REVIEW 8 cited by
Type Ia Supernova Distances at z > 1.5 from the Hubble Space Telescope Multi-Cycle Treasury Programs: The Early Expansion Rate
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
read the original abstract
We present an analysis of 15 Type Ia supernovae (SNe Ia) at redshift z > 1 (9 at 1.5 < z < 2.3) recently discovered in the CANDELS and CLASH Multi-Cycle Treasury programs using WFC3 on the Hubble Space Telescope. We combine these SNe Ia with a new compilation of 1050 SNe Ia, jointly calibrated and corrected for simulated survey biases to produce accurate distance measurements. We present unbiased constraints on the expansion rate at six redshifts in the range 0.07 < z < 1.5 based only on this combined SN Ia sample. The added leverage of our new sample at z > 1.5 leads to a factor of ~3 improvement in the determination of the expansion rate at z = 1.5, reducing its uncertainty to ~20%, a measurement of H(z=1.5)/H0=2.67 (+0.83,-0.52). We then demonstrate that these six measurements alone provide a nearly identical characterization of dark energy as the full SN sample, making them an efficient compression of the SN Ia data. The new sample of SNe Ia at z > 1 usefully distinguishes between alternative cosmological models and unmodeled evolution of the SN Ia distance indicators, placing empirical limits on the latter. Finally, employing a realistic simulation of a potential WFIRST SN survey observing strategy, we forecast optimistic future constraints on the expansion rate from SNe Ia.
Forward citations
Cited by 8 Pith papers
-
A Simulation Based Inference Approach to Modelling of Type Ia Supernova Populations
A simulation-based inference pipeline (Stjörnumál) fits SN Ia dust and intrinsic scatter models to DES 5-year data, enabling fast Bayesian model comparison across seven SN Ia population models.
-
JWST Medium-Resolution Infrared Spectroscopy of SN 2022acko: Tracing Molecule Formation in the Nebular Phase
JWST spectra of SN 2022acko reveal CO masses of 1.55e-4 and 2.47e-4 solar masses, IME velocities ~300 km/s vs ~100 km/s for H/He/IGEs suggesting bipolar outflow, and substantially less molecule formation than higher-m...
-
Observational constraints on vector-like dark energy
Pantheon and H(z) data force the cosmic triad vector dark energy model to sit very close to the LambdaCDM limit.
-
ZTF SN Ia DR2 follow-up: early excess in Type Ia supernova light curves
Up to about a quarter of Type Ia supernovae may have an early light-curve bump, but the candidate list depends strongly on the detection method and neither leading explosion model is clearly preferred.
-
Investigating the cosmic distance duality relation with gamma-ray bursts
Combined gamma-ray burst and multi-probe data show no significant violation of the cosmic distance duality relation and prefer a Planck-like Hubble constant.
-
Robustness of dark energy phenomenology across different parameterizations
The viability of minimally and non-minimally coupled quintessence models is robust across CPL, JBP, BA, and EXP parameterizations, with all four reproducing the models' predicted observables accurately.
-
Updated constraints on Regge-Teitelboim gravity
Planck and low-redshift data constrain the Stern-Xu Regge-Teitelboim extra acceleration component to Ω_RT < 0.006 at 95% confidence, making the model observationally indistinguishable from ΛCDM.
-
Constraints on Dark Energy Models Using Late Universe Probes
Using late-universe probes only, the authors find all dark energy models remain within 1-2 sigma of Lambda CDM, which wins the Bayesian model comparison, and confirm that DESI's LRG1 and LRG2 points drive the dynamica...
Discussion (0). Continue with ORCID to comment.