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DESI 2024 IV: Baryon Acoustic Oscillations from the Lyman Alpha Forest (2404.03001v4)

Published 3 Apr 2024 in astro-ph.CO

Abstract: We present the measurement of Baryon Acoustic Oscillations (BAO) from the Lyman-$\alpha$ (Ly$\alpha$) forest of high-redshift quasars with the first-year dataset of the Dark Energy Spectroscopic Instrument (DESI). Our analysis uses over $420\,000$ Ly$\alpha$ forest spectra and their correlation with the spatial distribution of more than $700\,000$ quasars. An essential facet of this work is the development of a new analysis methodology on a blinded dataset. We conducted rigorous tests using synthetic data to ensure the reliability of our methodology and findings before unblinding. Additionally, we conducted multiple data splits to assess the consistency of the results and scrutinized various analysis approaches to confirm their robustness. For a given value of the sound horizon ($r_d$), we measure the expansion at $z_{\rm eff}=2.33$ with 2\% precision, $H(z_{\rm eff}) = (239.2 \pm 4.8) (147.09~{\rm Mpc} /r_d)$ km/s/Mpc. Similarly, we present a 2.4\% measurement of the transverse comoving distance to the same redshift, $D_M(z_{\rm eff}) = (5.84 \pm 0.14) (r_d/147.09~{\rm Mpc})$ Gpc. Together with other DESI BAO measurements at lower redshifts, these results are used in a companion paper to constrain cosmological parameters.

Citations (67)

Summary

Insightful Overview of "DESI 2024 IV: Baryon Acoustic Oscillations from the Lyman Alpha Forest"

The document titled "DESI 2024 IV: Baryon Acoustic Oscillations from the Lyman Alpha Forest," authored by the DESI collaboration, focuses on the measurement of Baryon Acoustic Oscillations (BAO) using the Lyman-α\alpha forest in high-redshift quasars. This paper is part of the larger effort by the Dark Energy Spectroscopic Instrument (DESI) to provide precise measurements of BAO across different redshifts, which are crucial for probing the cosmic expansion history and, consequently, the nature of dark energy.

Key Methodologies and Findings

  1. Dataset and Methodology:
    • The analysis utilizes over 420,000 Lyman-α\alpha forest spectra and coordinates them with more than 700,000 quasars. The paper introduces new methodologies for analyzing these datasets, stressing the importance of reliability by applying blind analysis techniques and validation through synthetic datasets.
  2. Observations and Results:
    • An expansion measurement is reported at z=2.33z=2.33 with 2% precision, equivalent to H(z)=(239.2±4.8)(147.09 Mpc/rd)km/s/MpcH(z) = (239.2 \pm 4.8) \cdot (147.09~Mpc / r_d) \text{km/s/Mpc}.
    • The transverse comoving distance is similarly measured with 2.4% precision as DM(z)=(5.84±0.14)(rd/147.09 Mpc)D_M(z) = (5.84 \pm 0.14) \cdot (r_d/147.09~Mpc) Gpc. These precision measurements are essential to constrain cosmological parameters.

Implications for Cosmology

The robust constraints on cosmological distances derived from BAO play a vital role in improving theoretical models, particularly those related to the cosmic acceleration and dark energy. The results from this paper, combined with other measurements at lower redshifts, are expected to provide valuable constraints on varying cosmological models, including those tweaking the Λ\LambdaCDM framework.

Comparison and Future Directions

Comparing DESI results with previous studies, particularly those using Sloan Digital Sky Survey (SDSS) data, shows DESI's strides in precision and coverage. The DESI has leveraged advancements in instrumentation and analysis methodologies to provide finer precision in the measurements of BAO scales. Looking forward, improvements in technology and data analysis methods promise further enhancement in accuracy, offering insights into the early universe's dynamics and the role of dark energy.

Conclusion

The paper provides strong evidence for the BAO phenomena and demonstrates the effectiveness of DESI's methodologies. As DESI continues its campaign, the accumulated data will further refine our understanding of cosmic expansion, thereby enhancing the theoretical frameworks we rely on to comprehend our universe's past, present, and future. The insights from DESI will likely lead to significant contributions towards solving the dark energy puzzle, consolidating its role at the forefront of cosmological research.

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