Publications

For citations statistics, see ADS or Google Scholar.

Papers with important contributions

# 304	A novel approach to classification of ECG arrhythmia types with latent ODEs Yan, A.; Sampson, M.; Melchior, P. arXiv:2511.16933
# 303	Transfer Learning Beyond the Standard Model Krishnaraj, V.; Bayer, A.; Jespersen, C.; Melchior, P. arXiv:2510.19168
# 302	Dynamics of Learning: Generative Schedules from Latent ODEs Sampson, M.; Melchior, P. arXiv:2509.23052
# 301	Reconstructing Quasar Spectra and Measuring the Ly$α$ Forest with SpenderQ Hahn, C.; Gontcho, S.; Melchior, P. and 37 co-authors arXiv:2506.18986
# 300	Path-minimizing latent ODEs for improved extrapolation and inference Sampson, M.; Melchior, P. Machine Learning: Science and Technology, 2025, 6, 025047
# 299	Spatially Resolved Galaxy–Dust Modeling with Coupled Data-driven Priors Siegel, J.; Melchior, P. The Astrophysical Journal, 2025, 986, 212
# 298	A Deep-Learning Based Parameter Inversion Framework for Large-Scale Groundwater Models Triplett, A.; Bennett, A.; Condon, L.; Melchior, P.; Maxwell, R. Geophysical Research Letters, 2025, 52, e2024GL114285
# 297	Inhomogeneous Dust Biases Photometric Redshifts and Stellar Masses for LSST Hahn, C.; Melchior, P. The Astrophysical Journal, 2025, 982, L44
# 296	Disentangling transients and their host galaxies with scarlet2: A framework to forward model multi-epoch imaging Ward, C.; Melchior, P. and 7 co-authors Astronomy and Computing, 2025, 51, 100930
# 295	Joint cosmic density reconstruction from photometric and spectroscopic samples Horowitz, B.; Melchior, P. Monthly Notices of the Royal Astronomical Society, 2025, 538, 2050
# 294	A Deep-Learning Based Parameter Inversion Framework for Large-Scale Groundwater Models Triplett, A.; Bennett, A.; Condon, L.; Melchior, P.; Maxwell, R. ESS Open Archive eprints, 2025, 647, essoar.174312166
# 293	The optical and infrared are connected Jespersen, C.; Melchior, P.; Spergel, D.; Goulding, A.; Hahn, C.; Iyer, K. arXiv:2503.03816
# 292	Simulation-Based Inference For Parameter Estimation Of Complex Watershed Simulators Hull, R.; Leonarduzzi, E.; De La Fuente, L.; Viet Tran, H.; Bennett, A.; Melchior, P. and 2 co-authors Hydrology and Earth System Sciences, 2024, 28, 4685
# 291	Score-matching neural networks for improved multi-band source separation Sampson, M. L.; Melchior, P.; Ward, C.; Birmingham, S. Astronomy and Computing, 2024, 49, 100875
# 290	Spatio-Temporal Machine Learning for Regional to Continental Scale Terrestrial Hydrology Bennett, A.; Tran, H.; De la Fuente, L.; Triplett, A.; Ma, Y.; Melchior, P. and 2 co-authors Journal of Advances in Modeling Earth Systems, 2024, 16, e2023MS004095
# 289	Cosmology with Galaxy Photometry Alone Hahn, C.; Villaescusa-Navarro, F.; Melchior, P.; Teyssier, R. The Astrophysical Journal, 2024, 966, L18
# 288	Constraining Protoplanetary Disk Winds from Forbidden Line Profiles with Simulation-based Inference Nemer, A.; Hahn, C.; Li, J.; Melchior, P.; Goodman, J. The Astrophysical Journal, 2024, 965, 157
# 287	Water Table Depth Estimates over the Contiguous United States Using a Random Forest Model Ma, Y.; Leonarduzzi, E.; Defnet, A.; Melchior, P.; Condon, L.; Maxwell, R. Ground Water, 2024, 62, 34
# 286	PopSED: Population-level Inference for Galaxy Properties from Broadband Photometry with Neural Density Estimation Li, J.; Melchior, P.; Hahn, C.; Huang, S. The Astronomical Journal, 2024, 167, 16
# 285	AESTRA: Deep Learning for Precise Radial Velocity Estimation in the Presence of Stellar Activity Liang, Y.; Winn, J.; Melchior, P. The Astronomical Journal, 2024, 167, 23
# 284	Spatio-temporal machine learning for continental scale terrestrial hydrology Bennett, A.; Tran, H.; Fuente, L.; Triplett, A.; Ma, Y.; Melchior, P. and 2 co-authors ESS Open Archive eprints, 2023, 696, 69665283
# 283	Multiscale Feature Attribution for Outliers Shen, J.; Melchior, P. arXiv:2310.20012
# 282	Outlier Detection in the DESI Bright Galaxy Survey Liang, Y.; Melchior, P.; Hahn, C.; Shen, J.; Goulding, A.; Ward, C. The Astrophysical Journal, 2023, 956, L6
# 281	Beyond Ultra-diffuse Galaxies. I. Mass-Size Outliers among the Satellites of Milky Way Analogs Li, J.; Greene, J.; Greco, J.; Huang, S.; Melchior, P. and 8 co-authors The Astrophysical Journal, 2023, 955, 1
# 280	Autoencoding Galaxy Spectra. I. Architecture Melchior, P.; Liang, Y.; Hahn, C.; Goulding, A. The Astronomical Journal, 2023, 166, 74
# 279	Autoencoding Galaxy Spectra. II. Redshift Invariance and Outlier Detection Liang, Y.; Melchior, P.; Lu, S.; Goulding, A.; Ward, C. The Astronomical Journal, 2023, 166, 75
# 278	Spotting Hallucinations in Inverse Problems with Data-Driven Priors Sampson, M.; Melchior, P. arXiv:2306.13272
# 277	Lightweight starshade position sensing with convolutional neural networks and simulation-based inference Chen, A.; Harness, A.; Melchior, P. Journal of Astronomical Telescopes, Instruments, and Systems, 2023, 9, 025002
# 276	Mangrove: Learning Galaxy Properties from Merger Trees Jespersen, C.; Cranmer, M.; Melchior, P.; Ho, S.; Somerville, R.; Gabrielpillai, A. The Astrophysical Journal, 2022, 941, 7
# 275	Deblending Galaxies with Generative Adversarial Networks Hemmati, S.; Huff, E.; Nayyeri, H.; Ferté, A.; Melchior, P. and 4 co-authors The Astrophysical Journal, 2022, 941, 141
# 274	Plausible Adversarial Attacks on Direct Parameter Inference Models in Astrophysics Horowitz, B.; Melchior, P. arXiv:2211.14788
# 273	Accelerated Bayesian SED Modeling Using Amortized Neural Posterior Estimation Hahn, C.; Melchior, P. The Astrophysical Journal, 2022, 938, 11
# 272	Graph neural network-based resource allocation strategies for multi-object spectroscopy Wang, T.; Melchior, P. Machine Learning: Science and Technology, 2022, 3, 015023
# 271	A Physics-Informed, Machine Learning Emulator of a 2D Surface Water Model: What Temporal Networks and Simulation-Based Inference Can Help Us Learn about Hydrologic Processes Maxwell, R.; Condon, L.; Melchior, P. Water, 2021, 13, 3633
# 270	The challenge of blending in large sky surveys Melchior, P.; Joseph, R.; Sanchez, J.; MacCrann, N.; Gruen, D. Nature Reviews Physics, 2021, 3, 712
# 269	Joint survey processing: combined resampling and convolution for galaxy modelling and deblending Joseph, R.; Melchior, P.; Moolekamp, F. arXiv:2107.06984
# 268	Unsupervised Resource Allocation with Graph Neural Networks Cranmer, M.; Melchior, P.; Nord, B. arXiv:2106.09761
# 267	deep21: a deep learning method for 21 cm foreground removal Makinen, T. Lucas; Lancaster, L.; Villaescusa-Navarro, F.; Melchior, P. and 3 co-authors Journal of Cosmology and Astroparticle Physics, 2021, 2021, 081
# 266	Dark Energy Survey Year 1 Results: Wide-field mass maps via forward fitting in harmonic space Mawdsley, B.; Bacon, D.; Chang, C.; Melchior, P. and 63 co-authors Monthly Notices of the Royal Astronomical Society, 2020, 493, 5662
# 265	Hybrid Physical-Deep Learning Model for Astronomical Inverse Problems Lanusse, F.; Melchior, P.; Moolekamp, F. arXiv:1912.03980
# 264	Astrometry with the Wide-Field Infrared Space Telescope WFIRST Astrometry Working Group; Sanderson, R.; Bellini, A.; Casertano, S.; Lu, J.; Melchior, P. and 12 co-authors Journal of Astronomical Telescopes, Instruments, and Systems, 2019, 5, 044005
# 263	Proximal Adam: Robust Adaptive Update Scheme for Constrained Optimization Melchior, P.; Joseph, R.; Moolekamp, F. arXiv:1910.10094
# 262	Detecting galaxy-filament alignments in the Sloan Digital Sky Survey III Chen, Y.; Ho, S.; Blazek, J.; He, S.; Mandelbaum, R.; Melchior, P. and 1 co-authors Monthly Notices of the Royal Astronomical Society, 2019, 485, 2492
# 261	Filling the gaps: Gaussian mixture models from noisy, truncated or incomplete samples Melchior, P.; Goulding, A. D. Astronomy and Computing, 2018, 25, 183
# 260	SCARLET: Source separation in multi-band images by Constrained Matrix Factorization Melchior, P. and 6 co-authors Astronomy and Computing, 2018, 24, 129
# 259	Dark Energy Survey Year 1 results: curved-sky weak lensing mass map Chang, C.; Pujol, A.; Mawdsley, B.; Bacon, D.; Elvin-Poole, J.; Melchior, P. and 115 co-authors Monthly Notices of the Royal Astronomical Society, 2018, 475, 3165
# 258	In the Crosshair: Astrometric Exoplanet Detection with WFIRST's Diffraction Spikes Melchior, P.; Spergel, D.; Lanz, A. The Astronomical Journal, 2018, 155, 102
# 257	Cosmological constraints from the convergence 1-point probability distribution Patton, K.; Blazek, J.; Honscheid, K.; Huff, E.; Melchior, P. and 2 co-authors Monthly Notices of the Royal Astronomical Society, 2017, 472, 439
# 256	Weak-lensing mass calibration of redMaPPer galaxy clusters in Dark Energy Survey Science Verification data Melchior, P. and 80 co-authors Monthly Notices of the Royal Astronomical Society, 2017, 469, 4899
# 255	Block-Simultaneous Direction Method of Multipliers: A proximal primal-dual splitting algorithm for nonconvex problems with multiple constraints Moolekamp, F.; Melchior, P. arXiv:1708.09066
# 254	Comparing Dark Energy Survey and HST-CLASH observations of the galaxy cluster RXC J2248.7-4431: implications for stellar mass versus dark matter Palmese, A.; Lahav, O.; Banerji, M.; Gruen, D.; Jouvel, S.; Melchior, P. and 63 co-authors Monthly Notices of the Royal Astronomical Society, 2016, 463, 1486
# 253	Crowdsourcing quality control for Dark Energy Survey images Melchior, P. and 49 co-authors Astronomy and Computing, 2016, 16, 99
# 252	No galaxy left behind: accurate measurements with the faintest objects in the Dark Energy Survey Suchyta, E.; Huff, E. M.; Aleksić, J.; Melchior, P. and 72 co-authors Monthly Notices of the Royal Astronomical Society, 2016, 457, 786
# 251	Mass and galaxy distributions of four massive galaxy clusters from Dark Energy Survey Science Verification data Melchior, P. and 91 co-authors Monthly Notices of the Royal Astronomical Society, 2015, 449, 2219
# 250	Hubble Space Telescope Combined Strong and Weak Lensing Analysis of the CLASH Sample: Mass and Magnification Models and Systematic Uncertainties Zitrin, A.; Fabris, A.; Merten, J.; Melchior, P. and 22 co-authors The Astrophysical Journal, 2015, 801, 44
# 249	First measurement of gravitational lensing by cosmic voids in SDSS Melchior, P.; Sutter, P. M.; Sheldon, E.; Krause, E.; Wandelt, B. Monthly Notices of the Royal Astronomical Society, 2014, 440, 2922
# 248	Density mapping with weak lensing and phase information Szepietowski, R.; Bacon, D.; Dietrich, J.; Busha, M.; Wechsler, R.; Melchior, P. Monthly Notices of the Royal Astronomical Society, 2014, 440, 2191
# 247	Calibration biases in measurements of weak lensing Bartelmann, M.; Viola, M.; Melchior, P.; Schäfer, B. M. Astronomy and Astrophysics, 2012, 547, A98
# 246	Means of confusion: how pixel noise affects shear estimates for weak gravitational lensing Melchior, P.; Viola, M. Monthly Notices of the Royal Astronomical Society, 2012, 424, 2757
# 245	Shear-flexion cross-talk in weak-lensing measurements Viola, M.; Melchior, P.; Bartelmann, M. Monthly Notices of the Royal Astronomical Society, 2012, 419, 2215
# 244	Quantifying galaxy shapes: sérsiclets and beyond Andrae, R.; Melchior, P.; Jahnke, K. Monthly Notices of the Royal Astronomical Society, 2011, 417, 2465
# 243	Weak gravitational lensing with DEIMOS Melchior, P.; Viola, M.; Schäfer, B. M.; Bartelmann, M. Monthly Notices of the Royal Astronomical Society, 2011, 412, 1552
# 242	Parametrizing arbitrary galaxy morphologies: potentials and pitfalls Andrae, R.; Jahnke, K.; Melchior, P. Monthly Notices of the Royal Astronomical Society, 2011, 411, 385
# 241	Biases in, and corrections to, KSB shear measurements Viola, M.; Melchior, P.; Bartelmann, M. Monthly Notices of the Royal Astronomical Society, 2011, 410, 2156
# 240	Dos and don'ts of reduced chi-squared Andrae, R.; Schulze-Hartung, T.; Melchior, P. arXiv:1012.3754
# 239	Soft clustering analysis of galaxy morphologies: a worked example with SDSS Andrae, R.; Melchior, P.; Bartelmann, M. Astronomy and Astrophysics, 2010, 522, A21
# 238	Limitations on shapelet-based weak-lensing measurements Melchior, P.; Böhnert, A.; Lombardi, M.; Bartelmann, M. Astronomy and Astrophysics, 2010, 510, A75
# 237	Deconvolution with shapelets Melchior, P.; Andrae, R.; Maturi, M.; Bartelmann, M. Astronomy and Astrophysics, 2009, 493, 727
# 236	Realistic simulations of gravitational lensing by galaxy clusters: extracting arc parameters from mock DUNE images Meneghetti, M.; Melchior, P. and 7 co-authors Astronomy and Astrophysics, 2008, 482, 403
# 235	Reliable shapelet image analysis Melchior, P.; Meneghetti, M.; Bartelmann, M. Astronomy and Astrophysics, 2007, 463, 1215

Papers with minor contributions

# 234	The Future of Artificial Intelligence and the Mathematical and Physical Sciences (AI+MPS) Ferguson, A. and 99 co-authors arXiv:2509.02661
# 233	The Multimodal Universe: 100 TB of Machine Learning Ready Astronomical Data Angeloudi, E. and 28 co-authors Research Notes of the American Astronomical Society, 2024, 8, 301
# 232	The Multimodal Universe: Enabling Large-Scale Machine Learning with 100TB of Astronomical Scientific Data The Multimodal Universe Collaboration and 28 co-authors arXiv:2412.02527
# 231	The little coadd that could: Estimating shear from coadded images Armstrong, R. and 11 co-authors arXiv:2407.01771
# 230	Dark Energy Survey Year 3 results: redshift calibration of the MAGLIM lens sample from the combination of SOMPZ and clustering and its impact on cosmology Giannini, G. and 114 co-authors Monthly Notices of the Royal Astronomical Society, 2024, 527, 2010
# 229	Designing an Optimal Kilonova Search Using DECam for Gravitational-wave Events Bom, C. R. and 69 co-authors The Astrophysical Journal, 2024, 960, 122
# 228	A sample of dust attenuation laws for Dark Energy Survey supernova host galaxies Duarte, J. and 60 co-authors Astronomy and Astrophysics, 2023, 680, A56
# 227	Rates and properties of Type Ia supernovae in galaxy clusters within the dark energy survey Toy, M. and 62 co-authors Monthly Notices of the Royal Astronomical Society, 2023, 526, 5292
# 226	The intrinsic alignment of red galaxies in DES Y1 redMaPPer galaxy clusters Zhou, C. and 81 co-authors Monthly Notices of the Royal Astronomical Society, 2023, 526, 323
# 225	The PSZ-MCMF catalogue of Planck clusters over the DES region Hernández-Lang, D. and 61 co-authors Monthly Notices of the Royal Astronomical Society, 2023, 525, 24
# 224	Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers Huppenkothen, D. and 21 co-authors arXiv:2310.12528
# 223	The Dark Energy Survey Year 3 and eBOSS: constraining galaxy intrinsic alignments across luminosity and colour space Samuroff, S. and 108 co-authors Monthly Notices of the Royal Astronomical Society, 2023, 524, 2195
# 222	Identification of Galaxy-Galaxy Strong Lens Candidates in the DECam Local Volume Exploration Survey Using Machine Learning Zaborowski, E. A. and 92 co-authors The Astrophysical Journal, 2023, 954, 68
# 221	Mapping gas around massive galaxies: cross-correlation of DES Y3 galaxies and Compton-y maps from SPT and Planck Sánchez, J. and 128 co-authors Monthly Notices of the Royal Astronomical Society, 2023, 522, 3163
# 220	A joint Roman Space Telescope and Rubin Observatory synthetic wide-field imaging survey Troxel, M. A. and 27 co-authors Monthly Notices of the Royal Astronomical Society, 2023, 522, 2801
# 219	Characterizing the intracluster light over the redshift range 0.2 < z < 0.8 in the DES-ACT overlap Golden-Marx, J. and 68 co-authors Monthly Notices of the Royal Astronomical Society, 2023, 521, 478
# 218	Cool Cores in Clusters of Galaxies in the Dark Energy Survey Graham, K. and 57 co-authors Research Notes of the American Astronomical Society, 2023, 7, 86
# 217	Robust sampling for weak lensing and clustering analyses with the Dark Energy Survey Lemos, P. and 71 co-authors Monthly Notices of the Royal Astronomical Society, 2023, 521, 1184
# 216	Constraining the baryonic feedback with cosmic shear using the DES Year-3 small-scale measurements Chen, A. and 142 co-authors Monthly Notices of the Royal Astronomical Society, 2023, 518, 5340
# 215	Mapping variations of redshift distributions with probability integral transforms Myles, J. and 69 co-authors Monthly Notices of the Royal Astronomical Society, 2023, 519, 1792
# 214	Joint analysis of Dark Energy Survey Year 3 data and CMB lensing from SPT and Planck. I. Construction of CMB lensing maps and modeling choices Omori, Y. and 164 co-authors Physical Review D, 2023, 107, 023529
# 213	Joint analysis of Dark Energy Survey Year 3 data and CMB lensing from SPT and P l a n c k . II. Cross-correlation measurements and cosmological constraints Chang, C. and 167 co-authors Physical Review D, 2023, 107, 023530
# 212	Joint analysis of Dark Energy Survey Year 3 data and CMB lensing from SPT and Planck. III. Combined cosmological constraints Abbott, T. M. C. and 172 co-authors Physical Review D, 2023, 107, 023531
# 211	Cosmic shear in harmonic space from the Dark Energy Survey Year 1 Data: compatibility with configuration space results Camacho, H. and 99 co-authors Monthly Notices of the Royal Astronomical Society, 2022, 516, 5799
# 210	Dark Energy Survey Year 3 results: Cosmological constraints from galaxy clustering and galaxy-galaxy lensing using the MAGLIM lens sample Porredon, A. and 144 co-authors Physical Review D, 2022, 106, 103530
# 209	Training machine learning with physics-based simulations to predict 2D soil moisture fields in a changing climate Leonarduzzi, E. and 8 co-authors Frontiers in Water, 2022, 4, 927113
# 208	Dark Energy Survey Year 3 results: Cosmology with moments of weak lensing mass maps Gatti, M. and 110 co-authors Physical Review D, 2022, 106, 083509
# 207	Dark Energy Survey Year 3 results: Imprints of cosmic voids and superclusters in the Planck CMB lensing map Kovács, A. and 85 co-authors Monthly Notices of the Royal Astronomical Society, 2022, 515, 4417
# 206	Dark Energy Survey year 3 results: Constraints on cosmological parameters and galaxy-bias models from galaxy clustering and galaxy-galaxy lensing using the redMaGiC sample Pandey, S. and 142 co-authors Physical Review D, 2022, 106, 043520
# 205	The DECam Local Volume Exploration Survey Data Release 2 Drlica-Wagner, A. and 127 co-authors The Astrophysical Journal Supplement Series, 2022, 261, 38
# 204	Velocity dispersions of clusters in the Dark Energy Survey Y3 redMaPPer catalogue Wetzell, V. and 99 co-authors Monthly Notices of the Royal Astronomical Society, 2022, 514, 4696
# 203	Dark Energy Survey Year 3 results: calibration of lens sample redshift distributions using clustering redshifts with BOSS/eBOSS Cawthon, R. and 85 co-authors Monthly Notices of the Royal Astronomical Society, 2022, 513, 5517
# 202	Superclustering with the Atacama Cosmology Telescope and Dark Energy Survey. I. Evidence for Thermal Energy Anisotropy Using Oriented Stacking Lokken, M. and 106 co-authors The Astrophysical Journal, 2022, 933, 134
# 201	Cross-correlation of Dark Energy Survey Year 3 lensing data with ACT and Planck thermal Sunyaev-Zel'dovich effect observations. I. Measurements, systematics tests, and feedback model constraints Gatti, M. and 130 co-authors Physical Review D, 2022, 105, 123525
# 200	Dark Energy Survey Year 3 results: Cosmology from combined galaxy clustering and lensing validation on cosmological simulations DeRose, J. and 120 co-authors Physical Review D, 2022, 105, 123520
# 199	Cross-correlation of Dark Energy Survey Year 3 lensing data with ACT and P l a n c k thermal Sunyaev-Zel'dovich effect observations. II. Modeling and constraints on halo pressure profiles Pandey, S. and 126 co-authors Physical Review D, 2022, 105, 123526
# 198	Dark energy survey year 3 results: Cosmology with peaks using an emulator approach Zürcher, D. and 122 co-authors Monthly Notices of the Royal Astronomical Society, 2022, 511, 2075
# 197	Dark energy survey year 3 results: High-precision measurement and modeling of galaxy-galaxy lensing Prat, J. and 141 co-authors Physical Review D, 2022, 105, 083528
# 196	Snowmass2021 Cosmic Frontier White Paper: Enabling Flagship Dark Energy Experiments to Reach their Full Potential Blazek, J. and 27 co-authors arXiv:2204.01992
# 195	The Evolution of AGN Activity in Brightest Cluster Galaxies Somboonpanyakul, T. and 81 co-authors The Astronomical Journal, 2022, 163, 146
# 194	Dark Energy Survey Year 3 results: galaxy clustering and systematics treatment for lens galaxy samples Rodríguez-Monroy, M. and 105 co-authors Monthly Notices of the Royal Astronomical Society, 2022, 511, 2665
# 193	Dark Energy Survey Year 3 results: Exploiting small-scale information with lensing shear ratios Sánchez, C. and 141 co-authors Physical Review D, 2022, 105, 083529
# 192	The Observed Evolution of the Stellar Mass-Halo Mass Relation for Brightest Central Galaxies Golden-Marx, J. and 75 co-authors The Astrophysical Journal, 2022, 928, 28
# 191	Lensing without borders - I. A blind comparison of the amplitude of galaxy-galaxy lensing between independent imaging surveys Leauthaud, A. and 106 co-authors Monthly Notices of the Royal Astronomical Society, 2022, 510, 6150
# 190	The Dark Energy Survey Bright Arcs Survey: Candidate Strongly Lensed Galaxy Systems from the Dark Energy Survey 5000 Square Degree Footprint O'Donnell, J. H. and 81 co-authors The Astrophysical Journal Supplement Series, 2022, 259, 27
# 189	Synthetic galaxy clusters and observations based on Dark Energy Survey Year 3 Data Varga, T. N. and 79 co-authors Monthly Notices of the Royal Astronomical Society, 2022, 509, 4865
# 188	Dark Energy Survey Year 3 Results: clustering redshifts - calibration of the weak lensing source redshift distributions with redMaGiC and BOSS/eBOSS Gatti, M. and 99 co-authors Monthly Notices of the Royal Astronomical Society, 2022, 510, 1223
# 187	Dark Energy Survey Year 3 results: A 2.7% measurement of baryon acoustic oscillation distance scale at redshift 0.835 Abbott, T. M. C. and 112 co-authors Physical Review D, 2022, 105, 043512
# 186	The DES view of the Eridanus supervoid and the CMB cold spot Kovács, A. and 121 co-authors Monthly Notices of the Royal Astronomical Society, 2022, 510, 216
# 185	Dark Energy Survey Y3 results: blending shear and redshift biases in image simulations MacCrann, N. and 97 co-authors Monthly Notices of the Royal Astronomical Society, 2022, 509, 3371
# 184	Dark Energy Survey Year 3 Results: Measuring the Survey Transfer Function with Balrog Everett, S. and 100 co-authors The Astrophysical Journal Supplement Series, 2022, 258, 15
# 183	Dark Energy Survey Year 3 Results: Deep Field optical + near-infrared images and catalogue Hartley, W. G. and 119 co-authors Monthly Notices of the Royal Astronomical Society, 2022, 509, 3547
# 182	Dark Energy Survey Year 3 results: Cosmology from cosmic shear and robustness to modeling uncertainty Secco, L. F. and 155 co-authors Physical Review D, 2022, 105, 023515
# 181	Dark Energy Survey Year 3 results: Cosmology from cosmic shear and robustness to data calibration Amon, A. and 147 co-authors Physical Review D, 2022, 105, 023514
# 180	Dark Energy Survey Year 3 results: Cosmological constraints from galaxy clustering and weak lensing Abbott, T. M. C. and 170 co-authors Physical Review D, 2022, 105, 023520
# 179	Dark Energy Survey Year 3 results: galaxy-halo connection from galaxy-galaxy lensing Zacharegkas, G. and 117 co-authors Monthly Notices of the Royal Astronomical Society, 2022, 509, 3119
# 178	Probing Galaxy Evolution in Massive Clusters Using ACT and DES: Splashback as a Cosmic Clock Adhikari, S. and 115 co-authors The Astrophysical Journal, 2021, 923, 37
# 177	Development of a Deep Learning Emulator for a Distributed Groundwater–Surface Water Model: ParFlow-ML Tran, H. and 9 co-authors Water, 2021, 13, 3393
# 176	The mass and galaxy distribution around SZ-selected clusters Shin, T. and 138 co-authors Monthly Notices of the Royal Astronomical Society, 2021, 507, 5758
# 175	Dark Energy Survey Year 3 results: Curved-sky weak lensing mass map reconstruction Jeffrey, N. and 131 co-authors Monthly Notices of the Royal Astronomical Society, 2021, 505, 4626
# 174	Galaxy clustering in harmonic space from the dark energy survey year 1 data: compatibility with real-space results Andrade-Oliveira, F. and 74 co-authors Monthly Notices of the Royal Astronomical Society, 2021, 505, 5714
# 173	Assessing tension metrics with dark energy survey and Planck data Lemos, P. and 108 co-authors Monthly Notices of the Royal Astronomical Society, 2021, 505, 6179
# 172	The Dark Energy Survey Data Release 2 Abbott, T. M. C. and 137 co-authors The Astrophysical Journal Supplement Series, 2021, 255, 20
# 171	Dark Energy Survey Year 3 results: redshift calibration of the weak lensing source galaxies Myles, J. and 107 co-authors Monthly Notices of the Royal Astronomical Society, 2021, 505, 4249
# 170	Exploring the contamination of the DES-Y1 cluster sample with SPT-SZ selected clusters Grandis, S. and 75 co-authors Monthly Notices of the Royal Astronomical Society, 2021, 504, 1253
# 169	Dark Energy Survey Year 3 Results: Photometric Data Set for Cosmology Sevilla-Noarbe, I. and 114 co-authors The Astrophysical Journal Supplement Series, 2021, 254, 24
# 168	Dark Energy Survey Year 3 Results: Multi-Probe Modeling Strategy and Validation Krause, E. and 123 co-authors arXiv:2105.13548
# 167	A machine learning approach to galaxy properties: joint redshift-stellar mass probability distributions with Random Forest Mucesh, S. and 75 co-authors Monthly Notices of the Royal Astronomical Society, 2021, 502, 2770
# 166	The WaZP galaxy cluster sample of the dark energy survey year 1 Aguena, M. and 59 co-authors Monthly Notices of the Royal Astronomical Society, 2021, 502, 4435
# 165	The Atacama Cosmology Telescope: A Catalog of >4000 Sunyaev-Zel’dovich Galaxy Clusters Hilton, M. and 148 co-authors The Astrophysical Journal Supplement Series, 2021, 253, 3
# 164	Dark Energy Survey year 3 results: point spread function modelling Jarvis, M. and 81 co-authors Monthly Notices of the Royal Astronomical Society, 2021, 501, 1282
# 163	Dark Energy Survey Year 1 results: the lensing imprint of cosmic voids on the cosmic microwave background Vielzeuf, P. and 66 co-authors Monthly Notices of the Royal Astronomical Society, 2021, 500, 464
# 162	Machine Learning for Searching the Dark Energy Survey for Trans-Neptunian Objects Henghes, B. and 59 co-authors Publications of the Astronomical Society of the Pacific, 2021, 133, 014501
# 161	Dark Energy Survey Year 3 results: cosmology with moments of weak lensing mass maps - validation on simulations Gatti, M. and 72 co-authors Monthly Notices of the Royal Astronomical Society, 2020, 498, 4060
# 160	μ_⋆ masses: weak-lensing calibration of the Dark Energy Survey Year 1 redMaPPer clusters using stellar masses Pereira, M. E. S. and 82 co-authors Monthly Notices of the Royal Astronomical Society, 2020, 498, 5450
# 159	STRIDES: Spectroscopic and photometric characterization of the environment and effects of mass along the line of sight to the gravitational lenses DES J0408-5354 and WGD 2038-4008 Buckley-Geer, E. J. and 68 co-authors Monthly Notices of the Royal Astronomical Society, 2020, 498, 3241
# 158	Validation of selection function, sample contamination and mass calibration in galaxy cluster samples Grandis, S. and 71 co-authors Monthly Notices of the Royal Astronomical Society, 2020, 498, 771
# 157	Noise from undetected sources in Dark Energy Survey images Eckert, K. and 69 co-authors Monthly Notices of the Royal Astronomical Society, 2020, 497, 2529
# 156	Dust Reverberation Mapping in Distant Quasars from Optical and Mid-infrared Imaging Surveys Yang, Q. and 49 co-authors The Astrophysical Journal, 2020, 900, 58
# 155	A Statistical Standard Siren Measurement of the Hubble Constant from the LIGO/Virgo Gravitational Wave Compact Object Merger GW190814 and Dark Energy Survey Galaxies Palmese, A. and 89 co-authors The Astrophysical Journal, 2020, 900, L33
# 154	Joint Survey Processing of Euclid, Rubin and Roman: Final Report Chary, R. and 24 co-authors arXiv:2008.10663
# 153	Weak lensing of Type Ia Supernovae from the Dark Energy Survey Macaulay, E. and 72 co-authors Monthly Notices of the Royal Astronomical Society, 2020, 496, 4051
# 152	The impact of spectroscopic incompleteness in direct calibration of redshift distributions for weak lensing surveys Hartley, W. G. and 77 co-authors Monthly Notices of the Royal Astronomical Society, 2020, 496, 4769
# 151	OzDES multi-object fibre spectroscopy for the Dark Energy Survey: results and second data release Lidman, C. and 104 co-authors Monthly Notices of the Royal Astronomical Society, 2020, 496, 19
# 150	Dark Energy Survey Year 1 Results: Cosmological constraints from cluster abundances and weak lensing Abbott, T. M. C. and 136 co-authors Physical Review D, 2020, 102, 023509
# 149	Supernova host galaxies in the dark energy survey: I. Deep coadds, photometry, and stellar masses Wiseman, P. and 83 co-authors Monthly Notices of the Royal Astronomical Society, 2020, 495, 4040
# 148	STRIDES: a 3.9 per cent measurement of the Hubble constant from the strong lens system DES J0408-5354 Shajib, A. J. and 90 co-authors Monthly Notices of the Royal Astronomical Society, 2020, 494, 6072
# 147	A joint SZ-X-ray-optical analysis of the dynamical state of 288 massive galaxy clusters Zenteno, A. and 79 co-authors Monthly Notices of the Royal Astronomical Society, 2020, 495, 705
# 146	Blinding multiprobe cosmological experiments Muir, J. and 64 co-authors Monthly Notices of the Royal Astronomical Society, 2020, 494, 4454
# 145	First cosmology results using type Ia supernovae from the Dark Energy Survey: the effect of host galaxy properties on supernova luminosity Smith, M. and 91 co-authors Monthly Notices of the Royal Astronomical Society, 2020, 494, 4426
# 144	Observation and confirmation of nine strong-lensing systems in Dark Energy Survey Year 1 data Nord, B. and 66 co-authors Monthly Notices of the Royal Astronomical Society, 2020, 494, 1308
# 143	Monte Carlo control loops for cosmic shear cosmology with DES Year 1 data Kacprzak, T. and 55 co-authors Physical Review D, 2020, 101, 082003
# 142	Milky Way Satellite Census. I. The Observational Selection Function for Milky Way Satellites in DES Y3 and Pan-STARRS DR1 Drlica-Wagner, A. and 58 co-authors The Astrophysical Journal, 2020, 893, 47
# 141	Detection of Cross-Correlation between Gravitational Lensing and γ Rays Ammazzalorso, S. and 77 co-authors Physical Review Letters, 2020, 124, 101102
# 140	The SPTpol Extended Cluster Survey Bleem, L. E. and 137 co-authors The Astrophysical Journal Supplement Series, 2020, 247, 25
# 139	Dark Energy Survey year 1 results: the relationship between mass and light around cosmic voids Fang, Y. and 77 co-authors Monthly Notices of the Royal Astronomical Society, 2019, 490, 3573
# 138	Mass variance from archival X-ray properties of Dark Energy Survey Year-1 galaxy clusters Farahi, A. and 79 co-authors Monthly Notices of the Royal Astronomical Society, 2019, 490, 3341
# 137	Dark Energy Survey Year 1 results: constraints on intrinsic alignments and their colour dependence from galaxy clustering and weak lensing Samuroff, S. and 73 co-authors Monthly Notices of the Royal Astronomical Society, 2019, 489, 5453
# 136	Detection of CMB-Cluster Lensing using Polarization Data from SPTpol Raghunathan, S. and 130 co-authors Physical Review Letters, 2019, 123, 181301
# 135	H0LiCOW - X. Spectroscopic/imaging survey and galaxy-group identification around the strong gravitational lens system WFI 2033-4723 Sluse, D. and 67 co-authors Monthly Notices of the Royal Astronomical Society, 2019, 490, 613
# 134	Phenotypic redshifts with self-organizing maps: A novel method to characterize redshift distributions of source galaxies for weak lensing Buchs, R. and 74 co-authors Monthly Notices of the Royal Astronomical Society, 2019, 489, 820
# 133	Dark Energy Survey Year 1 results: validation of weak lensing cluster member contamination estimates from P(z) decomposition Varga, T. N. and 71 co-authors Monthly Notices of the Royal Astronomical Society, 2019, 489, 2511
# 132	Producing a BOSS CMASS sample with DES imaging Lee, S. and 60 co-authors Monthly Notices of the Royal Astronomical Society, 2019, 489, 2887
# 131	Dark Energy Survey Year 1 results: the effect of intracluster light on photometric redshifts for weak gravitational lensing Gruen, D. and 67 co-authors Monthly Notices of the Royal Astronomical Society, 2019, 488, 4389
# 130	Galaxies in X-ray selected clusters and groups in Dark Energy Survey data - II. Hierarchical Bayesian modelling of the red-sequence galaxy luminosity function Zhang, Y. and 80 co-authors Monthly Notices of the Royal Astronomical Society, 2019, 488, 1
# 129	Constraints on the redshift evolution of astrophysical feedback with Sunyaev-Zel'dovich effect cross-correlations Pandey, S. and 59 co-authors Physical Review D, 2019, 100, 063519
# 128	Dark Energy Survey Year 1 Results: Tomographic cross-correlations between Dark Energy Survey galaxies and CMB lensing from South Pole Telescope +Planck Omori, Y. and 141 co-authors Physical Review D, 2019, 100, 043501
# 127	Dark Energy Survey Year 1 Results: Cross-correlation between Dark Energy Survey Y1 galaxy weak lensing and South Pole Telescope+P l a n c k CMB weak lensing Omori, Y. and 141 co-authors Physical Review D, 2019, 100, 043517
# 126	Dark Energy Surveyed Year 1 results: calibration of cluster mis-centring in the redMaPPer catalogues Zhang, Y. and 86 co-authors Monthly Notices of the Royal Astronomical Society, 2019, 487, 2578
# 125	On the relative bias of void tracers in the Dark Energy Survey Pollina, G. and 64 co-authors Monthly Notices of the Royal Astronomical Society, 2019, 487, 2836
# 124	Cosmological lensing ratios with DES Y1, SPT, and Planck Prat, J. and 135 co-authors Monthly Notices of the Royal Astronomical Society, 2019, 487, 1363
# 123	Identification of RR Lyrae Stars in Multiband, Sparsely Sampled Data from the Dark Energy Survey Using Template Fitting and Random Forest Classification Stringer, K. M. and 78 co-authors The Astronomical Journal, 2019, 158, 16
# 122	The Future Landscape of High-Redshift Galaxy Cluster Science Mantz, A. and 181 co-authors Bulletin of the American Astronomical Society, 2019, 51, 279
# 121	Cosmology in the 2020s Needs Precision and Accuracy: The Case for Euclid/LSST/WFIRST Joint Survey Processing Chary, R. and 9 co-authors Bulletin of the American Astronomical Society, 2019, 51, 44
# 120	Cosmological Synergies Enabled by Joint Analysis of Multi-probe data from WFIRST, Euclid, and LSST Rhodes, J. and 76 co-authors Bulletin of the American Astronomical Society, 2019, 51, 201
# 119	Partnering space and ground observatories - Synergies in cosmology from LSST and WFIRST Eifler, T. and 31 co-authors Bulletin of the American Astronomical Society, 2019, 51, 418
# 118	Science at the edges: internal kinematics of globular clusters' external fields Bellini, A. and 19 co-authors Astro2020: Decadal Survey on Astronomy and Astrophysics, 2019, 2020, 173
# 117	Cosmological Constraints from Multiple Probes in the Dark Energy Survey Abbott, T. M. C. and 163 co-authors Physical Review Letters, 2019, 122, 171301
# 116	Deep Multi-object Spectroscopy to Enhance Dark Energy Science from LSST Newman, J. and 17 co-authors Bulletin of the American Astronomical Society, 2019, 51, 358
# 115	Ultra Deep Field Science with WFIRST Koekemoer, A. and 52 co-authors Bulletin of the American Astronomical Society, 2019, 51, 550
# 114	Weak-lensing analysis of SPT-selected galaxy clusters using Dark Energy Survey Science Verification data Stern, C. and 74 co-authors Monthly Notices of the Royal Astronomical Society, 2019, 485, 69
# 113	More out of less: an excess integrated Sachs-Wolfe signal from supervoids mapped out by the Dark Energy Survey Kovács, A. and 71 co-authors Monthly Notices of the Royal Astronomical Society, 2019, 484, 5267
# 112	Dark Energy Survey Year 1 Results: Detection of Intracluster Light at Redshift ∼ 0.25 Zhang, Y. and 72 co-authors The Astrophysical Journal, 2019, 874, 165
# 111	Candidate massive galaxies at z ∼ 4 in the Dark Energy Survey Guarnieri, P. and 54 co-authors Monthly Notices of the Royal Astronomical Society, 2019, 483, 3060
# 110	Astro2020 Science White Paper: Science at the edges: internal kinematics of globular clusters' external fields Bellini, A. and 19 co-authors arXiv:1903.05085
# 109	Transfer learning for galaxy morphology from one survey to another Domínguez Sánchez, H. and 58 co-authors Monthly Notices of the Royal Astronomical Society, 2019, 484, 93
# 108	Is every strong lens model unhappy in its own way? Uniform modelling of a sample of 13 quadruply+ imaged quasars Shajib, A. J. and 72 co-authors Monthly Notices of the Royal Astronomical Society, 2019, 483, 5649
# 107	Dark Energy Survey Year 1 Results: Measurement of the Baryon Acoustic Oscillation scale in the distribution of galaxies to redshift 1 Abbott, T. M. C. and 110 co-authors Monthly Notices of the Royal Astronomical Society, 2019, 483, 4866
# 106	Mass Calibration of Optically Selected DES Clusters Using a Measurement of CMB-cluster Lensing with SPTpol Data Raghunathan, S. and 130 co-authors The Astrophysical Journal, 2019, 872, 170
# 105	The Wide Field Infrared Survey Telescope: 100 Hubbles for the 2020s Akeson, R. and 105 co-authors arXiv:1902.05569
# 104	Dark Energy Survey Year 1 results: weak lensing mass calibration of redMaPPer galaxy clusters McClintock, T. and 102 co-authors Monthly Notices of the Royal Astronomical Society, 2019, 482, 1352
# 103	Dark Energy Survey Year 1 results: Methodology and projections for joint analysis of galaxy clustering, galaxy lensing, and CMB lensing two-point functions Baxter, E. J. and 95 co-authors Physical Review D, 2019, 99, 023508
# 102	The Dark Energy Survey: Data Release 1 Abbott, T. M. C. and 203 co-authors The Astrophysical Journal Supplement Series, 2018, 239, 18
# 101	A catalogue of structural and morphological measurements for DES Y1 Tarsitano, F. and 63 co-authors Monthly Notices of the Royal Astronomical Society, 2018, 481, 2018
# 100	Dark Energy Survey Year 1 results: weak lensing shape catalogues Zuntz, J. and 107 co-authors Monthly Notices of the Royal Astronomical Society, 2018, 481, 1149
# 99	LSST Observing Strategy White Paper: LSST Observations of WFIRST Deep Fields Foley, R. J. and 40 co-authors arXiv:1812.00514
# 98	DES science portal: Computing photometric redshifts Gschwend, J. and 70 co-authors Astronomy and Computing, 2018, 25, 58
# 97	The Splashback Feature around DES Galaxy Clusters: Galaxy Density and Weak Lensing Profiles Chang, C. and 86 co-authors The Astrophysical Journal, 2018, 864, 83
# 96	Improving weak lensing mass map reconstructions using Gaussian and sparsity priors: application to DES SV Jeffrey, N. and 68 co-authors Monthly Notices of the Royal Astronomical Society, 2018, 479, 2871
# 95	Dark Energy Survey year 1 results: Galaxy-galaxy lensing Prat, J. and 115 co-authors Physical Review D, 2018, 98, 042005
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# 92	Dark Energy Survey Year 1 results: Cosmological constraints from cosmic shear Troxel, M. A. and 135 co-authors Physical Review D, 2018, 98, 043528
# 91	Baryon content in a sample of 91 galaxy clusters selected by the South Pole Telescope at 0.2 <z < 1.25 Chiu, I. and 91 co-authors Monthly Notices of the Royal Astronomical Society, 2018, 478, 3072
# 90	Dark Energy Survey Year 1 Results: redshift distributions of the weak-lensing source galaxies Hoyle, B. and 138 co-authors Monthly Notices of the Royal Astronomical Society, 2018, 478, 592
# 89	Density split statistics: Cosmological constraints from counts and lensing in cells in DES Y1 and SDSS data Gruen, D. and 96 co-authors Physical Review D, 2018, 98, 023507
# 88	Density split statistics: Joint model of counts and lensing in cells Friedrich, O. and 74 co-authors Physical Review D, 2018, 98, 023508
# 87	DES science portal: Creating science-ready catalogs Fausti Neto, A. and 57 co-authors Astronomy and Computing, 2018, 24, 52
# 86	Constraints on the Mass, Concentration, and Nonthermal Pressure Support of Six CLASH Clusters from a Joint Analysis of X-Ray, SZ, and Lensing Data Siegel, S. and 19 co-authors The Astrophysical Journal, 2018, 861, 71
# 85	Cross-correlation redshift calibration without spectroscopic calibration samples in DES Science Verification Data Davis, C. and 77 co-authors Monthly Notices of the Royal Astronomical Society, 2018, 477, 2196
# 84	Dark Energy Survey Year 1 results: cross-correlation redshifts - methods and systematics characterization Gatti, M. and 106 co-authors Monthly Notices of the Royal Astronomical Society, 2018, 477, 1664
# 83	The Projected Dark and Baryonic Ellipsoidal Structure of 20 CLASH Galaxy Clusters Umetsu, K. and 26 co-authors The Astrophysical Journal, 2018, 860, 104
# 82	A measurement of CMB cluster lensing with SPT and DES year 1 data Baxter, E. J. and 121 co-authors Monthly Notices of the Royal Astronomical Society, 2018, 476, 2674
# 81	Weak lensing magnification in the Dark Energy Survey Science Verification data Garcia-Fernandez, M. and 72 co-authors Monthly Notices of the Royal Astronomical Society, 2018, 476, 1071
# 80	Dark Energy Survey Year 1 results: the impact of galaxy neighbours on weak lensing cosmology with IM3SHAPE Samuroff, S. and 71 co-authors Monthly Notices of the Royal Astronomical Society, 2018, 475, 4524
# 79	CLASH-VLT: spectroscopic confirmation of a z = 6.11 quintuply lensed galaxy in the Frontier Fields Cluster RXC J2248.7-4431 (Corrigendum) Balestra, I. and 43 co-authors Astronomy and Astrophysics, 2018, 611, C2
# 78	Dark Energy Survey Year 1 Results: The Photometric Data Set for Cosmology Drlica-Wagner, A. and 89 co-authors The Astrophysical Journal Supplement Series, 2018, 235, 33
# 77	Unveiling the Dynamical State of Massive Clusters through the ICL Fraction Jiménez-Teja, Y. and 36 co-authors The Astrophysical Journal, 2018, 857, 79
# 76	A multicomponent matched filter cluster confirmation tool for eROSITA: initial application to the RASS and DES-SV data sets Klein, M. and 42 co-authors Monthly Notices of the Royal Astronomical Society, 2018, 474, 3324
# 75	Forward Global Photometric Calibration of the Dark Energy Survey Burke, D. L. and 59 co-authors The Astronomical Journal, 2018, 155, 41
# 74	Galaxy bias from galaxy-galaxy lensing in the DES science verification data Prat, J. and 71 co-authors Monthly Notices of the Royal Astronomical Society, 2018, 473, 1667
# 73	Scientific Synergy between LSST and Euclid Rhodes, J. and 36 co-authors The Astrophysical Journal Supplement Series, 2017, 233, 21
# 72	Models of the strongly lensed quasar DES J0408-5354 Agnello, A. and 85 co-authors Monthly Notices of the Royal Astronomical Society, 2017, 472, 4038
# 71	Galaxies in X-ray Selected Clusters and Groups in Dark Energy Survey Data II: Hierarchical Bayesian Modeling of the Red-Sequence Galaxy Luminosity Function Zhang, Y. and 79 co-authors arXiv:1710.05908
# 70	Crowded Field Galaxy Photometry: Precision Colors in the CLASH Clusters Connor, T. and 10 co-authors The Astrophysical Journal, 2017, 848, 37
# 69	CLASH: accurate photometric redshifts with 14 HST bands in massive galaxy cluster cores Molino, A. and 43 co-authors Monthly Notices of the Royal Astronomical Society, 2017, 470, 95
# 68	Optical-SZE scaling relations for DES optically selected clusters within the SPT-SZ Survey Saro, A. and 70 co-authors Monthly Notices of the Royal Astronomical Society, 2017, 468, 3347
# 67	Core or Cusps: The Central Dark Matter Profile of a Strong Lensing Cluster with a Bright Central Image at Redshift 1 Collett, T. and 60 co-authors The Astrophysical Journal, 2017, 843, 148
# 66	Eight new luminous z ≥ 6 quasars discovered via SED model fitting of VISTA, WISE and Dark Energy Survey Year 1 observations Reed, S. L. and 62 co-authors Monthly Notices of the Royal Astronomical Society, 2017, 468, 4702
# 65	Galaxy populations in massive galaxy clusters to z = 1.1: colour distribution, concentration, halo occupation number and red sequence fraction Hennig, C. and 72 co-authors Monthly Notices of the Royal Astronomical Society, 2017, 467, 4015
# 64	Testing the lognormality of the galaxy and weak lensing convergence distributions from Dark Energy Survey maps Clerkin, L. and 61 co-authors Monthly Notices of the Royal Astronomical Society, 2017, 466, 1444
# 63	Environmental dependence of the galaxy stellar mass function in the Dark Energy Survey Science Verification Data Etherington, J. and 63 co-authors Monthly Notices of the Royal Astronomical Society, 2017, 466, 228
# 62	Discovery of the Lensed Quasar System DES J0408-5354 Lin, H. and 81 co-authors The Astrophysical Journal, 2017, 838, L15
# 61	Galaxy-galaxy lensing in the Dark Energy Survey Science Verification data Clampitt, J. and 75 co-authors Monthly Notices of the Royal Astronomical Society, 2017, 465, 4204
# 60	Imprint of DES superstructures on the cosmic microwave background Kovács, A. and 63 co-authors Monthly Notices of the Royal Astronomical Society, 2017, 465, 4166
# 59	Inference from the small scales of cosmic shear with current and future Dark Energy Survey data MacCrann, N. and 64 co-authors Monthly Notices of the Royal Astronomical Society, 2017, 465, 2567
# 58	The evolution of active galactic nuclei in clusters of galaxies from the Dark Energy Survey Bufanda, E. and 56 co-authors Monthly Notices of the Royal Astronomical Society, 2017, 465, 2531
# 57	VDES J2325-5229 a z = 2.7 gravitationally lensed quasar discovered using morphology-independent supervised machine learning Ostrovski, F. and 58 co-authors Monthly Notices of the Royal Astronomical Society, 2017, 465, 4325
# 56	Cosmology from large-scale galaxy clustering and galaxy-galaxy lensing with Dark Energy Survey Science Verification data Kwan, J. and 83 co-authors Monthly Notices of the Royal Astronomical Society, 2017, 464, 4045
# 55	Cosmic voids and void lensing in the Dark Energy Survey Science Verification data Sánchez, C. and 72 co-authors Monthly Notices of the Royal Astronomical Society, 2017, 465, 746
# 54	Cosmology constraints from shear peak statistics in Dark Energy Survey Science Verification data Kacprzak, T. and 87 co-authors Monthly Notices of the Royal Astronomical Society, 2016, 463, 3653
# 53	Joint measurement of lensing-galaxy correlations using SPT and DES SV data Baxter, E. and 76 co-authors Monthly Notices of the Royal Astronomical Society, 2016, 461, 4099
# 52	Mapping and Simulating Systematics due to Spatially Varying Observing Conditions in DES Science Verification Data Leistedt, B. and 94 co-authors The Astrophysical Journal Supplement Series, 2016, 226, 24
# 51	Joint analysis of galaxy-galaxy lensing and galaxy clustering: Methodology and forecasts for Dark Energy Survey Park, Y. and 71 co-authors Physical Review D, 2016, 94, 063533
# 50	redMaGiC: selecting luminous red galaxies from the DES Science Verification data Rozo, E. and 86 co-authors Monthly Notices of the Royal Astronomical Society, 2016, 461, 1431
# 49	Detection of the kinematic Sunyaev-Zel'dovich effect with DES Year 1 and SPT Soergel, B. and 84 co-authors Monthly Notices of the Royal Astronomical Society, 2016, 461, 3172
# 48	The DES Science Verification weak lensing shear catalogues Jarvis, M. and 94 co-authors Monthly Notices of the Royal Astronomical Society, 2016, 460, 2245
# 47	Redshift distributions of galaxies in the Dark Energy Survey Science Verification shear catalogue and implications for weak lensing Bonnett, C. and 107 co-authors Physical Review D, 2016, 94, 042005
# 46	Observation and Confirmation of Six Strong-lensing Systems in the Dark Energy Survey Science Verification Data Nord, B. and 93 co-authors The Astrophysical Journal, 2016, 827, 51
# 45	The Dark Energy Survey: more than dark energy - an overview Dark Energy Survey Collaboration and 140 co-authors Monthly Notices of the Royal Astronomical Society, 2016, 460, 1270
# 44	Cosmology from cosmic shear with Dark Energy Survey Science Verification data Abbott, T. and 128 co-authors Physical Review D, 2016, 94, 022001
# 43	Localization and Broadband Follow-up of the Gravitational-wave Transient GW150914 Abbott, B. P. and 1573 co-authors The Astrophysical Journal, 2016, 826, L13
# 42	Cosmic shear measurements with Dark Energy Survey Science Verification data Becker, M. R. and 105 co-authors Physical Review D, 2016, 94, 022002
# 41	Galaxy bias from the Dark Energy Survey Science Verification data: combining galaxy density maps and weak lensing maps Chang, C. and 82 co-authors Monthly Notices of the Royal Astronomical Society, 2016, 459, 3203
# 40	Supplement: “Localization and Broadband Follow-up of the Gravitational-wave Transient GW150914” (2016, ApJL, 826, L13) Abbott, B. P. and 1576 co-authors The Astrophysical Journal Supplement Series, 2016, 225, 8
# 39	Assessment of Systematic Chromatic Errors that Impact Sub-1% Photometric Precision in Large-area Sky Surveys Li, T. S. and 71 co-authors The Astronomical Journal, 2016, 151, 157
# 38	Cross-correlation of gravitational lensing from DES Science Verification data with SPT and Planck lensing Kirk, D. and 91 co-authors Monthly Notices of the Royal Astronomical Society, 2016, 459, 21
# 37	The RedMaPPer Galaxy Cluster Catalog From DES Science Verification Data Rykoff, E. S. and 89 co-authors The Astrophysical Journal Supplement Series, 2016, 224, 1
# 36	CMB lensing tomography with the DES Science Verification galaxies Giannantonio, T. and 103 co-authors Monthly Notices of the Royal Astronomical Society, 2016, 456, 3213
# 35	CLASH-VLT: A highly precise strong lensing model of the galaxy cluster RXC J2248.7-4431 (Abell S1063) and prospects for cosmography Caminha, G. B. and 34 co-authors Astronomy and Astrophysics, 2016, 587, A80
# 34	Galaxy clustering, photometric redshifts and diagnosis of systematics in the DES Science Verification data Crocce, M. and 87 co-authors Monthly Notices of the Royal Astronomical Society, 2016, 455, 4301
# 33	Weak lensing by galaxy troughs in DES Science Verification data Gruen, D. and 91 co-authors Monthly Notices of the Royal Astronomical Society, 2016, 455, 3367
# 32	Discovery of two gravitationally lensed quasars in the Dark Energy Survey Agnello, A. and 79 co-authors Monthly Notices of the Royal Astronomical Society, 2015, 454, 1260
# 31	Constraints on the richness-mass relation and the optical-SZE positional offset distribution for SZE-selected clusters Saro, A. and 101 co-authors Monthly Notices of the Royal Astronomical Society, 2015, 454, 2305
# 30	Wide-Field Lensing Mass Maps from Dark Energy Survey Science Verification Data Chang, C. and 83 co-authors Physical Review Letters, 2015, 115, 051301
# 29	Wide-field lensing mass maps from Dark Energy Survey science verification data: Methodology and detailed analysis Vikram, V. and 93 co-authors Physical Review D, 2015, 92, 022006
# 28	CLASH: The Concentration-Mass Relation of Galaxy Clusters Merten, J. and 40 co-authors The Astrophysical Journal, 2015, 806, 4
# 27	GALSIM: The modular galaxy image simulation toolkit Rowe, B. T. P. and 14 co-authors Astronomy and Computing, 2015, 10, 121
# 26	The MUSIC of CLASH: Predictions on the Concentration-Mass Relation Meneghetti, M. and 44 co-authors The Astrophysical Journal, 2014, 797, 34
# 25	A Census of Star-forming Galaxies in the Z ~ 9-10 Universe based on HST+Spitzer Observations over 19 Clash Clusters: Three Candidate Z ~ 9-10 Galaxies and Improved Constraints on the Star Formation Rate Density at Z ~ 9.2 Bouwens, R. J. and 36 co-authors The Astrophysical Journal, 2014, 795, 126
# 24	CLASH: Weak-lensing Shear-and-magnification Analysis of 20 Galaxy Clusters Umetsu, K. and 23 co-authors The Astrophysical Journal, 2014, 795, 163
# 23	CLASH-X: A Comparison of Lensing and X-Ray Techniques for Measuring the Mass Profiles of Galaxy Clusters Donahue, M. and 37 co-authors The Astrophysical Journal, 2014, 794, 136
# 22	CLASH: A Census of Magnified Star-forming Galaxies at z ~ 6-8 Bradley, L. D. and 36 co-authors The Astrophysical Journal, 2014, 792, 76
# 21	The Third Gravitational Lensing Accuracy Testing (GREAT3) Challenge Handbook Mandelbaum, R. and 30 co-authors The Astrophysical Journal Supplement Series, 2014, 212, 5
# 20	Three Gravitationally Lensed Supernovae behind CLASH Galaxy Clusters Patel, B. and 44 co-authors The Astrophysical Journal, 2014, 786, 9
# 19	CLASH: Extending Galaxy Strong Lensing to Small Physical Scales with Distant Sources Highly Magnified by Galaxy Cluster Members Grillo, C. and 37 co-authors The Astrophysical Journal, 2014, 786, 11
# 18	Intracluster light properties in the CLASH-VLT cluster MACS J1206.2-0847 Presotto, V. and 48 co-authors Astronomy and Astrophysics, 2014, 565, A126
# 17	Evidence for Ubiquitous High-equivalent-width Nebular Emission in z ~ 7 Galaxies: Toward a Clean Measurement of the Specific Star-formation Rate Using a Sample of Bright, Magnified Galaxies Smit, R. and 32 co-authors The Astrophysical Journal, 2014, 784, 58
# 16	J-PAS: The Javalambre-Physics of the Accelerated Universe Astrophysical Survey Benitez, N. and 151 co-authors arXiv:1403.5237
# 15	CLASH-VLT: Constraints on the Dark Matter Equation of State from Accurate Measurements of Galaxy Cluster Mass Profiles Sartoris, B. and 41 co-authors The Astrophysical Journal, 2014, 783, L11
# 14	CLASH: z ∼ 6 young galaxy candidate quintuply lensed by the frontier field cluster RXC J2248.7-4431 Monna, A. and 39 co-authors Monthly Notices of the Royal Astronomical Society, 2014, 438, 1417
# 13	CLASH: Photometric redshifts with 16 HST bands in galaxy cluster fields Jouvel, S. and 37 co-authors Astronomy and Astrophysics, 2014, 562, A86
# 12	CLASH: Complete Lensing Analysis of the Largest Cosmic Lens MACS J0717.5+3745 and Surrounding Structures Medezinski, E. and 37 co-authors The Astrophysical Journal, 2013, 777, 43
# 11	CLASH-VLT: spectroscopic confirmation of a z = 6.11 quintuply lensed galaxy in the Frontier Fields cluster RXC J2248.7-4431 Balestra, I. and 43 co-authors Astronomy and Astrophysics, 2013, 559, L9
# 10	The Contribution of Halos with Different Mass Ratios to the Overall Growth of Cluster-sized Halos Lemze, D. and 41 co-authors The Astrophysical Journal, 2013, 776, 91
# 9	CLASH-VLT: The mass, velocity-anisotropy, and pseudo-phase-space density profiles of the z = 0.44 galaxy cluster MACS J1206.2-0847 Biviano, A. and 46 co-authors Astronomy and Astrophysics, 2013, 558, A1
# 8	Galaxy Halo Truncation and Giant Arc Surface Brightness Reconstruction in the Cluster MACSJ1206.2-0847 Eichner, T. and 34 co-authors The Astrophysical Journal, 2013, 774, 124
# 7	CLASH: Precise New Constraints on the Mass Profile of the Galaxy Cluster A2261 Coe, D. and 45 co-authors The Astrophysical Journal, 2012, 757, 22
# 6	A magnified young galaxy from about 500 million years after the Big Bang Zheng, W. and 35 co-authors Nature, 2012, 489, 406
# 5	CLASH: Mass Distribution in and around MACS J1206.2-0847 from a Full Cluster Lensing Analysis Umetsu, K. and 47 co-authors The Astrophysical Journal, 2012, 755, 56
# 4	Image analysis for cosmology: results from the GREAT10 Galaxy Challenge Kitching, T. D. and 27 co-authors Monthly Notices of the Royal Astronomical Society, 2012, 423, 3163
# 3	The Cluster Lensing and Supernova Survey with Hubble: An Overview Postman, M. and 44 co-authors The Astrophysical Journal Supplement Series, 2012, 199, 25
# 2	CLASH: New Multiple Images Constraining the Inner Mass Profile of MACS J1206.2-0847 Zitrin, A. and 47 co-authors The Astrophysical Journal, 2012, 749, 97
# 1	The Cluster Lensing and Supernova Survey with Hubble (CLASH): Strong-lensing Analysis of A383 from 16-band HST/WFC3/ACS Imaging Zitrin, A. and 40 co-authors The Astrophysical Journal, 2011, 742, 117

Theses

Shapelets for gravitational lensing and galaxy morphology studies
PhD thesis in physics, Ruprecht-Karls-Universität Heidelberg
defense: June 8, 2010
Shapelets Reloaded & Flexion Revolutions
diploma thesis in physics, Ruprecht-Karls-Universität Heidelberg
handed in: June 1, 2006