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High resolution imaging is achieved using increasingly larger apertures and successively shorter wavelengths. Optical aperture synthesis is an important high-resolution imaging technology used in astronomy. Conventional long baseline…

We introduce Interleaved Gibbs Diffusion (IGD), a novel generative modeling framework for discrete-continuous data, focusing on problems with important, implicit and unspecified constraints in the data. Most prior works on discrete and…

Machine Learning · Computer Science 2025-07-04 Gautham Govind Anil , Sachin Yadav , Dheeraj Nagaraj , Karthikeyan Shanmugam , Prateek Jain

We have constructed a grid of photoionization models of spherical, elliptical and bipolar planetary nebulae. Assuming different velocity fields, we have computed line profiles corresponding to different orientations, slit sizes and…

Astrophysics · Physics 2008-02-01 C. Morisset , G. Stasinska

We present a survey of the photometric and kinematic properties of 39 nearby, nearly face-on disk galaxies. Our approach exploits echelle-resolution integral-field spectroscopy of the H-alpha regions, obtained with DensePak on the WIYN 3.5m…

The 2nd generation VLTI instrument GRAVITY is a two-field infrared interferometer operating in the K band between 1.97 and 2.43 $\mu$m with either the four 8 m or the four 1.8 m telescopes of the Very Large Telescope (VLT). Beams collected…

Sub-milliarcsecond imaging of nearby main sequence stars and binary systems can provide critical information on stellar phenomena such as rotational deformation, accretion effects, and the universality of starspot (sunspot) cycles.…

Instrumentation and Methods for Astrophysics · Physics 2018-01-22 Dave Kieda , Nolan Matthews

We present photoionization models accounting for both photoelectric and resonant absorption. Resonance absorption lines from C, O, Ne, Mg, Si S and Fe between 0.1 and 10 keV are treated. In particular we consider the complex of almost 60…

Astrophysics · Physics 2009-10-31 Fabrizio Nicastro , Fabrizio Fiore , Giorgio Matt

Intrinsic alignment (IA) of galaxies is a challenging source of contamination in the Cosmic shear (GG) signals. The galaxy intrinsic ellipticity-gravitational shear (IG) correlation is generally the most dominant component of such…

In this paper we present a classification of emission-line galaxies at intermediate and high redshifts (0.52.5 for near-infrared spectra), using the Dn(4000) index as a supplementary diagnostic. Our goal is to complement the diagnostic…

Cosmology and Nongalactic Astrophysics · Physics 2011-06-16 Julien Marocco , Emeric Hache , Fabrice Lamareille

External optical feedback via Rayleigh scattering from an integrated microresonator or an optical fiber has been demonstrated to significantly narrow the intrinsic linewidth of semiconductor lasers. Wavelength matching between the lasing…

Medical semantic-mask synthesis boosts data augmentation and analysis, yet most GAN-based approaches still produce one-to-one images and lack spatial consistency in complex scans. To address this, we propose AnatoMaskGAN, a novel synthesis…

Image and Video Processing · Electrical Eng. & Systems 2025-08-18 Zonglin Wu , Yule Xue , Qianxiang Hu , Yaoyao Feng , Yuqi Ma , Shanxiong Chen

The possibility of significant systematic errors due to the use of 1D homogeneous atmospheres in lithium-abundance determinations of cool stars motivates a study of non-local-thermodynamic-equilibrium (NLTE) effects on Li I line formation…

Astrophysics · Physics 2009-10-30 Dan Kiselman

CONTEXT: High-resolution spectroscopy across spatially resolved stellar surfaces aims at obtaining spectral-line profiles that are free from rotational broadening; the gradual changes of these profiles from disk center toward the stellar…

Solar and Stellar Astrophysics · Physics 2017-09-20 Dainis Dravins , Hans-Günter Ludwig , Erik Dahlén , Hiva Pazira

Training of semantic segmentation models for material analysis requires micrographs and their corresponding masks. It is quite unlikely that perfect masks will be drawn, especially at the edges of objects, and sometimes the amount of data…

Computer Vision and Pattern Recognition · Computer Science 2024-08-02 Matias Oscar Volman Stern , Dominic Hohs , Andreas Jansche , Timo Bernthaler , Gerhard Schneider

Monocular depth estimation is fundamental for 3D scene understanding and downstream applications. However, even under the supervised setup, it is still challenging and ill-posed due to the lack of full geometric constraints. Although a…

Computer Vision and Pattern Recognition · Computer Science 2023-04-14 Luigi Piccinelli , Christos Sakaridis , Fisher Yu

Aims: Integral Field Spectroscopy (IFS) is a powerful approach for the study of nearby galaxies since it enables a detailed analysis of their resolved physical properties. Here we present the sample of nearby galaxies selected to exploit…

Cosmology and Nongalactic Astrophysics · Physics 2015-05-28 E. Marmol-Queralto , S. F. Sanchez , R. A. Marino , D. Mast , K. Viironen , A. Gil de Paz , J. Iglesias-Paramo , F. F. Rosales-Ortega , J. M. Vilchez

The optical surface brightness of dark nebulae is mainly due to scattering of integrated starlight by classical dust grains. It contains information on the impinging interstellar radiation field, cloud structure, and grain scattering…

Astrophysics of Galaxies · Physics 2016-12-21 K. Lehtinen , K. Mattila

Understanding the connection between active galactic nuclei and star-formation (the AGN-SF connection) is one of the longest standing problems in modern astrophysics. In the age of large Integral Field Unit (IFU) surveys, studies of the…

Astrophysics of Galaxies · Physics 2026-03-11 Aman Chopra , Henry R. M. Zovaro , Rebecca L. Davies

Deep neural networks (DNNs) have recently become the leading method for low-light image enhancement (LLIE). However, despite significant progress, their outputs may still exhibit issues such as amplified noise, incorrect white balance, or…

Computer Vision and Pattern Recognition · Computer Science 2025-04-17 Zhihua Wang , Yu Long , Qinghua Lin , Kai Zhang , Yazhu Zhang , Yuming Fang , Li Liu , Xiaochun Cao

The advancements in stellar spectroscopy data acquisition have made it necessary to accomplish similar improvements in efficient data analysis techniques. Current automated methods for analyzing spectra are either (a) data-driven, which…

Solar and Stellar Astrophysics · Physics 2021-01-22 Teaghan O'Briain , Yuan-Sen Ting , Sébastien Fabbro , Kwang M. Yi , Kim Venn , Spencer Bialek