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Gas infrastructure datasets are essential inputs for energy system planning to support strategic decision-making toward decarbonization. However, relevant data are typically scattered across heterogeneous sources, including geospatial…

Systems and Control · Electrical Eng. & Systems 2026-04-20 Marco Quantschnig , Yannick Werner , Sonja Wogrin , Thomas Klatzer

We introduce GalaxyGenius, a Python package designed to produce synthetic galaxy images tailored to different telescopes based on hydrodynamical simulations. Its implementation will support and advance research on galaxies in the era of…

Instrumentation and Methods for Astrophysics · Physics 2025-08-13 Xingchen Zhou , Hang Yang , Nan Li , Qi Xiong , Furen Deng , Xian-Min Meng , Renhao Ye , Shiyin Shen , Peng Wei , Qifan Cui , Zizhao He , Ayodeji Ibitoye , Chengliang Wei , Yuedong Fang

The SKA will be a unique instrument with which to study the evolution of the gas content of galaxies. A proposed deep (~8 Msec) 'pencil-beam' survey is simulated using recently updated specifications for SKA sensitivity and survey speed.…

Astrophysics · Physics 2009-06-23 Lister Staveley-Smith

The system allowing a user to operate with simulated curves of spectral energy distribution (SED) and to estimate ages and redshifts by photometric data at server {\bf sed.sao.ru} is described.

Diffuse ionized gas (DIG) in galaxies can be found in early-type galaxies, in bulges of late-type galaxies, in the interarm regions of galaxy disks, and outside the plane of such disks. The emission-line spectrum of the DIG can be confused…

Astrophysics of Galaxies · Physics 2021-04-07 N. Vale Asari , G. Stasińska

We study the effects of applying observational techniques to derive the properties of simulated galaxies, with the aim of making an unbiased comparison between observations and simulations. For our study, we used fifteen galaxies simulated…

Astrophysics of Galaxies · Physics 2016-07-25 Giovanni Guidi , Cecilia Scannapieco , C. Jakob Walcher , Anna Gallazzi

Text-to-image diffusion models are gradually introduced into computer graphics, recently enabling the development of Text-to-3D pipelines in an open domain. However, for interactive editing purposes, local manipulations of content through a…

Computer Vision and Pattern Recognition · Computer Science 2023-08-22 Aryan Mikaeili , Or Perel , Mehdi Safaee , Daniel Cohen-Or , Ali Mahdavi-Amiri

Cosmological simulations are a powerful tool to advance our understanding of galaxy formation and many simulations model key properties of real galaxies. A question that naturally arises for such simulations in light of high-quality…

Astrophysics of Galaxies · Physics 2025-09-10 Lingyi Zhou , Stefan T. Radev , William H. Oliver , Aura Obreja , Zehao Jin , Tobias Buck

Text-to-image diffusion models have recently received a lot of interest for their astonishing ability to produce high-fidelity images from text only. However, achieving one-shot generation that aligns with the user's intent is nearly…

Computer Vision and Pattern Recognition · Computer Science 2023-11-06 Manuel Brack , Felix Friedrich , Dominik Hintersdorf , Lukas Struppek , Patrick Schramowski , Kristian Kersting

Surgical simulation plays a pivotal role in training novice surgeons, accelerating their learning curve and reducing intra-operative errors. However, conventional simulation tools fall short in providing the necessary photorealism and the…

Computer Vision and Pattern Recognition · Computer Science 2025-06-16 Ssharvien Kumar Sivakumar , Yannik Frisch , Ghazal Ghazaei , Anirban Mukhopadhyay

We present a set of new analytic solutions aimed at self-consistently describing the spatially-averaged time evolution of the gas, stellar, metal, and dust content in an individual starforming galaxy hosted within a dark halo of given mass…

Astrophysics of Galaxies · Physics 2019-08-14 L. Pantoni , A. Lapi , M. Massardi , S. Goswami , L. Danese

Interstellar dust grains are responsible for modifying the spectral energy distribution (SED) of galaxies, both absorbing starlight at UV and optical wavelengths and converting this energy into thermal emission in the infrared. The detailed…

Cosmology and Nongalactic Astrophysics · Physics 2015-05-20 Fabio Fontanot , Rachel S. Somerville

A notorious problem in astronomy is the recovery of the true shape and spectral energy distribution (SED) of a galaxy despite attenuation by interstellar dust embedded in the same galaxy. This problem has been solved for a few hundred…

Astrophysics of Galaxies · Physics 2024-11-14 Jared Siegel , Peter Melchior

Diffusion models have been central to the development of recent image, video, and even text generation systems. They posses striking geometric properties that can be faithfully portrayed in low-dimensional settings. However, existing…

Machine Learning · Computer Science 2025-07-08 Alec Helbling , Duen Horng Chau

Bars are a key factor in the long-term evolution of spiral galaxies, in their unique role in redistributing angular momentum and transporting gas and stars on large scales. The Eris-suite simulations are cosmological zoom-in, N-body,…

Galaxies form out of small fluctuations in a smoothly expanding Universe. However, the initial gravitational collapse phase is accompanied by the formation of supermassive black holes and clusters of massive stars. Black holes and star…

Astrophysics · Physics 2009-11-10 Ralph S. Sutherland

We present an overview of the Middle Ages Galaxy Properties with Integral Field Spectroscopy (MAGPI) survey, a Large Program on ESO/VLT. MAGPI is designed to study the physical drivers of galaxy transformation at a lookback time of 3-4 Gyr,…

Diffusion models achieve state-of-the-art performance in generating realistic objects and have been successfully applied to images, text, and videos. Recent work has shown that diffusion can also be defined on graphs, including graph…

Machine Learning · Computer Science 2023-02-09 Alex M. Tseng , Nathaniel Diamant , Tommaso Biancalani , Gabriele Scalia

Manifold learning techniques for dynamical systems and time series have shown their utility for a broad spectrum of applications in recent years. While these methods are effective at learning a low-dimensional representation, they are often…

Machine Learning · Statistics 2021-07-30 Andrés F. Duque , Guy Wolf , Kevin R. Moon

Filtergraph is a web application being developed and maintained by the Vanderbilt Initiative in Data-intensive Astrophysics (VIDA) to flexibly and rapidly visualize a large variety of astronomy datasets of various formats and sizes. The…

Instrumentation and Methods for Astrophysics · Physics 2013-08-28 Dan Burger , Keivan G. Stassun , Joshua Pepper , Robert J. Siverd , Martin Paegert , Nathan M. De Lee , William H. Robinson