III. Ecosmos: A Revolutionary Fertile, Habitable, Solar-Bioplanet, Incubator Lifescape

B. Our Whole Scale EcosmoVerse Description Project

Urbanowski, K.. A Universe Born in a Metastable False Vacuum State Need Not Die. arXiv:2207.10965. We enter this far-ranging contribution by a University of Zielona Gora, Poland physicist among a flow of recent studies to register that our historic Earthuman, person/planet, scientific endeavors have just now gained abilities to hypothetically contemplate an entire ecosmos as a unitary whole. See also Quintessential Cosmological Tensions by Arslan Adil and Andreas Albrecht (UC Davis) at 2207.10235. Our planatural view is note how fantastic it is that over 400 moon to multiverse years a most minute but novice Earthwise knowsphere can achieve such vast vistas. While brave Poland persists, it is again eyed by a nuclear enemy. However into the 2020s can our phenomenal Ecosmo sapiens capacity, role and significance become known in time?

We try to find astro-parameters which can allow a universe born in a certain condition to survive and not collapse. Our findings involve inequalities linking the depending on time t instantaneous decay rate Γ(t) of the false vacuum and the Hubble value H(t). Our analysis shows that the instability of the electroweak vacuum does not have to result in the tragic fate of our Universe leading to its death. (Excerpt)

Van Huffel, Michael, et al.. Hierarchical Clustering in ΛCDM Cosmologies via Persistence Energy.. arXiv:2401.01988. We cite this work by ETH Zurich and TU Eindhoven astrophysicists as one example out of a hundred each day of the nearly infinite 2024 breadth and depth that our Earthuman pancontinental scientific collaborations seem ready and able to achieve. By a philoSophia vista, one could imagine that we especial Earthlings with these innate facilities, aided by instruments and computations, have a participatory work mission of vita ecosmic self-description, recognize and affirmation.

In this research, we investigate the structural evolution of the cosmic web, employing advanced methodologies from Topological Data Analysis. Our approach involves leveraging Persistence Signals, an innovative method from recent literature that facilitates the embedding of these diagrams into vector spaces by re-conceptualizing them as signals in R2+. Utilizing this approach, we study quintessential cosmic structures: clusters, filaments, and voids. A central discovery is the correlation between Persistence Energy and redshift values, linking this homology with cosmic evolution. (Abstract)

Topological Data Analysis (TDA) has emerged as a transformative approach to extract meaningful information from complex datasets. TDA employs tools from computational geometry and algebraic topology to study their inherent features. In the context of cosmology, where the distribution of matter exhibits complex, interconnected patterns, TDA becomes a valuable tool for uncovering the cosmic formations. (1)

Vazza, Franco. How Complex is the Cosmic Web?. arXiv:1911.11029. We cite this by a University of Bologna astrophysicist as another example of innovative, sophisticated methods by which to simulate and describe the entire spatial and temporal reach of the celestial universe which our collective sapience has found itself. How fantastic is it that in a few decades our phenomenal species seems innately capable of, seemingly made for, such observances. We also note that some forty years after Erich Jantsch’s 1980 work The Self-Organizing Universe (search), it is now been proven that this dynamic creativity is how nature works.

The growth of large-scale cosmic structure is a beautiful exemplification of how complexity can emerge in our Universe, starting from simple initial conditions and physical laws. Using cosmological numerical simulations, I applied tools from Information Theory to quantify the amount of complexity in the simulated cosmic volume, as a function of epoch and environment. The most complex environment in the simulated cosmic web is found to be the periphery of large-scale structures (e.g. galaxy clusters and filaments), where it is greater than more rarefied regions. (Abstract)

The Universe that astrophysicists routinely analyze gives a spectacular example of such emergence from simple initial conditions: somehow the Universe could self-organize on an enormous range of scales without any external intervention, transitioning from the smoothest and simplest possible initial condition (a nearly scale-invariant background of matter fluctuations) to a majestic hierarchy of clustered sources. (1)

Vazza, Franco. The Complexity and Information Content of Simulated Universes. arXiv:2007.05995. The University of Bologna astrophysicist (search) proposes a method to evaluate self-organized, scale-invariant spatial and temporal cosmic structures by way of their inherent informational qualities. A “morphology of complexity” is broached as a relative measure of stellar and galactic cluster formations. By a natural philoSophia view it is a wonder that 400 years after Galileo we collaborative peoples are able to explore and quantify such breadth and depth so as to “simulate” entire cosmoses. The innate occurrence of geometric regularities across a developmental course seems to imply, if of a mind to ask and see, the presence of a greater phenomenal reality for which our Earthling sapience has a central agency and import.

The emergence of a complex, large-scale organisation of cosmic matter into the Cosmic Web is a beautiful exemplification of how complexity can be produced by simple initial conditions and simple physical laws. In the epoch of Big Data in astrophysics, connecting the variety of multi-messenger observations to the complex interplay of fundamental processes is an open challenge. In this contribution, I discuss a few relevant applications of Information Theory to the task of measuring the complexity of numerical simulations of the Universe. When applied to cosmological simulations, complexity analysis allows us to monitor which physical processes are mostly responsible for the emergence of complex dynamical behaviour across cosmic epochs and environments. (Abstract excerpt)

Information Theory (IT) is a powerful and multidisciplinary field of investigation, which enables a mathematical representation of the conditions and parameters affecting the processing and the transmission of information across physical systems. According to IT, all physical systems - the entire Universe included - can be regarded as an information-processing device, which computes its evolution based on a software made of physical laws. Thanks to IT, the complexity of a process becomes a rigorous concept, which can be measured and compared, also between different fields of research. (2)

Vidotto, Francesca. Time, Space and Matter in the Primordial Universe. arXiv:2207.13722. We note this essay by a University of Western Ontario philosopher with a physics PhD from the University of Pavia so to witness and record the awesome abilities of a human person within a learned Earthwide sapiensphere to cast visionary, intellectual considerations across such cosmic reaches and substantial depths. We exemplary Earthuman beings might be well seen as participant quantifiers, describers, explainers that such a spacescape reality needs in order to re-present and acknowledge itself.

Time, space, and matter are categories of our reasoning, whose properties appear to be fundamental. However, these require a scrutiny as in the extreme regime of the primordial universe these present quantum properties. What does it mean for time to be quantum? What does it mean for space? Concepts such as the superposition of causal structures or the quantum granularity of space should be clarified to understand these cosmological physics. The answers to these questions, that touch the very concepts with which we organize our understanding of reality, require that we confront ourselves with empirical data, whence the universe itself is the best of possible laboratories. (Excerpt)

Villaescusa-Navarro, Francisco, et al. Cosmology with One Galaxy?.. arXiv.2201.02202. Thirteen astrophysicists from across the USA including Mark Vogelsberger achieve a unique celestial insight by finding that the typical features of one sample galaxy can then readily apply to a wide array of disparate kinds. The work merited a news article in The New Yorker magazine entitled What Can We Learn about the Universe from Just One Galaxy? by Rivko Galchen (March 23, 2022). The very much answer quite serves once and future appreciations that nature necessarily repeats the same pattern and process at each and every scale and instance.

We quantify the amount of cosmological and astrophysical information that the internal properties of individual galaxies and their host dark matter halos contain. We train neural networks using thousands of galaxies from 2,000 state-of-the-art hydrodynamic simulations from the CAMELS project to study cosmological and astrophysical parameters. We find that knowing the internal properties of a single galaxy can allow our models to infer the value of Ωm with a ∼10% precision. Our results hold for any type of galaxy, central or satellite, massive or dwarf, at all redshifts. We find that the stellar mass, stellar metallicity, and circular velocity are among the most important galaxy properties. (Abstract excerpt)

Villaescusa-Navarro, Francisco, et al.. The CAMELS Project: Public Data Release. arXiv:2201.01300. We record this rush of cosmic quantification as a leading edge as large global projects intensify. Some 50 authors with postings in the USA (F V-N, Flatiron Institute, NYC), Spain, Canada, Switzerland, South Africa, Korea, Italy, France, and the UK. But any natural philosophy vista is still absent as to whom we all are to be able to carry out and advance. See also Machine Learning and Cosmology by Cora Dorkin and this open team at 2203.08056 and and Learning Cosmology and Clustering with Cosmic Graphs by F V-N and Pablo Villanueva-Domingo at 2204.13713 for further aspects.

The Cosmology and Astrophysics with MachinE Learning Simulations (CAMELS) project was developed to combine cosmology with astrophysics through thousands of cosmological hydrodynamic simulations and machine learning. In this paper we present the CAMELS public data release, describing the characteristics of the simulations and a variety of data products generated from them, including halo, subhalo, galaxy, and void catalogues, power spectra, bispectra, Lyman-α spectra, probability distribution functions, halo radial profiles, and X-rays photon lists. (Abstract excerpt)

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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