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Galaxy redshift surveys are designed to map cosmic structures in three dimensions for large-scale structure studies. Nevertheless, limitations due to sampling and the survey window are unavoidable and degrade the cosmological constraints.…

宇宙学与河外天体物理 · 物理学 2022-04-01 N. Estrada , B. R. Granett , L. Guzzo

Parametric inference for spatial max-stable processes is difficult since the related likelihoods are unavailable. A composite likelihood approach based on the bivariate distribution of block maxima has been recently proposed in the…

应用统计 · 统计学 2012-05-08 Jean-Noel Bacro , Carlo Gaetan

The maximum likelihood detection rule for a four-dimensional direct-detection optical front-end is derived. The four dimensions are two intensities and two differential phases. Three different signal processing algorithms, composed of…

信息论 · 计算机科学 2021-05-31 Amir Tasbihi , Frank R. Kschischang

Spectrophotometric distances to stars observed by large spectroscopic surveys offer a crucial complement to parallax distances that remain very important also after the future Gaia data releases. Here we present a probabilistic approach to…

星系天体物理 · 物理学 2018-09-11 Johanna Coronado , Hans-Walter Rix , Wilma H. Trick

A method is developed for fitting theoretically predicted astronomical spectra to an observed spectrum. Using a hierarchical Bayesian principle, the method takes both systematic and statistical measurement errors into account, which has not…

天体物理学 · 物理学 2008-11-26 Z. Shkedy , L. Decin , G. Molenberghs , C. Aerts

Photometric surveys with the Hubble Space Telescope (HST) allow us to study stellar populations with high resolution and deep coverage, with estimates of the physical parameters of the constituent stars being typically obtained by comparing…

We explore the possibility of retrieving cosmological information from 21-cm tomographic data at intermediate redshift. The first step in our approach consists of training an encoder, composed of several three dimensional convolutional…

天体物理仪器与方法 · 物理学 2025-07-30 Sambatra Andrianomena

Globular Clusters (GCs) in the Milky Way represent the ideal laboratory to establish the age of the oldest stellar populations and to measure the color-magnitude relation of stars. Infrared (IR) photometry of these objects provides a new…

太阳与恒星天体物理 · 物理学 2018-09-19 Matteo Correnti , Mario Gennaro , Jason S. Kalirai , Roger E. Cohen , Thomas M. Brown

We have obtained broad-band near-infrared photometry for seven Galactic star clusters (M92, M15, M13, M5, NGC1851, M71 and NGC6791) using the WIRCam wide-field imager on the Canada-France-Hawaii Telescope, supplemented by images of NGC1851…

太阳与恒星天体物理 · 物理学 2015-05-20 Crystal Brasseur , Peter B. Stetson , Don A. VandenBerg , Luca Casagrande , Giuseppe Bono , Massimo Dall'Ora

We describe a Bayesian approach to estimating luminosity functions. We derive the likelihood function and posterior probability distribution for the luminosity function, given the observed data, and we compare the Bayesian approach with…

天体物理学 · 物理学 2009-11-13 Brandon C. Kelly , Xiaohui Fan , Marianne Vestergaard

Mass ratios of widely separated, long-period, resolved binary stars can be directly estimated from the available data in major space astrometry catalogs, such as the ESA's Hipparcos and Gaia mission results. The method is based on the…

太阳与恒星天体物理 · 物理学 2022-03-23 Valeri V. Makarov

Asteroseismology of bright stars with well-determined properties from parallax measurements and interferometry can yield precise stellar ages and meaningful constraints on the composition. We substantiate this claim with an updated…

太阳与恒星天体物理 · 物理学 2015-10-05 Travis S. Metcalfe , Orlagh L. Creevey , Guy R. Davies

Combined spectroscopic abundance analyses of stable and radioactive elements can be applied for deriving stellar ages. The achievable precision depends on factors related to spectroscopy, nucleosynthesis, and chemical evolution. We quantify…

天体物理仪器与方法 · 物理学 2015-05-14 H. -G. Ludwig , E. Caffau , M. Steffen , P. Bonifacio , L. Sbordone

This work introduces a Bayesian methodology for fitting large discrete graphical models with spike-and-slab priors to encode sparsity. We consider a quasi-likelihood approach that enables node-wise parallel computation resulting in reduced…

统计方法学 · 统计学 2019-10-21 Anwesha Bhattacharyya , Yves Atchade

We introduce a method to quantify the quality-of-fit between data and observables depending on the large scale Galactic magnetic field. We combine WMAP5 polarized synchrotron data and Rotation Measures of extragalactic sources in a joint…

星系天体物理 · 物理学 2009-07-22 Ronnie Jansson , Glennys R. Farrar , Andre H. Waelkens , Torsten A. Ensslin

Among dynamical modeling techniques, the made-to-measure (M2M) method for modeling steady-state systems is among the most flexible, allowing non-parametric distribution functions in complex gravitational potentials to be modeled efficiently…

星系天体物理 · 物理学 2017-11-28 Jo Bovy , Daisuke Kawata , Jason A. S. Hunt

We present new age and mass estimates for 920 stellar clusters in the Large Magellanic Cloud (LMC) based on previously published broad-band photometry and the stellar cluster analysis package, MASSCLEANage. Expressed in the generic fitting…

星系天体物理 · 物理学 2015-06-04 Bogdan Popescu , M. M. Hanson , Bruce G. Elmegreen

The combination of spectroscopic stellar metallicities and resolved star color-magnitude diagrams (CMDs) has the potential to constrain the entire star formation and chemical enrichment history (SFH) of a galaxy better than fitting CMDs…

天体物理仪器与方法 · 物理学 2016-07-20 Andrew E. Dolphin

We present the analysis of a deep colour-magnitude diagram (CMD) of NGC 1831, a rich star cluster in the LMC. The data were obtained with HST/WFPC2 in the F555W (~V) and F814W (~I) filters, reaching m_555 ~ 25. We discuss and apply a method…

天体物理学 · 物理学 2009-11-07 L. O. Kerber , B. X. Santiago , R. Castro , D. Valls-Gabaud

We present a data-driven method to estimate absolute magnitudes for O- and B-type stars from the LAMOST spectra, which we combine with {\it Gaia} parallaxes to infer distance and binarity. The method applies a neural network model trained…

太阳与恒星天体物理 · 物理学 2021-03-17 Mao-Sheng Xiang , Hans-Walter Rix , Yuan-Sen Ting , Eleonora Zari , Kareem El-Badry , Hai-Bo Yuan , Wen-Yuan Cui