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authFullName_s : S. Serrano

Dark Energy Survey Year 1 Results: The Relationship between Mass and Light Around Cosmic Voids

Y. Fang , N. Hamaus , B. Jain , S. Pandey , G. Pollina et al.
Mon.Not.Roy.Astron.Soc., 2019, 490 (3), pp.3573-3587. ⟨10.1093/mnras/stz2805⟩
Journal articles hal-02338309v1

Identification of RR Lyrae stars in multiband, sparsely-sampled data from the Dark Energy Survey using template fitting and Random Forest classification

Katelyn M. Stringer , J.P. Long , L.M. Macri , J.L. Marshall , A. Drlica-Wagner et al.
Astron.J., 2019, 158 (1), pp.16. ⟨10.3847/1538-3881/ab1f46⟩
Journal articles hal-02136317v1

The Dark Energy Survey Data Release 1

T.M.C. Abbott , F.B. Abdalla , S. Allam , A. Amara , J. Annis et al.
Astrophys.J.Suppl., 2018, 239 (2), pp.18. ⟨10.3847/1538-4365/aae9f0⟩
Journal articles hal-01703644v1

Identifying RR Lyrae Variable Stars in Six Years of the Dark Energy Survey

K.M. Stringer , A. Drlica-Wagner , L. Macri , C.E. Martínez-Vázquez , A.K. Vivas et al.
Astrophys.J., 2021, 911 (2), pp.109. ⟨10.3847/1538-4357/abe873⟩
Journal articles hal-03070614v1
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Euclid: Identification of asteroid streaks in simulated images using StreakDet software

M. Pöntinen , M. Granvik , A.A. Nucita , L. Conversi , B. Altieri et al.
Astronomy and Astrophysics - A&A, 2020, 644, pp.A35. ⟨10.1051/0004-6361/202037765⟩
Journal articles hal-03098892v1
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Dark Energy Survey Year 3 results: marginalization over redshift distribution uncertainties using ranking of discrete realizations

Juan P. Cordero , Ian Harrison , Richard P. Rollins , G. M. Bernstein , S. L. Bridle et al.
Monthly Notices of the Royal Astronomical Society, 2022, 511, pp.2170-2185. ⟨10.1093/mnras/stac147⟩
Journal articles insu-03748279v1
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Euclid: Impact of non-linear and baryonic feedback prescriptions on cosmological parameter estimation from weak lensing cosmic shear

M. Martinelli , I. Tutusaus , M. Archidiacono , S. Camera , V.F. Cardone et al.
Astron.Astrophys., 2021, 649, pp.A100. ⟨10.1051/0004-6361/202039835⟩
Journal articles hal-02999590v1

Euclid Preparation. XIV. The Complete Calibration of the Color–Redshift Relation (C3R2) Survey: Data Release 3

S. Stanford , D. Masters , B. Darvish , D. Stern , J. Cohen et al.
The Astrophysical Journal Supplement, 2021, 256 (1), pp.9. ⟨10.3847/1538-4365/ac0833⟩
Journal articles hal-03413175v1
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Dark energy survey year 3 results: weak lensing shape catalogue

M. Gatti , E. Sheldon , A. Amon , M. Becker , M. Troxel et al.
Mon.Not.Roy.Astron.Soc., 2021, 504 (3), pp.4312-4336. ⟨10.1093/mnras/stab918⟩
Journal articles hal-03022762v1
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Milky Way Satellite Census. IV. Constraints on Decaying Dark Matter from Observations of Milky Way Satellite Galaxies

S. Mau , E. O. Nadler , R. H. Wechsler , A. Drlica-Wagner , K. Bechtol et al.
The Astrophysical Journal, 2022, 932, ⟨10.3847/1538-4357/ac6e65⟩
Journal articles insu-03748259v1

Dark Energy Survey Year 3 results: Cosmology with moments of weak lensing mass maps

M. Gatti , B. Jain , C. Chang , M. Raveri , D. Zürcher et al.
Physical Review D, 2022, 106, ⟨10.1103/PhysRevD.106.083509⟩
Journal articles insu-03839628v1
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Superclustering with the Atacama Cosmology Telescope and Dark Energy Survey. I. Evidence for Thermal Energy Anisotropy Using Oriented Stacking

M. Lokken , R. Hložek , A. Van Engelen , M. Madhavacheril , E. Baxter et al.
The Astrophysical Journal, 2022, 933, ⟨10.3847/1538-4357/ac7043⟩
Journal articles insu-03748248v1
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The first Hubble diagram and cosmological constraints using superluminous supernovae

C. Inserra , M. Sullivan , C.R. Angus , E. Macaulay , R.C. Nichol et al.
Mon.Not.Roy.Astron.Soc., 2021, 504 (2), pp.2535-2549. ⟨10.1093/mnras/stab978⟩
Journal articles hal-02572608v1

Quasar Accretion Disk Sizes from Continuum Reverberation Mapping in the DES Standard-star Fields

Zhefu Yu , Paul Martini , T. M. Davis , R. A. Gruendl , J. K. Hoormann et al.
The Astrophysical Journal Supplement Series, 2020, 246, ⟨10.3847/1538-4365/ab5e7a⟩
Journal articles insu-03748074v1

Steve: A Hierarchical Bayesian Model for Supernova Cosmology

S.R. Hinton , T.M. Davis , A.G. Kim , D. Brout , C.B. d'Andrea et al.
Astrophys.J., 2019, 876 (1), pp.15. ⟨10.3847/1538-4357/ab13a3⟩
Journal articles hal-01937735v1

Dark Energy Survey Year 1 results: Detection of Intra-cluster Light at Redshift $\sim$ 0.25

Y. Zhang , B. Yanny , A. Palmese , D. Gruen , C. To et al.
Astrophys.J., 2019, 874 (2), pp.165. ⟨10.3847/1538-4357/ab0dfd⟩
Journal articles hal-01965367v1

Cosmological lensing ratios with DES Y1, SPT and Planck

J. Prat , E.J. Baxter , T. Shin , C. Sánchez , B. Jain et al.
Mon.Not.Roy.Astron.Soc., 2019, 487 (1), pp.1363-1379. ⟨10.1093/mnras/stz1309⟩
Journal articles hal-01897221v1

Dark Energy Survey Year 1 Results: Cosmological constraints from cluster abundances and weak lensing

T.M.C. Abbott , M. Aguena , A. Alarcon , S. Allam , S. Allen et al.
Phys.Rev.D, 2020, 102 (2), pp.023509. ⟨10.1103/PhysRevD.102.023509⟩
Journal articles hal-02507706v1
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Dark energy survey internal consistency tests of the joint cosmological probes analysis with posterior predictive distributions

C. Doux , E. Baxter , P. Lemos , C. Chang , A. Alarcon et al.
Mon.Not.Roy.Astron.Soc., 2021, 503 (2), pp.2688-2705. ⟨10.1093/mnras/stab526⟩
Journal articles hal-03022761v1
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The Dark Energy Survey Bright Arcs Survey: Candidate Strongly Lensed Galaxy Systems from the Dark Energy Survey 5000 Square Degree Footprint

J. H. O'Donnell , R. D. Wilkinson , H. T. Diehl , C. Aros-Bunster , K. Bechtol et al.
The Astrophysical Journal Supplement Series, 2022, 259, ⟨10.3847/1538-4365/ac470b⟩
Journal articles insu-03748290v1

The Dark Energy Survey Supernova Program: Cosmological biases from supernova photometric classification

M. Vincenzi , M. Sullivan , A. Möller , P. Armstrong , B.A. Bassett et al.
Mon.Not.Roy.Astron.Soc., 2023, 518 (1), pp.1106-1127. ⟨10.1093/mnras/stac1404⟩
Journal articles hal-03472049v1
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Euclid preparation

R. Barnett , S. J. Warren , D. J. Mortlock , J.-G. Cuby , C. Conselice et al.
Astronomy and Astrophysics - A&A, 2019, 631, pp.A85. ⟨10.1051/0004-6361/201936427⟩
Journal articles cea-02334278v1

Monte Carlo control loops for cosmic shear cosmology with DES Year 1 data

T. Kacprzak , J. Herbel , A. Nicola , R. Sgier , F. Tarsitano et al.
Phys.Rev.D, 2020, 101 (8), pp.082003. ⟨10.1103/PhysRevD.101.082003⟩
Journal articles hal-02166552v1

Birds of a Feather? Magellan/IMACS Spectroscopy of the Ultra-Faint Satellites Grus II, Tucana IV, and Tucana V

J.D. Simon , T.S. Li , D. Erkal , A.B. Pace , A. Drlica-Wagner et al.
Astrophys.J., 2020, 892, pp.137. ⟨10.3847/1538-4357/ab7ccb⟩
Journal articles hal-02403545v1

Cosmological Constraints from Multiple Probes in the Dark Energy Survey

T.M.C. Abbott , A. Alarcon , S. Allam , P. Andersen , F. Andrade-Oliveira et al.
Phys.Rev.Lett., 2019, 122 (17), pp.171301. ⟨10.1103/PhysRevLett.122.171301⟩
Journal articles hal-01937771v1

Dark Energy Survey Year 1 Results: Constraints on Extended Cosmological Models from Galaxy Clustering and Weak Lensing

T.M.C. Abbott , F.B. Abdalla , S. Avila , M. Banerji , E. Baxter et al.
Phys.Rev.D, 2019, 99 (12), pp.123505. ⟨10.1103/PhysRevD.99.123505⟩
Journal articles hal-01902932v1

Modelling the Milky Way – I. Method and first results fitting the thick disc and halo with DES-Y3 data

A. Pieres , L. Girardi , E. Balbinot , B. Santiago , L.N. da Costa et al.
Mon.Not.Roy.Astron.Soc., 2020, 497 (2), pp.1547-1562. ⟨10.1093/mnras/staa1980⟩
Journal articles hal-02129648v1

Euclid Definition Study Report

R. Laureijs , J. Amiaux , S. Arduini , J.-L. Auguères , J. Brinchmann et al.
[Research Report] ESA/SRE(2011)12, 2011, 116 p
Reports in2p3-00712239v1
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Euclid preparation

H. Bretonnière , M. Huertas-Company , A. Boucaud , F. Lanusse , E. Jullo et al.
Astronomy and Astrophysics - A&A, 2022, 657, pp.A90. ⟨10.1051/0004-6361/202141393⟩
Journal articles hal-03533669v1

Overview of the Instrumentation for the Dark Energy Spectroscopic Instrument

B. Abareshi , J. Aguilar , S. Ahlen , Shadab Alam , David M. Alexander et al.
Astron.J., 2022, 164 (5), pp.207
Journal articles hal-03689519v1