JZ
J. Zoubian
astro-ph.COastro-ph.GAastro-ph.IMgr-qcastro-ph.EPastro-ph.HEastro-ph.SRcs.HCcs.LGhep-ph
On Valency
published · living versionsW_a7z64yms·v1 · currentpublished
Euclid Definition Study Report
with R. Laureijs, J. Amiaux, S. Arduini, J. -L. Auguères +214
1 version
Preprints & journals
98 papers in the corpus · 2011–2026Setting SAIL: Leveraging Scientist-AI-Loops for Rigorous Visualization Tools2603.18145v1 · Nico Schuster, Andr'es N. Salcedo, Simon Bouchard et al.2026 · 0 citationsarXiv
Validation of optical pathlength stability in a LISA test-bench demonstrator2511.16749v2 · Shivani Harer, Maxime Vincent, Hubert Halloin et al.2025 · 0 citationsarXiv
Euclid preparation: The NISP spectroscopy channel, on ground performance and calibration2506.08378v2 · W. Gillard, T. Maciaszek, E. Prieto et al.2025 · 0 citationsarXiv
Low noise flux estimate and data quality control monitoring in EUCLID-NISP cosmological survey2506.05024v1 · B. Kubik, R. Barbier, P. Calabria et al.2025 · 3 citationsProceedings Volume 9904, Space Telescopes and Instrumentation 2016: Optical, Infrared, and Millimeter
Performance of the image persistence model for Euclid infrared detectors2506.02775v1 · B. Kubik, R. Barbier, G. Smadja et al.2025 · 0 citationsProceedings Volume 13103, X-Ray, Optical, and Infrared Detectors for Astronomy XI; 1310315 (2024)
Euclid preparation. Estimating galaxy physical properties using CatBoost chained regressors with attention2504.13020v1 · A. Humphrey, P. A. C. Cunha, L. Bisigello et al.2025 · 0 citationsA&A 702, A74 (2025)
Euclid preparation: 6x2 pt analysis of Euclid's spectroscopic and photometric data sets2409.18882v1 · L. Paganin, M. Bonici, C. Carbone et al.2024 · 0 citationsarXiv
Toward a universal characterization methodology for conversion gain measurement of CMOS APS: application to Euclid and SVOM2409.03374v1 · Jean Le Graet, Aur'elia Secroun, Marie Tourneur-Silvain et al.2024 · 1 citationProceedings Volume 13103, X-Ray, Optical, and Infrared Detectors for Astronomy XI; 131031W (2024)
Euclid preparation. XLIX. Selecting active galactic nuclei using observed colours2409.00175v1 · L. Bisigello, M. Massimo, C. Tortora et al.2024 · 0 citationsarXiv
Euclid preparation. The Cosmic Dawn Survey (DAWN) of the Euclid Deep and Auxiliary Fields2408.05275v3 · C. J. R. McPartland, L. Zalesky, J. R. Weaver et al.2024 · 16 citationsA&A 695, A259 (2025)
Euclid. I. Overview of the Euclid mission2405.13491v2 · Y. Mellier, Abdurro'uf, J. A. Acevedo Barroso et al.2024 · 622 citationsA&A 697, A1 (2025)
Euclid. II. The VIS Instrument2405.13492v2 · M. S. Cropper, A. Al-Bahlawan, J. Amiaux et al.2024 · 6 citationsA&A 697, A2 (2025)
Euclid. III. The NISP Instrument2405.13493v1 · K. Jahnke, W. Gillard, M. Schirmer et al.2024 · 122 citationsA&A 697, A3 (2025)
Euclid. V. The Flagship galaxy mock catalogue: a comprehensive simulation for the Euclid mission2405.13495v1 · F. J. Castander, P. Fosalba, J. Stadel et al.2024 · 66 citationsA&A 697, A5 (2025)
Euclid: Early Release Observations -- Unveiling the morphology of two Milky Way globular clusters out to their periphery2405.13498v1 · D. Massari, E. Dalessandro, D. Erkal et al.2024 · 14 citationsA&A 697, A8 (2025)
Euclid preparation. Sensitivity to neutrino parameters2405.06047v1 · M. Archidiacono, J. Lesgourgues, S. Casas et al.2024 · 37 citationsA&A 693, A58 (2025)
Euclid preparation. LIII. LensMC, weak lensing cosmic shear measurement with forward modelling and Markov Chain Monte Carlo sampling2405.00669v4 · G. Congedo, L. Miller, A. N. Taylor et al.2024 · 13 citationsA&A 691, A319 (2024)
Euclid preparation. Improving cosmological constraints using a new multi-tracer method with the spectroscopic and photometric samples2404.12157v1 · F. Dournac, A. Blanchard, S. Ili'c et al.2024 · 5 citationsA&A 690, A30 (2024)
Euclid preparation. XLII. A unified catalogue-level reanalysis of weak lensing by galaxy clusters in five imaging surveys2404.08036v1 · M. Sereno, S. Farrens, L. Ingoglia et al.2024 · 0 citationsarXiv
Euclid: Testing photometric selection of emission-line galaxy targets2403.08726v1 · M. S. Cagliari, B. R. Granett, L. Guzzo et al.2024 · 4 citationsA&A 689, A166 (2024)
Euclid preparation. XLIII. Measuring detailed galaxy morphologies for Euclid with machine learning2402.10187v2 · B. Aussel, S. Kruk, M. Walmsley et al.2024 · 0 citationsA&A 689, A274 (2024)
Euclid: Identifying the reddest high-redshift galaxies in the Euclid Deep Fields with gradient-boosted trees2402.04800v2 · T. Signor, G. Rodighiero, L. Bisigello et al.2024 · 7 citationsA&A 685, A127 (2024)
Euclid preparation. Optical emission-line predictions of intermediate-z galaxy populations in GAEA for the Euclid Deep and Wide Surveys2402.03436v1 · L. Scharr'e, M. Hirschmann, G. De Lucia et al.2024 · 0 citationsA&A 689, A276 (2024)
Euclid preparation XLVI. The Near-IR Background Dipole Experiment with Euclid2401.17945v2 · A. Kashlinsky, R. G. Arendt, M. L. N. Ashby et al.2024 · 1 citationarXiv
Euclid: Improving the efficiency of weak lensing shear bias calibration. Pixel noise cancellation and the response method on trial2401.08239v1 · H. Jansen, M. Tewes, T. Schrabback et al.2024 · 0 citationsarXiv
Euclid preparation: XLVIII. The pre-launch Science Ground Segment simulation framework2401.01452v2 · S. Serrano, P. Hudelot, G. Seidel et al.2024 · 0 citationsA&A 690, A103 (2024)
Euclid preparation. XLI. Galaxy power spectrum modelling in real space2312.00679v2 · A. Pezzotta, C. Moretti, M. Zennaro et al.2023 · 2 citationsA&A 687, A216 (2024)
Euclid Preparation. XXXVII. Galaxy colour selections with Euclid and ground photometry for cluster weak-lensing analyses2311.16239v2 · G. F. Lesci, M. Sereno, M. Radovich et al.2023 · 0 citationsarXiv
Euclid preparation. Modelling spectroscopic clustering on mildly nonlinear scales in beyond-CDM models2311.13529v3 · B. Bose, P. Carrilho, M. Marinucci et al.2023 · 15 citationsA&A 689, A275 (2024)
Euclid preparation. Spectroscopy of active galactic nuclei with NISP2311.12096v2 · E. Lusso, S. Fotopoulou, M. Selwood et al.2023 · 0 citationsarXiv
Euclid Preparation. TBD. Impact of magnification on spectroscopic galaxy clustering2311.03168v1 · G. Jelic-Cizmek, F. Sorrenti, F. Lepori et al.2023 · 0 citationsarXiv
Euclid preparation. XXXIX. The effect of baryons on the Halo Mass Function2311.01465v2 · T. Castro, S. Borgani, M. Costanzi et al.2023 · 0 citationsarXiv
Euclid preparation. LII. Forecast impact of super-sample covariance on 3x2pt analysis with Euclid2310.15731v2 · D. Sciotti, S. Gouyou Beauchamps, V. F. Cardone et al.2023 · 13 citationsA&A 691, A318 (2024)
Euclid preparation. XXXI. The effect of the variations in photometric passbands on photometric-redshift accuracy2310.14716v1 · St'ephane Paltani, J. Coupon, W. G. Hartley et al.2023 · 9 citationsA&A 681, A66 (2024)
Euclid: Identification of asteroid streaks in simulated images using deep learning2310.03845v1 · M. Pontinen, M. Granvik, A. A. Nucita et al.2023 · 17 citationsA&A 679, A135 (2023)
Euclid: The search for primordial features2309.17287v2 · M. Ballardini, Y. Akrami, F. Finelli et al.2023 · 30 citationsA&A 683, A220 (2024)
Euclid preparation. XXXIV. The effect of linear redshift-space distortions in photometric galaxy clustering and its cross-correlation with cosmic shear2309.00052v3 · K.Tanidis, V.F.Cardone, M.Martinelli et al.2023 · 11 citationsarXiv
Euclid Preparation XXXIII. Characterization of convolutional neural networks for the identification of galaxy-galaxy strong lensing events2307.08736v2 · L. Leuzzi, M. Meneghetti, G. Angora et al.2023 · 0 citationsAstronomy & Astrophysics,2024, 681, A68
Euclid: Constraining linearly scale-independent modifications of gravity with the spectroscopic and photometric primary probes2306.12368v2 · N. Frusciante, F. Pace, V.F. Cardone et al.2023 · 22 citationsA&A 690, A133 (2024)
Euclid: Constraints on f(R) cosmologies from the spectroscopic and photometric primary probes2306.11053v1 · S.Casas, V.F.Cardone, D.Sapone et al.2023 · 12 citationsarXiv
Euclid preparation. XXIX. Water ice in spacecraft part I: The physics of ice formation and contamination2305.10107v2 · M. Schirmer, K. Thurmer, B. Bras et al.2023 · 10 citationsA&A 675, A142 (2023)
Euclid preparation. XXVII. A UV-NIR spectral atlas of compact planetary nebulae for wavelength calibration2303.15525v2 · K. Paterson, M. Schirmer, Y. Copin et al.2023 · 10 citationsA&A 674, A172 (2023)
Euclid: Validation of the MontePython forecasting tools2303.09451v1 · S. Casas, J. Lesgourgues, N. Schoneberg et al.2023 · 17 citationsarXiv
Euclid preparation. XXX. Performance assessment of the NISP Red-Grism through spectroscopic simulations for the Wide and Deep surveys2302.09372v3 · L. Gabarra, C. Mancini, L. Rodriguez Munoz et al.2023 · 2 citationsAstronomy and Astrophysics (2023)
Euclid: Cosmology forecasts from the void-galaxy cross-correlation function with reconstruction2302.05302v3 · S. Radinovi'c, S. Nadathur, H.-A. Winther et al.2023 · 27 citationsA&A 677, A78 (2023)
Euclid preparation: XXVIII. Modelling of the weak lensing angular power spectrum2302.04507v1 · A. C. Deshpande, T. Kitching, A. Hall et al.2023 · 2 citationsarXiv
Euclid preparation. XXXII. Evaluating the weak lensing cluster mass biases using the Three Hundred Project hydrodynamical simulations2302.00687v2 · C. Giocoli, M. Meneghetti, E. Rasia et al.2023 · 33 citationsA&A 681, A67 (2024)
Euclid Preparation. XXVIII. Forecasts for ten different higher-order weak lensing statistics2301.12890v2 · V. Ajani, M. Baldi, A. Barthelemy et al.2023 · 61 citationsA&A 675, A120 (2023)
Euclid preparation. XXVII. Covariance model validation for the 2-point correlation function of galaxy clusters2211.12965v1 · A. Fumagalli, A. Saro, S. Borgani et al.2022 · 3 citationsarXiv
Euclid: Modelling massive neutrinos in cosmology -- a code comparison2211.12457v2 · J. Adamek, R. E. Angulo, C. Arnold et al.2022 · 25 citationsOn behalf of Euclid consortium JCAP06(2023)035
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