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authFullName_s : M. Meneghetti

General trends for obtaining conducting TCNQ Langmuir-Blodgett films

Michel Vandevyver , Annie Ruaudel-Teixier , Serge Palacin , Jean-Philippe Bourgoin , André Barraud et al.
Molecular Crystals and Liquid Crystals, 1991, 187, pp.327-334. ⟨10.1080/00268949008036058⟩
Journal articles cea-01057186v1

Tin dioxide based photonic systems

L.T.N. Tran , M. Meneghetti , L. Zur , Alessandro Chiasera , C. Armellini et al.
The European Conference on Lasers and Electro-Optics, CLEO_Europe 2017, Jun 2017, Munich, Germany
Conference papers hal-01695556v1
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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

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

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
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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

Abell 611. II. X-ray and strong lensing analyses

A. Donnarumma , S. Ettori , M. Meneghetti , R. Gavazzi , B. Fort et al.
Astronomy and Astrophysics - A&A, 2011, 528, pp.73. ⟨10.1051/0004-6361/201014120⟩
Journal articles hal-00660699v1

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. 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-03542092v1

CLASH: Accurate Photometric Redshifts with 14 HST bands in Massive Galaxy Cluster Cores

A. Molino , N. Benítez , B. Ascaso , D. Coe , M. Postman et al.
Mon.Not.Roy.Astron.Soc., 2017, 470 (1), pp.95-113. ⟨10.1093/mnras/stx1243⟩
Journal articles hal-01582903v1

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

Clues on the presence and segregation of very massive stars in the Sunburst Lyman-continuum cluster at z=2.37

U. Meštric , E. Vanzella , A. Upadhyaya , F. Martins , R. Marques-Chaves et al.
2023
Preprints, Working Papers, ... hal-03949079v1

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

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: 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
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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

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

Dark matter-baryons separation at the lowest mass scale: the Bullet Group

F. Gastaldello , M. Limousin , G. Foex , R. P. Munoz , T. Verdugo et al.
Monthly Notices of the Royal Astronomical Society, 2014, 442 (1), pp.L76--L80. ⟨10.1093/mnrasl/slu058⟩
Journal articles hal-01440983v1
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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
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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
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Realistic simulations of gravitational lensing by galaxy clusters: extracting arc parameters from mock DUNE images

M. Meneghetti , P. Melchior , A. Grazian , G. de Lucia , K. Dolag et al.
Astronomy and Astrophysics - A&A, 2008, 482, pp.403-418. ⟨10.1051/0004-6361:20079119⟩
Journal articles hal-03646455v1
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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: 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

Euclid: Cosmological forecasts from the void size function

S. Contarini , G. Verza , A. Pisani , N. Hamaus , M. Sahlén et al.
Astron.Astrophys., 2022, 667, pp.A162. ⟨10.1051/0004-6361/202244095⟩
Journal articles hal-03691899v1

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 : 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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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 mission: building of a reference survey

J. Amiaux , R. Scaramella , Y. Mellier , B. Altieri , C. Burigana et al.
Space Telescopes and Instrumentation 2012: Optical, Infrared, and Millimeter Wave, Jul 2012, Amsterdam, Netherlands. pp.8442-32
Conference papers in2p3-00716748v1

CLASH: THE CONCENTRATION-MASS RELATION OF GALAXY CLUSTERS

J. Merten , M. Meneghetti , M. Postman , K. Umetsu , A. Zitrin et al.
The Astrophysical Journal, 2015, 806 (1), pp.4. ⟨10.1088/0004-637X/806/1/4⟩
Journal articles hal-02397919v1