Vollständiger Abstract
Worum geht es in dieser Arbeit?
We present a model-independent, sound-horizon-free measurement of the Hubble constant H 0 using baryon acoustic oscillation (BAO) tracers from the Dark Energy Spectroscopic Instrument data release 2 (DESI DR2). The function reconstructions are performed using the artificial neural network method, which is a completely data-driven approach that avoids the mild Λ cold dark matter prior dependence. Our approach is based on the distance duality relation and combines three complementary observational probes, such as type Ia supernovae (SNe), cosmic chronometer, and DESI DR2 BAO—without requiring any knowledge of the sound horizon scale r d or any assumption about the absolute luminosity of SNe Ia. We obtain a joint constraint of H 0 = 71.5 ± 2.2 km s − 1 Mpc − 1 at 68% confidence for 1000 bootstrap realizations and 4096 neurons, which is consistent with the tip of the red giant branch result and the SH0ES measurement within 0.6 σ , consistent with the Planck 2020 result within 2 σ . Our results favor a higher value of H 0 compared to the Planck cosmic microwave background inference, adding independent support for the reality of the Hubble tension.
Bibliografischer Nachweis
Publikationsdaten
- Autor:innen
- Gaurav N. Gadbail, Kazuharu Bamba
- Quelle
- Physical Review D
- Publikation
- 2026-01-01
- Band / Ausgabe
- Nicht angegeben
- Seiten
- Nicht angegeben
- ISSN / ISBN
- 2470-0010, 2470-0029
- Zitationen
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Zitierfähiger Nachweis
Gaurav N. Gadbail, Kazuharu Bamba (2026). Sound-horizon-free measurement of the Hubble constant from DESI DR2 baryon acoustic oscillations using artificial neural networks. Physical Review D. https://doi.org/10.1103/29rq-lgby
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