A 3% Solution: Determination of the Hubble Constant with the Hubble Space Telescope and Wide Field Camera 3
Adam G. Riess (JHU, STScI), Lucas Macri (Texas A&M), Stefano Casertano, (STScI), Hubert Lampeitl (U of Portsmouth), Henry C. Ferguson (STScI), Alexei, V. Filippenko (UCB), Saurabh W. Jha (Rutgers), Weidong Li (UCB), and Ryan, Chornock (Harvard CfA)

TL;DR
This paper refines the measurement of the Hubble constant using Hubble Space Telescope data, achieving higher precision through expanded Cepheid observations and improved calibration methods, impacting cosmological models and dark energy constraints.
Contribution
The study introduces enhanced calibration techniques and increased sample sizes, reducing uncertainties in the Hubble constant measurement compared to previous efforts.
Findings
H0 measured at 73.8 ± 2.4 km s-1 Mpc-1 with 3.3% uncertainty
Reduced uncertainty in H0 from 3.5% to 2.3%
Constraints on dark energy parameters and ruling out certain cosmological models
Abstract
We use the Wide Field Camera 3 (WFC3) on the Hubble Space Telescope to determine the Hubble constant (H0) from optical and infrared observations of over 600 Cepheid variables in the host galaxies of 8 recent Type Ia supernovae (SNe Ia), providing the calibration for a mag-z relation of 253 SNe Ia. Increased precision over past measurements comes from: (1) more than doubling the number of infrared observations of Cepheids in nearby SN hosts; (2) increasing the sample of ideal SN Ia calibrators from six to eight; (3) increasing by 20% the number of Cepheids with infrared observations in the megamaser host NGC 4258; (4) reducing the difference in the mean metallicity of the Cepheid comparison samples from \Delta log [O/H] = 0.08 to 0.05; and (5) calibrating all optical Cepheid colors with one camera, WFC3, to remove cross-instrument zero-point errors. Uncertainty in H0 from beyond the 1st…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
