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Related papers: HIGAN: Cosmic Neutral Hydrogen with Generative Adv…

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Hydrogen, the most abundant element in the universe, is crucial for understanding galaxy formation and evolution. The 21 cm neutral atomic hydrogen - HI spectral line maps the gas kinematics within galaxies, providing key insights into…

Using a spectral stacking technique, we measure the neutral hydrogen (HI) properties of a sample of galaxies at $z < 0.11$ across 35 pointings of the Westerbork Synthesis Radio Telescope (WSRT). The radio data contains 1,895 galaxies with…

Simulations of the dark matter distribution throughout the Universe are essential in order to analyse data from cosmological surveys. $N$-body simulations are computationally expensive, and many cheaper alternatives (such as lognormal…

Cosmology and Nongalactic Astrophysics · Physics 2025-01-07 Prabh Bhambra , Benjamin Joachimi , Ofer Lahav , Davide Piras

The prospect of quantum computing with a potential exponential speed-up compared to classical computing identifies it as a promising method in the search for alternative future High Energy Physics (HEP) simulation approaches. HEP…

Quantum Physics · Physics 2024-04-30 Florian Rehm , Sofia Vallecorsa , Michele Grossi , Kerstin Borras , Dirk Krücker

Space exploration has always been a source of inspiration for humankind, and thanks to modern telescopes, it is now possible to observe celestial bodies far away from us. With a growing number of real and imaginary images of space available…

Computer Vision and Pattern Recognition · Computer Science 2021-11-24 Davide Coccomini , Nicola Messina , Claudio Gennaro , Fabrizio Falchi

This paper is the first in a series presenting a sample of 29 late-type dwarf galaxies, observed with the Westerbork Synthesis Radio Telescope (WSRT) in the 21-cm line of neutral atomic hydrogen (HI). The sample itself, the HI content of…

Astrophysics · Physics 2009-11-07 J. M. Stil , F. P. Israel

We examine the global HI properties of galaxies in quarter-billion particle cosmological simulations using Gadget-2, focusing on how galactic outflows impact HI content. We consider four outflow models, including a new one (ezw) motivated…

Cosmology and Nongalactic Astrophysics · Physics 2015-06-15 Romeel Davé , Neal Katz , Benjamin D. Oppenheimer , Juna A. Kollmeier , David H. Weinberg

The large-scale structure of the Universe supplies crucial information about the physical processes at play at early times. Unresolved maps of the intensity of 21 cm emission from neutral hydrogen HI at redshifts z~1-5 are the best hope of…

Cosmology and Nongalactic Astrophysics · Physics 2013-10-28 Stefano Camera , Mario G. Santos , Pedro G. Ferreira , Luis Ferramacho

Large inhomogeneities in neutral hydrogen in the universe can be detected at redshifts $z \leq 10$ using the redshifted 21cm line emission from atomic hydrogen. This paper reviews the expected evolution of neutral hydrogen and presents…

Astrophysics · Physics 2007-05-23 J. S. Bagla

The redshifted 21-cm signal of neutral Hydrogen is a promising probe into the period of evolution of our Universe when the first stars were formed (Cosmic Dawn), to the period where the entire Universe changed its state from being…

Cosmology and Nongalactic Astrophysics · Physics 2021-01-26 Madhurima Choudhury , Atrideb Chatterjee , Abhirup Datta , Tirthankar Roy Choudhury

This paper presents a methodology and workflow that overcome the limitations of the conventional Generative Adversarial Networks (GANs) for geological facies modeling. It attempts to improve the training stability and guarantee the…

Machine Learning · Computer Science 2019-09-25 Lingchen Zhu , Tuanfeng Zhang

Observations of 21-cm radio emission by neutral hydrogen at redshifts z ~ 0.5 to ~ 2.5 are expected to provide a sensitive probe of cosmic dark energy. This is particularly true around the onset of acceleration at z ~ 1, where traditional…

Cosmology and Nongalactic Astrophysics · Physics 2010-07-22 Tzu-Ching Chang , Ue-Li Pen , Kevin Bandura , Jeffrey B. Peterson

At present neutral atomic hydrogen (HI) gas in galaxies at redshifts above $z \sim 0.3$ (the extent of 21-cm emission surveys in individual galaxies) and below $z \sim 1.7$ (where the Lyman-$\alpha$ line is not observable with ground-based…

In the recent years Generative Adversarial Networks (GANs) have demonstrated significant progress in generating authentic looking data. In this work we introduce our simple method to exploit the advancements in well established image-based…

Machine Learning · Computer Science 2019-10-31 Eoin Brophy , Zhengwei Wang , Tomas E. Ward

Traditional generative adversarial networks (GAN) and many of its variants are trained by minimizing the KL or JS-divergence loss that measures how close the generated data distribution is from the true data distribution. A recent advance…

Computer Vision and Pattern Recognition · Computer Science 2017-04-18 Felix Juefei-Xu , Vishnu Naresh Boddeti , Marios Savvides

Upcoming galaxy surveys with the SKA Observatory will detect neutral hydrogen (HI) across unprecedented volumes, and their scientific return will crucially depend on predictive models for HI observables. In this work, we present a framework…

Cosmology and Nongalactic Astrophysics · Physics 2026-02-25 Joël Mayor , Marta Spinelli , Gabriella De Lucia , Robert Yates , Alexandre Refregier , Fabio Fontanot , Lizhi Xie , Michaela Hirschmann

Generative Adversarial Networks (GANs) have been successful in producing outstanding results in areas as diverse as image, video, and text generation. Building on these successes, a large number of empirical studies have validated the…

Machine Learning · Computer Science 2021-06-21 Gérard Biau , Maxime Sangnier , Ugo Tanielian

We present the largest homogeneous survey of $z>4.4$ damped Lyman-$\alpha$ systems (DLAs) using the spectra of 163 QSOs that comprise the Giant Gemini GMOS (GGG) survey. With this survey we make the most precise high-redshift measurement of…

Large inhomogeneities in neutral hydrogen in the universe can be detected at redshifts $z \leq 10$ using the redshifted 21 cm line emission. We use cosmological N-Body simulations for dark matter and a simple model for baryonic collapse to…

Astrophysics · Physics 2015-06-24 J. S. Bagla , Biman Nath , T. Padmanabhan

Generative modeling over natural images is one of the most fundamental machine learning problems. However, few modern generative models, including Wasserstein Generative Adversarial Nets (WGANs), are studied on manifold-valued images that…

Computer Vision and Pattern Recognition · Computer Science 2019-01-04 Zhiwu Huang , Jiqing Wu , Luc Van Gool