2.2k citations · 8.8k across the 53 of their papers we have counts for
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How to measure metallicity from five-band photometry with supervised machine learning algorithms
Viviana Acquaviva
We demonstrate that it is possible to measure metallicity from the SDSS five-band photometry to better than 0.1 dex using supervised machine learning algorithms. Using spectroscopi…
Bayesian Redshift Classification of Emission-line Galaxies with Photometric Equivalent Widths
Andrew S. Leung, Viviana Acquaviva, Eric Gawiser +13
We present a Bayesian approach to the redshift classification of emission-line galaxies when only a single emission line is detected spectroscopically. We consider the case of surv…
A Critical Assessment of Stellar Mass Measurement Methods
Bahram Mobasher, Tomas Dahlen, Henry C. Ferguson +34
In this paper we perform a comprehensive study of the main sources of random and systematic errors in stellar mass measurement for galaxies using their Spectral Energy Distribution…
Simultaneous Estimation of Photometric Redshifts and SED Parameters: Improved Techniques and a Realistic Error Budget
Viviana Acquaviva, Anand Raichoor, Eric Gawiser
We seek to improve the accuracy of joint galaxy photometric redshift estimation and spectral energy distribution (SED) fitting. By simulating different sources of uncorrected syste…