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SUMMARY:In pursuit of primordial non-Gaussianity
DTSTART;VALUE=DATE-TIME:20200918T093000Z
DTEND;VALUE=DATE-TIME:20200918T103000Z
DTSTAMP;VALUE=DATE-TIME:20201025T190809Z
UID:indico-event-7789@cern.ch
DESCRIPTION:In this talk I will motivate the search for primordial non-Gau
ssianity. Current constraints derived from studying the bispectrum of the
cosmic microwave background (CMB) suggest a Gaussian primordial Universe.
However\, experimental efforts this decade are expected to reach a sensiti
vity that would reach a compelling\, theoretically motivated\, threshold.
I will discuss both fundamental as well as observational limitations that
affect our ability to constrain or detect a primordial signal. In general\
, it has always been assumed the most sensitive statistic of primordial no
n-Gaussianity is the bispectrum (the Fourier transform of the 3-point func
tion). I will show that the signal-to-noise (SNR) scaling of ANY n-point c
orrelation can be determined by i) the kinematics of the n-point function
is certain critical configurations and ii) the presence or absence of damp
ing (e.g. Silk damping in the CMB). As a result\, I can show that the SNR
of the CMB bispectrum scales poorly with increased resolution\, while the
trispectrum (Fourier equivalent of the 4-point function) in certain cases
can improve over bispectrum sensitivity as experimental resolution increas
es.. While CMB sensitivity to higher n-point functions will eventually pla
teau as a function of resolution\, for the large scale structure\, which i
s 3 dimensional and structure is not fundamentally damped on small scales\
, all n-point functions can in principle improve over bispectrum constrain
ts with increasing resolution. This unknown results motivates a continued
effort to search for primordial non-Gaussianty. If time permits\, I will a
lso discuss recent work on using a single tracer field of the LSS to measu
re non-Gaussianity in the biased power spectrum\, utilizing so-called cosm
ic variance cancellation.\n\nhttps://indico.tifr.res.in/indico/conferenceD
isplay.py?confId=7789
LOCATION:Zoom
URL:https://indico.tifr.res.in/indico/conferenceDisplay.py?confId=7789
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