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The cosmic microwave background power spectra are a primary window into the early universe. However, achieving interpretable, likelihood-compatible compression and fast inference under weak model assumptions remains challenging. We propose…

宇宙学与河外天体物理 · 物理学 2025-11-03 Tian-Yang Sun , Tian-Nuo Li , He Wang , Jing-Fei Zhang , Xin Zhang

We present DE-VAE, a variational autoencoder (VAE) architecture to search for a compressed representation of dynamical dark energy (DE) models in observational studies of the cosmic large-scale structure. DE-VAE is trained on matter power…

宇宙学与河外天体物理 · 物理学 2024-07-10 Davide Piras , Lucas Lombriser

We consider an Early Dark Energy (EDE) cosmological model, and perform an analysis which takes into account both background and perturbation effects via the parameters $c^{2}_{\rm eff}$ and $c^{2}_{\rm vis}$, representing effective sound…

宇宙学与河外天体物理 · 物理学 2020-07-17 Hasti Khoraminezhad , Matteo Viel , Carlo Baccigalupi , Maria Archidiacono

Recent cosmological data reveal tension between parameters inferred from measurements of the cosmic microwave background (CMB), baryon acoustic oscillations (BAO), and supernovae (SN) under $\Lambda$CDM. Typical dynamical dark energy…

宇宙学与河外天体物理 · 物理学 2026-04-10 Tanisha Jhaveri , Tanvi Karwal , Thomas Crawford , Wayne Hu , Ali Rida Khalife , Lennart Balkenhol , Fei Ge

The early dark energy (EDE) model is one of the promising solutions to the Hubble tension. One of the successes of the EDE model is that it can provide a similar fit to the $\Lambda$CDM model for the CMB power spectrum. In this work, I…

宇宙学与河外天体物理 · 物理学 2025-02-10 Jun-Qian Jiang

We investigate observational constraints on cosmological parameters combining 15 measurements of the transversal BAO scale (obtained free of any fiducial cosmology) with Planck-CMB data to explore the parametric space of some cosmological…

宇宙学与河外天体物理 · 物理学 2020-08-10 Rafael C. Nunes , Santosh K. Yadav , J. F. Jesus , Armando Bernui

It is well known that there are several long-standing problems implying the discordance of the $\Lambda$CDM model. Although most of the models proposed to resolve these problems assume that dark matter is pressureless, it is still possible…

宇宙学与河外天体物理 · 物理学 2024-05-31 Yan-Hong Yao , Jun-Chao Wang , Xin-He Meng

In order to explain the current acceleration of the Universe, the fine tuning problem of the cosmological constant $\Lambda$ and the cosmic coincidence problem, different alternative models have been proposed in the literature. We use the…

宇宙学与河外天体物理 · 物理学 2019-05-13 Alexander Bonilla Rivera , Jorge García Farieta

We investigate constraints on some key cosmological parameters by confronting metastable dark energy models with different combinations of the most recent cosmological observations. Along with the standard $\Lambda$CDM model, two…

宇宙学与河外天体物理 · 物理学 2020-01-14 Xiaolei Li , Arman Shafieloo , Varun Sahni , Alexei A. Starobinsky

We propose a model-independent parametrization of dark energy motivated by thermodynamics. To this aim, we consider Pad\'e polynomials to reconstruct the form of deceleration parameter adequate to describe different epochs of cosmic history…

宇宙学与河外天体物理 · 物理学 2022-05-24 Salvatore Capozziello , Rocco D'Agostino , Orlando Luongo

This paper aims to perform a phenomenological parametrisation of the standard cosmological model, $\Lambda$CDM, to weigh the different physical processes that define the pattern of the angular power spectra of the Cosmic Microwave…

宇宙学与河外天体物理 · 物理学 2022-11-22 M. Ruiz-Granda , P. Vielva

Accurate cosmological parameter estimates using polarization data of the cosmic microwave background (CMB) put stringent requirements on map calibration, as highlighted in the recent results from the Planck satellite. In this paper, we…

宇宙学与河外天体物理 · 物理学 2021-07-21 Silvia Galli , W. L. Kimmy Wu , Karim Benabed , François Bouchet , Thomas M. Crawford , Eric Hivon

We review and update constraints on the Early Dark Energy (EDE) model from cosmological data sets, in particular Planck PR3 and PR4 cosmic microwave background (CMB) data and large-scale structure (LSS) data sets including galaxy clustering…

宇宙学与河外天体物理 · 物理学 2024-08-30 Evan McDonough , J. Colin Hill , Mikhail M. Ivanov , Adrien La Posta , Michael W. Toomey

We demonstrate that for a cosmic variance limited experiment, CMB E polarization alone places stronger constraints on cosmological parameters than CMB temperature. For example, we show that EE can constrain parameters better than TT by up…

The $\Lambda$ cold dark matter ($\Lambda\textrm{CDM}$) model is currently known as the simplest cosmology model that best describes observations with minimal number of parameters. Here we introduce a cosmology model that is preferred over…

宇宙学与河外天体物理 · 物理学 2015-03-05 Chan-Gyung Park

We present a Bayesian analysis of cosmological parameter constraints from early- and late-universe observations, focusing on the matter density parameter ($\Omega_m$) and the amplitude of matter fluctuations ($\sigma_8$) within the…

宇宙学与河外天体物理 · 物理学 2026-01-13 Manjeet Kunwar , Nabin Bhusal , Manil Khatiwada , Niraj Dhital

Most dark energy models have the $\Lambda$CDM as their limit, and if future observations constrain our universe to be close to $\Lambda$CDM Bayesian arguments about the evidence and the fine-tuning will have to be employed to discriminate…

宇宙学与河外天体物理 · 物理学 2018-11-27 Olga Avsajanishvili , Yiwen Huang , Lado Samushia , Tina Kahniashvili

The early dark energy (EDE) extension to $\Lambda$CDM has been proposed as a candidate scenario to resolve the "Hubble tension". We present new constraints on the EDE model by incorporating new data from the Dark Energy Spectroscopic…

宇宙学与河外天体物理 · 物理学 2024-04-26 Frank J. Qu , Kristen M. Surrao , Boris Bolliet , J. Colin Hill , Blake D. Sherwin , Hidde T. Jense

The measurements of the cosmic microwave background (CMB) have played a significant role in understanding the nature of dark energy. In this article, we investigate the dynamics of the dark energy equation of state, utilizing high-precision…

宇宙学与河外天体物理 · 物理学 2024-07-23 Mahdi Najafi , Supriya Pan , Eleonora Di Valentino , Javad T. Firouzjaee
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