All publications
[107] J. McCullough, A. Amon, E. Legnani et al. Dark Energy Survey Year 3: Blue Shear. (2024)
[106] M. Toy, P. Wiseman, M. Sullivan et al. Suppression of the type Ia supernova host galaxy step in the outer regions of galaxies. (2024)
[105] M. Dixon, J. Mould, C. Lidman et al. Calibrating the Absolute Magnitude of Type Ia Supernovae in Nearby Galaxies using [OII] and Implications for H_0. (2024)
[104] A. Campos, B. Yin, S. Dodelson et al. Enhancing weak lensing redshift distribution characterization by optimizing the Dark Energy Survey Self-Organizing Map Photo-z method. (2024)
[103] N. Chicoine, J. Prat, G. Zacharegkas et al. Weak Gravitational Lensing around Low Surface Brightness Galaxies in the DES Year 3 Data. (2024)
[102] R. Chen, D. Scolnic, M. Vincenzi et al. Evaluating Cosmological Biases using Photometric Redshifts for Type Ia Supernova Cosmology with the Dark Energy Survey Supernova Program. (2024)
[101] A. Singh, J. J. Mohr, C. T. Davies et al. Galaxy cluster matter profiles: I. Self-similarity and mass calibration. (2024)
[100] L. Faga, F. Andrade-Oliveira, H. Camacho et al. Dark Energy Survey Year 3 Results: Cosmology from galaxy clustering and galaxy-galaxy lensing in harmonic space. (2024)
[99] A. Pérez-Fernández, L. Medina-Varela, R. Ruggeri et al. Fiducial-Cosmology-dependent systematics for the DESI 2024 BAO Analysis. (2024)
[98] R. Camilleri, T. M. Davis, M. Vincenzi et al. The Dark Energy Survey Supernova Program: Investigating Beyond-ΛCDM. Monthly Notices of the Royal Astronomical Society, 533, 2615-2639 (2024)
[97] P. Shah, T. M. Davis, D. Bacon et al. The Dark Energy Survey : Detection of weak lensing magnification of supernovae and constraints on dark matter haloes. (2024)
[96] B. O. Sánchez, D. Brout, M. Vincenzi et al. The Dark Energy Survey Supernova Program: Light curves and 5-Year data release. (2024)
[95] Jiaxi Yu, Ashley J. Ross, Antoine Rocher et al. ELG Spectroscopic Systematics Analysis of the DESI Data Release 1. (2024)
[94] M. Gatti, G. Campailla, N. Jeffrey et al. Dark Energy Survey Year 3 results: simulation-based cosmological inference with wavelet harmonics, scattering transforms, and moments of weak lensing mass maps II. Cosmological results. (2024)
[93] Umang Malik, Rob Sharp, A. Penton et al. OzDES Reverberation Mapping Program: Stacking analysis with Hβ, Mg II and C IV. Monthly Notices of the Royal Astronomical Society, 531, 163–182 (2024)
[92] Umut Demirbozan, Seshadri Nadathur, Ismael Ferrero et al. The Gravitational Lensing Imprints of DES Y3 Superstructures on the CMB: A Matched Filtering Approach. (2024)
[91] Y. Lai, C. Howlett, M. Maus et al. A comparison between Shapefit compression and Full-Modelling method with PyBird for DESI 2024 and beyond. (2024)
[90] U. Andrade, J. Mena-Fernández, H. Awan et al. Validating the Galaxy and Quasar Catalog-Level Blinding Scheme for the DESI 2024 analysis. (2024)
[89] M. Maus, Y. Lai, H. E. Noriega et al. A comparison of effective field theory models of redshift space galaxy power spectra for DESI 2024 and future surveys. (2024)
[88] H. E. Noriega, A. Aviles, H. Gil-Marín et al. Comparing Compressed and Full-modeling Analyses with FOLPS: Implications for DESI 2024 and beyond. (2024)
[87] S. Ramirez-Solano, M. Icaza-Lizaola, H. E. Noriega et al. Full Modeling and Parameter Compression Methods in configuration space for DESI 2024 and beyond. (2024)
[86] L. Bigwood, A. Amon, A. Schneider et al. Weak lensing combined with the kinetic Sunyaev Zel’dovich effect: A study of baryonic feedback. (2024)
[85] C. Garcia-Quintero, J. Mena-Fernández, A. Rocher et al. HOD-Dependent Systematics in Emission Line Galaxies for the DESI 2024 BAO analysis. (2024)
[84] J. Mena-Fernández, C. Garcia-Quintero, S. Yuan et al. HOD-Dependent Systematics for Luminous Red Galaxies in the DESI 2024 BAO Analysis. (2024)
[83] M. Rashkovetskyi, D. Forero-Sánchez, A. de Mattia et al. Semi-analytical covariance matrices for two-point correlation function for DESI 2024 data. (2024)
[82] E. Paillas, Z. Ding, X. Chen et al. Optimal Reconstruction of Baryon Acoustic Oscillations for DESI 2024. (2024)
[81] DESI Collaboration , A. G. Adame, J. Aguilar et al. DESI 2024 VI: Cosmological Constraints from the Measurements of Baryon Acoustic Oscillations. (2024)
[80] DESI Collaboration , A. G. Adame, J. Aguilar et al. DESI 2024 IV: Baryon Acoustic Oscillations from the Lyman Alpha Forest. (2024)
[79] DESI Collaboration , A. G. Adame, J. Aguilar et al. DESI 2024 III: Baryon Acoustic Oscillations from Galaxies and Quasars. (2024)
[78] B. Ansarinejad, S. Raghunathan, T. M. C. Abbott et al. Mass calibration of DES Year-3 clusters via SPT-3G CMB cluster lensing. (2024)
[77] N. Jeffrey, L. Whiteway, M. Gatti et al. Dark Energy Survey Year 3 results: likelihood-free, simulation-based wCDM inference with neural compression of weak-lensing map statistics. (2024)
[76] A. Moller, P. Wiseman, M. Smith et al. The Dark Energy Survey 5-year photometrically classified type Ia supernovae without host-galaxy redshifts. (2024)
[75] Shi-Fan Chen, Cullan Howlett, Martin White et al. Baryon Acoustic Oscillation Theory and Modelling Systematics for the DESI 2024 results. (2024)
[74] J. Mena-Fernández, M. Rodríguez-Monroy, S. Avila et al. Dark Energy Survey: Galaxy Sample for the Baryonic Acoustic Oscillation Measurement from the Final Dataset. (2024)
[73] DES Collaboration , T. M. C. Abbott, M. Adamow et al. Dark Energy Survey: A 2.1. (2024)
[72] S. Grandis, V. Ghirardini, S. Bocquet et al. The SRG/eROSITA All-Sky Survey: Dark Energy Survey Year 3 Weak Gravitational Lensing by eRASS1 selected Galaxy Clusters. (2024)
[71] J. H. Esteves, M. E. S. Pereira, M. Soares-Santos et al. Copacabana: A Probabilistic Membership Assignment Method for Galaxy Clusters. (2024)
[70] M. Vincenzi, D. Brout, P. Armstrong et al. The Dark Energy Survey Supernova Program: Cosmological Analysis and Systematic Uncertainties. (2024)
[69] DES Collaboration , T. M. C. Abbott, M. Acevedo et al. The Dark Energy Survey: Cosmology Results With 1500 New High-redshift Type Ia Supernovae Using The Full 5-year Dataset. (2024)
[68] S. Bocquet, S. Grandis, L. E. Bleem et al. SPT Clusters with DES and HST Weak Lensing. II. Cosmological Constraints from the Abundance of Massive Halos. (2024)
[67] L. Toribio San Cipriano, J. De Vicente, I. Sevilla-Noarbe et al. Dark Energy Survey Deep Field photometric redshift performance and training incompleteness assessment. Astronomy and Astrophysics (forthcoming)
[66] J. Bhattacharyya, A. H. G. Peter, P. Martini et al. Environmental Quenching of Low Surface Brightness Galaxies near Milky Way mass Hosts. arXiv e-prints, arXiv:2312.00773 (2023)
[65] L. E. Bleem, M. Klein, T. M. C. Abbott et al. Galaxy Clusters Discovered via the Thermal Sunyaev-Zel’dovich Effect in the 500-square-degree SPTpol Survey. The Open Journal of Astrophysics, 7, astro.2311.07512 (2024)
[64] Valerio Carruba, Júlio I. B. Camargo, Safwan Aljbaae et al. Main belt asteroids taxonomical information from Dark Energy Survey data. (2023)
[63] M. Gatti, N. Jeffrey, L. Whiteway et al. Dark Energy Survey Year 3 results: simulation-based cosmological inference with wavelet harmonics, scattering transforms, and moments of weak lensing mass maps I: validation on simulations. Physical Review D, 109, 6, 063534 (2024)
[62] P. Kelly, J. Jobel, O. Eiger et al. Dark Energy Survey Year 3 Results: Mis-centering calibration and X-ray-richness scaling relations in redMaPPer clusters. arXiv e-prints, arXiv:2310.13207 (2023)
[61] S. Bocquet, S. Grandis, L. E. Bleem et al. SPT Clusters with DES and HST Weak Lensing. I. Cluster Lensing and Bayesian Population Modeling of Multi-Wavelength Cluster Datasets. arXiv e-prints, arXiv:2310.12213 (2023)
[60] K. B. Webber, T. T. Hansen, J. L. Marshall et al. Chemical Analysis of the Brightest Star of the Cetus II Ultra-Faint Dwarf Galaxy Candidate. The Astrophysical Journal, 959, 141 (2023)
[59] D. Anbajagane, C. Chang, E. J. Baxter et al. Cosmological shocks around galaxy clusters: A coherent investigation with DES, SPT & ACT. Monthly Notices of the Royal Astronomical Society, 527, 9378 (2024)
[58] M. Klein, J. J. Mohr, S. Bocquet et al. SPT-SZ MCMF: An extension of the SPT-SZ catalog over the DES region. arXiv e-prints, arXiv:2309.09908 (2023)
[57] M. Aguena, O. Alves, J. Annis et al. Building an Efficient Cluster Cosmology Software Package for Modeling Cluster Counts and Lensing. arXiv e-prints, arXiv:2309.06593 (2023)
[56] M. McNanna, K. Bechtol, S. Mau et al. A search for faint resolved galaxies beyond the Milky Way in DES Year 6: A new faint, diffuse dwarf satellite of NGC 55. (2024)
[55] S. Shaikh, I. Harrison, A. van Engelen et al. Cosmology from Cross-Correlation of ACT-DR4 CMB Lensing and DES-Y3 Cosmic Shear. Monthly Notices of the Royal Astronomical Society, 528, 2, 2112–2135 (2024)
[54] D. Anbajagane, C. Chang, A. Banerjee et al. Beyond the 3rd moment: A practical study of using lensing convergence CDFs for cosmology with DES Y3. Monthly Notices of the Royal Astronomical Society, 526, 5530 (2023)
[53] M. Gatti, N. Jeffrey, L. Whiteway et al. Detection of the significant impact of source clustering on higher-order statistics with DES Year 3 weak gravitational lensing data. Monthly Notices of the Royal Astronomical Society, 527, L115 (2024)
[52] H. Qu, M. Sako, M. Vincenzi et al. The Dark Energy Survey Supernova Program: Cosmological Biases from Host Galaxy Mismatch of Type Ia Supernovae. arXiv e-prints, arXiv:2307.13696 (2023)
[51] G. A. Marques, M. S. Madhavacheril, O. Darwish et al. Cosmological constraints from the tomography of DES-Y3 galaxies with CMB lensing from ACT DR4. Journal of Cosmology and Astroparticle Physics, 01, 033 (2024)
[50] DESI Collaboration , A. G. Adame, J. Aguilar et al. The Early Data Release of the Dark Energy Spectroscopic Instrument. arXiv e-prints, arXiv:2306.06308 (2023)
[49] DESI Collaboration , A. G. Adame, J. Aguilar et al. Validation of the Scientific Program for the Dark Energy Spectroscopic Instrument. The Astronomical Journal, 167, 2, 62 (2024)
[48] Dark Energy Survey , Kilo-Degree Survey , T. M. C. Abbott et al. DES Y3 + KiDS-1000: Consistent cosmology combining cosmic shear surveys. The Open Journal of Astrophysics, 6, 36 (2023)
[47] M. Mallaby-Kay, S. Amodeo, J. C. Hill et al. The Kinematic Sunyaev-Zel’dovich Effect with ACT, DES, and BOSS: a Novel Hybrid Estimator. Physical Review D, 108, 023516 (2023)
[46] K. Graham, J. O’Donnell, M. M. Silverstein et al. Cool Cores in Clusters of Galaxies in the Dark Energy Survey. Research Notes of the American Astronomical Society, 7, 86 (2023)
[45] E. S. Rykoff, D. L. Tucker, D. L. Burke et al. The Dark Energy Survey Six-Year Calibration Star Catalog. arXiv e-prints, arXiv:2305.01695 (2023)
[44] E. W. Upsdell, P. A. Giles, A. K. Romer et al. The XMM Cluster Survey: Exploring scaling relations and completeness of the Dark Energy Survey Year 3 redMaPPer cluster catalogue. Monthly Notices of the Royal Astronomical Society, 522, 5267 (2023)
[43] Dane Cross, Gray Thoron, Tesla Jeltema et al. Examining the Self-Interaction of Dark Matter through Central Cluster Galaxy Offsets. (2023)
[42] J. Lee, M. Acevedo, M. Sako et al. The Dark Energy Survey Supernova Program: Corrections on photometry due to wavelength-dependent atmospheric effects. The Astronomical Journal, 165, 222 (2023)
[41] M. dal Ponte, B. Santiago, A. Carnero Rosell et al. Ultracool dwarfs candidates based on six years of the Dark Energy Survey data. Monthly Notices of the Royal Astronomical Society, 522, 1951 (2023)
[40] C. Zhou, A. Tong, M. A. Troxel et al. The Intrinsic Alignment of Red Galaxies in DES Y1 redMaPPer Galaxy Clusters. Monthly Notices of the Royal Astronomical Society, 526, 323 (2023)
[39] M. Toy, P. Wiseman, M. Sullivan et al. Rates and properties of type Ia supernovae in galaxy clusters within the Dark Energy Survey. Monthly Notices of the Royal Astronomical Society, 526, 5292 (2023)
[38] C. R. Bom, J. Annis, A. Garcia et al. Designing an Optimal Kilonova Search using DECam for Gravitational Wave Events. The Astrophysical Journal, 960, 2, 122 (2024)
[37] S. Samuroff, R. Mandelbaum, J. Blazek et al. The Dark Energy Survey Year 3 and eBOSS: constraining galaxy intrinsic alignments across luminosity and colour space. Monthly Notices of the Royal Astronomical Society, 524, 2195 (2023)
[36] J. Prat, G. Zacharegkas, Y. Park et al. Non-local contribution from small scales in galaxy-galaxy lensing: Comparison of mitigation schemes. Monthly Notices of the Royal Astronomical Society, 522, 412 (2023)
[35] Joshua D. Simon, Thomas M. Brown, Burçin Mutlu-Pakdil et al. Timing the r-Process Enrichment of the Ultra-Faint Dwarf Galaxy Reticulum II. The Astrophysical Journal, 944, 43 (2023)
[34] C. Sánchez, A. Alarcon, G. M. Bernstein et al. The Dark Energy Survey Year 3 high redshift sample: Selection, characterization and analysis of galaxy clustering. Monthly Notices of the Royal Astronomical Society, 525, 3896 (2023)
[33] J. Duarte, S. González-Gaitán, A. Mourao et al. A Sample of Dust Attenuation Laws for DES Supernova Host Galaxies. Astronomy and Astrophysics, 680, A56 (2023)
[32] DES Collaboration , Jiaming Pan, Hsing Wen Lin et al. Photometric Properties of Jupiter Trojans detected by the Dark Energy Survey. The Planetary Science Journal, 3, 269 (2022)
[31] E. A. Zaborowski, A. Drlica-Wagner, F. Ashmead et al. Identification of Galaxy-Galaxy Strong Lens Candidates in the DECam Local Volume Exploration Survey Using Machine Learning. The Astrophysical Journal, 954, 68 (2023)
[30] J. Sánchez, Y. Omori, C. Chang et al. Mapping gas around massive galaxies: cross-correlation of DES Y3 galaxies and Compton-y-maps from SPT and Planck. Monthly Notices of the Royal Astronomical Society, 522, 3163 (2023)
[29] D. Hernández-Lang, M. Klein, J. J. Mohr et al. The PSZ-MCMF catalogue of Planck clusters over the DES region. Monthly Notices of the Royal Astronomical Society, 525, 24 (2023)
[28] Umang Malik, Rob Sharp, A. Penton et al. OzDES Reverberation Mapping Program: Hβ lags from the 6-year survey. Monthly Notices of the Royal Astronomical Society, 520, 2009 (2023)
[27] J. Myles, D. Gruen, A. Amon et al. Mapping Variations of Redshift Distributions with Probability Integral Transforms. Monthly Notices of the Royal Astronomical Society, 519, 1792 (2023)
[26] J. Elvin-Poole, N. MacCrann, S. Everett et al. Dark Energy Survey Year 3 results: Magnification modeling and impact on cosmological constraints from galaxy clustering and galaxy-galaxy lensing. Monthly Notices of the Royal Astronomical Society, 523, 3649 (2023)
[25] G. Giannini, A. Alarcon, M. Gatti et al. 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. Monthly Notices of the Royal Astronomical Society, 527, 2010 (2024)
[24] Jesse B. Golden-Marx, Y. Zhang, R. L. C. Ogando et al. Characterising the Intracluster Light over the Redshift Range 0.2 < z < 0.8 in the DES-ACT Overlap. Monthly Notices of the Royal Astronomical Society, 521, 478 (2023)
[23] L. Kelsey, M. Sullivan, P. Wiseman et al. Concerning Colour: The Effect of Environment on Type Ia Supernova Colour in the Dark Energy Survey. Monthly Notices of the Royal Astronomical Society, 519, 3046 (2023)
[22] E. Schiappucci, F. Bianchini, M. Aguena et al. A measurement of the mean central optical depth of galaxy clusters via the pairwise kinematic Sunyaev-Zel’dovich effect with SPT-3G and DES. Physical Review D, 107, 042004 (2023)
[21] DES Collaboration , T. M. C. Abbott, M. Aguena et al. Dark Energy Survey Year 3 Results: Constraints on extensions to ΛCDM with weak lensing and galaxy clustering. Physical Review D, 107, 083504 (2023)
[20] T. M. C. Abbott, M. Aguena, A. Alarcon et al. Joint analysis of DES Year 3 data and CMB lensing from SPT and Planck III: Combined cosmological constraints. Physical Review D, 107, 023531 (2023)
[19] A. Chen, G. Aricò, D. Huterer et al. Constraining the Baryonic Feedback with Cosmic Shear Using the DES Year-3 Small-Scale Measurements. Monthly Notices of the Royal Astronomical Society, 518, 5340 (2023)
[18] B. Abareshi, J. Aguilar, S. Ahlen et al. Overview of the Instrumentation for the Dark Energy Spectroscopic Instrument. The Astronomical Journal, 164, 207 (2022)
[17] C. Chang, Y. Omori, E. J. Baxter et al. Joint analysis of DES Year 3 data and CMB lensing from SPT and Planck II: Cross-correlation measurements and cosmological constraints. Physical Review D, 107, 023530 (2023)
[16] Y. Omori, E. J. Baxter, C. Chang et al. Joint analysis of DES Year 3 data and CMB lensing from SPT and Planck I: Construction of CMB Lensing Maps and Modeling Choices. Physical Review D, 107, 023529 (2023)
[15] C. Doux, B. Jain, D. Zeurcher et al. Dark Energy Survey Year 3 results: cosmological constraints from the analysis of cosmic shear in harmonic space. Monthly Notices of the Royal Astronomical Society, 515, 1942 (2022)
[14] Juan P. Cordero, Ian Harrison, Richard P. Rollins et al. Dark Energy Survey Year 3 results: Marginalisation over redshift distribution uncertainties using ranking of discrete realisations. Monthly Notices of the Royal Astronomical Society, 511, 2170 (2022)
[13] A. Carnero Rosell, M. Rodriguez-Monroy, M. Crocce et al. Dark Energy Survey Year 3 Results: Galaxy Sample for BAO Measurement. Monthly Notices of the Royal Astronomical Society, 509, 778 (2022)
[12] DES Collaboration , T. M. C. Abbott, M. Aguena et al. Dark Energy Survey Year 3 Results: Cosmological Constraints from Galaxy Clustering and Weak Lensing. Physical Review D, 105, 023520 (2022)
[11] E. Krause, X. Fang, S. Pandey et al. Dark Energy Survey Year 3 Results: Multi-Probe Modeling Strategy and Validation. arXiv e-prints, arXiv:2105.13548 (2021)
[10] J. DeRose, R. H. Wechsler, M. R. Becker et al. Dark Energy Survey Year 3 results: cosmology from combined galaxy clustering and lensing – validation on cosmological simulations. Physical Review D, 105, 123520 (2022)
[9] A. Porredon, M. Crocce, J. Elvin-Poole et al. Dark Energy Survey Year 3 results: Cosmological constraints from galaxy clustering and galaxy-galaxy lensing using the MagLim lens sample. Physical Review D, 106, 103530 (2022)
[8] S. Pandey, E. Krause, J. DeRose et al. 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. Physical Review D, 106, 043520 (2022)
[7] L. F. Secco, S. Samuroff, E. Krause et al. Dark Energy Survey Year 3 Results: Cosmology from Cosmic Shear and Robustness to Modeling Uncertainty. Physical Review D, 105, 023515 (2022)
[6] A. Amon, D. Gruen, M. A. Troxel et al. Dark Energy Survey Year 3 Results: Cosmology from Cosmic Shear and Robustness to Data Calibration. Physical Review D, 105, 023514 (2022)
[5] C. Sánchez, J. Prat, G. Zacharegkas et al. Dark Energy Survey Year 3 Results: Exploiting small-scale information with lensing shear ratios. Physical Review D, 105, 083529 (2022)
[4] J. Prat, J. Blazek, C. Sánchez et al. Dark Energy Survey Year 3 Results: High-precision measurement and modeling of galaxy-galaxy lensing. Physical Review D, 105, 083528 (2022)
[3] F. Andrade-Oliveira, H. Camacho, L. Faga et al. Galaxy Clustering in Harmonic Space from the Dark Energy Survey Year 1 Data: Compatibility with Real-Space Results. Monthly Notices of the Royal Astronomical Society, 505, 5714 (2021)
[2] O. Friedrich, F. Andrade-Oliveira, H. Camacho et al. Dark Energy Survey Year 3 Results: Covariance Modelling and its Impact on Parameter Estimation and Quality of Fit. Monthly Notices of the Royal Astronomical Society, 508, 3125 (2021)
[1] Angela Chen, Dragan Huterer, Sujeong Lee et al. Constraints on dark matter to dark radiation conversion in the late universe with DES-Y1 and external data. Physical Review D, 103, 123528 (2021)