Abstract
Relative distances between a high-redshift sample of Type Ia supernovae (SNe Ia), anchored to a low-redshift sample, have been instrumental in drawing insights on the nature of the dark energy driving the accelerated expansion of the universe. A combination (hereafter called SBC) of the SNe Ia with baryon acoustic oscillations from the Dark Energy Spectroscopic Instrument (DESI) and the cosmic microwave background recently indicated deviations from the standard interpretation of dark energy as a cosmological constant. In this paper, we analyse various systematic uncertainties in the distance measurement of SNe Ia and their impact on the inferred dark energy properties in the canonical Chevallier─Polarski─Linder model. We model systematic effects such as photometric calibration, progenitor and dust evolution, and uncertainty in the galactic extinction law. We find that all the dominant systematic errors shift the dark energy inference along the axis between DESI 2024 results and a Lambda cold dark matter cosmology. A 0.05 mag change in the calibration, and change in the Milky Way dust, can give rise to systematic-driven shifts on w0−wa constraints, comparable to the deviation reported from the DESI 2024 results. We forecast that the systematic uncertainties can shift the inference of w0−wa by a few times the error ellipse for future low- and high-z SN Ia compilations and, hence, it is critical to circumvent them to robustly test for deviations from Λ. A slider and visualization tool for quantifying the impact of systematic effects on the fitted cosmological parameters is publicly available.
| Original language | English |
|---|---|
| Pages (from-to) | 1626-1634 |
| Number of pages | 9 |
| Journal | Monthly Notices of the Royal Astronomical Society |
| Volume | 540 |
| Issue number | 2 |
| Early online date | 16 May 2025 |
| DOIs | |
| Publication status | Published - 3 Jun 2025 |
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Next Generation Supernova Cosmology
Dhawan, S. (Principal Investigator)
UKRI Horizon Europe Underwriting EPSRC
1/02/25 → 31/01/30
Project: Research Councils
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