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Archive for the ‘cosmology’ category: Page 124

May 2, 2022

The Tesseract: between mediated consciousness and embodiment

Posted by in categories: cosmology, neuroscience, physics

Abstract

As a sensate infrastructure, the body conveys information to and from the brain to complete a perceptual concordance with consciousness. This system of reciprocal communication both positions consciousness in spacetime, and allows that consciousness is dependent upon the body to roam. Through movement we comprehend. The corporeal occupation of spacetime permits human consciousness access to the phenomena of its physical environment, whereby it uses language (utterance) to both construct and describe this existence. This mediated transmission evolved into story and narrative in an attempt to apprehend, control and more importantly convey what is perceived. It is precisely the components of space and time, critical elements to our own existence that play such a paramount role in our ability to generate meaning and narrative comprehension. As our dimensional understanding has evolved and extended, so too has our understanding that space and time are crucial components of narrative. With the emergence of auxiliary narrative spaces, this movement of consciousness affords opportunities to create new narrative imperatives. In the theoretical realm of physics, the tesseract makes it possible to overcome the restraints of time. The tesseract is a gravitational wormhole that represents the physical compression of space that circumvents time in order to move from one location in spacetime to another. The index, as part of the body, but also the mechanism for applying a collapsed signification, requires both utterance (mediation) and event (temporal-frame) in order to create cognitive meaning. The indexical functions as a linguistic tesseract that collapses language creating a bridge over the semantic divide between utterance and meaning. This paper places the function and potential of the tesseract within the paradigm of cognitive narratology through the argument that compression is the mechanism for narrative construction of story, autopoiesis, and the locality of self.

Apr 30, 2022

Here’s Why Hibernation in Space May Not Be Possible For Humans After All

Posted by in categories: cosmology, space travel

Sending humans virtually anywhere in space beyond the Moon pushes logistics of health, food, and psychology to limits we’re only just beginning to grasp.

A staple solution to these problems in science fiction is to simply put the void-travelers to bed for a while. In a sleep-like state akin to hibernation or torpor, metabolism drops, and the mind is spared the boredom of waiting out endless empty hours.

Unlike faster-than-light travel and wormholes, the premise of putting astronauts into a form of hibernation feels like it’s within grasp. Enough so that even the European Space Agency is seriously looking into the science behind it.

Apr 27, 2022

Cybernetic Theory: Interpretive Model of Everything We Call the Universe

Posted by in categories: computing, cosmology, neuroscience, quantum physics

Another key insight of Cybernetic Theory can be referred to as “Mind Over Substrates”: Phenomenal “local” mind is “cybernetically” emergent from the underlying functional organization, whereas holistic “non-local” consciousness is transcendentally imminent. Material worlds come and go, but fundamental consciousness is ever-present, as the multiverse ontology is shown to be testable. From a new science of consciousness to simulation metaphysics, from evolutionary cybernetics to computational physics, from physics of time and information to quantum cosmology, this novel explanatory theory for a deeper understanding of reality is combined into one elegant theory of everything (ToE).

If you’re eager to familiarize with probably the most advanced ontological framework to date or if you’re already familiar with the Syntellect Hypothesis which, with this newly-released series, is now presented to you as the full-fledged Cybernetic Theory of Mind, then this 5-book set will surely present to you some newly-introduced and updated material if compared with the originally published version and can be read as a stand-alone work just like any book of the series:

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Apr 26, 2022

Record-breaking supernova manages to “X-ray” the entire Universe

Posted by in category: cosmology

The first supernova ever discovered through its X-rays has an enormously powerful engine at its core. It’s unlike anything ever seen.

Apr 26, 2022

The Large Hadron Collider Is Back and Ready to Hunt for Dark Matter

Posted by in categories: cosmology, particle physics

Are you ready?


In the control room at CERN (The European Center for Nuclear Research) is a row of empty champagne bottles. Scientists popped open each one to celebrate a successful landmark, like the discovery of the Higgs boson particle, the long-elusive particle that gives all other subatomic particles their mass.

⚛️ Science explains the world around us. We’ll help you unravel its mysteries.

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Apr 25, 2022

How many types of galaxies are there in the universe?

Posted by in category: cosmology

Apr 25, 2022

Fly-eyed lens array captures dim objects missed by giant telescopes

Posted by in category: cosmology

Upgraded Dragonfly will study how dark matter shapes diffuse galaxies and faint tendrils of gas.

Apr 25, 2022

The Arrow of Time in Causal Networks

Posted by in categories: cosmology, particle physics, quantum physics

April, 2022


Sean Carroll (Caltech and Santa Fe Institute)
https://simons.berkeley.edu/events/causality-program-externa…-institute.
Causality.

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Apr 25, 2022

Upcoming satellite mission may ‘see’ how early universe cooled

Posted by in categories: cosmology, physics

As the early universe cooled shortly after the Big Bang, bubbles formed in its hot plasma, triggering gravitational waves that could be detectable even today, a new study suggests.

For some time, physicists have speculated that a phase transition took place in the early universe shortly after the Big Bang. Phase transition is a change of form and properties of matter that usually accompanies temperature changes such as the evaporation of water into vapor or the melting of metal. In the young and fast expanding universe, something similar likely took place as the plasma, which was filling the space at that time, cooled down.

Apr 24, 2022

ATLAS strengthens its search for supersymmetry

Posted by in categories: cosmology, particle physics, robotics/AI

Where is all the new physics? In the decade since the Higgs boson’s discovery, there have been no statistically significant hints of new particles in data from the Large Hadron Collider (LHC). Could they be sneaking past the standard searches? At the recent Rencontres de Moriond conference, the ATLAS collaboration at the LHC presented several results of novel types of searches for particles predicted by supersymmetry.

Supersymmetry, or SUSY for short, is a promising theory that gives each elementary particle a “superpartner”, thus solving several problems in the current Standard Model of particle physics and even providing a possible candidate for dark matter. ATLAS’s new searches targeted charginos and neutralinos – the heavy superpartners of force-carrying particles in the Standard Model – and sleptons – the superpartners of Standard Model matter particles called leptons. If produced at the LHC, these particles would each transform, or “decay”, into Standard Model particles and the lightest neutralino, which does not further decay and is taken to be the dark-matter candidate.

ATLAS’s newest search for charginos and sleptons studied a particle-mass region previously unexplored due to a challenging background of Standard Model processes that mimics the signals from the sought-after particles. The ATLAS researchers designed dedicated searches for each of these SUSY particle types, using all the data recorded from Run 2 of the LHC and looking at the particles’ decays into two charged leptons (electrons or muons) and “missing energy” attributed to neutralinos. They used new methods to extract the putative signals from the background, including machine-learning techniques and “data-driven” approaches.