Exploring the role of SKA surveys with upcoming cosmic microwave background missions in probing primordial features. (arXiv:2212.14101v1 [astro-ph.CO])
<a href="http://arxiv.org/find/astro-ph/1/au:+Chandra_D/0/1/0/all/0/1">Debabrata Chandra</a>
This present article is dedicated to thoroughly exploring the competency of
the synergy of the upcoming Cosmic Microwave Background (CMB) missions and
Square Kilometre Array (SKA) surveys in detecting features in the primordial
power spectrum. Features are by definition specific scale-dependent
modifications to the minimal power-law power spectrum. The functional form of
the features depends on the inflationary scenarios taken into consideration.
The identification of any conclusive deviation from the feature-less power-law
power spectrum will allow us to largely fathom out the microphysics of the
primordial universe. Here, we consider three vital theoretically motivated
feature models, namely, Sharp feature signal, Resonance feature signal, and
Bump feature. To investigate these features, we associate each feature model
with a specific scale-dependent function called a template. Here we explore
three distinct fiducial models for each feature model and for each fiducial
model we compare the sensitivity of 36 different combinations of the
cosmological surveys. We implement the Fisher matrix forecast method to obtain
the possible constraints on the feature model parameters for the future CMB
missions, namely, PICO, CORE-M5, LiteBIRD and CMB-S4 in synergy with upcoming
SKA surveys, wherein we explore SKA-Cosmic Shear and SKA-Intensity Mapping
surveys. Furthermore, the significance of combining EUCLID-Galaxy surveys with
the SKA-Intensity Mapping survey is also explored. To consider the feasibility
of propagating theoretical uncertainties of nonlinear scales in estimating the
uncertainties on the feature parameters, we adopt redshift dependent upper
limits of scales. To demonstrate the relative sensitivities of these future
surveys towards the parameters of the feature models, we present a comparative
analysis of all three feature models.
This present article is dedicated to thoroughly exploring the competency of
the synergy of the upcoming Cosmic Microwave Background (CMB) missions and
Square Kilometre Array (SKA) surveys in detecting features in the primordial
power spectrum. Features are by definition specific scale-dependent
modifications to the minimal power-law power spectrum. The functional form of
the features depends on the inflationary scenarios taken into consideration.
The identification of any conclusive deviation from the feature-less power-law
power spectrum will allow us to largely fathom out the microphysics of the
primordial universe. Here, we consider three vital theoretically motivated
feature models, namely, Sharp feature signal, Resonance feature signal, and
Bump feature. To investigate these features, we associate each feature model
with a specific scale-dependent function called a template. Here we explore
three distinct fiducial models for each feature model and for each fiducial
model we compare the sensitivity of 36 different combinations of the
cosmological surveys. We implement the Fisher matrix forecast method to obtain
the possible constraints on the feature model parameters for the future CMB
missions, namely, PICO, CORE-M5, LiteBIRD and CMB-S4 in synergy with upcoming
SKA surveys, wherein we explore SKA-Cosmic Shear and SKA-Intensity Mapping
surveys. Furthermore, the significance of combining EUCLID-Galaxy surveys with
the SKA-Intensity Mapping survey is also explored. To consider the feasibility
of propagating theoretical uncertainties of nonlinear scales in estimating the
uncertainties on the feature parameters, we adopt redshift dependent upper
limits of scales. To demonstrate the relative sensitivities of these future
surveys towards the parameters of the feature models, we present a comparative
analysis of all three feature models.
http://arxiv.org/icons/sfx.gif
