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Astrophysics Source Code Library

Making codes discoverable since 1999

Searching for codes credited to 'Corsaro, E.'

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Found 2 codes.

[ascl:2504.002] PBjam: Automating asteroseismology of solar-like oscillators
Nielsen, M. B.; Davies, G. R.; Ball, W. H.; Lyttle, A. J.; Li, T.; Hall, O. J.; Chaplin, W. J.; Gaulme, P.; Carboneau, L.; Ong, J. M. J.; García, R. A.; Mosser, B.; Roxburgh, I. W.; Corsaro, E.; Benomar, O.; Moya, A.; Lund, M. N.; Hatt, E.; Jones, B. P.; Logue, M.
PBjam analyzes the oscillation spectra of solar-like oscillators. The code performs two main tasks: identifying a set of modes of interest in a spectrum of oscillations, and accurately modeling those modes to measure their frequencies. Mode identification relies on a large set of previous observations of the model parameters, which are then used to construct a prior distribution to inform the sampling. PJjam models the modes using a nested sampling or MCMC algorithm, where Lorentzian profiles are fit to each of the identified modes.
[ascl:2006.021] FAMED: Extraction and mode identification of oscillation frequencies for solar-like pulsators
Corsaro, E.; McKeever, J. M.; Kuszlewicz, J. S.
The FAMED (Fast and AutoMated pEak bagging with Diamonds) pipeline is a multi-platform parallelized software that performs and automates extraction and mode identification of oscillation frequencies for solar-like pulsators. The pipeline can be applied to a large variety of stars, ranging from hot F-type main sequence, up to stars evolving along the red giant branch, settled into the core-Helium-burning main sequence, and even evolved beyond towards the early asymptotic giant branch. FAMED is based on DIAMONDS (ascl:1410.001), a Bayesian parameter estimation and model comparison by means of the nested sampling Monte Carlo (NSMC) algorithm.