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A Sourcebook for the Worldwide Discovery of a Creative Organic Universe
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III. Ecosmos: A Revolutionary Fertile, Habitable, Solar-Bioplanet, Incubator Lifescape

B. Our Whole Scale EcosmoVerse Description Project

Vogelsberger, Mark, et al. Cosmological Simulations of Galaxy Formation. Nature Reviews Physics. 2/1, 2020. As a window upon what a worldwise sapiensphere is now achieving, MIT, University of Bologna, University of Florida and Leibniz Institute, Potsdam astrophysicists post a state of the universe survey with Cosmological Model, Initial Conditions, Dark Matter, Halo Mass Function, Gravitational Dynamics, Baryonic Physics headings and topics. Colorful graphic displays show off galactic webworks and topologies from black holes to radiation fields and stellar nurseries. A century or so after Lemaitre, Shapley, Hubble and others glimpsed myriad galaxies, a global persona now proceeds with all manner of their past, present, and future description. Whomever are we phenomenal peoples altogether to be actually doing this? See also The Expansion of the Universe is Faster than Expected by Nobel laureate Adam Riess in this issue.

Over the last decades, cosmological simulations of galaxy formation have been instrumental for advancing our understanding of their structures in the Universe. These simulations follow the non-linear evolution of galaxies modeling a variety of physical processes over a wide range of scales. This better understanding of the physics that shape galaxies, along with numerical methods, and computing power can now reveal many observed properties along with dark matter, dark energy, and ordinary matter in an expanding space-time. This review presents an overview of the methodology of cosmological simulations of galaxy formation and their different applications. (Abstract excerpt)

Wilding, Georg, et al. Persistent Homology of the Cosmic Web. arXiv:2011.12851. For a paper to appear in the MNRAS, University of Groningen, Duke Kunshan University, China and Perimeter Institute, Canada astrophysicists cite a Hierarchical Topology in ΛCDM Cosmologies (see below) as it becomes lately realized (after finding all the parts) that the celestial raiment is suffused with interconnective networks amenable to geometric mathematics as everywhere else. Just as quantum phenomena, life’s evolution and neural brains, so the whole ecosmos appears to be similarly graced and unified. We note, in this fateful year, how awesome and indicative is it that we collaborative, valiant peoples can consider and attain such findings.

Using a set of ΛCDM simulations of cosmic structure formation, we study the evolving connectivity and changing topological structure of the cosmic web. The cosmic web READ topology can be quantified by the evolution of Betti number curves and feature persistence diagrams of the three structural classes: matter concentrations, filaments and tunnels, and voids. By viewing cosmic webs over time time, the link between their multiscale topology and the hierarchical buildup of cosmic structure can be constructed. The sharp apexes in the diagrams are then related to key transitions in the formation process. A self-similar character is found due to the cosmic web's hierarchical buildup. (Abstract excerpt)

The ΛCDM (Lambda cold dark matter) model is a cosmic representation wherein the universe contains three major components: a cosmological constant denoted by the Greek Λ and associated with dark energy; the postulated cold dark matter;; and third, ordinary matter. (Wilipedia)

Wolchover, Natalie. Physicists Aim to Classify All Possible Phases of Matter. Quanta. January 3, 2018. While collider physics seems to have hit bottom, a novel 2010s quantum mathematics has begun to quantify an innate cosmic presence of topological forms. The Nobel Physics prize (see herein) for 2016 was given for incipient notices of a finely structured universe. The award-winning science writer provides an initial scenario to date by way of interviews with contributors such as Xie Chen (CalTech), Michael Zaletel (Princeton), Ashvin Vishwanath (Harvard), Xiao-Gang Wen (MIT), and especially Jeongwan Haah (Microsoft). Scan entries in this section for examples of their theoretical work, along with other views.

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