A dark standard siren measurement of the Hubble constant following LIGO/Virgo/KAGRA O4a and previous runs
C. R. Bom, V. Alfradique, A. Palmese, G. Teixeira, L. Santana-Silva,, A. Santos, P. Darc

TL;DR
This paper uses a new galaxy catalog and deep learning to improve dark siren measurements of the Hubble constant, achieving more precise constraints by combining multiple gravitational wave events from LIGO/Virgo/KAGRA data.
Contribution
It introduces a deep learning approach for photometric redshift estimation and combines multiple dark and bright siren data to refine H0 measurements.
Findings
H0 = 70.4^{+13.6}_{-11.7} km/s/Mpc with 15 dark sirens
23% improvement over previous dark siren constraints
6% precision when combining dark and bright sirens
Abstract
We present a new constraint on the Hubble constant () from the standard dark siren method using a sample of well-covered gravitational waves (GW) alerts reported during the first part of the fourth LIGO/Virgo/KAGRA observing run and with updated standard dark sirens from third observation run in combination the previous constraints from the first three runs. Our methodology relies on the galaxy catalogue method alone. We use a Deep Learning method to derive the full probability density estimation of photometric redshifts using the Legacy Survey catalogues. We add the constraints from well localized Binary Black Hole mergers to the sample of standard dark sirens analysed in our previous work. We combine the posterior for new standard sirens with other previous events (using the most recent available data for the 5 novel events and updated 3 previous posteriors…
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Taxonomy
TopicsAdaptive optics and wavefront sensing · Geophysics and Gravity Measurements · Astronomical Observations and Instrumentation
