PM
Peter Melchior
astro-ph.COastro-ph.GAastro-ph.IMcs.LGastro-ph.HEastro-ph.SRastro-ph.EPcs.AIgr-qcstat.ML
On Valency
published · living versionsW_9pvfmczt·v1 · currentpublished
Scientific Synergy Between LSST and Euclid
with Jason Rhodes, Robert C. Nichol, Éric Aubourg, Rachel Bean +32
1 version
W_6gyhc5ze·v1published
W_pqbd2xc3·v1published
W_88gt4mxd·v1published
W_p57vdecf·v1published
W_ggnhn9y4·v1published
W_w4gfrpzf·v1published
Preprints & journals
272 papers in the corpus · 2006–2026The Roman eXtreme Deep Field (RXDF)2609.08145v1 · Haojing Yan, Anton M. Koekemoer, Yue Shen et al.2026 · 0 citationsarXiv
The Cross-Survey Decade: A Call to Action2608.19272v1 · Gioia Rau, Robert Benjamin, Federica Bianco et al.2026 · 0 citationsarXiv
DiscoverPhysics: Benchmarking LLMs for Out-of-the-Box Scientific Thinking2605.26087v2 · Matt L. Wiemann, Lindsay M. Smith, Peter Melchior et al.2026 · 0 citationsarXiv
Opportunities in AI/ML for the Rubin LSST Dark Energy Science Collaboration2601.14235v1 · Eric Aubourg, Camille Avestruz, Matthew R. Becker et al.2026 · 0 citationsarXiv
A novel approach to classification of ECG arrhythmia types with latent ODEs2511.16933v1 · Angelina Yan, Matt L. Sampson, Peter Melchior2025 · 0 citationsarXiv
Transfer Learning Beyond the Standard Model2510.19168v1 · Veena Krishnaraj, Adrian E. Bayer, Christian Kragh Jespersen et al.2025 · 0 citationsJCAP06(2026)026
Reconstructing Quasar Spectra and Measuring the Ly Forest with 2506.18986v2 · ChangHoon Hahn, Satya Gontcho A Gontcho, Peter Melchior et al.2025 · 0 citationsarXiv
The Optical and Infrared Are Connected2503.03816v2 · Christian K. Jespersen, Peter Melchior, David N. Spergel et al.2025 · 4 citationsarXiv
The Multimodal Universe: Enabling Large-Scale Machine Learning with 100TB of Astronomical Scientific Data2412.02527v1 · The Multimodal Universe Collaboration. Eirini Angeloudi, Jeroen Audenaert, Micah Bowles et al.2024 · 5 citationsarXiv
Spatially Resolved Galaxy-Dust Modeling with Coupled Data-Driven Priors2411.08111v1 · Jared Siegel, Peter Melchior2024 · 1 citationarXiv
Path-minimizing Latent ODEs for improved extrapolation and inference2410.08923v1 · Matt L. Sampson, Peter Melchior2024 · 1 citationarXiv
Inhomogeneous Dust Biases Photometric Redshifts and Stellar Masses for LSST2409.19054v1 · ChangHoon Hahn, Peter Melchior2024 · 3 citationsarXiv
Disentangling transients and their host galaxies with Scarlet2: A framework to forward model multi-epoch imaging2409.15427v2 · Charlotte Ward, Peter Melchior, Matt L. Sampson et al.2024 · 7 citationsarXiv
The little coadd that could: Estimating shear from coadded images2407.01771v1 · Robert Armstrong, Erin Sheldon, Eric Huff et al.2024 · 2 citationsarXiv
Constraining Protoplanetary Disk Winds from Forbidden Line Profiles with Simulation-based Inference2403.10243v1 · Ahmad Nemer, ChangHoon Hahn, Jiaxuan Li et al.2024 · 1 citationarXiv
Score-matching neural networks for improved multi-band source separation2401.07313v2 · Matt L. Sampson, Peter Melchior, Charlotte Ward et al.2024 · 6 citationsarXiv
AESTRA: Deep Learning for Precise Radial Velocity Estimation in the Presence of Stellar Activity2311.18326v1 · Yan Liang, Joshua N. Winn, Peter Melchior2023 · 11 citationsarXiv
Joint Cosmic Density Reconstruction from Photometric and Spectroscopic Samples2311.18738v1 · Benjamin Horowitz, Peter Melchior2023 · 1 citationarXiv
Water Table Depth Estimates over the Contiguous United States Using a Random Forest Model.37797066 · Ma, Yueling, Leonarduzzi, Elena, Defnet, Amy et al.2024 · 21 citationsGround water. 2024;62(1):34-43
Multiscale Feature Attribution for Outliers2310.20012v1 · Jeff Shen, Peter Melchior2023 · 0 citationsarXiv
Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers2310.12528v1 · D. Huppenkothen, M. Ntampaka, M. Ho et al.2023 · 2 citationsarXiv
Cosmology with Galaxy Photometry Alone2310.08634v1 · ChangHoon Hahn, Francisco Villaescusa-Navarro, Peter Melchior et al.2023 · 6 citationsarXiv
PopSED: Population-Level Inference for Galaxy Properties from Broadband Photometry with Neural Density Estimation2309.16958v2 · Jiaxuan Li, Peter Melchior, ChangHoon Hahn et al.2023 · 15 citationsarXiv
Outlier Detection in the DESI Bright Galaxy Survey2307.07664v1 · Yan Liang, Peter Melchior, ChangHoon Hahn et al.2023 · 12 citationsarXiv
Spotting Hallucinations in Inverse Problems with Data-Driven Priors2306.13272v1 · Matt L. Sampson, Peter Melchior2023 · 2 citationsarXiv
Cool Cores in Clusters of Galaxies in the Dark Energy Survey2305.02365v1 · K. Graham, J. O'Donnell, M. M. Silverstein et al.2023 · 2 citationsarXiv
The Intrinsic Alignment of Red Galaxies in DES Y1 redMaPPer Galaxy Clusters2302.12325v2 · C. Zhou, A. Tong, M. A. Troxel et al.2023 · 10 citationsarXiv
Rates and properties of type Ia supernovae in galaxy clusters within the Dark Energy Survey2302.05184v2 · M. Toy, P. Wiseman, M. Sullivan et al.2023 · 13 citationsarXiv
Designing an Optimal Kilonova Search using DECam for Gravitational Wave Events2302.04878v2 · C. R. Bom, J. Annis, A. Garcia et al.2023 · 10 citationsarXiv
Autoencoding Galaxy Spectra II: Redshift Invariance and Outlier Detection2302.02496v1 · Yan Liang, Peter Melchior, Sicong Lu et al.2023 · 22 citationsarXiv
Plausible Adversarial Attacks on Direct Parameter Inference Models in Astrophysics2211.14788v1 · Benjamin Horowitz, Peter Melchior2022 · 0 citationsarXiv
Autoencoding Galaxy Spectra I: Architecture2211.07890v1 · Peter Melchior, Yan Liang, ChangHoon Hahn et al.2022 · 27 citationsarXiv
Deblending Galaxies with Generative Adversarial Networks2211.04488v1 · Shoubaneh Hemmati, Eric Huff, Hooshang Nayyeri et al.2022 · 14 citationsarXiv
Beyond Ultra-diffuse Galaxies. I. Mass--Size Outliers among the Satellites of Milky Way Analogs2210.14994v2 · Jiaxuan Li, Jenny E. Greene, Johnny P. Greco et al.2022 · 23 citationsarXiv
: Learning Galaxy Properties from Merger Trees2210.13473v1 · Christian Kragh Jespersen, Miles Cranmer, Peter Melchior et al.2022 · 43 citationsarXiv
Identification of Galaxy-Galaxy Strong Lens Candidates in the DECam Local Volume Exploration Survey Using Machine Learning2210.10802v3 · E. A. Zaborowski, A. Drlica-Wagner, F. Ashmead et al.2022 · 19 citationsApJ 954 68 (2023)
Mapping gas around massive galaxies: cross-correlation of DES Y3 galaxies and Compton--maps from SPT and Planck2210.08633v2 · J. S'anchez, Y. Omori, C. Chang et al.2022 · 18 citationsarXiv
The PSZ-MCMF catalogue of Planck clusters over the DES region2210.04666v3 · D. Hern'andez-Lang, M. Klein, J. J. Mohr et al.2022 · 12 citationsarXiv
Mapping Variations of Redshift Distributions with Probability Integral Transforms2210.03130v2 · J. Myles, D. Gruen, A. Amon et al.2022 · 3 citationsarXiv
Dark Energy Survey Year 3 Results: Redshift Calibration of the MagLim Lens Sample from the combination of SOMPZ and clustering and its impact on Cosmology2209.05853v2 · G. Giannini, A. Alarcon, M. Gatti et al.2022 · 14 citationsMNRAS, stad2945 (2023)
Characterising the Intracluster Light over the Redshift Range in the DES-ACT Overlap2209.05519v2 · Jesse B. Golden-Marx, Y. Zhang, R. L. C. Ogando et al.2022 · 26 citationsarXiv
Joint analysis of DES Year 3 data and CMB lensing from SPT and Planck III: Combined cosmological constraints2206.10824v1 · T. M. C. Abbott, M. Aguena, A. Alarcon et al.2022 · 56 citationsarXiv
Constraining the Baryonic Feedback with Cosmic Shear Using the DES Year-3 Small-Scale Measurements2206.08591v1 · A. Chen, G. Arico, D. Huterer et al.2022 · 47 citationsarXiv
Lightweight starshade position sensing with convolutional neural networks and simulation-based inference2204.03853v1 · Andrew Chen, Anthony Harness, Peter Melchior2022 · 3 citationsarXiv
The DECam Local Volume Exploration Survey Data Release 22203.16565v1 · A. Drlica-Wagner, P. S. Ferguson, M. Adam'ow et al.2022 · 79 citationsarXiv
Joint analysis of DES Year 3 data and CMB lensing from SPT and Planck I: Construction of CMB Lensing Maps and Modeling Choices2203.12439v1 · Y. Omori, E. J. Baxter, C. Chang et al.2022 · 25 citationsarXiv
Joint analysis of DES Year 3 data and CMB lensing from SPT and Planck II: Cross-correlation measurements and cosmological constraints2203.12440v2 · C. Chang, Y. Omori, E. J. Baxter et al.2022 · 37 citationsarXiv
Dark Energy Survey Year 3 results: imprints of cosmic voids and superclusters in the Planck CMB lensing map2203.11306v2 · A. Kov'acs, P. Vielzeuf, I. Ferrero et al.2022 · 20 citationsarXiv
Accelerated Bayesian SED Modeling using Amortized Neural Posterior Estimation2203.07391v1 · ChangHoon Hahn, Peter Melchior2022 · 43 citationsarXivon Valency
Robust sampling for weak lensing and clustering analyses with the Dark Energy Survey2202.08233v1 · P. Lemos, N. Weaverdyck, R. P. Rollins et al.2022 · 44 citationsarXiv
Career total: 376 works. 272 are in this corpus.Showing the 50 most recent.
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