English
Related papers

Related papers: Analysing the SEDs of protoplanetary disks with ma…

200 papers

Many physics and engineering applications demand Partial Differential Equations (PDE) property evaluations that are traditionally computed with resource-intensive high-fidelity numerical solvers. Data-driven surrogate models provide an…

Machine Learning · Computer Science 2023-12-18 Raphaël Pestourie , Youssef Mroueh , Chris Rackauckas , Payel Das , Steven G. Johnson

Inverse problems constrained by partial differential equations (PDEs) play a critical role in model development and calibration. In many applications, there are multiple uncertain parameters in a model which must be estimated. Although the…

Deep Gaussian process models typically employ discrete hierarchies, but recent advancements in differential Gaussian processes (DiffGPs) have extended these models to infinite depths. However, existing DiffGP approaches often overlook the…

Machine Learning · Computer Science 2025-12-16 Jian Xu , Zhiqi Lin , Min Chen , Junmei Yang , Delu Zeng , John Paisley

With the increasing number of deep multi-wavelength galaxy surveys, the spectral energy distribution (SED) of galaxies has become an invaluable tool for studying the formation of their structures and their evolution. In this context,…

Instrumentation and Methods for Astrophysics · Physics 2017-07-12 Joana Frontera-Pons , Florent Sureau , Jerome Bobin , Emeric Le Floc'h

We present a continuum radiative transfer model grid for fitting observed spectral energy distributions (SEDs) of massive protostars. The model grid is based on the paradigm of core accretion theory for massive star formation with…

Astrophysics of Galaxies · Physics 2018-01-31 Yichen Zhang , Jonathan C. Tan

When modeling and interpreting the spectral energy distributions (SEDs) of galaxies, the simple stellar population (SSP) model, star formation history (SFH) and dust attenuation law (DAL) are three of the most important components. However,…

Astrophysics of Galaxies · Physics 2019-01-08 Yunkun Han , Zhanwen Han

Detached eclipsing binaries are a fundamental tool for measuring the physical parameters of stars that are effectively evolving in isolation. Starting from more than 40,000 eclipsing binary candidates identified by the All-Sky Automated…

Solar and Stellar Astrophysics · Physics 2022-09-21 D. M. Rowan , T. Jayasinghe , K. Z. Stanek , C. S. Kochanek , Todd A. Thompson , B. J. Shappee , T. W. -S. Holoien , J. L. Prieto , W. Giles

The recent detections of extrasolar giant planets has revealed a surprising diversity of planetary system architectures, with many very unlike our Solar System. Understanding the origin of this diversity requires multi-wavelength studies of…

Astrophysics · Physics 2009-11-10 D. J. Wilner

The advances in variational inference are providing promising paths in Bayesian estimation problems. These advances make variational phylogenetic inference an alternative approach to Markov Chain Monte Carlo methods for approximating the…

Populations and Evolution · Quantitative Biology 2023-09-12 Amine M. Remita , Golrokh Vitae , Abdoulaye Baniré Diallo

There is a degeneracy in the radial velocity exoplanet signal between a single planet on an eccentric orbit and a two-planet system with a period ratio of 2:1. This degeneracy could lead to misunderstandings of the dynamical histories of…

Earth and Planetary Astrophysics · Physics 2018-08-29 John H. Boisvert , Benjamin E. Nelson , Jason H. Steffen

The early stages of planet formation, involving dust grain growth and planetesimals formation, remain shrouded in mystery. The analysis of the Scattering Phase Function (SPF) measured in disks surrounding young stars holds great potential…

Instrumentation and Methods for Astrophysics · Physics 2025-05-27 Maxime Roumesy , François Ménard , Ryo Tazaki , Gaspard Duchêne , Laurine Martinien , Rémi Zerna

The distribution of the weights of modern deep neural networks (DNNs) - crucial for uncertainty quantification and robustness - is an eminently complex object due to its extremely high dimensionality. This paper proposes one of the first…

Machine Learning · Statistics 2023-10-13 Olivier Laurent , Emanuel Aldea , Gianni Franchi

Spectral energy distribution (SED) in protostellar disks is determined by the disks'internal dissipation and reprocessing of irradiation from their host stars. Around T Tauri stars, most mid-infrared (MIR) radiation (in a few to a few ten…

Earth and Planetary Astrophysics · Physics 2015-05-30 Te T. Ke , Hao Huang , Douglas N. C. Lin

Recent spatially-resolved observations of protoplanetary disks revealed a plethora of substructures, including concentric rings and gaps, inner cavities, misalignments, spiral arms, and azimuthal asymmetries. This is the major breakthrough…

Earth and Planetary Astrophysics · Physics 2023-01-18 Jaehan Bae , Andrea Isella , Zhaohuan Zhu , Rebecca Martin , Satoshi Okuzumi , Scott Suriano

Resolved debris disc images can exhibit a range of radial and azimuthal structures, including gaps and rings, which can result from planetary companions shaping the disc by their gravitational influence. Currently there are no tools…

Earth and Planetary Astrophysics · Physics 2016-02-17 E. Thilliez , S. T. Maddison

While protoplanetary disks (PPDs) are generally thought to disperse within several million years, recent observations have revealed gas in their older counterparts, debris disks. The origin of this gas remains uncertain, with one…

Earth and Planetary Astrophysics · Physics 2025-02-27 Wataru Ooyama , Riouhei Nakatani , Takashi Hosokawa , Hiroto Mitani , Neal J. Turner

The abundance and distribution of ice in protoplanetary disks (PPD) is critical to understand the linkage between the composition of circumstellar matter and the composition of exoplanets. Edge-on PPDs are a useful tool to constrain such…

Determination of the composition and size distribution of dust grains in debris discs is strongly dependent on constraining the underlying spatial distribution of that dust through multi-wavelength, spatially resolved imaging spanning…

Earth and Planetary Astrophysics · Physics 2025-12-16 J. P. Marshall , S. Hengst , R. Young , F. Kemper , L. Matrà , N. Pawellek , H. Kobayashi , P. Scicluna , S. T. Zeegers

Spectral estimation (SE) aims to identify how the energy of a signal (e.g., a time series) is distributed across different frequencies. This can become particularly challenging when only partial and noisy observations of the signal are…

Machine Learning · Statistics 2019-01-15 Felipe Tobar

We present simple analytic solutions for the ionization rate $\zeta_{\rm{SLR}}$ arising from the decay of short-lived radionuclides (SLRs) within protoplanetary disks. We solve the radiative transfer problem for the decay products within…

Solar and Stellar Astrophysics · Physics 2015-06-17 L. Ilsedore Cleeves , Fred C. Adams , Edwin A. Bergin , Ruud Visser