Recent Papers

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ASAIP provides titles, authors, abstracts, publication details & links to several hundred articles in the astronomical literature since 2010 concerning astrostatistics and astroinformatics. ASAIP members are encouraged to contribute additional articles. Click on the categories on the left to see a quasi-chronological list of papers. Use the search box at the upper-right to see papers with specified keywords (title, authors, abstracts, journal).

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Recently Added Papers

An improved SPH scheme for cosmological simulations
Beck, A. M.; Murante, G.; Arth, A.; Remus, R.-S.; Teklu, A. F.; Donnert, J. M. F.; Planelles, S.; Beck, M. C.; Förster, P.; Imgrund, M.; Dolag, K.; Borgani, S.

We present an implementation of smoothed particle hydrodynamics (SPH) with improved accuracy for simulations of galaxies and the large-scale structure. In particular, we implement and test a vast majority of SPH improvement in the developer version …

Automated detection of solar eruptions
Hurlburt, N.

Observation of the solar atmosphere reveals a wide range of motions, from small scale jets and spicules to global-scale coronal mass ejections (CMEs). Identifying and characterizing these motions are essential to advancing our understanding of the d …

Graph-based interpretation of the molecular interstellar medium segmentation
Colombo, D.; Rosolowsky, E.; Ginsburg, A.; Duarte-Cabral, A.; Hughes, A.

We present a generalization of the giant molecular cloud identification problem based on cluster analysis. The method we designed, SCIMES (Spectral Clustering for Interstellar Molecular Emission Segmentation) considers the dendrogram of emission in …

Temperature as a third dimension in column-density mapping of dusty astrophysical structures associated with star formation
Marsh, K. A.; Whitworth, A. P.; Lomax, O.

We present point process mapping (<monospace>PPMAP</monospace>), a Bayesian procedure that uses images of dust continuum emission at multiple wavelengths to produce resolution-enhanced image cubes of differential column density as a function of dust …

Precise astronomical flux calibration and its impact on studying the nature of the dark energy
Stubbs, Christopher W.; Brown, Yorke J.

Measurements of the luminosity of Type Ia supernovae versus redshift provided the original evidence for the accelerating expansion of the Universe and the existence of dark energy. Despite substantial improvements in survey methodology, systematic u …

The Palomar kernel-phase experiment: testing kernel phase interferometry for ground-based astronomical observations
Pope, Benjamin; Tuthill, Peter; Hinkley, Sasha; Ireland, Michael J.; Greenbaum, Alexandra; Latyshev, Alexey; Monnier, John D.; Martinache, Frantz

At present, the principal limitation on the resolution and contrast of astronomical imaging instruments comes from aberrations in the optical path, which may be imposed by the Earth’s turbulent atmosphere or by variations in the alignment and shape …

Covariance of lucky images for increasing objects contrast: diffraction-limited images in ground-based telescopes
Cagigal, Manuel P.; Valle, Pedro J.; Colodro-Conde, Carlos; Villó-Pérez, Isidro; Pérez-Garrido, Antonio

Images of stars adopt shapes far from the ideal Airy pattern due to atmospheric density fluctuations. Hence, diffraction-limited images can only be achieved by telescopes without atmospheric influence, e.g. spatial telescopes, or by using techniques …

Non-Gaussian Error Distributions of LMC Distance Moduli Measurements
Crandall, Sara; Ratra, Bharat

We construct error distributions for a compilation of 232 Large Magellanic Cloud (LMC) distance moduli values from de Grijs et al. that give an LMC distance modulus of (m – M)0 = 18.49 ± 0.13 mag (median and 1σ symmetrized error). Central estimate …

Mapping stellar content to dark matter haloes using galaxy clustering and galaxy-galaxy lensing in the SDSS DR7
Zu, Ying; Mandelbaum, Rachel

The mapping between the distributions of the observed galaxy stellar mass and the underlying dark matter haloes provides the crucial link from theories of large-scale structure formation to interpreting the complex phenomena of galaxy formation and …

On weak lensing shape noise
Niemi, Sami-Matias; Kitching, Thomas D.; Cropper, Mark

One of the most powerful techniques to study the dark sector of the Universe is weak gravitational lensing. In practice, to infer the reduced shear, weak lensing measures galaxy shapes, which are the consequence of both the intrinsic ellipticity of …

A demonstration of position angle-only weak lensing shear estimators on the GREAT3 simulations
Whittaker, Lee; Brown, Michael L.; Battye, Richard A.

We develop and apply the position angle-only shear estimator of Whittaker, Brown & Battye to realistic galaxy images. This is done by demonstrating the method on the simulations of the third GRavitational lEnsing Accuracy Testing (GREAT3) challenge, …

Spectro-photometric distances to stars: A general purpose Bayesian approach
Santiago, Basílio X.; Brauer, Dorothée E.; Anders, Friedrich; Chiappini, Cristina; Queiroz, Anna B.; Girardi, Léo; Rocha-Pinto, Helio J.; Balbinot, Eduardo; da Costa, Luiz N.; Maia, Marcio A. G.; Schultheis, Mathias; Steinmetz, Matthias; Miglio, Andrea; Montalbán, Josefina; Schneider, Donald P.; Beers, Timothy C.; Frinchaboy, Peter M.; Lee, Young Sun; Zasowski, Gail

Context. Determining distances to individual field stars is a necessary step towards mapping Galactic structure and determining spatial variations in the chemo-dynamical properties of stellar populations in the Milky Way. Aims: In order to provide …

The amazing diversity in the hot gas content of an X-ray unbiased massive galaxy clusters sample
Andreon, S.; Serra, Ana Laura; Moretti, A.; Trinchieri, G.

We aim to determine the intrinsic variety, at a given mass, of the properties of the intracluster medium in clusters of galaxies. This requires a cluster sample selected independently of the intracluster medium content for which reliable masses and …

ELM: an Algorithm to Estimate the Alpha Abundance from Low-resolution Spectra
Bu, Yude; Zhao, Gang; Pan, Jingchang; Bharat Kumar, Yerra

We have investigated a novel methodology using the extreme learning machine (ELM) algorithm to determine the α abundance of stars. Applying two methods based on the ELM algorithm—ELM+spectra and ELM+Lick indices—to the stellar spectra from the …

The MIP ensemble simulation: local ensemble statistics in the Cosmic Web
Aragon-Calvo, M. A.

We present a new technique that allows us to compute ensemble statistics on a local basis, directly relating halo properties to their local environment. This is achieved by the use of a correlated ensemble in which the large-scale structure (LSS) is …

Efficient, uninformative sampling of limb-darkening coefficients for a three-parameter law
Kipping, David M.

Stellar limb darkening impacts a wide range of astronomical measurements. The accuracy to which it is modelled limits the accuracy in any covariant parameters of interest, such as the radius of a transiting planet. With the ever growing availability …

Trans-dimensional Bayesian inference for gravitational lens substructures
Brewer, Brendon J.; Huijser, David; Lewis, Geraint F.

We introduce a Bayesian solution to the problem of inferring the density profile of strong gravitational lenses when the lens galaxy may contain multiple dark or faint substructures. The source and lens models are based on a superposition of an unkn …

A Bayesian approach to linear regression in astronomy
Sereno, Mauro

Linear regression is common in astronomical analyses. I discuss a Bayesian hierarchical modelling of data with heteroscedastic and possibly correlated measurement errors and intrinsic scatter. The method fully accounts for time evolution. The slope, …

Bayesian model selection without evidences: application to the dark energy equation-of-state
Hee, S.; Handley, W. J.; Hobson, M. P.; Lasenby, A. N.

A method is presented for Bayesian model selection without explicitly computing evidences, by using a combined likelihood and introducing an integer model selection parameter n so that Bayes factors, or more generally posterior odds ratios, may be r …

Cosmological parameter inference from galaxy clustering: the effect of the posterior distribution of the power spectrum
Kalus, B.; Percival, W. J.; Samushia, L.

We consider the shape of the posterior distribution to be used when fitting cosmological models to power spectra measured from galaxy surveys. At very large scales, Gaussian posterior distributions in the power do not approximate the posterior distr …