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

B. Our Whole Scale EcosmoVerse Description Project

Strom, Allison. The DNA of Galaxies. carnegiescience.edu/GalaxyDNA. A Carnegie Institution for Science, Washington public lecture by the Carnegie-Princeton astrophysicist which was presented on April 29, 2019. Again the summary invites an engaging view of galactic phenomena.

Like people, each of the billions of galaxies in the universe developed its own unique traits over a complicated lifetime. Until recently, astronomers have only been able to study galaxies closest to the Milky Way in detail, leaving much of the universe's history a mystery. Dr. Strom will show how astronomers are now using the world's largest telescopes to determine the chemical DNA of even very distant galaxies, and how this information is answering key questions about how galaxies like our own formed and evolved.

Taujimoto, Takuji. From Galactic Chemical Evolution to Cosmic Supernova Rates Synchronized with Core-Collapse. arXiv:2211.09160. We cite this entry by a National Astronomical Observatory of Japan researcher as an instance whereby one human member of a collaborative 2020s EartHuman sapience and elibrary resource can be able to learn about and describe, so it seems, any domain, reach, aspect of the whole celestial ecosmos. See also, for example The Basics of Primordial Black Hole Formation by Yoo, Chul-Moon Yoo, Nagoya University, Japan (2211.13512) and A Study of Warm Dark Matter by Bruce Hoeneisen, University of Quito, Ecuador (2211.12574). Such innate capacities of homo to Earthropo individuals requires a radically expansive 2020s definitive appreciation of our phenomenal identity and purpose.

Massive stars perish via one of two fates: core-collapse supernovae, which release synthesized heavy elements, or failed supernovae, thereby forming black holes. In the conventional Galactic chemical evolution (GCE) scheme, larger stars enrich the Galaxy with nucleosynthetic products. Here, we show that the chemicals shaped by thin disk stars meet the predictions by enrichment in the new paradigm of Galactic dynamics that allows stars to migrate from the inner disk. (Taujimoto Excerpt)

Torrel, Jean-Claude, et al. Complex Systems in Cosmology: “The Antennae” Case Study. Zhou, Jie, ed. Complex Sciences. Berlin: Springer, 2009. From Volume 2 of these proceedings of the First International Conference on Complex Systems, Shanghai, February 2009, French astrophysicists analyze a collisional impact between two galaxies that appears as two ears of an antenna so as to show that nonlinear phenomena and theories equally apply in this nebulae realm.

Due to its particular shape, “The Antennae” is a well-known complex cosmological dynamical structure. Classical simulations of this phenomenon are based on “top-down” models that required thousands of point-mass particles. We describe an approach for cosmological simulation based on a hierarchical multi-agent system, and evidence is shown that this approach significantly reduces the number of elements needed to simulate “The Antennae” structure. (Abstract, 1887)

A complex system is composed of interacting elements that, as a whole, exhibit properties which cannot be obviously deduced from the ones of the individual elements. Simulating such systems requires the computation of non-linear interactions and, thus, a high computing power bounds to the number of elements. Cosmology is a perfect example of this computing concern; from globular clusters to spiral galaxies, deep space shows a wide variety of complex patterns and behaviors. (1887)

Tyson, Neil de Grasse, et al. Welcome to the Universe: An Astrophysical Tour. Princeton: Princeton University Press,, 2016. The American Museum of Natural History cosmic impresario and senior Princeton astrophysicists Michael Strauss and Richard Gott guide the reader across the spatial cosmic expanse and its dynamic temporal course, with many important stops and topics along the way.

Inspired by the popular introductory astronomy course that Neil de Grasse Tyson, Michael A. Strauss, and J. Richard Gott taught together at Princeton, this book spans from planets, stars, and galaxies to black holes, wormholes, and time travel. Describing the latest discoveries, the informative narrative propels you from our home solar system to the outermost frontiers of space. Why did Pluto lose its planetary status? What are the prospects of intelligent life elsewhere? How did the universe begin? Is our universe alone or part of an infinite multiverse? Answering these and many other questions, the authors share their wonderment about this awesome celestial raiment.

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)

Previous   1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9  Next