128 citations · 385 across the 11 of their papers we have counts for
11 papers
SDSS-IV MaStar: Determination of Stellar Parameters Using Bayesian Averaging
Yan-Ping Chen, Renbin Yan, Szabolcs Mészáros +12
We present the stellar parameters for 59,266 high-quality spectra of 24,130 unique stars from the MaNGA Stellar Library (MaStar) in the Sloan Digital Sky Survey (SDSS) Data Release…
iMaNGA: mock MaNGA galaxies based on IllustrisTNG and MaStar SSPs -- II. The catalogue
Lorenza Nanni, Daniel Thomas, James Trayford +8
Strengthening the synergy between simulations and observations is essential to test galaxy formation and evolution theories. To achieve this goal, in the first paper of this series…
SDSS-IV MaStar: Stellar Parameter Determination with Continuum-Supplemented Full-Spectrum Fitting
Daniel Lazarz, Renbin Yan, Ronald Wilhelm +13
We present a stellar parameter catalog built to accompany the MaStar Stellar Library, which is a comprehensive collection of empirical, medium-resolution stellar spectra. We constr…
iMaNGA: mock MaNGA galaxies based on IllustrisTNG and MaStar SSPs. I. Construction and analysis of the mock data cubes
Lorenza Nanni, Daniel Thomas, James Trayford +8
Galaxy formation and evolution simulations are essential tools to probe poorly known astrophysics processes, but particular care is needed to compare simulations with galaxy observ…
The Seventeenth Data Release of the Sloan Digital Sky Surveys: Complete Release of MaNGA, MaStar and APOGEE-2 Data
Abdurro'uf, Katherine Accetta, Conny Aerts +337
This paper documents the seventeenth data release (DR17) from the Sloan Digital Sky Surveys; the fifth and final release from the fourth phase (SDSS-IV). DR17 contains the complete…
SDSS-IV MaStar: Data-driven Parameter Derivation for the MaStar Stellar Library
Julie Imig, Jon A. Holtzman, Renbin Yan +10
The MaNGA Stellar Library (MaStar) is a large collection of high-quality empirical stellar spectra designed to cover all spectral types and ideal for use in the stellar population…
SDSS-IV MaStar: Theoretical Atmospheric Parameters for the MaNGA Stellar Library
Lewis Hill, Daniel Thomas, Claudia Maraston +16
We calculate the fundamental stellar parameters effective temperature, surface gravity and iron abundance - T, log g, [Fe/H] - for the final release of the Mapping Near…
SDSS-IV MaNGA: Modeling the Spectral Line Spread Function to Sub-Percent Accuracy
David R. Law, Kyle B. Westfall, Matthew A. Bershady +10
The SDSS-IV Mapping Nearby Galaxies at APO (MaNGA) program has been operating from 2014-2020, and has now observed a sample of 9,269 galaxies in the low redshift universe (z ~ 0.05…
Stellar parameters for the First Release of the MaStar Library: An Empirical Approach
Yan-Ping Chen, Renbin Yan, Claudia Maraston +10
We report the stellar atmospheric parameters for 7503 spectra contained in the first release of the MaNGA stellar library (MaStar) in SDSS DR15. The first release of MaStar contain…
Stellar population models based on the SDSS-IV MaStar library of stellar spectra. I. Intermediate-age/old models
C. Maraston, L. Hill, D. Thomas +14
We use the first release of the SDSS/MaStar stellar library comprising ~9000, high S/N spectra, to calculate integrated spectra of stellar population models. The models extend over…
SDSS-IV MaStar -- A Large and Comprehensive Empirical Stellar Spectral Library: First Release
Renbin Yan, Yanping Chen, Daniel Lazarz +45
We present the first release of the MaNGA Stellar Library (MaStar), which is a large, well-calibrated, high-quality empirical library covering the wavelength range of 3,622-10,354A…