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Traditional spectral energy distribution (SED) fitting codes used to derive galaxy physical properties are often uncertain at the factor of a few level owing to uncertainties in galaxy star formation histories and dust attenuation curves.…

星系天体物理 · 物理学 2021-08-04 Sankalp Gilda , Sidney Lower , Desika Narayanan

We present a new-generation tool to model and interpret spectral energy distributions (SEDs) of galaxies, which incorporates in a consistent way the production of radiation and its transfer through the interstellar and intergalactic media.…

星系天体物理 · 物理学 2016-10-06 Jacopo Chevallard , Stéphane Charlot

We present GOSSIP (Galaxy Observed-Simulated SED Interactive Program), a new tool developed to perform SED fitting in a simple, user friendly and efficient way. GOSSIP automatically builds-up the observed SED of an object (or a large sample…

天体物理学 · 物理学 2008-01-17 P. Franzetti , M. Scodeggio , B. Garilli , M. Fumana , L. Paioro

Fostered by upcoming data from new generation observational campaigns, we are about to enter a new era for the study of how galaxies form and evolve. The unprecedented quantity of data that will be collected, from distances only marginally…

We present a convenient, all-in-one framework for the scientific analysis of fully reduced, (integral-field) spectroscopic data. The GIST pipeline (Galaxy IFU Spectroscopy Tool) is entirely written in Python3 and conducts all steps from the…

We present simulated galaxy spectral energy distributions (SEDs) from the far ultraviolet through the far infrared, created using hydrodynamic simulations and radiative transfer calculations, suitable for the validation of SED modeling…

星系天体物理 · 物理学 2023-05-18 Nicholas Faucher , Michael R. Blanton , Andrea V. Macciò

We build a theoretical picture of how the light from galaxies evolves across cosmic time. In particular, we predict the evolution of the galaxy spectral energy distribution (SED) by carefully integrating the star formation and metal…

星系天体物理 · 物理学 2020-06-23 Dian Triani , Darren Croton , Manodeep Sinha

Fitting the spectral energy distributions (SEDs) of galaxies is an almost universally used technique that has matured significantly in the last decade. Model predictions and fitting procedures have improved significantly over this time,…

宇宙学与河外天体物理 · 物理学 2015-05-19 C. J. Walcher , B. Groves , T. Budavari , D. Dale

We study the sources of biases and systematics in the derivation of galaxy properties of observational studies, focusing on stellar masses, star formation rates, gas/stellar metallicities, stellar ages and magnitudes/colors. We use…

星系天体物理 · 物理学 2015-10-16 Giovanni Guidi , Cecilia Scannapieco , C. Jakob Walcher

We present a set of open-source web tools for visualization of spectral and imaging data, which we use in the second Reference Catalogue of Spectral Energy Distributions of galaxies RCSEDv2 (https://rcsed2.voxastro.org/). Using modern web…

Understanding puffing topography (PT), which includes puff duration, intra-puff interval, and puff count per session, is critical for evaluating Electronic Nicotine Delivery Systems (ENDS) use, toxicant exposure, and informing regulatory…

软件工程 · 计算机科学 2026-04-29 Shehan Irteza Pranto , Brett Fassler , Md Rafi Islam , Ashley Schenkel , Larry W. Hawk , Edward Sazonov

The spectral energy distribution (SED) of a galaxy represents the distribution of electromagnetic radiation emitted across all wavelengths, from radio waves to gamma rays. The galaxy SED is akin to its fingerprint, and serves as a…

星系天体物理 · 物理学 2025-02-26 Kartheik G. Iyer , Camilla Pacifici , Gabriela Calistro-Rivera , Christopher C. Lovell

A new cosmic shear analysis pipeline SUNGLASS (Simulated UNiverses for Gravitational Lensing Analysis and Shear Surveys) is introduced. SUNGLASS is a pipeline that rapidly generates simulated universes for weak lensing and cosmic shear…

宇宙学与河外天体物理 · 物理学 2015-05-20 A. Kiessling , A. F. Heavens , A. N. Taylor

Spectral energy distributions (SEDs) are useful primary and complementary tools in the analysis of observations of young stars. However, the process of collating, inspecting, and flux-converting archival photometry and spectroscopy to build…

太阳与恒星天体物理 · 物理学 2021-04-09 Claire L Davies

Galaxy spectral energy distribution (SED) modelling is a powerful tool, but constraining how well it is able to infer the true values for galaxy properties (e.g. the star formation rate, SFR) is difficult because independent determinations…

星系天体物理 · 物理学 2014-11-26 Christopher C. Hayward , Daniel J. B. Smith

We present a simple, physically-motivated model to interpret consistently the emission from galaxies at ultraviolet, optical and infrared wavelengths. We combine this model with a Bayesian method to obtain robust statistical constraints on…

宇宙学与河外天体物理 · 物理学 2015-06-03 Elisabete da Cunha , Stephane Charlot , Loretta Dunne , Dan Smith , Kate Rowlands

Using the radiative transfer code Torus, we produce spectral-line cubes of the predicted HI profile from global SPH simulations of spiral galaxies. Torus grids the SPH galaxy using Adaptive Mesh Refinement, then applies a ray-tracing method…

星系天体物理 · 物理学 2009-09-02 Kevin A. Douglas , David Acreman , Clare Dobbs , Chris Brunt

The spectral energy distributions (SEDs) of galaxies are shaped by nearly every physical property of the system, including the star formation history, metal content, abundance pattern, dust mass, grain size distribution, star-dust geometry,…

宇宙学与河外天体物理 · 物理学 2015-06-12 Charlie Conroy

The spectral energy distribution (SED) of galaxies provides fundamental information on the related physical processes. However, the SED is significantly affected by dust in its interstellar medium. Dust is mainly produced by asymptotic…

星系天体物理 · 物理学 2022-05-25 Kazuki Y. Nishida , Tsutomu T. Takeuchi , Takuma Nagata , Ryosuke S. Asano

We present a simple, largely empirical but physically motivated model, which is designed to interpret consistently multi-wavelength observations from large samples of galaxies in terms of physical parameters, such as star formation rate,…

宇宙学与河外天体物理 · 物理学 2015-05-14 Elisabete da Cunha , Stephane Charlot , David Elbaz
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