BA
Brett H. Andrews
astro-ph.GAastro-ph.IMastro-ph.COastro-ph.SRcs.LGstat.MEstat.MLastro-ph.HEphysics.gen-ph
On Valency
published · living versionsW_k8bznkcm·v1 · currentpublished
SDSS-IV MaNGA: Refining Strong Line Diagnostic Classifications Using Spatially Resolved Gas Dynamics
with David R. Law, Xihan Ji, Francesco Belfiore, Matthew A. Bershady +6
1 version
W_spydx862·v1published
W_tct389yc·v1published
W_8ctawbxj·v1published
W_xhxevuuw·v1published
Preprints & journals
69 papers in the corpus · 2010–2026Extending SOMPZ beyond Spectroscopic Coverage for Roman Weak Lensing2610.24066v1 · Yufei Zhen, Chun-Hao To, Boyan Yin et al.2026 · 0 citationsarXiv
Robust Photometry for Roman High-Latitude Imaging Survey Cosmology Using Roman and Rubin Imaging2607.09849v1 · Chun-Hao To, Tae-Hyeon Shin, Chihway Chang et al.2026 · 0 citationsarXiv
Deep Spectroscopy with DESI for Photometric Redshift Training and Calibration2604.06143v1 · Biprateep Dey, Jeffrey A. Newman, Tianqing Zhang et al.2026 · 0 citationsarXiv
Highly Efficient Selection of High-Redshift Emission-Line Galaxies for future DESI-like surveys with Deep Multi-band Imaging2602.20405v1 · Yoquelbin Salcedo Hernandez, Jeffrey A. Newman, Brett. H. Andrews et al.2026 · 0 citationsarXiv
Optimizing Deep Learning Photometric Redshifts for the Roman Space Telescope with HST/CANDELS2602.10207v2 · Ashod Khederlarian, Brett H. Andrews, Jeffrey A. Newman et al.2026 · 0 citationsarXiv
Modeling Redshift Uncertainties in Roman Weak Lensing Cosmology2602.09230v2 · Diogo H. F. de Souza, Boyan Yin, Tim Eifler et al.2026 · 0 citationsarXiv
Optimizing Photometric Redshift Training Sets I: Efficient Compression of the Galaxy Color-Redshift Relation with UMAP2512.09032v3 · Finian Ashmead, Jeffrey A. Newman, Brett H. Andrews et al.2025 · 0 citationsarXiv
Photometric Redshift Estimation for Rubin Observatory Data Preview 1 with Redshift Assessment Infrastructure Layers (RAIL)2510.07370v1 · T. Zhang, E. Charles, J.F. Crenshaw et al.2025 · 2 citationsMon Not R Astron Soc (2026)
Deep Learning Improves Photometric Redshifts in All Regions of Color Space2507.06299v2 · Emma R. Moran, Brett H. Andrews, Jeffrey A. Newman et al.2025 · 2 citationsarXiv
DESI Massive Post-Starburst Galaxies at have compact structures and dense cores2407.21257v2 · Yunchong Zhang, David J. Setton, Sedona H. Price et al.2024 · 8 citationsarXiv
Emission Line Predictions for Mock Galaxy Catalogues: a New Differentiable and Empirical Mapping from DESI2404.03055v2 · Ashod Khederlarian, Jeffrey A. Newman, Brett H. Andrews et al.2024 · 6 citationsMonthly Notices of the Royal Astronomical Society, Volume 531, Issue 1, June 2024, Pages 1454 - 1470
Improving Photometric Redshift Estimates with Training Sample Augmentation2402.15551v2 · Irene Moskowitz, Eric Gawiser, John Franklin Crenshaw et al.2024 · 12 citationsApJL 967 L6 (2024)
The CluMPR Galaxy Cluster-Finding Algorithm and DESI Legacy Survey Galaxy Cluster Catalogue2307.10426v3 · M. J. Yantovski-Barth, Jeffrey A. Newman, Biprateep Dey et al.2023 · 13 citationsMonthly Notices of the Royal Astronomical Society, Volume 531, Issue 2, June 2024, Pages 2285-2303
The Gas-Phase Mass--Metallicity Relation for Massive Galaxies at with the LEGA-C Survey2304.12343v1 · Zach J. Lewis, Brett H. Andrews, Rachel Bezanson et al.2023 · 2 citationsarXiv
Are Milky-Way-like galaxies like the Milky Way? A view from SDSS-IV/MaNGA2212.09127v2 · Shuang Zhou, Alfonso Arag'on-Salamanca, Michael Merrifield et al.2022 · 8 citationsarXiv
DESI Survey Validation Spectra Reveal an Increasing Fraction of Recently Quenched Galaxies at 2212.05070v2 · David J. Setton, Biprateep Dey, Gourav Khullar et al.2022 · 10 citationsarXiv
Empirically-Driven Multiwavelength K-corrections At Low Redshift2212.03263v1 · Catherine E. Fielder, Brett H. Andrews, Jeffrey A. Newman et al.2022 · 2 citationsarXiv
Optimized Photometric Redshifts for the Cosmic Assembly Near-Infrared Deep Extragalactic Legacy Survey (CANDELS)2210.01140v2 · Dritan Kodra, Brett H. Andrews, Jeffrey A. Newman et al.2022 · 48 citationsarXiv
Towards Instance-Wise Calibration: Local Amortized Diagnostics and Reshaping of Conditional Densities (LADaR)2205.14568v8 · Biprateep Dey, David Zhao, Brett H. Andrews et al.2022 · 10 citationsarXiv
SDSS-IV MaNGA: How the stellar populations of passive central galaxies depend on stellar and halo mass2205.12999v1 · Grecco A. Oyarzun, Kevin Bundy, Kyle B. Westfall et al.2022 · 16 citationsarXiv
How well do local relations predict gas-phase metallicity gradients? Results from SDSS-IV MaNGA2205.08241v3 · Nicholas F. Boardman, Gail Zasowski, Jeffrey A. Newman et al.2022 · 16 citationsarXiv
SDSS-IV MaNGA: Exploring the local scaling relations for N/O2203.17026v1 · Adam L. Schaefer, Christy Tremonti, Guinevere Kauffmann et al.2022 · 10 citationsarXiv
Photometric Redshifts from SDSS Images with an Interpretable Deep Capsule Network2112.03939v2 · Biprateep Dey, Brett H. Andrews, Jeffrey A. Newman et al.2021 · 35 citationsMNRAS Vol 515 Issue 4 October 2022 Pgs 5285 5305
The Seventeenth Data Release of the Sloan Digital Sky Surveys: Complete Release of MaNGA, MaStar and APOGEE-2 Data2112.02026v2 · Abdurro'uf, Katherine Accetta, Conny Aerts et al.2021 · 1,291 citationsarXiv
Re-calibrating Photometric Redshift Probability Distributions Using Feature-space Regression2110.15209v2 · Biprateep Dey, Jeffrey A. Newman, Brett H. Andrews et al.2021 · 4 citationsarXiv
Constraining the Milky Way's Ultraviolet to Infrared SED with Gaussian Process Regression2106.14900v3 · Catherine E. Fielder, Jeffrey A. Newman, Brett H. Andrews et al.2021 · 13 citationsarXiv
SDSS-IV MaNGA: Radial Gradients in Stellar Population Properties of Early-Type and Late-Type Galaxies2102.06703v1 · Taniya Parikh, Daniel Thomas, Claudia Maraston et al.2021 · 59 citationsMNRAS 502, 5508-5527 (2021)
SDSS-IV MaNGA: the "G-dwarf problem" revisited2101.11022v1 · Michael J. Greener, Michael Merrifield, Alfonso Arag'on-Salamanca et al.2021 · 13 citationsarXiv
Evidence for the Accretion of Gas in Star-Forming Galaxies: High N/O Abundances in Regions of Anomalously-Low Metallicity2012.04073v1 · Yuanze Luo, Timothy Heckman, Hsiang-Chih Hwang et al.2020 · 22 citationsarXiv
SDSS-IV MaNGA: Refining Strong Line Diagnostic Classifications Using Spatially Resolved Gas Dynamics2011.06012v2 · David R. Law, Xihan Ji, Francesco Belfiore et al.2020 · 68 citationsarXivon Valency
Are the Milky Way and Andromeda unusual? A comparison with Milky Way and Andromeda Analogs2009.02576v2 · Nicholas Fraser Boardman, Gail Zasowski, Jeffrey Newman et al.2020 · 32 citationsarXiv
The Close Binary Fraction as a Function of Stellar Parameters in APOGEE: A Strong Anti-Correlation With Abundances2007.09059v2 · Christine N. Mazzola, Carles Badenes, Maxwell Moe et al.2020 · 57 citationsarXivon Valency
SDSS-IV MaNGA: Spatially resolved star formation in barred galaxies2005.08987v1 · Amelia Fraser-McKelvie, Alfonso Arag'on-Salamanca, Michael Merrifield et al.2020 · 59 citationsarXiv
SDSS-IV MaNGA: spatially resolved dust attenuation in spiral galaxies2005.02772v1 · Michael J. Greener, Alfonso Arag'on-Salamanca, Michael R. Merrifield et al.2020 · 31 citationsarXiv
The Sixteenth Data Release of the Sloan Digital Sky Surveys: First Release from the APOGEE-2 Southern Survey and Full Release of eBOSS Spectra1912.02905v2 · Romina Ahumada, Carlos Allende Prieto, Andres Almeida et al.2019 · 1,414 citationsarXivon Valency
SDSS-IV MaNGA: Variations in the N/O -- O/H relation bias metallicity gradient measurements1911.00581v2 · Adam L. Schaefer, Christy Tremonti, Francesco Belfiore et al.2019 · 39 citationsarXiv
Milky Way Analogues in MaNGA: Multi-Parameter Homogeneity and Comparison to the Milky Way1910.12896v2 · Nicholas Fraser Boardman, Gail Zasowski, Anil Seth et al.2019 · 32 citationsMNRAS, Volume 491, p.3672-3701 (2020)
Machine Learning Classifiers for Intermediate Redshift Emission Line Galaxies1908.07046v1 · Kai Zhang, David J. Schlegel, Brett H. Andrews et al.2019 · 23 citationsarXiv
Resolved and Integrated Stellar Masses in the SDSS-IV/MaNGA Survey, Paper I: PCA spectral fitting & stellar mass-to-light ratio estimates1908.02330v1 · Zachary J. Pace, Christy Tremonti, Yanmei Chen et al.2019 · 13 citationsarXiv
Signatures of stellar accretion in MaNGA early-type galaxies1906.05298v2 · Grecco A. Oyarzun, Kevin Bundy, Kyle B. Westfall et al.2019 · 48 citationsarXiv
SDSS-IV MaNGA: Stellar Population Gradients Within Barred Galaxies1906.00643v1 · Amelia Fraser-McKelvie, Michael Merrifield, Alfonso Arag'on-Salamanca et al.2019 · 40 citationsarXiv
Anomalously low metallicity regions in MaNGA star-forming galaxies: Accretion Caught in Action?1812.04614v1 · Hsiang-Chih Hwang, Jorge K. Barrera-Ballesteros, Timothy M. Heckman et al.2018 · 54 citationsarXiv
SDSS-IV MaNGA: local and global chemical abundance patterns in early-type galaxies1812.02753v1 · Taniya Parikh, Daniel Thomas, Claudia Maraston et al.2018 · 49 citationsMNRAS 483, 3420-3436 (2019)
The Fifteenth Data Release of the Sloan Digital Sky Surveys: First Release of MaNGA Derived Quantities, Data Visualization Tools and Stellar Library1812.02759v2 · D. S. Aguado, Romina Ahumada, Andres Almeida et al.2018 · 396 citationsarXiv
APOGEE DR14/DR15 Abundances in the Inner Milky Way1811.01097v1 · G. Zasowski, M. Schultheis, S. Hasselquist et al.2018 · 71 citationsarXiv
SDSS-IV MaNGA: Spatially resolved star-formation histories and the connection to galaxy physical properties1807.06066v1 · K. Rowlands, T. Heckman, V. Wild et al.2018 · 45 citationsarXiv
SDSS-IV MaNGA: The Spatially Resolved Stellar Initial Mass Function in $\sim$400 Early-Type Galaxies1803.08515v1 · Taniya Parikh, Daniel Thomas, Claudia Maraston et al.2018 · 120 citationsMNRAS 477, 3954-3982 (2018)
SDSS-IV MaNGA: The Spectroscopic Discovery of Strongly Lensed Galaxies1803.03604v1 · Michael S. Talbot, Joel R. Brownstein, Adam S. Bolton et al.2018 · 27 citationsarXiv
SDSS-IV MaNGA: Identification of active galactic nuclei in optical integral field unit surveys1710.09389v1 · Dominika Wylezalek, Nadia L. Zakamska, Jenny E. Greene et al.2017 · 65 citationsarXiv
SDSS-IV MaNGA: Evidence of the importance of AGN feedback in low-mass galaxies1710.07568v2 · Samantha J. Penny, Karen L. Masters, Rebecca Smethurst et al.2017 · 120 citationsarXiv
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