22 research outputs found
Tadpole Cosmology: Milne Solution as a Cosmological Constant Hideout
Dynamical cancellation frameworks present a potential means of mitigating the
effect of a large vacuum energy, that would otherwise ruin the late-time, low
energy dynamics of the Universe. Certain models in the literature, such as the
Fab Four and Well Tempering, realize this idea by introducing some degeneracy
in the dynamical equations. In this paper, we introduce a third potential route
to self-tuning, and infer the existence of a new, exact Milne solution in the
simplest tadpole plus cubic-Galileon scalar-tensor theory. We study the
dynamics of the scalar field and metric in the vicinity of the Milne coordinate
singularity, and find that the vacuum solution belongs to a more general family
of Milne-like metrics. By numerically evolving the field equations for a range
of initial conditions, we show that the Milne solution is not an attractor, and
varying the initial scalar field data can lead to completely different
asymptotic states; exponential growth of the scale factor, a static
non-spatially flat metric or a severe finite-time instability in the scalar
field and metric. We generalise the Milne solution to a class of FLRW
spacetimes, finding that the tadpole-cubic Galileon model admits
perfect-fluid-like solutions in the presence of matter. Finally, we present a
second Horndeski model which also admits an exact Milne solution, hinting at
the existence of a larger undiscovered model space containing
vacuum-energy-screened solutions.Comment: 20 pages + refs, 4 figures, comments welcom
Testing gravity with cosmic variance-limited pulsar timing array correlations
The nanohertz stochastic gravitational wave background (SGWB) is an excellent
early universe laboratory for testing the fundamental properties of gravity. In
this letter, we elucidate on the full potential of pulsar timing array (PTA) by
utilizing cosmic variance-limited, or rather experimental noise-free,
correlation measurements to understand the SGWB and by extension gravity. We
show that measurements of the angular power spectrum play a pivotal role in the
PTA precision era for scientific inferencing. In particular, we illustrate that
cosmic variance-limited measurements of the first few power spectrum multipoles
enable us to clearly set apart general relativity from alternative theories of
gravity.Comment: 6 pages + refs, 4 figures, comments welcom
Hubble constant by natural selection: Evolution chips in the Hubble tension
The Approximate Bayesian Computation (ABC) algorithm considers natural
selection in biology as a guiding principle for statistical model selection and
parameter estimation. We take this ABC approach to cosmology and use it to
infer which model anchored on a choice of a Hubble constant prior would be
preferred by the data. We find in all of our runs that the Planck Hubble
constant ( km sMpc) always emerge naturally
selected by the ABC over the SHES estimate ( km
sMpc). The result holds regardless of how we mix our data sets,
including supernovae, cosmic chronometers, baryon acoustic oscillations, and
growth data. Compared with the traditional MCMC, we find that the ABC always
results with narrower cosmological constraints, but remain consistent inside
the corresponding MCMC posteriors.Comment: 9 pages, 6 figures, v2: added algorithm details, matter density
discussion, under review, codes
https://github.com/reggiebernardo/notebooks/tree/main/supp_ntbks_arxiv.2212.0220
Hunting the stochastic gravitational wave background in pulsar timing array cross correlations through theoretical uncertainty
Incredible progress on the theoretical uncertainty of the spatial
correlations of the stochastic gravitational wave (GW) background were recently
made. However, it remains to realize the impact of this theoretical uncertainty
on PTA cross correlations analysis. This paper pushes forward in this
direction, as a proof--of--principle: showing the potential role that
theoretical uncertainty has on unburying the stochastic GW background signal in
noisy PTA cross correlation measurements. We consider both a mock data set and
the noise--marginalized 12.5 years NANOGrav spatial correlation measurements,
and find optimistic conclusions regardless of the physical content of the GW
background and the nature of the noise in the data. Very briefly, we show
through various cases a modest result that looking out for a stochastic signal
is better when two of its moments are utilized. Or, in terms of GWs, we show
that the theoretical uncertainty can play a substantial role in the hunt for
the stochastic GW background.Comment: 12 pages + refs, 3 figures, v3: discussion improved, PTA GW milestone
now in the intro timeline, to appear in JCAP, our codes
https://github.com/reggiebernardo/PTAfast/tree/main/app2_cosmic_varianc