AM
Alex Malz
astro-ph.IMastro-ph.COastro-ph.GAastro-ph.HEastro-ph.SRstat.APstat.COcs.AIcs.LGstat.ML
On Valency
published · living versionsW_qpybb2aj·v1 · currentpublished
Science-Driven Optimization of the LSST Observing Strategy
with LSST Science Collaboration, Phil Marshall, Timo Anguita, Federica B. Bianco +100
1 version
W_7p9jnmug·v2published
Preprints & journals
50 papers in the corpus · 2014–2026Probabilistic characterization of blending with LSST and application to cluster lensing cosmology2609.12158v1 · Manon Ramel, Cyrille Doux, Marine Kuna et al.2026 · 0 citationsarXiv
Constraining Galaxy Cluster Triaxiality via Weak Lensing --- I. Preparation for the Rubin Data Beyond Leading Order2605.06587v2 · Shenming Fu, Radhakrishnan Srinivasan, Tae-hyeon Shin et al.2026 · 0 citationsarXiv
Propagating data-driven galaxy redshift distribution uncertainties in 3$\times$2-pt analyses2604.24425v2 · Jaime Ruiz-Zapatero, Qianjun Hang, Yun-Hao Zhang et al.2026 · 0 citationsarXiv
Beyond the Final Label: Exploiting the Untapped Potential of Classification Histories in Astronomical Light Curve Analysis2604.23792v2 · Zhuoyang Zhou, Alex I. Malz, Chad M. Schafer et al.2026 · 0 citationsThe Astrophysical Journal, Volume 1006:223, 2026
An Information-Theoretic Metric for Transient Classification and Novelty Detection2604.13207v1 · Yu-Qian (Rachel) Ouyang, Alex I. Malz, Ming Lian et al.2026 · 0 citationsarXiv
LightCurveLynx: Forward Modeling of Time-Domain Surveys with Application to ZTF SN Ia DR22604.07134v1 · Mi Dai, Jeremy Kubica, Konstantin Malanchev et al.2026 · 0 citationsarXiv
Diagnosing the Effects of Spectroscopic Training Set Imperfection on Photometric Redshift Performance2601.10797v1 · Alice Crafford, Alex I. Malz, Tianqing Zhang et al.2026 · 0 citationsarXiv
A Fully Photometric Approach to Type Ia Supernova Cosmology in the LSST Era: Host Galaxy Redshifts and Supernova Classification2512.06319v2 · Ayan Mitra, Richard Kessler, Rebecca C. Chen et al.2025 · 1 citationarXiv
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)
Improved photometric redshift estimations through self-organising map-based data augmentation2508.20903v2 · Yun-Hao Zhang, Joe Zuntz, Irene Moskowitz et al.2025 · 0 citationsarXiv
Variability-finding in Rubin Data Preview 1 with LSDB2506.23955v2 · Konstantin Malanchev, Melissa DeLucchi, Neven Caplar et al.2025 · 0 citationsarXiv
Redshift Assessment Infrastructure Layers (RAIL): Rubin-era photometric redshift stress-testing and at-scale production2505.02928v5 · The RAIL Team, Jan Luca van den Busch, Eric Charles et al.2025 · 4 citationsarXiv
Quantifying the Impact of LSST -band Survey Strategy on Photometric Redshift Estimation and the Detection of Lyman-break Galaxies2503.06016v2 · John Franklin Crenshaw, Boris Leistedt, Melissa Lynn Graham et al.2025 · 6 citationsarXiv
PhotoD with LSST: Stellar Photometric Distances Out to the Edge of the Galaxy2502.03179v1 · Lovro Palaversa, Zeljko Ivezi'c, Neven Caplar et al.2025 · 2 citationsAJ, 169, 119 (2025)
ORACLE: A Real-Time, Hierarchical, Deep-Learning Photometric Classifier for the LSST2501.01496v2 · Ved G. Shah, Alex Gagliano, Konstantin Malanchev et al.2025 · 8 citations2025 ApJ 995 4
DeepDISC-photoz: Deep Learning-Based Photometric Redshift Estimation for Rubin LSST2411.18769v2 · Grant Merz, Xin Liu, Samuel Schmidt et al.2024 · 7 citationsarXiv
Rubin ToO 2024: Envisioning the Vera C. Rubin Observatory LSST Target of Opportunity program2411.04793v1 · Igor Andreoni, Raffaella Margutti, John Banovetz et al.2024 · 6 citationsarXiv
A holistic exploration of the potentially recoverable redshift information of Stage IV galaxy surveys2409.20443v1 · Bryan R Scott, Alex I Malz, Robert Sorba2024 · 2 citationsarXiv
The Blending ToolKit: A simulation framework for evaluation of galaxy detection and deblending2409.06986v3 · Ismael Mendoza, Andrii Torchylo, Thomas Sainrat et al.2024 · 2 citationsarXiv
Impact of survey spatial variability on galaxy redshift distributions and the cosmological -point statistics for the Rubin Legacy Survey of Space and Time (LSST)2409.02501v2 · Qianjun Hang, Benjamin Joachimi, Eric Charles et al.2024 · 0 citationsarXiv
Probabilistic Forward Modeling of Galaxy Catalogs with Normalizing Flows2405.04740v1 · John Franklin Crenshaw, J. Bryce Kalmbach, Alexander Gagliano et al.2024 · 22 citationsAJ 168 80 (2024)
Astrometric Redshifts of Supernovae2405.04522v2 · Jaemyoung Jason Lee, Masao Sako, Richard Kessler et al.2024 · 2 citationsarXiv
Superphot+: Realtime Fitting and Classification of Supernova Light Curves2403.07975v1 · Kaylee M. de Soto, Ashley Villar, Edo Berger (1 et al.2024 · 3 citationsarXiv
Improving Photometric Redshift Estimates with Training Sample Augmentation2402.15551v2 · Irene Moskowitz, Eric Gawiser, John Franklin Crenshaw et al.2024 · 12 citationsApJL 967 L6 (2024)
Are classification metrics good proxies for SN Ia cosmological constraining power?2305.14421v1 · Alex I. Malz, Mi Dai, Kara A. Ponder et al.2023 · 3 citationsA&A 694, A130 (2025)
First Impressions: Early-Time Classification of Supernovae using Host Galaxy Information and Shallow Learning2305.08894v3 · Alexander Gagliano, Gabriella Contardo, Daniel Foreman-Mackey et al.2023 · 27 citationsarXiv
From Data to Software to Science with the Rubin Observatory LSST2208.02781v1 · Katelyn Breivik, Andrew J. Connolly, K. E. Saavik Ford et al.2022 · 3 citationsarXiv
The Simulated Catalogue of Optical Transients and Correlated Hosts (SCOTCH)2206.02815v3 · Martine Lokken, Alexander Gagliano, Gautham Narayan et al.2022 · 12 citationsarXiv
The sensitivity of GPz estimates of photo-z posterior PDFs to realistically complex training set imperfections2202.12775v1 · Natalia Stylianou, Alex I. Malz, Peter Hatfield et al.2022 · 6 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
The LSST-DESC 3x2pt Tomography Optimization Challenge2108.13418v2 · Joe Zuntz, Francois Lanusse, Alex I. Malz et al.2021 · 23 citationsarXiv
CLMM: a LSST-DESC Cluster weak Lensing Mass Modeling library for cosmology2107.10857v2 · M. Aguena, C. Avestruz, C. Combet et al.2021 · 8 citationsarXiv
An information-based metric for observing strategy optimization, demonstrated in the context of photometric redshifts with applications to cosmology2104.08229v1 · Alex I. Malz, Francois Lanusse, John Franklin Crenshaw et al.2021 · 1 citationarXiv
How not to obtain the redshift distribution from probabilistic redshift estimates: Under what conditions is it not inappropriate to estimate the redshift distribution N(z) by stacking photo-z PDFs?2101.04675v1 · Alex I. Malz2021 · 17 citationsPhys. Rev. D 103, 083502 (2021)
Results of the Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC)2012.12392v1 · R. Hlozek, K. A. Ponder, A. I. Malz et al.2020 · 35 citationsarXiv
Active learning with RESSPECT: Resource allocation for extragalactic astronomical transients2010.05941v2 · Noble Kennamer, Emille E. O. Ishida, Santiago Gonzalez-Gaitan et al.2020 · 9 citationsarXiv
How to obtain the redshift distribution from probabilistic redshift estimates2007.12178v1 · Alex I. Malz, David W. Hogg2020 · 24 citationsarXiv
Ridges in the Dark Energy Survey for cosmic trough identification2005.08583v2 · Ben Moews, Morgan A. Schmitz, Andrew J. Lawler et al.2020 · 9 citationsarXiv
Evaluation of probabilistic photometric redshift estimation approaches for The Rubin Observatory Legacy Survey of Space and Time (LSST)2001.03621v2 · S.J. Schmidt, A.I. Malz, J.Y.H. Soo et al.2020 · 78 citationsMNRAS 499 2 1587 (2020)
Conditional Density Estimation Tools in Python and R with Applications to Photometric Redshifts and Likelihood-Free Cosmological Inference1908.11523v2 · Niccolo Dalmasso, Taylor Pospisil, Ann B. Lee et al.2019 · 47 citationsarXiv
Stress testing the dark energy equation of state imprint on supernova data1812.09786v2 · Ben Moews, Rafael S. de Souza, Emille E. O. Ishida et al.2018 · 8 citationsPhys. Rev. D 99, 123529 (2019)
Gaia DR2 unravels incompleteness of nearby cluster population: New open clusters in the direction of Perseus1810.05494v3 · T. Cantat-Gaudin, A. Krone-Martins, N. Sedaghat et al.2018 · 127 citationsA&A 624, A126 (2019)
The Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC): Selection of a performance metric for classification probabilities balancing diverse science goals1809.11145v2 · A.I. Malz, R. Hlozek, T. Allam Jr et al.2018 · 25 citationsAJ 158 5 171 (2019)
The Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC): Data set1810.00001v1 · The PLAsTiCC team, Tarek Allam Jr., Anita Bahmanyar et al.2018 · 41 citationsarXiv
A Unified Analysis of Four Cosmic Shear Surveys1808.07335v2 · Chihway Chang, Michael Wang, Scott Dodelson et al.2018 · 56 citationsarXiv
Science-Driven Optimization of the LSST Observing Strategy1708.04058v1 · LSST Science Collaborations: Phil Marshall, Timo Anguita, Federica B. Bianco et al.2017 · 115 citationsarXivon Valency
Bayesian Redshift Classification of Emission-line Galaxies with Photometric Equivalent Widths1510.07043v2 · Andrew S. Leung, Viviana Acquaviva, Eric Gawiser et al.2015 · 34 citationsarXiv
Physical and Morphological Properties of [O II] Emitting Galaxies in the HETDEX Pilot Survey1411.6015v1 · Joanna S. Bridge, Caryl Gronwall, Robin Ciardullo et al.2014 · 9 citationsarXiv
HST Emission Line Galaxies at z ~ 2: The Ly-alpha Escape Fraction1409.8304v1 · Robin Ciardullo, Gregory Zeimann, Caryl Gronwall et al.2014 · 31 citationsarXiv
Spectral Energy Distribution Fitting of HETDEX Pilot Survey Lyman-alpha Emitters in COSMOS and GOODS-N1403.4935v1 · Alex Hagen, Robin Ciardullo, Caryl Gronwall et al.2014 · 57 citationsarXiv
Career total: at least 88 works. 50 are in this corpus.
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