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End-to-end deep learning models fed with multi-band galaxy images are powerful data-driven tools used to estimate galaxy physical properties in the absence of spectroscopy. However, due to a lack of interpretability and the associational…

Instrumentation and Methods for Astrophysics · Physics 2025-11-26 Wei Zhang , Qiufan Lin , Yuan-Sen Ting , Shupei Chen , Hengxin Ruan , Song Li , Yifan Wang

Recent observations by the James Webb Space Telescope (JWST) have revealed the presence of bright and well-formed galaxies at high redshifts, challenging the predictions of the standard Lambda-Cold Dark Matter (LCDM) cosmological model.…

Astrophysics of Galaxies · Physics 2024-12-05 J. W. Moffat

Although decades of effort have been devoted to building Physical-Conceptual (PC) models for predicting the time-series evolution of geoscientific systems, recent work shows that Machine Learning (ML) based Gated Recurrent Neural Network…

Machine Learning · Computer Science 2024-05-14 Yuan-Heng Wang , Hoshin V. Gupta

Reproducing color-magnitude diagrams (CMDs) of star-resolved galaxies is one of the most precise methods for measuring the star formation history (SFH) of nearby galaxies back to the earliest time. The upcoming big data era poses challenges…

Astrophysics of Galaxies · Physics 2024-10-17 Yujiao Yang , Chao Liu , Ming Yang , Yun Zheng , Hao Tian

We use hydrodynamic cosmological simulations to predict the star formation properties of high-redshift galaxies (z=2-6) in five variants of the inflationary cold dark matter scenario, paying particular attention to z=3, the redshift of the…

Astrophysics · Physics 2009-10-31 David H. Weinberg , Lars Hernquist , Neal Katz

The study of the spatially resolved Star Formation Rate-Mass (Sigma_SFR-Sigma_M) relation gives important insights on how galaxies assemble at different spatial scales. Here we present the analysis of the Sigma_SFR-Sigma_M of 40 local…

(Abridged) The Census of High- and Medium-mass Protostars (CHaMP) is the first large-scale (280 degree<l<300 degree, -4 degree<b<2 degree), unbiased, sub-parsec resolution survey of Galactic molecular clumps and their embedded stars. Barnes…

Astrophysics of Galaxies · Physics 2015-06-12 Bo Ma , Jonathan C. Tan , Peter J. Barnes

The star formation rate density (SFRD) is an important tool in galaxy evolution that allows us to identify at which cosmic time galaxies are more efficient at forming stars. For low-mass star-forming galaxies, the SFRD as a function of…

Astrophysics of Galaxies · Physics 2025-04-07 G. G. Murrell , I. K. Baldry

The details of bulge formation via collapse, mergers, secular processes or their interplay remain unresolved. To start answering this question and quantify the importance of distinct mechanisms, we mapped a sample of three galactic bulges…

We investigate the relation between star formation rate (SFR) and stellar mass ($M_*$) in sub-galactic ($\sim 1$kpc) scale of 93 local ($0.01<z<0.02$) massive ($M_*>10^{10.5}M_{\odot}$) spiral galaxies. To derive spatially-resolved SFR and…

Astrophysics of Galaxies · Physics 2017-11-08 Abdurro'uf , Masayuki Akiyama

We exploit deep observations of the GOODS-N field taken with PACS, on board of Herschel, as part of the PEP guaranteed time, to study the link between star formation and stellar mass in galaxies to z~2. Starting from a stellar mass-selected…

In this work we estimate the Star Formation Rate (SFR) through 333 Long-GRBs detected by Swift. This investigation is based on the empirical model proposed by Y\"uksel et al. (2008), basically, the SFR is estimated using long-GRBs…

Astrophysics of Galaxies · Physics 2020-06-08 M. Elías-Chávez , O. M. Martínez

Surrogate modeling is a viable solution for applications involving repetitive evaluations of expensive computational fluid dynamics models, such as uncertainty quantification and inverse problems. This study proposes a multi-layer…

Fluid Dynamics · Physics 2024-06-24 Gurpreet S. Hora , Marco G. Giometto

Radio synchrotron emission originates from both massive star formation and black hole accretion, two processes that drive galaxy evolution. Efficient classification of sources dominated by either process is therefore essential for fully…

Astrophysics of Galaxies · Physics 2025-10-02 Walter Silima , Fangxia An , Mattia Vaccari , Eslam A. Hussein , S. Randriamampandry

Physical parameters of galaxies (as luminosity, stellar mass, age) are often derived by means of the model templates which best fit their spectro-photometric data. We have performed a quantitative test aimed at exploring the ability of this…

Astrophysics · Physics 2010-11-11 Marcella Longhetti , Paolo Saracco , Arturo Mignano

We present radial profiles of surface brightness in UV and IR bands, estimate stellar mass surface density ($\Sigma_\star$) and star formation rate surface density ($\Sigma_\mathrm{SFR}$), and predict the CO-to-H$_2$ conversion factor…

In models of galaxy formation in a hierarchical Universe, elliptical galaxies form through the merging of smaller disk systems. These models yield a number of testable predictions if reliable techniques for determining the relative ages and…

Astrophysics · Physics 2007-05-23 Daniel Thomas , Guinevere Kauffmann

The availability of high-quality spectra for a large number of galaxies in the SDSS survey allows for a more sophisticated extraction of information about their stellar populations than, e.g., the luminosity weighted age. Indeed,…

Astrophysics · Physics 2009-11-13 Raul Jimenez , Alan F. Heavens , Ben Panter , Rita Tojeiro

In this paper, we test the age matching hypothesis that the star formation rate (SFR) of a galaxy of fixed stellar mass is determined by its dark matter halo formation history, and as such, that more quiescent galaxies reside in older…

We discuss the statistical foundations of morphological star-galaxy separation. We show that many of the star-galaxy separation metrics in common use today (e.g. by SDSS or SExtractor) are closely related both to each other, and to the…

Instrumentation and Methods for Astrophysics · Physics 2020-01-29 Colin T. Slater , Željko Ivezić , Robert H. Lupton