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Star formation is a multi-scale problem, and only global simulations that account for the connection from the molecular cloud scale gas flow to the accreting protostar can reflect the observed complexity of protostellar systems.…

Astrophysics of Galaxies · Physics 2023-07-28 Rami Al-Belmpeisi , Vito Tuhtan , Mikkel Bregning Christensen , Rajika L Kuruwita , Troels Haugbølle

Most stars form in clumpy and sub-structured clusters. These properties also emerge in hydro-dynamical simulations of star-forming clouds, which provide a way to generate realistic initial conditions for $N-$body runs of young stellar…

Astrophysics of Galaxies · Physics 2023-01-25 Stefano Torniamenti

Camera calibration is fundamental to 3D vision, and the choice of calibration pattern greatly affects the accuracy. To address aberration issue, star-shaped pattern has been proposed as alternatives to traditional checkerboard. However,…

Computer Vision and Pattern Recognition · Computer Science 2025-05-13 Zezhun Shi

Using cosmological hydrodynamical simulations, we investigate the effects of hierarchical aggregation on the triggering of star formation in galactic-like objects. We include a simple star formation model to transform the cold gas in dense…

Astrophysics · Physics 2016-08-30 Patricia B. Tissera

The performance of pre-trained masked diffusion models is often constrained by their sampling procedure, which makes decisions irreversible and struggles in low-step generation regimes. We introduce a novel sampling algorithm that works…

Stellar clusters are critical constituents within galaxies: they are the result of highest-density star formation, and through their spatially and temporally correlated feedback they regulate their host galaxy evolution. We present a novel…

Astrophysics of Galaxies · Physics 2024-08-12 Marta Reina-Campos , Oleg Y. Gnedin , Alison Sills , Hui Li

Twisting and stacking two copies of a 2D crystal can produce a long-wavelength periodic interference pattern known as a moir\'e pattern. Performing the same procedure with an aperiodic structure instead generates a single moir\'e spot at…

Disordered Systems and Neural Networks · Physics 2025-11-04 Aaron Dunbrack

We present STARFORGE (STAR FORmation in Gaseous Environments): a new numerical framework for 3D radiation MHD simulations of star formation that simultaneously follow the formation, accretion, evolution, and dynamics of individual stars in…

Instrumentation and Methods for Astrophysics · Physics 2024-02-29 Michael Y. Grudić , Dávid Guszejnov , Philip F. Hopkins , Stella S. R. Offner , Claude-André Faucher-Giguère

In this work, we present a novel method for extensive multi-scale generative terrain modeling. At the core of our model is a cascade of superresolution diffusion models that can be combined to produce consistent images across multiple…

Computer Vision and Pattern Recognition · Computer Science 2024-09-12 Ansh Sharma , Albert Xiao , Praneet Rathi , Rohit Kundu , Albert Zhai , Yuan Shen , Shenlong Wang

New models of star-forming filamentary clouds are presented, to quantify their properties and to predict their evolution. These 2D axisymmetric models describe filaments having no core, one low-mass core, and one cluster-forming core. They…

Astrophysics of Galaxies · Physics 2017-03-29 Philip C. Myers

Star formation by gravitational instabilities, sequential triggering, and turbulence triggering are briefly reviewed in order to compare the various mechanisms that are observed in main galaxy disks with those in the inner kiloparsec…

Astrophysics · Physics 2007-05-23 Bruce G. Elmegreen

We show how to apply tiling and pattern theory in the design of hollow-core photonic crystal fibers and guide light in multiple bandgaps. By combining two different glass apexes in a single [$3^6$;$3^2$.$4.3.4$] 2-uniform tiling,…

Optics · Physics 2019-10-24 Z. Montz , A. A. Ishaaya

The empirical laws of star formation suggest that galactic-scale gravity is involved, but they do not identify the actual triggering mechanisms for clusters in the final stages. Many other triggering processes satisfy the empirical laws…

Astrophysics · Physics 2009-11-07 Bruce G. Elmegreen

We use a high-resolution grid-based hydrodynamics method to simulate the multi-phase interstellar medium in a Milky Way-size quiescent disk galaxy. The models are global and three-dimensional, and include a treatment of star formation and…

Astrophysics · Physics 2009-11-13 Elizabeth J. Tasker , Greg L. Bryan

Point clouds are commonly used in various practical applications such as autonomous driving and the manufacturing industry. However, these point clouds often suffer from incompleteness due to limited perspectives, scanner resolution and…

Computer Vision and Pattern Recognition · Computer Science 2024-07-09 Fan Duan , Jiahao Yu , Li Chen

Placing signal templates (grid points) as efficiently as possible to cover a multi-dimensional parameter space is crucial in computing-intensive matched-filtering searches for gravitational waves, but also in similar searches in other…

Instrumentation and Methods for Astrophysics · Physics 2015-06-23 Henning Fehrmann , Holger J. Pletsch

This chapter discusses the use and possibilities of optical and infrared interferometry to study star formation. The chapter starts with a brief overview of the star formation process and highlights the open questions from an observational…

Solar and Stellar Astrophysics · Physics 2015-11-20 Rene Oudmaijer , Willem-Jan de Wit

Crystal structures can be viewed as assemblies of space-filling polyhedra, which play a critical role in determining material properties such as ionic conductivity and dielectric constant. However, most conventional crystal structure…

Materials Science · Physics 2026-03-20 Tomoyasu Yokoyama , Kazuhide Ichikawa , Hisashi Naito

Most stars in the Galaxy are believed to be formed within star clusters from collapsing molecular clouds. However, the complete process of star formation, from the parent cloud to a gas-free star cluster, is still poorly understood. We…

Astrophysics of Galaxies · Physics 2017-10-23 Elena Gavagnin , Andreas Bleuler , Joakim Rosdahl , Romain Teyssier

A fundamental procedure in the analysis of massive datasets is the construction of similarity graphs. Such graphs play a key role for many downstream tasks, including clustering, classification, graph learning, and nearest neighbor search.…

Machine Learning · Computer Science 2023-01-11 CJ Carey , Jonathan Halcrow , Rajesh Jayaram , Vahab Mirrokni , Warren Schudy , Peilin Zhong
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