MAUNA KEA & GAIA ARCHIVE [OMEGA-CLOUD]
DOI & CITATION
DOI & CITATION
2019 – 2021
POINT-CLOUD RADIOMETRIC DATA [2.1 BILLION VALUES]
NASA, JPL, UNAVCO
MAUNA KEA SUMMIT EROSION MONITORING
MAUNA KEA, HAWAII
19.8230° N, 155.4694° W
TERRESTRIAL LIDAR - SATELLITE-BORNE SAR
EUROPEAN SPACE AGENCY
GAIA DATA RELEASE, I & 2
GAIA ET AL
MACHINE-LEARNING GENERATIVE MODEL
Life is a stubborn paradigm. It exhibits anomalous resilience against cosmic stress insofar as, according to the neocatastrophic astrobiology, annihilation events might even accelerate biogenesis and noogenesis. The general astrobiological thought concerning biogenesis bifurcates into two main philosophical paradigms, (a) mediocrity principles (b) anthropic principles. Life, according to proponents of the first school of thought, is coordinated in a predominant barred-spiral galaxy. The second school of thought deems life as a rare event, contingent upon exceptional conditions such as stellar distance; stellar mass; a terrestrial planet; planet tectonics; landmass; magnetic field; good neighbours; asteroidal freedom; covering ocean; stable orbits; large moon; eccentric shift; atmospheric properties; adequate temperature; galactic environment; giant impacts; biological evolution; galactic positions; carbon amount and wild cards.
These factors coalesce together into an island comprising spatiotemporal parameters––when juxtaposed in parametric space, isolates a ‘habitable zone’. Different habitable zones and epochs coordinates an 'astrobiological landscape'. The astrobiological landscape, according to Milan Cirkovic, is a 'habitation archipelago' shaped like a ‘topological hyper-surface’ where different astrobiological clocks tick according to the astrobiological dynamics. The astrobiological dynamics are spatiotemporal parameters (catastrophic events) that generate unique habitation zones (phase spaces) supporting or aborting noogenesis.
This project attempts to construct a machine-learning generative model, simulated using two trans-scalar datasets: (a) terrestrial point-cloud dataset of Mauna Kea, a dormant volcano housing astronomical observatories in Hawaii; (b) astrometric and photometric three-dimensional dataset of the Milky Way (Gaia Archive). The machine-learning algorithm detects a global topology out of the Gaia Archive. The global continuum is applied to the regional-point-cloud datasets of Mauna Kea to generate a synthetic continuum (generative model) using brute-force deformers. The generative model synthesises trans-scalar terrestrial and stellar particulates in a synthetic continuum, extending the circumstellar habitat into the interstellar medium, the cerebral into the cosmic and the biological into the exobiological––in order to generate an astrobiological landscape with alternative dynamics and habitable zones.
The Omega Cloud as a galactic-engineering project is an artefact of Nikolai Kardashev’s Type IV and John Barrow’s Ω-minus civilisation––a civilisation capable of transforming the thermodynamic output of a galactic collapsar to perform computation at the point Ω; while stabilising matter at the edge of annihilation. The project attempts to frame intelligence as a global regulator (neocatastrophic mechaniser on par with magnetars)––a system capable of rebooting billion-year-old astrobiological clocks. The alliance between the two datasets enciphers within cosmographic representations as high-resolution data visualisations.
See: Ćirković, M M. The Astrobiological Landscape. Cambridge University Press, 2012.