population-level analysis.
Alessandro Ruzza, Giuseppe Lodato, Giovanni Rosotti, Philip Armitage, Stefano Facchini, Sean M. Andrews, Jaehan Bae, Marcelo Barraza-Alfaro, Myriam Benisty, Pietro Curone, Daniele Fasano, Cassandra Hall, Thomas Hilder, Andrés F. Izquierdo, Cristiano Longarini, François Ménard, Christophe Pinte, Jochen Stadler, Richard Teague, Jason Terry, David J. Wilner, Andrew J. Winter, Tomohiro C. Yoshida, Brianna Zawadzki   +23 more
doaj   +1 more source

Near-real-time 3D Reconstruction of the Solar Coronal Parameters Based on the Magnetohydrodynamic Algorithm outside a Sphere Using Deep Learning

The Astrophysical Journal Supplement Series
For the first time, we generate solar coronal parameters (density, magnetic field, radial velocity, and temperature) on a near-real-time basis by deep learning.
Sumiaya Rahman, Hyun-Jin Jeong, Ashraf Siddique, Yong-Jae Moon, Bendict Lawrance   +4 more
doaj   +1 more source