Constraints on Cosmological Parameters with a Sample of Type Ia Supernovae from JWST

Abstract

We investigate the potential of using a sample of very high-redshift (2 ≲ z ≲ 6) (VHZ) Type Ia supernovae (SNe Ia) attainable by JWST on constraining cosmological parameters. At such high redshifts, the age of the universe is young enough that the VHZ SN Ia sample comprises the very first SNe Ia of the universe, with progenitors among the very first generation of low-mass stars that the universe has made. We show that the VHZ SNe Ia can be used to disentangle systematic effects due to the luminosity distance evolution with redshifts intrinsic to SN Ia standardization. Assuming that the systematic evolution can be described by a linear or logarithmic formula, we found that the coefficients of this dependence can be determined accurately and decoupled from cosmological models. Systematic evolution as large as 0.15 mag and 0.45 mag out to z = 5 can be robustly separated from popular cosmological models for linear and logarithmic evolution, respectively. The VHZ SNe Ia will lay the foundation for quantifying the systematic redshift evolution of SN Ia luminosity distance scales. When combined with SN Ia surveys at comparatively lower redshifts, the VHZ SNe Ia allow for the precise measurement of the history of the expansion of the universe from z ∼ 0 to the epoch approaching reionization.

Pointlike Sources among z > 11 Galaxy Candidates: Contaminants due to Supernovae at High Redshifts?

“…This will enable quick identifications of the most important SN candidates, e.g., SNe Ia at z ≈ 6-10, for spectroscopic confirmation. Finally, we remark that SNe Ia at such redshifts can be used to quantitatively constrain the systematic redshift evolution of the intrinsic properties of SNe Ia (Riess & Livio 2006;Lu et al 2022) by incorporating explicit redshift-dependent light-curve shape and color corrections to SN Ia magnitudes.…”

Artificial Intelligence Assisted Inversion (AIAI): Quantifying the Spectral Features of 56Ni of Type Ia Supernovae

“…This approach is different from what has been done so far based on empirical models of SN Ia luminosity-distance relations (e.g., Phillips 1993;Tripp 1998;Wang et al 2003bWang et al , 2006Wang et al , 2009Guy et al 2005;Jha et al 2007). For future projects of SN cosmology, such theoreticalmodel-based parameterization has a different sensitivity to the systematic errors of SN evolution-AIAI may prove to be helpful in constraining the systematic evolution of the age and metallicity of SN Ia progenitors, especially when very-highredshift (z ∼ 3-6) SNe Ia are involved (Lu et al 2022).…”

Constraining dark energy cosmologies with spatial curvature using Supernovae JWST forecasting

“…It is expected that it will have an estimated lifespan of 20 years in which the research will be focused on several astrophysical and cosmology areas such as galaxy formation in the early universe as [26][27][28][29], exoplanet detection [30][31][32], metallicity and chemical exploration [33][34][35], and life detection [36,37]. All these potential and current observations could allow us to explore physics further than before as testing dark energy models with structure formation [38,39], corroborate the Cepheid calibrations in the distance ladder [40] and adding more SNIa observations [9], cosmic chronometers [41], and XA/UV quasars [42,43] to the constraint analysis of them.…”

“…Furthermore, SNIa are common enough to be found in large quantities, and their properties make them standardized with a precision of ∼ 0.1 mag in brightness or ∼ 5% in distance per object [7]. Also, the increasing number of SNIa observations has considerably reduced the associated statistical errors and the uncertainties in estimating cosmological parameters dominated by them [8,9].…”