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Related papers: DSPS: Differentiable Stellar Population Synthesis

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Using a sample of 126000 late-type galaxies from the SDSS, we analyzed stellar mass as a function of the dynamical mass. Stellar masses are estimated using eight stellar population synthesis (SPS) models with constant IMF, while dynamical…

Compact Object Mergers: Population Astrophysics and Statistics (COMPAS; https://compas.science) is a public rapid binary population synthesis code. COMPAS generates populations of isolated stellar binaries under a set of parametrized…

Understanding the star-formation properties of galaxies as a function of cosmic epoch is a critical exercise in studies of galaxy evolution. Traditionally, stellar population synthesis models have been used to obtain best fit parameters…

Astrophysics of Galaxies · Physics 2020-03-04 Shraddha Surana , Yogesh Wadadekar , Omkar Bait , Hrushikesh Bhosle

We present a new stellar population synthesis model, which predicts SEDs for single-age single-metallicity stellar populations, SSPs, at resolution 1.5A (FWHM) in the spectral region of the near-IR CaII triplet feature. The main ingredient…

Astrophysics · Physics 2009-11-07 A. Vazdekis , A. J. Cenarro , J. Gorgas , N. Cardiel , R. F. Peletier

Understanding galaxy morphology evolution across cosmic time requires models that can generate realistic galaxy populations conditioned on redshift. In this work, we study efficient redshift-conditioned generative modeling for astrophysical…

Instrumentation and Methods for Astrophysics · Physics 2026-05-19 Tianyue Yang , Sandro Tacchella , Xiao Xue

Models for the formation and evolution of galaxies readily predict physical properties such as the star formation rates, metal enrichment histories, and, increasingly, gas and dust content of synthetic galaxies. Such predictions are…

Cosmology and Nongalactic Astrophysics · Physics 2009-12-15 Charlie Conroy , Martin White , James E. Gunn

Observations show that nearly all star clusters and stellar populations contain blue straggler stars (BSs). BSs in a cluster can significantly enhance the integrated spectrum of the host population, preferentially at short wavelengths, and…

Solar and Stellar Astrophysics · Physics 2015-05-20 Yu Xin , Licai Deng , Richard de Grijs , Pavel Kroupa

The purpose of this letter is to compare the quality of different methods for estimating stellar masses of galaxies. We compare the results of (a) fitting stellar population synthesis models to broad band colors from SDSS and 2MASS, (b) the…

Astrophysics · Physics 2009-11-10 N. Drory , R. Bender , U. Hopp

[Abridged]. We present SEDs for single-age, single-metallicity stellar populations (SSPs) covering the optical range at resolution 2.3A (FWHM). These SEDs constitute our base models, as they combine scaled-solar isochrones with MILES…

Cosmology and Nongalactic Astrophysics · Physics 2010-04-27 A. Vazdekis , P. Sánchez-Blázquez , J. Falcón-Barroso , A. J. Cenarro , M. A. Beasley , N. Cardiel , J. Gorgas , R. F. Peletier

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

For the next generation of spectroscopic galaxy surveys, it is important to forecast their performances and to accurately interpret their large data sets. For this purpose, it is necessary to consistently simulate different populations of…

Astrophysics of Galaxies · Physics 2020-07-01 Martina Fagioli , Luca Tortorelli , Jörg Herbel , Dominik Zürcher , Alexandre Refregier , Adam Amara

Stellar population synthesis (SPS) is essential for understanding galaxy formation and evolution. However, the recent discovery of rotation-driven phenomena in star clusters warrants a review of uncertainties in SPS models caused by…

Astrophysics of Galaxies · Physics 2024-01-08 Weijia Sun

In this paper, I review to what extent we can understand the photometric properties of star clusters, and of low-mass, unresolved galaxies, in terms of population synthesis models designed to describe `simple stellar populations' (SSPs),…

Astrophysics of Galaxies · Physics 2009-11-05 A. Gustavo Bruzual

This project establishes parameters to characterize galaxy Star Formation History (SFH) beyond mean stellar age. We use ages at which fixed star fractions form to characterize SFH duration. We define Deltaage_n = (age_10 - age_90)/age_50…

Astrophysics of Galaxies · Physics 2025-07-09 Edoardo Rossi

We present our methods for generating a catalog of 7,000 synthetic images and 40,000 integrated spectra of redshift z = 0 galaxies from the Illustris Simulation. The mock data products are produced by using stellar population synthesis…

The forward modelling of galaxy surveys has recently gathered interest as one of the primary methods to achieve the required precision on the estimate of the redshift distributions for stage IV surveys. One of the key aspects of forward…

Cosmology and Nongalactic Astrophysics · Physics 2024-09-11 Luca Tortorelli , Jamie McCullough , Daniel Gruen

We present piXedfit, pixelized spectral energy distribution (SED) fitting, a Python package that provides tools for analyzing spatially resolved properties of galaxies using multiband imaging data alone or in combination with integral field…

Astrophysics of Galaxies · Physics 2021-05-05 Abdurro'uf , Yen-Ting Lin , Po-Feng Wu , Masayuki Akiyama

Synthesis models predict the integrated properties of stellar populations. Several problems exist in this field, mostly related to the fact that integrated properties are distributed. To date, this aspect has been either ignored (as in…

Astrophysics · Physics 2009-11-11 M. Cervino , V. Luridiana , N. Cervino-Luridiana

Diffusion Probabilistic Models (DPMs) have achieved considerable success in generation tasks. As sampling from DPMs is equivalent to solving diffusion SDE or ODE which is time-consuming, numerous fast sampling methods built upon improved…

Machine Learning · Computer Science 2025-06-26 Shuchen Xue , Mingyang Yi , Weijian Luo , Shifeng Zhang , Jiacheng Sun , Zhenguo Li , Zhi-Ming Ma