FP
F. Paz-Chinchón
astro-ph.COastro-ph.GAastro-ph.IMastro-ph.HEastro-ph.SRastro-ph.EPhep-phcs.LGphysics.data-an
On Valency
published · living versionsW_qnsmgdft·v1 · currentpublished
OzDES Reverberation Mapping Program: Mg II Lags and R-L relation
with Zhefu Yu, Paul Martini, A. Penton, T. M. Davis +53
1 version
W_eytjk7hp·v1published
W_n68u9frd·v1published
W_jeezruwe·v1published
W_p57vdecf·v1published
Preprints & journals
156 papers in the corpus · 2015–2023Ultracool dwarfs candidates based on six years of the Dark Energy Survey data2303.15156v1 · M. dal Ponte, B. Santiago, A. Carnero Rosell et al.2023 · 10 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
Non-local contribution from small scales in galaxy-galaxy lensing: Comparison of mitigation schemes2212.03734v2 · J. Prat, G. Zacharegkas, Y. Park et al.2022 · 5 citationsMNRAS, Volume 522, Issue 1, June 2023, Pages 412-425
Timing the r-Process Enrichment of the Ultra-Faint Dwarf Galaxy Reticulum II2212.00810v1 · Joshua D. Simon, Thomas M. Brown, Burcin Mutlu-Pakdil et al.2022 · 31 citationsarXiv
The Dark Energy Survey Year 3 high redshift sample: Selection, characterization and analysis of galaxy clustering2211.16593v2 · C. S'anchez, A. Alarcon, G. M. Bernstein et al.2022 · 7 citationsarXiv
A Sample of Dust Attenuation Laws for DES Supernova Host Galaxies2211.14291v2 · J. Duarte, S. Gonz'alez-Gait'an, A. Mourao et al.2022 · 19 citationsA&A 680, A56 (2023)
Photometric Properties of Jupiter Trojans detected by the Dark Energy Survey2211.10719v1 · DES Collobration: Jiaming Pan, Hsing Wen Lin, David W. Gerdes et al.2022 · 5 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
Dark Energy Survey Year 3 Results: Measurement of the Baryon Acoustic Oscillations with Three-dimensional Clustering2210.05057v2 · K. C. Chan, S. Avila, A. Carnero Rosell et al.2022 · 17 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
OzDES Reverberation Mapping Program: H lags from the 6-year survey2210.03977v2 · Umang Malik, Rob Sharp, A. Penton et al.2022 · 27 citationsarXiv
Mapping Variations of Redshift Distributions with Probability Integral Transforms2210.03130v2 · J. Myles, D. Gruen, A. Amon et al.2022 · 3 citationsarXiv
Lessons Learned from the Two Largest Galaxy Morphological Classification Catalogues built by Convolutional Neural Networks2209.06897v1 · Ting-Yun Cheng, H. Dom'inguez S'anchez, J. Vega-Ferrero et al.2022 · 11 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
OzDES Reverberation Mapping Program: Mg II Lags and R-L relation2208.05491v2 · Zhefu Yu, Paul Martini, A. Penton et al.2022 · 36 citationsarXivon Valency
Concerning Colour: The Effect of Environment on Type Ia Supernova Colour in the Dark Energy Survey2208.01357v2 · L. Kelsey, M. Sullivan, P. Wiseman et al.2022 · 39 citationsMNRAS, February 2023, Volume 519, Issue 2, Pages 3046-3063
A measurement of the mean central optical depth of galaxy clusters via the pairwise kinematic Sunyaev-Zel'dovich effect with SPT-3G and DES2207.11937v4 · E. Schiappucci, F. Bianchini, M. Aguena et al.2022 · 20 citationsarXiv
Core-collapse Supernovae in the Dark Energy Survey: Luminosity Functions and Host Galaxy Demographics2207.08520v2 · M. Grayling, C. P. Guti'errez, M. Sullivan et al.2022 · 10 citationsMNRAS 520 (2023) 684-701on Valency
A galaxy-driven model of type Ia supernova luminosity variations2207.05583v1 · P. Wiseman, M. Vincenzi, M. Sullivan et al.2022 · 39 citationsarXiv
Dark Energy Survey Year 3 Results: Constraints on extensions to CDM with weak lensing and galaxy clustering2207.05766v4 · T. M. C. Abbott, M. Aguena, A. Alarcon et al.2022 · 131 citationsarXiv
Using Host Galaxy Spectroscopy to Explore Systematics in the Standardisation of Type Ia Supernovae2206.12085v3 · M. Dixon, C. Lidman, J. Mould et al.2022 · 14 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
The Dark Energy Survey Supernova Program results: Type Ia Supernova brightness correlates with host galaxy dust2206.06928v1 · Cole Meldorf, Antonella Palmese, Dillon Brout et al.2022 · 36 citationsarXiv
STRIDES: Automated uniform models for 30 quadruply imaged quasars2206.04696v1 · T. Schmidt, T. Treu, S. Birrer et al.2022 · 66 citationsarXiv
DeepZipper II: Searching for Lensed Supernovae in Dark Energy Survey Data with Deep Learning2204.05924v2 · Robert Morgan, B. Nord, K. Bechtol et al.2022 · 6 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
Dark Energy Survey Year 3 results: cosmological constraints from the analysis of cosmic shear in harmonic space2203.07128v1 · C. Doux, B. Jain, D. Zeurcher et al.2022 · 70 citationsarXiv
Measuring Cosmological Parameters with Type Ia Supernovae in redMaGiC galaxies2202.10480v1 · R. Chen, D. Scolnic, E. Rozo et al.2022 · 30 citationsApJ 938 62 (2022)
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
Consistent lensing and clustering in a low- Universe with BOSS, DES Year 3, HSC Year 1 and KiDS-10002202.07440v2 · A. Amon, N. C. Robertson, H. Miyatake et al.2022 · 91 citationsarXiv
Milky Way Satellite Census. IV. Constraints on Decaying Dark Matter from Observations of Milky Way Satellite Galaxies2201.11740v3 · S. Mau, E. O. Nadler, R. H. Wechsler et al.2022 · 37 citationsApJ 932, 128 (2022)
The Dark Energy Survey 5-year photometrically identified Type Ia Supernovae2201.11142v2 · A. Moller, M. Smith, M. Sako et al.2022 · 37 citationsMonthly Notices of the Royal Astronomical Society, Volume 514, Issue 4, August 2022, Pages 5159 5177
The Evolution of AGN Activity in Brightest Cluster Galaxies2201.08398v2 · T. Somboonpanyakul, M. McDonald, A. Noble et al.2022 · 12 citationsarXiv
Dark Energy Survey Year 3 Results: Three-Point Shear Correlations and Mass Aperture Moments2201.05227v2 · L. F. Secco, M. Jarvis, B. Jain et al.2022 · 33 citationsPhys. Rev. D 105, 103537, 2022
Optical Variability of Quasars with 20-Year Photometric Light Curves2201.02762v3 · Zachary Stone, Yue Shen, Colin J. Burke et al.2022 · 75 citationsMonthly Notices of Royal Astronomical Society, Volume 514, Issue 1, July 2022, Pages 164-184
The DES view of the Eridanus supervoid and the CMB Cold Spot2112.07699v1 · A. Kov'acs, N. Jeffrey, M. Gatti et al.2021 · 37 citationsarXiv
DeepZipper: A Novel Deep Learning Architecture for Lensed Supernovae Identification2112.01541v2 · Robert Morgan, B. Nord, K. Bechtol et al.2021 · 13 citationsarXiv
Lensing Without Borders. I. A Blind Comparison of the Amplitude of Galaxy-Galaxy Lensing Between Independent Imaging Surveys2111.13805v1 · A. Leauthaud, A. Amon, S. Singh et al.2021 · 19 citationsarXiv
The Dark Energy Survey Supernova Program: Cosmological biases from supernova photometric classification2111.10382v1 · M. Vincenzi, M. Sullivan, A. Moller et al.2021 · 27 citationsarXiv
Cosmic Shear in Harmonic Space from the Dark Energy Survey Year 1 Data: Compatibility with Configuration Space Results2111.07203v2 · H. Camacho, F. Andrade-Oliveira, A. Troja et al.2021 · 13 citationsMonthly Notices of the Royal Astronomical Society, Volume 516, Issue 4, November 2022, Page 5799
Dwarf AGNs from Optical Variability for the Origins of Seeds (DAVOS): Insights from the Dark Energy Survey Deep Fields2111.03079v2 · Colin J. Burke, Xin Liu, Yue Shen et al.2021 · 40 citationsarXiv
Dark Energy Survey Year 3 results: Cosmology with peaks using an emulator approach2110.10135v2 · D. Zurcher, J. Fluri, R. Sgier et al.2021 · 73 citationsarXiv
Dark Energy Survey Year 3 results: cosmology with moments of weak lensing mass maps2110.10141v2 · M.Gatti, B. Jain, C. Chang et al.2021 · 65 citationsarXiv
The DES Bright Arcs Survey: Candidate Strongly Lensed Galaxy Systems from the Dark Energy Survey 5,000 Sq. Deg. Footprint2110.02418v2 · J. H. O'Donnell, R. D. Wilkinson, H. T. Diehl et al.2021 · 15 citationsarXiv
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