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SUMMARY:Enrico Pajer (Cambridge)
DTSTART:20210608T100000Z
DTEND:20210608T110000Z
DTSTAMP:20260513T222341Z
UID:CCTP_HEP/52
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/CCTP_HEP/52/
 ">A Timeless History of Time</a>\nby Enrico Pajer (Cambridge) as part of C
 CTP HEP Seminars\n\n\nAbstract\nCosmological observations give us the uniq
 ue opportunity to\nprobe the fundamental laws of physics at very high ener
 gies as well as\nthe perturbative regime of quantum gravity. Unfortunately
 \, due to the\ncreativity of theorists and the paucity of data about the p
 rimordial\nuniverse\, there is a huge number of models compatible with all
 \nmeasurements\, featuring a wide variety of mechanisms\, symmetries\, and
 \nspectra of particles.The reason can be traced back to the fact that we\n
 don't observe the time evolution during inflation\, but only its final\nou
 tcome.\n\nIn this talk I will report on the recent progress in developing 
 a\ncompletely new "bootstrap" approach to derive predictions from the very
 \nearly universe that make no reference to time and the un-observable time
 \nevolution. The bootstrap approach builds directly upon the fundamental\n
 pillars of physics. In particular\, I will present the recent\nbreakthroug
 hs in understanding the consequence of unitarity for\ncosmological correla
 tors to all orders in perturbation theory\, as well\nas the footprint of (
 bulk) locality. I will show how these principles\ncan be used to derive ma
 ny classical and new inflationary predictions\nassociated with primordial 
 non-Gaussianity in a way that is both\ncomputationally simpler and concept
 ually more transparent. This includes\na reconstruction formula that relat
 es de Sitter correlators to\namplitudes for massless particles\, cosmologi
 cal partial-energy recursion\nrelations and a "timeless" differential repr
 esentation of the\nperturbative wavefunction. This approach makes no refer
 ence to de Sitter\nboosts\, which are broken by a large amount in models t
 hat predict large\nnon-Gaussianity.\n
LOCATION:https://researchseminars.org/talk/CCTP_HEP/52/
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