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authFullName_s : C. Carbone
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Cosmological constraints from galaxy clustering in the presence of massive neutrinos

C Zennaro , J Dossett , Julien Bel , C. Carbone , L Guzzo et al.
Monthly Notices of the Royal Astronomical Society, 2018, 477 (1), pp.491 - 506. ⟨10.1093/mnras/sty670⟩
Journal articles hal-01779813v1

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

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
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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: Modelling massive neutrinos in cosmology – a code comparison

J. Adamek , R.E. Angulo , C. Arnold , M. Baldi , M. Biagetti et al.
2022
Preprints, Working Papers, ... hal-03892198v1

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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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
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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

Evidence of graphene-like electronic signature in silicene nanoribbons

P. de Padova , C. Quaresima , C. Ottaviani , P.M. Sheverdyaeva , P. Moras et al.
Applied Physics Letters, 2010, 96 (26), pp.261905. ⟨10.1063/1.3459143⟩
Journal articles hal-00523869v1

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
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Accurate fitting functions for peculiar velocity spectra in standard and massive-neutrino cosmologies

J. Bel , A. Pezzotta , C. Carbone , E. Sefusatti , L. Guzzo et al.
Astron.Astrophys., 2019, 622, pp.A109. ⟨10.1051/0004-6361/201834513⟩
Journal articles hal-01897135v1
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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

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

Cosmology and fundamental physics with the Euclid satellite

L. Amendola , S. Appleby , D. Bacon , T. Baker , M. Baldi et al.
Living Reviews in Relativity, 2013, 16, pp.6. ⟨10.12942/lrr-2013-6⟩
Journal articles in2p3-00720626v1
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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
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Chemical composition of PM10 and PM1 at the high-altitude Himalayan station Nepal Climate Observatory-Pyramid (NCO-P) (5079 m a.s.l.)

S. Decesari , M. C. Facchini , C. Carbone , L. Giulianelli , M. Rinaldi et al.
Atmospheric Chemistry and Physics, 2010, 10 (10), pp.4583-4596. ⟨10.5194/acp-10-4583-2010⟩
Journal articles insu-00554278v1
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Euclid preparation

A. Blanchard , S. Camera , C. Carbone , V. F. Cardone , S. Casas et al.
Astronomy and Astrophysics - A&A, 2020, 642, pp.A191. ⟨10.1051/0004-6361/202038071⟩
Journal articles hal-02976446v1
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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

Euclid Preparation XXIX: Forecasts for 10 different higher-order weak lensing statistics

V. Ajani , M. Baldi , A. Barthelemy , A. Boyle , P. Burger et al.
2023
Preprints, Working Papers, ... hal-03986111v1

Euclid: Forecasts for $k$-cut $3 \times 2$ Point Statistics

P.L. Taylor , T. Kitching , V.F. Cardone , A. Ferté , E.M. Huff et al.
Open J.Astrophys., 2021, 4 (1), pp.6. ⟨10.21105/astro.2012.04672⟩
Journal articles hal-03129526v1
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Euclid preparation

P. Paykari , T. Kitching , H. Hoekstra , R. Azzollini , V. F. Cardone et al.
Astronomy and Astrophysics - A&A, 2020, 635, pp.A139. ⟨10.1051/0004-6361/201936980⟩
Journal articles cea-02516435v1
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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

Euclid preparation. XXX. Evaluating the weak lensing cluster mass biases using the Three Hundred Project hydrodynamical simulations

C. Giocoli , M. Meneghetti , E. Rasia , S. Borgani , G. Despali et al.
2023
Preprints, Working Papers, ... hal-03991062v1

Euclid preparation. XXVII. Covariance model validation for the 2-point correlation function of galaxy clusters

A. Fumagalli , A. Saro , S. Borgani , T. Castro , M. Costanzi et al.
2022
Preprints, Working Papers, ... hal-03892184v1
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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

Testing fundamental cosmological assumptions with Euclid

M. Martinelli , C.J A.P. Martins , S. Nesseris , I. Tutusaus , A. Avgoustidis et al.
17th International Conference on Topics in Astroparticle and Underground Physics, Aug 2021, Valencia, Spain. pp.012019, ⟨10.1088/1742-6596/2156/1/012019⟩
Conference papers hal-03591416v1
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Euclid preparation

G. Desprez , S. Paltani , J. Coupon , I. Almosallam , A. Alvarez-Ayllon et al.
Astronomy and Astrophysics - A&A, 2020, 644, pp.A31. ⟨10.1051/0004-6361/202039403⟩
Journal articles hal-03026946v1

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