
III. Ecosmos: A Revolutionary Fertile, Habitable, SolarBioplanet, Incubator LifescapeE. Systems Cosmology: Fractal SpaceTimeMatter Nobel Prize in Physics 2016. www.nobelprize.org/nobel_prizes/physics/laureates/2016/press. This is the Royal Swedish Academy of Sciences press release about this award to David Thouless, Duncan Haldane, and Michael Kosterlitz for for theoretical discoveries of topological phase transitions and topological phases of matter. We chose it from many (Google title) to post a summary notice of this joint, multifaceted achievement, which has broadly sanctioned a topological turn in theoretical physics (see Wolchover herein). For technical reviews, see Highlights of the Physics Nobel Prize 2016 at arXiv:1612.060132, and their Nobel Lecture on Topological Quantum Matter in Review of Modern Physics (89/4, 2017). The three Laureates' use of topological concepts in physics was decisive for their discoveries. Topology is a branch of mathematics that describes properties that only change stepwise. Using topology as a tool, they were able to astound the experts. In the early 1970s, Michael Kosterlitz and David Thouless demonstrated that superconductivity could occur at low temperatures and also explained the mechanism, phase transition, that makes superconductivity disappear at higher temperatures. At around the same time, Duncan Haldane discovered how topological concepts can be used to understand the properties of chains of small magnets found in some materials. We now know of many topological phases, not only in thin layers and threads, but also in ordinary threedimensional materials. Over the last decade, this area has boosted frontline research in condensed matter physics, not least because of the hope that topological materials could be used in new generations of electronics and superconductors, or in future quantum computers. (Edited excerpts) Aerts, Diederik, et al. Crystallization of Space: SpaceTime Fractals from Fractal Arithmetics. arXiv:1506.00487. Vrije Universiteit Brussel mathematicians post a 2015 update on a pervasive selfsimilar, scale invariant topology across every domain of cosmic phenomena. See also Relativity of Arithmetic as a Fundamental symmetry of Physics by coauthor Marek Czachor at arXiv:1412.8583. Aguirre, Jacobo, et al. Fractal Structures in Nonlinear Dynamics. Reviews of Modern Physics. 81/1, 2009. A technical tutorial which courses through various dissipative systems, with an emphasis on basins of attraction. Since the relation between fractality and nonlinear dynamics was established, it has been observed that fractality in ubiquitous in nature. (334) Alexander, Stephon, et al. FermiBounce Cosmology and Scale Invariant PowerSpectrum. arXiv:1402.5880. Theoretical physicists Alexander, Dartmouth College, along with Cosimo Bambi, Antonio Marciano, and Leonardo Modesto, Fudan University, China, contribute to the latest universemultiverse scheme with usual technical vernacular. We also note as a mid 2010s exemplar of international collaborations as a worldwise learning and knowledge unto discovery proceeds on its own. SA is an AfricanAmerican physicist, CB, AM, and LM have doctorates in physics from Italian universities, but are now researchers Fudan, where the working language is English. One might then muse, what mathematical or textual dialect is Nature actually written in, where does “scaleinvariance” come from, is it an independent propensity? We develop a novel nonsingular bouncing cosmology, due to the nontrivial coupling of general relativity to fermionic fields. The resolution of the singularity arises from the negative energy density provided by fermions. Our theory is ghostfree because the fermionic operator that generates the bounce is equivalent to torsion, which has no kinetic terms. The physical system is minimal in that it consists of standard general relativity plus a topological sector for gravity, a U(1) gauge field reducing to radiation at late times and fermionic matter described by Dirac fields with a nonminimal coupling. We show that a scale invariant powerspectrum generated in the contracting phase can be recovered for a suitable choice of the fermion number density and the bare mass, hence providing a possible alternative to the inflationary scenario. (Abstract) Alimi, JeanMichel and Remy Koska. The shape of dark matter halos: a new fundamental cosmological invariance.. arXiv:2406.15947.. As these 21st century worldwise studies gain wider and deeper findings, Laboratoire Univers et Théories, CNRS, Observatoire de Paris astronomers describe a persistent selfsimilarity to hold even across this esoteric realm. And in a philosophic sense, when will such whole scale verifications begin to reveal the existence of a greater independent reality, from which we arise so to achieve its own selfwitness? We focus on the complex relationship between the shape of dark matter halos and the celestial models underlying their formation. We used three realistic versions from the Dark Energy Universe Simulation suite. Our results show that a widespread invariance is a consequence of the matter field nonlinear dynamics as the universe evolves. From this correspondence, we can reconstruct the complex variance of the cosmic matter field and its power spectrum. (Excerpt) Anitas, Eugen Mircea and Azat Slyamov. Emergence of Surface Fractals in Cellular Automata. Annalen der Physik. Online October, 2018. In this German journal since 1799, Joint Institute for Nuclear Research, Dubna, Russia physicists, with other postings in Almaty, Kazakhstan and Bucharest, Romania describe a clever method for visualizing this topological presence. Our interest extends beyond the global research facility only now possible to a mindfulness that we phenomenal learners are witnessing an intrinsic geometry and mathematics, as Galileo and others foresaw, that does exist on its prior own. Such nascent realizations then one to wonder “whomever “put it all there in the first place. Self‐similar (fractal) structures are present at every scale ranging from galaxies down to aggregates of atoms to elementary particles. For surface fractals, the self‐similarity is inherited from the superposition of non‐overlapping mass fractals. Despite long‐standing theoretical investigations, no generic framework exists yet to describe the nature and generation of surface fractal systems. Here, cellular automata (CA) are identified as a generic mathematical system and, by exploring the associated small‐angle scattering (neutrons, X‐rays, light) intensity curves, the emergence of surface fractals is reported. The finding on the emergence of surface fractals in CA will enrich the understanding of their structural properties while the approximation of independent objects can provide a route toward testing randomness generated by CA. (Abstract excerpt) AragonCalvo, Miguel. Hierarchical Reconstruction of the Cosmic Web, The HSpine method. arXiv:2308.16186. In a paper to appear in MNRAS, a UNAM astronomer describes this 2020s instance of a robust confirmation of an ecosmic anatomy and physiology nested vitality. (my gloss). See Hierarchical structure of the cosmic web and galaxy properties by MAC and colleagues at 2304.14387, The Opacity Limit at 2308.16810 for more evidence and visit the author's website for an array of artistic versions. The cosmic web consists of a nested hierarchy of structures: voids, walls, filaments, and clusters. These structures interconnect and can encompass one another, collectively shaping an intricate network. Here we introduce the Hierarchical Spine (HSpine) method, a framework designed to characterize these aspects. The HSpine method captures the geometry and interconnectivity between cosmic structures as well as their nesting relations as a more complete description of the cosmic web. (excerpt) Ardizzone, Vincenzo, et al. Formation and Control of Turing Patterns in a Coherent Quantum Fluid. Nature Scientific Reports. 3/3016, 2013. An international 16 member team from Ecole Normale Superieure, Paris, Universitat Paderborn, Germany, Chinese University of Hong Kong, University of Arizona, and CNRS Laboratoire de Photonique et de Nanostructures, France, achieves an iconic portal unto the “systems nature” revolution. At once, as abstracts or first paragraphs can now state, a ubiquity of the same selforganizing, complex adaptive network patterns and dynamics have been found at each and every realm and instance. In this paper, they are similarly noted in these quantum reaches. By the breadth and depth of these findings, it becomes strongly evident that an independent, universal source must be at work. But is it an algorithm software, or might it actually be broached as a natural genetic code? Nonequilibrium patterns in open systems are ubiquitous in nature, with examples as diverse as desert sand dunes, animal coat patterns such as zebra stripes, or geographic patterns in parasitic insect populations. A theoretical foundation that explains the basic features of a large class of patterns was given by Turing in the context of chemical reactions and the biological process of morphogenesis. Analogs of Turing patterns have also been studied in optical systems where diffusion of matter is replaced by diffraction of light. The unique features of polaritons in semiconductor microcavities allow us to go one step further and to study Turing patterns in an interacting coherent quantum fluid. We demonstrate formation and control of these patterns. We also demonstrate the promise of these quantum Turing patterns for applications, such as lowintensity ultrafast alloptical switches. (Abstract) Argyris, J., et al. Fractal Space Signatures in Quantum Physics and Cosmology. Chaos, Solitons and Fractals. 11/11, 2000. How the topology of nature (space, time, matter, and fields) is “intrinsically fractal.” A selfsimilarity is then evident from galactic clusters to the allometric scale of life. …we observe that biological systems can indeed be considered as biological fractals. (1689) Argyris, J., et al. Fractal Space, Cosmic Strings and Spontaneous Symmetry Breaking. Chaos, Solitons and Fractals. 12/1, 2001. A theoretical encounter with a finely grained, iterative universal genesis. We show that, starting from the most fundamental of elementary particles and rising up to the largest scale structure of the Universe, the fractal nature of spacetime is imprinted onto matter and fields via the common concept for all scales emanating from the physical spacetime vacuum fluctuations….The key aspect of fractals in physics and of fractal geometry is to understand why nature gives rise to fractal structures. Our present answer is: because a fractal structure is a manifestation of the universality of selforganization processes. (1) Aschwanden, Markus. A Macroscopic Description of a Generalized SelfOrganized Criticality System: Astrophysical Applications. Astrophysical Journal. 782/1, 2014. A technical tutorial upon this constant propensity of natural systems everywhere to become optimally poised between order and chaos. A physical definition of SOC is broached as “a critical state of a nonlinear energy dissipation system that is slowly and continuously driven towards a critical value of a systemwide instability threshold, producing scalefree, fractaldiffusive, with powerlawlike size distributions.” In some translation, what kind of developmental universe does this describe, who are we earthlings as its way of achieving its own selfcognizance? We suggest a generalized definition of selforganized criticality (SOC) systems: SOC is a critical state of a nonlinear energy dissipation system that is slowly and continuously driven toward a critical value of a systemwide instability threshold, producing scalefree, fractaldiffusive, and intermittent avalanches with power lawlike size distributions. We develop here a macroscopic description of SOC systems that provides an equivalent description of the complex microscopic fine structure, in terms of fractaldiffusive transport (FDSOC). Quantitative values for the size distributions of SOC parameters (length scales L, time scales T, waiting times Δt, fluxes F, and fluences or energies E) are derived from first principles, using the scalefree probability conjecture, N(L)dL L –d , for Euclidean space dimension d. We apply this model to astrophysical SOC systems, such as lunar craters, the asteroid belt, Saturn ring particles, magnetospheric substorms, radiation belt electrons, solar flares, stellar flares, pulsar glitches, soft gammaray repeaters, blackhole objects, blazars, and cosmic rays. The FDSOC model predicts correctly the size distributions of 8 out of these 12 astrophysical phenomena, and indicates nonstandard scaling laws and measurement biases for the others. (Abstract) Aschwanden, Markus. SelfOrganized Criticality in Astrophysics: The Statistics of Nonlinear Processes in the Universe. Berlin: Springer, 2011. Since the 1990s, the author has been at the forefront of the study of celestial phenomena such as solar flares in terms of complex dynamical systems. The endeavor has spread across cosmic reaches with robust mathematical veracity to an extent that a book length treatment is now merited. An appropriate Introduction scopes out the science of SOC as broadly arrayed across Stellar Physics, Planetary Realms, Geophysics, Biophysics and onto Human Activities. On the Springer site can be found the table of contents, chapter abstracts, and text samples. The concept of ‘selforganized criticality’ (SOC) has been applied to a variety of problems, ranging from population growth and traffic jams to earthquakes, landslides and forest fires. The technique is now being applied to a wide range of phenomena in astrophysics, such as planetary magnetospheres, solar flares, cataclysmic variable stars, accretion disks, black holes and gammaray bursts, and also to phenomena in galactic physics and cosmology. Selforganized Criticality in Astrophysics introduces the concept of SOC and shows that, due to its universality and ubiquity, it is a law of nature. The theoretical framework and specific physical models are described, together with a range of applications in various aspects of astrophysics. The mathematical techniques, including the statistics of random processes, time series analysis, time scale and waiting time distributions, are presented and the results are applied to specific observations of astrophysical phenomena. (Publisher)
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