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Astrophysicists have usedartificial intelligence(AI ) to precisely estimate five of the universe ’s six " scope " with unprecedented precision . The system could one day help research worker crack the mystery of the Hubble tension .
scientist employ six cosmogonical parameters to describe the large - plate makeup of our universe . These delineate the tightness of its ordinary subject , or baryons ; the density ofdark matterand dark vitality ; and the conditions immediately follow the Big Bang — including the universe ’s opacity and clumpiness .
An image of the Helix nebula.
let precise idea of these routine is crucial for understand how our universe began and how it will evolve . But traditional methods typically only guess these argument by looking at the agency coltsfoot are overspread out over large ordered series .
By applying AI to the problem , the researcher were able to extract numbers for the argument across small scales , give a result for our universe ’s thing clumping that had less than half the doubt of previous resultant . The scientist published their findings Aug. 21 in the journalNature Astronomy .
" Each of these [ scope ] sketch costs one C of millions to billions of dollars , " subject co - authorShirley Ho , a group leader at the Flatiron Institute ’s Center for Computational Astrophysics ( CCA ) in New York City , pronounce in a instruction . " The master cause these surveys be is because we require to understand these cosmological parameters better . So if you think about it in a very practical sensation , these parameters are deserving tens of millions of dollar sign each . You want the best analysis you could to press out as much knowledge out of these surveys as possible and push the edge of our understanding of the universe . "
The researcher train their AI system on 2,000 models of boxful - shaped universes , each with dissimilar cosmogonic preferences and muddied information to reflect the restriction in real - life observations . This enable their manakin to spot formula in how Galax urceolata looked found upon the alterations made to each creation ’s mount .
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Then , the investigator presented the AI with 109,636 real galaxies measured by theBaryon Oscillation Spectroscopic Survey . The organization produced estimates for the cosmological parametric quantity that were as accurate as a traditional survey using four times as many galaxies .
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Past sweat to gauge the parameter " have n’t been able to go down to small scales , " subject field lead authorChangHoon Hahn , an associate researcher at Princeton University , said in the statement . " For a couple of years now , we ’ve known that there ’s extra data there ; we just did n’t have a good way of extracting it . "
The researchers have declare oneself a number of app for their method , possibly the most exciting of which will be to study the Hubble tension . For eld , scientist have beenlocked in a fierce debate over the tension — a problem which spring up from mismatched approximation show the population expanding at unlike rates depending on where in blank space astronomers look .
By course datum from new cosmic surveys coming online in the next few years into their model , the researchers hope to arrive at an understanding of whether the tension can be resolved , or if it demands a completely new model of the universe .
" If we measure the quantities very precisely and can firmly say that there is a tension , that could reveal newfangled physics about dark energy and the expansion of the cosmos , " Hahn say .
