The Predictive Power of Computational Astrophysics as a Discovery Tool (Iau S362)

ISBN-13: 9781108490665 / Angielski / Twarda / 2023 / 400 str.

Bisikalo, Dmitry

Opis

IAU S362 summarizes developments in computational astrophysics methods, hardware, algorithms, software, and new technologies.

Spis treści

Early structure formation in the THESAN radiation-magneto-hydrodynamics simulations Enrico Garaldi; Simulations of dark matter with frequent self-interactions Moritz Fischer; Simulations of the reionization of the clumpy intergalactic medium with a novel particle-based two-moment radiative transfer scheme Tsang Keung Chan; Favoured inflationary models by SFC baryogenesis Mariana Panayotova; The effect of non-Gaussian primordial perturbations on large-scale structure Greco Peña; The complex evolution of supermassive black holes in cosmological simulations Peter Johansson; Nature of star formation in first galaxies Mahavir Sharma; The formation of Supersonically Induced Gas Objects (SIGOs) with H2 cooling Yurina Nakazato; An idealized setup for cosmological evolution of baryonic gas in isolated halos Shashank Dattathri; Detecting cosmic filamentary network with stochastic Bisous mode Moorits Mihkel Muru; Absorption spectra from galactic wind models: a framework to link PLUTO simulations to TRIDENT Benedetta Casavecchia; Hydrodynamic simulations and time-dependent photoionization modeling of starburst-driven superwinds Ashkbiz Danehkar; Numerical modelling of X-shaped radio galaxies using back-flow model Gourab Giri; Radiation magnetohydrodynamic simulations of soft x-ray emitting regions in active galactic nuclei Taichi Igarashi; Cold gas in outflow: Evidence for delayed positive AGN feedback Yu Qiu; A new code for relativistic hydrodynamics and its application to FR II radio jets Jeongbhin Seo; Studying magnetic field amplification in interacting galaxies using numerical simulations Simon Selg; X-ray spectral and image spatial models of NGC 3081 with Chandra data Iryna Vavilova; Simulating star formation in spiral galaxies Steven Rieder; The CNN classification of galaxies by their image morphological peculiarities Iryna Vavilova; Velocity-space substructures and bar resonances in an N-body Milky Way Tetsuro Asano; Fate of escaping orbits in barred galaxies Debasish Mondal; Dynamical evolution modeling of the Collinder 135 & UBC 7 binary star cluster Maryna Ishchenko; Multiparticle collision simulations of dense stellar systems and plasmas Pierfrancesco Di Cintio; A novel generative method for star clusters from hydrodynamical simulations Stefano Torniamenti; Stellar population photometric synthesis with AI of S-PLUS galaxies Vitor Cernic; Clustering stellar pairs to detect extended stellar structures Sergey Sapozhnikov; Kinetic modeling of auroral events at solar and extrasolar planets Valery Shematovich; Stellar activity effects on the atmospheric escape of hot Jupiters Hiroto Mitani; Study of the non-thermal atmospheric loss for exoplanet π Men c Anastasia Avtaeva; Multi-component MHD model for hydrogen-helium extended envelope of hot Jupiter Yuliya Gladysheva; Modeling stellar jitter for the detection of Earth-mass exoplanets via precision radial velocity measurements Samuel Granovsky; Thermal atmospheric escape of close-in exoplanets Eugenia Kalinicheva; Inference of magnetic fields and space weather hazards of rocky extrasolar planets from a dynamical geophysical model Varnana M. Kumar; Hydrodynamical simulations of misaligned accretion discs in binary systems: Companions tear discs Suzan Dogan; Hybrid magnetic structures around spinning black holes connected to a surrounding accretion disk Ileyk El Mellah; Mass ejection from neutron-star mergers Masaru Shibata; Merging of spinning binary black holes in globular clusters Margaryta Sobolenko; Predicting the expansion of supernova shells using deep learning toward highly resolved galaxy simulations Keiya Hirashima; Toward realistic models of core collapse supernovae: A brief review Anthony Mezzacappa; Hot spot drift in synchronous and asynchronous polars: synthesis of light curves Andrey Sobolev; The predictive power of numerical simulations in the study accretion an