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The Dark Energy Survey Supernova Program: Investigating Beyond-$Λ$CDM (2406.05048v2)

Published 7 Jun 2024 in astro-ph.CO

Abstract: We report constraints on a variety of non-standard cosmological models using the full 5-year photometrically-classified type Ia supernova sample from the Dark Energy Survey (DES-SN5YR). Both Akaike Information Criterion (AIC) and Suspiciousness calculations find no strong evidence for or against any of the non-standard models we explore. When combined with external probes, the AIC and Suspiciousness agree that 11 of the 15 models are moderately preferred over Flat-$\Lambda$CDM suggesting additional flexibility in our cosmological models may be required beyond the cosmological constant. We also provide a detailed discussion of all cosmological assumptions that appear in the DES supernova cosmology analyses, evaluate their impact, and provide guidance on using the DES Hubble diagram to test non-standard models. An approximate cosmological model, used to perform bias corrections to the data holds the biggest potential for harbouring cosmological assumptions. We show that even if the approximate cosmological model is constructed with a matter density shifted by $\Delta\Omega_m\sim0.2$ from the true matter density of a simulated data set the bias that arises is sub-dominant to statistical uncertainties. Nevertheless, we present and validate a methodology to reduce this bias.

Citations (2)

Summary

  • The paper demonstrates that non-standard cosmological models can provide a statistically favorable alternative to ΛCDM in describing cosmic acceleration.
  • The study employs a robust analysis of a five-year DES supernova dataset with simulations and bias corrections to validate model assumptions.
  • It suggests that dynamic dark energy models may alleviate observational tensions such as the Hubble constant discrepancy, guiding future surveys.

Investigating Beyond-ΛCDM: The Dark Energy Survey Supernova Program

The paper "The Dark Energy Survey Supernova Program: Investigating Beyond-ΛCDM" by Camilleri et al. presents an extensive analysis of non-standard cosmological models using the data from the Dark Energy Survey (DES) supernovae program. The authors utilize the comprehensive five-year supernova dataset obtained from the DES to probe limitations in the standard cosmological model, ΛCDM, which posits dark energy in the form of a cosmological constant and cold dark matter as the primary constituents of the universe.

Research Perspectives

The standard cosmological model, ΛCDM, although successful in many respects, faces various theoretical issues and observational discrepancies such as the Hubble tension, where different methods of measuring the universe's expansion yield conflicting values. This has led researchers to explore alternative models that modify the formulation of dark energy and its interaction with matter.

The paper discusses several classes of non-standard cosmological models:

  1. Parametric Models: These include generalizations where the dark energy equation of state, traditionally constant, is allowed to vary. Models such as Flat-w0waw_0 w_aCDM are considered, offering flexibility by introducing parameters that evolve with redshift.
  2. Thawing Models: These unify dark energy with scalar field dynamics, proposing scenarios where the equation of state evolves from a cosmological constant to a time-varying quantity during cosmic evolution.
  3. Chaplygin Gas Models: Both the standard and generalizations are examined, which propose a unified evolution of dark energy and dark matter through an exotic fluid description.
  4. Interacting Dark Energy and Dark Matter: These models allow for interactions between dark energy and dark matter components, potentially solving observational tensions.
  5. Modified Gravity Models: The paper investigates gravitational theories beyond general relativity, like those inspired by brane-world scenarios, where gravity may operate differently at cosmic scales.

Methodological Approach

The authors employ the DES dataset, which is the largest supernova sample to date, ensuring robust statistical analyses. The paper incorporates various tests, critical evaluations of underlying assumptions, and extensive simulations to validate the cosmological models. Bias corrections are meticulously applied to mitigate selection and measurement biases inherent in the observational data.

Results and Interpretations

One noteworthy result is that several non-standard models provide a statistically favorable fit to the data when compared to ΛCDM, especially when combined with external cosmological measurements like those from the CMB (Cosmic Microwave Background) and BAO (Baryon Acoustic Oscillations). Importantly, models beyond ΛCDM are found to potentially alleviate the Hubble tension, suggesting that additional flexibility in describing dark energy could be necessary.

Moreover, the paper highlights that despite the complexity of introducing new parameters into cosmological models, many of these alternatives (e.g., thawing models) align well with observational data without invoking significant inconsistencies or violating fundamental cosmological principles.

Implications and Future Directions

The pursuit of refining our cosmological model is crucial, and this paper exemplifies the potential pathways through which our current model can be tested, challenged, and extended. Future observational programs and surveys, such as the upcoming LSST (Legacy Survey of Space and Time), will provide data with even higher precision, allowing researchers to explore the dynamics of dark energy and the large-scale structure of the cosmos.

Further advancements in understanding could come from:

  • Enhanced theoretical modeling of dynamic dark energy fields.
  • Improved simulations that incorporate non-standard cosmologies.
  • Cross-disciplinary approaches that integrate astronomical observations with particle physics insights.

The paper concludes that while ΛCDM continues to serve as a robust framework for understanding our universe, the ongoing exploration of these alternative models could potentially lead to a deeper understanding of fundamental physics and the true nature of dark energy.

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