DIAMONDS: A new Bayesian nested sampling tool - Application to peak bagging of solar-like oscillations

  title={DIAMONDS: A new Bayesian nested sampling tool - Application to peak bagging of solar-like oscillations},
  author={Enrico Corsaro and Joris De Ridder},
  journal={Astronomy and Astrophysics},
Context. Thanks to the advent of the space-based missions CoRoT and NASA’s Kepler, the asteroseismology of solar-like oscillations is now at the base of our understanding about stellar physics. The Kepler spacecraft, especially, is releasing excellent photometric observations of more than three years length in high duty cycle, which contain a large amount of information that has not yet been investigated. Aims. To exploit the full potential of Kepler light curves, sophisticated and robust… 

Tutorial: Asteroseismic Data Analysis with DIAMONDS

Since the advent of the space-based photometric missions such as CoRoT and NASA’s Kepler, asteroseismology has acquired a central role in our understanding about stellar physics. The Kepler

Peak Bagging of red giant stars observed by Kepler: first results with a new method based on Bayesian nested sampling

The peak bagging analysis, namely the fitting and identification of single oscillation modes in stars' power spectra, coupled to the very high-quality light curves of red giant stars observed by

Bayesian peak bagging analysis of 19 low-mass low-luminosity red giants observed with Kepler

Context. Non-radial oscillations, observed in thousands of red giants by the space missions CoRoT and Kepler, allow us to greatly improve our understanding of stellar structure and evolution in

BESTP — An automated Bayesian modeling tool for asteroseismology

Asteroseismic observations are crucial to constrain stellar models with precision. Bayesian Estimation of STellar Parameters (BESTP) is a tool that utilizes Bayesian statistics and nested sampling

Fast and Automated Oscillation Frequency Extraction Using Bayesian Multi-Modality

Since the advent of CoRoT, and NASA Kepler and K2, the number of low- and intermediate-mass stars classified as pulsators has increased very rapidly with time, now accounting for several $10^4$

Detection and Characterization of Oscillating Red Giants: First Results from the TESS Satellite

Since the onset of the “space revolution” of high-precision high-cadence photometry, asteroseismology has been demonstrated as a powerful tool for informing Galactic archeology investigations. The

First detection of oscillations in the Halo giant HD 122563: Validation of seismic scaling relations and new parameters

Aims. The nearby metal-poor giant HD 122563 is an important astrophysical laboratory in which to test stellar atmospheric and interior physics. It is also a benchmark star for which to calibrate

Deep Learning Applied to the Asteroseismic Modeling of Stars with Coherent Oscillation Modes

  • L. HendriksC. Aerts
  • Geology, Physics
    Publications of the Astronomical Society of the Pacific
  • 2019
We develop a novel method based on machine-learning principles to achieve optimal initiation of CPU-intensive computations for forward asteroseismic modeling in a multi-dimensional parameter space. A

A survey for occultation astrometry of main belt: expected astrometric performances

The limiting factor in the use of occultation astrometry is not the light curve uncertainty, but the knowledge of the asteroid's shape and size, which is valid in a wide range of flux drops and magnitudes of the occulted star.

Fast and Automated Peak Bagging with DIAMONDS (FAMED)

Stars of low and intermediate mass that exhibit oscillations may show tens of detectable oscillation modes each. Oscillation modes are a powerful to constrain the internal structure and rotational



Bayesian peak-bagging of solar-like oscillators using MCMC: a comprehensive guide

Context. Asteroseismology has entered a new era with the advent of the NASA Kepler mission. Long and continuous photometric observations of unprecedented quality are now available which have

The solar-like oscillations of HD 49933: a Bayesian approach

Context. Asteroseismology has entered a new era with the availability of continuous observations from space-borne missions such as MOST, CoRoT and Kepler. However, the low amplitude and the

A Bayesian approach to scaling relations for amplitudes of solar-like oscillations in Kepler stars

We investigate dierent amplitude scaling relations adopted for the asteroseismology of stars that show solar-like oscillations. Amplitudes are among the most challenging asteroseismic quantities to

MultiNest: an efficient and robust Bayesian inference tool for cosmology and particle physics

The developments presented here lead to further improvements in sampling efficiency and robustness, as compared to the original algorit hm presented in Feroz & Hobson (2008), which itself significantly outperformed existi ng MCMC techniques in a wide range of astrophysical inference problems.


The Kepler Mission seeks to detect Earth-size planets transiting solar-like stars in its ∼115 deg2 field of view over the course of its 3.5 year primary mission by monitoring the brightness of each


The Kepler Mission, launched on 2009 March 6, was designed with the explicit capability to detect Earth-size planets in the habitable zone of solar-like stars using the transit photometry method.

Oscillating red giants in the CoRoT exofield: asteroseismic mass and radius determination

Context. Observations and analysis of solar-type oscillations in red-giant stars is an emerging aspect of asteroseismic analysis with a number of open questions yet to be explored. Although

Bayes in the sky: Bayesian inference and model selection in cosmology

This review is an introduction to Bayesian methods in cosmology and astrophysics and recent results in the field, and presents Bayesian probability theory and its conceptual underpinnings, Bayes' Theorem and the role of priors.

Efficient Bayesian inference for multimodal problems in cosmology

This paper introduces a method of clustered nested sampling whereby ellipsoidal clusters can form on any peaks identified, improving the efficiency by a factor which is equal to the ratio of the volumes enclosed by the set of small clusteredEllipsoids and the large single ellipse that would necessarily be required without clustering.

On the detection of Lorentzian profiles in a power spectrum: a Bayesian approach using ignorance priors

Aims. Deriving accurate frequencies, amplitudes, and mode lifetimes from stochastically driven pulsation is challenging, more so, if one demands that realistic error estimates be given for all model