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authFullName_s : A. Amara

Weak-lensing mass calibration of redMaPPer galaxy clusters in Dark Energy Survey Science Verification data

P. Melchior , D. Gruen , T. Mcclintock , T.N. Varga , E. Sheldon et al.
Mon.Not.Roy.Astron.Soc., 2017, 469 (4), pp.4899-4920. ⟨10.1093/mnras/stx1053⟩
Journal articles hal-01582736v1
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Euclid : Effects of sample covariance on the number counts of galaxy clusters

A. Fumagalli , A. Saro , S. Borgani , T. Castro , M. Costanzi et al.
Astron.Astrophys., 2021, 652, pp.A21. ⟨10.1051/0004-6361/202140592⟩
Journal articles hal-03210469v1

Discovery of the Lensed Quasar System DES J0408-5354

H. Lin , E. Buckley-Geer , A. Agnello , F. Ostrovski , R.G. Mcmahon et al.
Astrophys.J.Lett., 2017, 838 (2), pp.L15. ⟨10.3847/2041-8213/aa624e⟩
Journal articles hal-01554370v1

Euclid: Calibrating photometric redshifts with spectroscopic cross-correlations

K. Naidoo , H. Johnston , B. Joachimi , J.L. van den Busch , H. Hildebrandt et al.
Astron.Astrophys., 2023, 670, pp.A149
Journal articles hal-03772761v1
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Euclid : Constraining ensemble photometric redshift distributions with stacked spectroscopy

M. Cagliari , B. Granett , L. Guzzo , M. Bolzonella , L. Pozzetti et al.
Astronomy and Astrophysics - A&A, 2022, 660, pp.A9. ⟨10.1051/0004-6361/202142224⟩
Journal articles hal-03664785v1

Linear and non linear optical properties of Sb2Se3 thin films elaborated from nano-crystalline mechanically alloyed powder

R. Hamrouni , N. E. H. Segmane , D. Abdelkader , A. Amara , A. Drici et al.
Applied Physics A, 2018, 124, ⟨10.1007/s00339-018-2274-1⟩
Journal articles insu-03710543v1
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Weak lensing by galaxy troughs in DES Science Verification data

D. Gruen , O. Friedrich , A. Amara , D. Bacon , C. Bonnett et al.
Monthly Notices of the Royal Astronomical Society, 2016, 455, pp.3367-3380. ⟨10.1093/mnras/stv2506⟩
Journal articles insu-03747402v1

Observation and Confirmation of Six Strong-lensing Systems in the Dark Energy Survey Science Verification Data

B. Nord , E. Buckley-Geer , H. Lin , H. T. Diehl , J. Helsby et al.
The Astrophysical Journal, 2016, 827, ⟨10.3847/0004-637X/827/1/51⟩
Journal articles hal-03645104v1
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Euclid preparation

S. Ilić , N. Aghanim , C. Baccigalupi , J. R. Bermejo-Climent , G. Fabbian et al.
Astronomy and Astrophysics - A&A, 2022, 657, pp.A91. ⟨10.1051/0004-6361/202141556⟩
Journal articles hal-03533670v1
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The COSMOS density field: a reconstruction using both weak lensing and galaxy distributions

A. Amara , S. Lilly , K. Kovac , J. Rhodes , R. Massey et al.
Monthly Notices of the Royal Astronomical Society, 2012, 424 (1), pp.553--563. ⟨10.1111/j.1365-2966.2012.21231.x⟩
Journal articles hal-01437990v1

TRANSFORMATION OF HEALTHCARE WITH INFORMATION TECHNOLOGIES

H. Zhou , K.M. Hou , J. Ponsonnaille , L. Gineste , J. Coudon et al.
Studies in Health Technology and Informatics, 2003, 105, pp.112-120
Journal articles hal-00118050v1

Dark Energy Survey year 1 results: Cosmological constraints from galaxy clustering and weak lensing

T.M.C. Abbott , F.B. Abdalla , A. Alarcon , J. Aleksić , S. Allam et al.
Phys.Rev.D, 2018, 98 (4), pp.043526. ⟨10.1103/PhysRevD.98.043526⟩
Journal articles hal-01867211v1
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Cosmology constraints from shear peak statistics in Dark Energy Survey Science Verification data

Y. Zhang , A. R. Walker , V. Vikram , D. Thomas , G. Tarle et al.
Monthly Notices of the Royal Astronomical Society, 2016, 463, pp.3653-3673. ⟨10.1093/mnras/stw2070⟩
Journal articles hal-03645016v1

Euclid: Cosmology forecasts from the void-galaxy cross-correlation function with reconstruction

S. Radinovic , S. Nadathur , H.-A. Winther , W.J. Percival , A. Woodfinden et al.
2023
Preprints, Working Papers, ... hal-04006508v1
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Euclid preparation. XVI. Exploring the ultra-low surface brightness Universe with Euclid/VIS

A. Borlaff , P. Gómez-Alvarez , B. Altieri , P. Marcum , R. Vavrek et al.
Astronomy and Astrophysics - A&A, 2022, 657, pp.A92. ⟨10.1051/0004-6361/202141935⟩
Journal articles hal-03542092v2

Models of the strongly lensed quasar DES J0408−5354

A. Agnello , H. Lin , L. Buckley-Geer , T. Treu , V. Bonvin et al.
Mon.Not.Roy.Astron.Soc., 2017, 472 (4), pp.4038-4050. ⟨10.1093/mnras/stx2242⟩
Journal articles hal-01645195v1

Galaxy bias from galaxy–galaxy lensing in the DES science verification data

J. Prat , C. Sánchez , R. Miquel , J. Kwan , J. Blazek et al.
Mon.Not.Roy.Astron.Soc., 2018, 473 (2), pp.1667-1684. ⟨10.1093/mnras/stx2430⟩
Journal articles hal-01645201v1

Testing the lognormality of the galaxy and weak lensing convergence distributions from Dark Energy Survey maps

L. Clerkin , D. Kirk , M. Manera , O. Lahav , F. Abdalla et al.
Mon.Not.Roy.Astron.Soc., 2017, 466 (2), pp.1444-1461. ⟨10.1093/mnras/stw2106⟩
Journal articles hal-01554165v1
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Euclid preparation: XXI. Intermediate-redshift contaminants in the search for $z>6$ galaxies within the Euclid Deep Survey

S. van Mierlo , K. Caputi , M. Ashby , H. Atek , M. Bolzonella et al.
Astronomy and Astrophysics - A&A, 2022, 666, pp.A200. ⟨10.1051/0004-6361/202243950⟩
Journal articles hal-03866172v1

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

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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Galaxy bias from the Dark Energy Survey Science Verification data: combining galaxy density maps and weak lensing maps

C. Chang , A. Pujol , E. Gaztañaga , A. Amara , A. Réfrégier et al.
Monthly Notices of the Royal Astronomical Society, 2016, 459, pp.3203-3216. ⟨10.1093/mnras/stw861⟩
Journal articles hal-03645117v1

Modeling the Transfer Function for the Dark Energy Survey

C. Chang , M. T. Busha , R. H. Wechsler , A. Refregier , A. Amara et al.
The Astrophysical Journal, 2015, 801, ⟨10.1088/0004-637X/801/2/73⟩
Journal articles insu-03644754v1

Stress oxydatif et infection a vih

J. Constans , C. Conri , J.L. Pellegrin , C. Sergeant , M. Simonoff et al.
Annales de Medecine Interne, 1995, 146, pp.514-520
Journal articles in2p3-00020544v1

Structural, electronic, magnetic and thermodynamic properties of Ni 1− x Ti x O alloys an ab initio calculation and Monte Carlo study

K. Klaa , S. Labidi , R. Masrour , A. Jabar , M. Labidi et al.
Phase Transitions, 2018, 91 (6), pp.600-609. ⟨10.1080/01411594.2017.1422502⟩
Journal articles hal-01993512v1

Ti-Al-C MAX phases by aluminothermic reduction process

A. Hendaoui , D. Vrel , A. Amara , A. Benaldjia , P. Langlois et al.
International Journal of Self-Propagating High Temperature Synthesis, 2008, 17 (2), pp.125-128. ⟨10.3103/S1061386208020076⟩
Journal articles hal-03932600v1

Euclid: Testing the Copernican principle with next-generation surveys

D. Camarena , V. Marra , Z. Sakr , S. Nesseris , A. da Silva et al.
Astron.Astrophys., 2023, 671, pp.A68
Journal articles hal-03758826v1
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Euclid preparation: XXII. Selection of Quiescent Galaxies from Mock Photometry using Machine Learning

A. Humphrey , L. Bisigello , P. A. C. Cunha , M. Bolzonella , S. Fotopoulou et al.
Astronomy and Astrophysics - A&A, 2023, 671, pp.A99. ⟨10.1051/0004-6361/202244307⟩
Journal articles hal-03866216v1

Euclid preparation. XXI. Intermediate-redshift contaminants in the search for z > 6 galaxies within the Euclid Deep Survey (Corrigendum)

S. E. van Mierlo , K. I. Caputi , M. Ashby , H. Atek , M. Bolzonella et al.
Astronomy and Astrophysics - A&A, 2022, 668, pp.C3. ⟨10.1051/0004-6361/202243950e⟩
Journal articles hal-03935710v1

Euclid: Forecasts from the void-lensing cross-correlation

M. Bonici , C. Carbone , S. Davini , P. Vielzeuf , L. Paganin et al.
Astron.Astrophys., 2023, 670, pp.A47
Journal articles hal-03737493v1