# Machine learning improved fits of the sound horizon at the baryon drag epoch

@article{Aizpuru2021MachineLI, title={Machine learning improved fits of the sound horizon at the baryon drag epoch}, author={Andoni Aizpuru and Rub{\'e}n Arjona and Savvas Nesseris}, journal={Physical Review D}, year={2021} }

The baryon acoustic oscillations (BAO) have proven to be an invaluable tool in constraining the expansion history of the Universe at late times and are characterized by the comoving sound horizon at the baryon drag epoch rs(zd). The latter quantity can be calculated either numerically using recombination codes or via fitting functions, such as the one by Eisenstein and Hu (EH), made via grids of parameters of the recombination history. Here we quantify the accuracy of these expressions and show…

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## References

SHOWING 1-10 OF 51 REFERENCES

### Accuracy of cosmological parameters using the baryon acoustic scale

- Physics
- 2015

Percent-level measurements of the comoving baryon acoustic scale standard ruler can be used to break degeneracies in parameter constraints from the CMB alone. The sound horizon at the epoch of baryon…

### Machine learning meets the redshift evolution of the CMB temperature

- PhysicsJournal of Cosmology and Astroparticle Physics
- 2020

We present a model independent and non-parametric reconstruction with a Machine Learning algorithm of the redshift evolution of the Cosmic Microwave Background (CMB) temperature from a wide redshift…

### A new perspective on dark energy modeling via genetic algorithms

- Physics
- 2012

We use Genetic Algorithms to extract information from several cosmological probes, such as the type Ia supernovae (SnIa), the Baryon Acoustic Oscillations (BAO) and the growth rate of matter…

### Baryon Acoustic Oscillations and the Hubble constant: past, present and future

- PhysicsJournal of Cosmology and Astroparticle Physics
- 2019

We investigate constraints on the Hubble constant (H0) using Baryon Acoustic Oscillations (BAO) and baryon density measurements from Big Bang Nucleosynthesis (BBN). We start by investigating the…

### Robust and model-independent cosmological constraints from distance measurements

- PhysicsJournal of Cosmology and Astroparticle Physics
- 2019

We present a systematic analysis of the cosmological constraints from the “Pantheon Sample” of 1048 Type Ia Supernovae (SNe Ia) in the redshift range 0.01<z<2.3 compiled by Scolnic et al. (2018).…

### Baryonic Features in the Matter Transfer Function

- Physics
- 1998

We provide scaling relations and fitting formulae for adiabatic cold dark matter cosmologies that account for all baryon effects in the matter transfer function to better than 10% in the large-scale…

### Hints of dark energy anisotropic stress using machine learning

- PhysicsJournal of Cosmology and Astroparticle Physics
- 2020

Recent analyses of the Planck data and quasars at high redshifts have suggested possible deviations from the flat Λ cold dark matter model (ΛCDM), where Λ is the cosmological constant. Here we use…

### Estimating the impact of recombination uncertainties on the cosmological parameter constraints from cosmic microwave background experiments

- Physics
- 2010

We use our most recent training set for the Rico code to estimate the impact of recom- bination uncertainties on the posterior probability distributions which will be obtained from future CMB…

### Euclid: Forecast constraints on the cosmic distance duality relation with complementary external probes

- PhysicsAstronomy & Astrophysics
- 2020

Context. In metric theories of gravity with photon number conservation, the luminosity and angular diameter distances are related via the Etherington relation, also known as the distance duality…

### The 6dF Galaxy Survey: baryon acoustic oscillations and the local Hubble constant

- Physics
- 2011

We analyse the large-scale correlation function of the 6dF Galaxy Survey (6dFGS) and detect a baryon acoustic oscillation (BAO) signal at 105h −1 Mpc. The 6dFGS BAO detection allows us to constrain…