Publications about the Euclid mission involving EC members

Papers of the Euclid Consortium at Euclid Consortium Editorial Board (restricted access)
Euclid in ADS abstracts (NB: those publications are not necessarily all from the Euclid Consortium)

Last update : September 21, 2019

Author Date Title Reference arXiv
Bachelet and Penny 2019 WFIRST and EUCLID: Enabling the Microlensing Parallax Measurement from Space 2019ApJ.880.32 arXiv:1908.02720
Ballardini, et al. 2019 Constraining primordial non-Gaussianity using two galaxy surveys and CMB lensing 2019MNRAS.489.1950 arXiv:1906.04730
Klypin and Prada 2019 Effects of long-wavelength fluctuations in large galaxy surveys 2019MNRAS.489.1684 arXiv:1809.03637
Habouzit, et al 2019 The diverse galaxy counts in the environment of high-redshift massive black holes in Horizon-AGN 2019MNRAS.489.1206 arXiv:1810.11535
Harvey, et al 2019 Observable tests of self-interacting dark matter in galaxy clusters: BCG wobbles in a constant density core 2019MNRAS.488.1572 arXiv:1812.06981
Davies, et al 2019 Using convolutional neural networks to identify gravitational lenses in astronomical images 2019MNRAS.487.5263 arXiv:1905.04303
Sellentin and Starck 2019 Debiasing inference with approximate covariance matrices and other unidentified biases 2019JCAP.08.021 arXiv:1902.00709
Kitching, et al. 2019 Propagating Residual Biases in Cosmic Shear Power Spectra 2019OJAp.2.55 arXiv:1904.07173
Grandis, et al. 2019 Impact of Weak Lensing Mass Calibration on eROSITA Galaxy Cluster Cosmological Studies — a Forecast 2019MNRAS.488.2041 arXiv:1810.10553
Harvey, et al. 2019 Observable tests of self-interacting dark matter in galaxy clusters: BCG wobbles in a constant density core 2019MNRAS.488.1572 arXiv:1812.06981
Marra and Chirinos Isidro 2019 A first model-independent radial BAO constraint from the final BOSS sample 2019MNRAS.487.3419 arXiv:1808.10695
Chuang, et al. 2019 UNIT project: Universe $N$-body simulations for the Investigation of Theoretical models from galaxy surveys 2019MNRAS,487.48 arXiv:1811.02111
Repp and Szapudi 2019 Predicting the Sufficient-StatistiCS Power Spectrum for Galaxy Survey: a Recipe for $PA^*$ 2019MNRAS.483.4438 arXiv:1810.02913
Masters et al 2019 The Complete Calibration of the Color─Redshift Relation (C3R2) Survey: Analysis and Data Release 2 2019.ApJ.877.81 arXiv:1904.06394
Reischke, et al. 2019 Influence of the local Universe on weak gravitational lensing surveys 2019MNRAS.486.506 arXiv:1812.06922
Kitching, et al. 2019 Rainbow cosmic shear: Optimization of tomographic bins 2019PhysRevD.99.063536
Bates, et al. 2019 Mass Functions, Luminosity Functions, and Completeness Measurements from Clustering Redshifts 2019MNRAS.486.3059 arXiv:1810.01767
Koksbang and Clarkson 2019 Accurately computing weak lensing convergence MNRAS2019.486.L41 arXiv:1812.00861
Maggie et al 2019 Detecting Solar system objects with convolutional neural networks 2019MNRAS.485.583 arXiv:1807.10912
Wang et al 2019 Cosmological inference from galaxy-clustering power spectrum: Gaussianization and covariance decomposition 2019.MNRAS.486.951 arXiv:1911.08155
Euclid Collaboration; Adam et al 2019 Euclid preparation. III. Galaxy cluster detection in the wide photometric survey, performance and algorithm selection 2019A&A.627.23 arXiv:1906.04707
Bodendorf et al 2019 Testing the near-infrared optical assembly of the space telescope Euclid 2019SPIE.11116-31 arXiv:1907.12867
Addison et al 2019 The Impact of Line Misidentification on Cosmological Constraints from Euclid and Other Spectroscopic Galaxy Surveys 2019ApJ.879.15 arXiv:1811.10668
Laigle et al 2019 Horizon-AGN virtual observatory – 1. SED-fitting performance and forecasts for future imaging surveys 2019MNRAS.486.5104 arXiv:1903.10934
Merson et al 2019 Linear bias forecasts for emission line cosmological surveys 2019MNRAS.486.5737 arXiv:1903.02030
Vernardos 2019 Microlensing flux ratio predictions for Euclid 2019MNRAS.483.5583V arXiv:1901.01246
Euclid Collaboration, Knabenhans, et al. 2019 Euclid preparation: II. The EUCLIDEMULATOR – a tool to compute the cosmology dependence of the nonlinear matter power spectrum 2019MNRAS.484.5509K arXiv:1809.04695
Petrillo, et al. 2019 LinKS: discovering galaxy-scale strong lenses in the Kilo-Degree Survey using convolutional neural networks 2019MNRAS.484.3879P arXiv:1812.03168
Gualdi, et al. 2019 Enhancing BOSS bispectrum cosmological constraints with maximal compression 2019MNRAS.484.3713G arXiv:1806.02853
Gualdi, et al. 2019 Geometrical compression: a new method to enhance the BOSS galaxy bispectrum monopole constraints 2019MNRAS.484L..29G arXiv:1901.00987
Paillas, et al. 2019 The Santiago-Harvard-Edinburgh-Durham void comparison II: unveiling the Vainshtein screening using weak lensing 2019MNRAS.484.1149P arXiv:1810.02864
Walmsley, et al. 2019 Identification of low surface brightness tidal features in galaxies using convolutional neural networks 2019MNRAS.483.2968W arXiv:1811.11616
Yankelevich and Porciani 2019 Cosmological information in the redshift-space bispectrum 2019MNRAS.483.2078Y arXiv:1807.07076
Ballardini, et al. 2019 Testing extended Jordan-Brans-Dicke theories with future cosmological observations 2019JCAP.05.049 arXiv:1902.01407
Lacasa and Grain 2019 Fast and easy super-sample covariance of large scale structure observables 2019A&A.624.61 arXiv:1809.05437
Ghosh and Durrer 2019 The observable $E_g$ statistics 2019JCAP.06.010 arXiv:1812.09546
Burgarella, et al. 2019 AKARI NEP field: Point source catalogs from GALEX and Herschel observations and selection of candidate lensed sub-millimeter galaxies 2019PASJ…71…12B
Congedo and Taylor 2019 Joint cosmological inference of cosmic sirens and gravitational wave weak lensing 2019PhysRevD.99.083526 arXiv:1812.02730
Cunnington, et al. 2019 H I intensity mapping for clustering-based redshift estimation 2019MNRAS.482.3341C arXiv:1805.04498
Plazas, et al. 2019 Image simulations for gravitational lensing with SKYLENS 2019MNRAS.482.2823P arXiv:1805.05481
Lieu, et al. 2019 Detecting solar system objects with convolutional neural networks 2019MNRAS.485.5831 arXiv:1807.10912
Jones and Heavens 2019 Bayesian photometric redshifts of blended sources 2019MNRAS.483.2487J arXiv:1808.02846
Sahlén 2019 Cluster-Void Degeneracy Breaking: Neutrino Properties and Dark Energy 2019PhRvD.99.063525 arXiv:1807.02470
Ballardini, et al. 2019 On the ISW-cluster cross-correlation in future surveys 2019MNRAS.482.2670B arXiv:1712.02380
McClintock, et al. 2019 Dark Energy Survey Year 1 results: weak lensing mass calibration of redMaPPer galaxy clusters 2019MNRAS.482.1352M arXiv:1805.00039
Petrillo, et al. 2019 Testing convolutional neural networks for finding strong gravitational lenses in KiDS 2019MNRAS.482..807P arXiv:1807.04764
Turner, et al. 2019 Reproducible k-means clustering in galaxy feature data from the GAMA survey 2019MNRAS.482..126T arXiv:1810.00887
Barros, et al. 2019 Coupled quintessence with a ΛCDM background: removing the σ8 tension 2019JCAP…01..007B arXiv:1802.09216
Euclid Collaboration, Martinet et al. 2019 Euclid Preparation IV. Impact of undetected galaxies on weak lensing shear measurements 2019A&A.627.59 arXiv:1902.00044
Sprenger, et al. 2019 Cosmology in the era of Euclid and the Square Kilometre Array 2019JCAP.02.047 arXiv:1801.08331
Monaco, et al. 2019 A blind method to recover the mask of a deep galaxy survey 2018JCAP.04.023 arXiv:1812.02104
Valogiannis and Bean 2019 Convolution Lagrangian Perturbation Theory for biased tracers beyond general relativity 2019PhysRevD.99.063526 arXiv:1901.03763
Costa, et al. 2019 J-PAS: forecasts on interacting dark energy from baryon acoustic oscillations and redshift-space distortions 2019MNRAS.488.78 arXiv:1901.02540
Kashlinsky, et al. 2019 Probing the Cross-power of Unresolved Cosmic Infrared and X-Ray Backgrounds with Upcoming Space Missions 2019ApJ…871L…6K arXiv:1812.01535
Tewes, et al. 2019 Weak-lensing shear measurement with machine learning. Teaching artificial neural networks about feature noise 2019A&A…621A..36T arXiv:1807.02120
Heisenberg, et al. 2018 Dark energy in the swampland 2018PhRvD..98l3502H arXiv:1808.02877
Brouwer, et al. 2018 Studying galaxy troughs and ridges using weak gravitational lensing with the Kilo-Degree Survey 2018MNRAS.481.5189B arXiv:1805.00562
Codis, et al. 2018 Galaxy orientation with the cosmic web across cosmic time 2018MNRAS.481.4753C arXiv:1809.06212
Bull, et al. 2018 Weak Gravitational Lensing with CO Galaxies 2018ASPC..517..803B arXiv:1806.08339
Laine, et al. 2018 LSST Cadence Optimization White Paper in Support of Observations of Unresolved Tidal Stellar Streams in Galaxies beyond the Local Group 2018arXiv181204897L arXiv:1812.04897
Snodgrass, et al. 2018 Simultaneous LSST and Euclid observations – advantages for Solar System Objects 2018arXiv181200607S arXiv:1812.00607
Holwerda, et al. 2018 Substellar and low-mass dwarf identification with near-infrared imaging space observatories 2018A&A…620A.132H arXiv:1805.00997
Camera, et al. 2018 Optimized angular power spectra for spectroscopic galaxy surveys 2018MNRAS.481.1251C arXiv:1803.10773
Deacon 2018 Detecting free-floating planets using water-dependent colour terms in the next generation of infrared space-based surveys 2018MNRAS.481..447D arXiv:1808.04828
Mancini, et al. 2018 Testing (modified) gravity with 3D and tomographic cosmic shear 2018MNRAS.480.3725S arXiv:1801.04251
Amendola, et al. 2018 Model-independent measures of gravity at large scales 2018IJMPA..3344022A
Rodríguez, et al. 2018 Fast cosmic web simulations with generative adversarial networks 2018ComAC…5….4R arXiv:1801.09070
Scolnic, et al. 2018 Optimizing the LSST Observing Strategy for Dark Energy Science: DESC Recommendations for the Deep Drilling Fields and other Special Programs 2018arXiv181200516S arXiv:1812.00516
Square Kilometre Array Cosmology Science Working Group, et al. 2018 Cosmology with Phase 1 of the Square Kilometre Array; Red Book 2018: Technical specifications and performance forecasts 2018arXiv181102743S arXiv:1811.02743
Rettura, et al. 2018 Mass─Richness Relations for X-Ray and SZE-selected Clusters at 0.4 < z < 2.0 as Seen by Spitzer at 4.5 μm 2018ApJ…867…12R arXiv:1705.00037
Copeland, et al. 2018 The impact of baryons on the sensitivity of dark energy measurements 2018MNRAS.480.2247C arXiv:1712.07112
Barreira, et al. 2018 Accurate cosmic shear errors: do we need ensembles of simulations? 2018JCAP…10..053B arXiv:1807.04266
Tansella, et al. 2018 COFFE: a code for the full-sky relativistic galaxy correlation function 2018JCAP…10..032T arXiv:1806.11090
Stadler and Bœhm 2018 Constraints on γ-CDM interactions matching the Planck data precision 2018JCAP…10..009S arXiv:1802.06589
Lee, et al. 2018 Galaxy Ellipticity Measurements in the Near-infrared for Weak Lensing 2018ApJ…866..157L arXiv:1808.05223
Bachelet, et al. 2018 Reconciling the Predictions of Microlensing Analysis with Radial Velocity Measurements for OGLE-2011-BLG-0417 2018ApJ…865..162B arXiv:1807.09354
Fotopoulou and Paltani 2018 CPz: Classification-aided photometric-redshift estimation 2018A&A…619A..14F arXiv:1808.04977
Moradinezhad Dizgah, et al. 2018 Constraints on long-lived, higher-spin particles from the galaxy bispectrum 2018PhRvD..98f3520M arXiv:1805.10247
Asgari, et al. 2018 Flat-SkyPseudo-Cls analysis for weak gravitational lensing 2018MNRAS.479..454A arXiv:1612.04664
Vagnozzi, et al. 2018 Bias due to neutrinos must not uncorrect’d go 2018JCAP…09..001V arXiv:1807.04672
Taylor 2018 RequiSim: Variance weighted overlap calculator 2018ascl.soft09016T ascl:1809.016
Chambers 2018 Pan-STARRS – The PS1 & PS2 Wide Area NEO Survey and Recent Results 2018amos.confE…9C
Crouzet, et al. 2018 Euclid H2RG detectors: Impact of crosshatch patterns on photometric and centroid errors 2018SPIE10709E..0QC
Content, et al. 2018 ATLAS probe for the study of galaxy evolution with 300,000,000 galaxy spectra 2018SPIE10698E..0IC
Taylor, et al. 2018 Preparing for the cosmic shear data flood: Optimal data extraction and simulation requirements for stage IV dark energy experiments 2018PhRvD..98d3532T arXiv:1804.03667
Nightingale, et al. 2018 AutoLens: automated modeling of a strong lens’s light, mass, and source 2018MNRAS.478.4738N arXiv:1708.07377
Bautista, et al. 2018 The SDSS-IV Extended Baryon Oscillation Spectroscopic Survey: Baryon Acoustic Oscillations at Redshift of 0.72 with the DR14 Luminous Red Galaxy Sample 2018ApJ…863..110B arXiv:1712.08064
Shapiro, et al. 2018 Intra-pixel response characterization of a HgCdTe near infrared detector with a pronounced crosshatch pattern 2018SPIE10709E..36S arXiv:1806.11185
Secroun, et al. 2018 Euclid flight H2RG IR detectors: per pixel conversion gain from on-ground characterization for the Euclid NISP instrument 2018SPIE10709E..21S
Kohley, et al. 2018 Random telegraph signal (RTS) in the Euclid IR H2RGs 2018SPIE10709E..1GK
Bai, et al. 2018 Manufacturability and performance of 2.3-μm HgCdTe H2RG sensor chip assemblies for Euclid 2018SPIE10709E..15B
Barbier, et al. 2018 Detector chain calibration strategy for the Euclid flight IR H2RGs 2018SPIE10709E..0SB
Jorden, et al. 2018 Teledyne e2v sensors optimised for ground-based and space applications 2018SPIE10709E..03J
Costille, et al. 2018 3D metrology with a laser tracker inside a vacuum chamber for NISP test campaign 2018SPIE10706E..1PC arXiv:1807.04158
Barrière, et al. 2018 Qualification and performances of a highly repeatable cryogenic actuator 2018SPIE10706E..1BB
Renaud, et al. 2018 The integration and verification of the power and mechanism control unit of the VIS instrument for the Euclid space mission 2018SPIE10705E..1FR
Carty, et al. 2018 Design and manufacturing of a precision cryogenic actuator 2018SPIE10702E..5VC
Cillis, et al. 2018 Snowballs in Euclid and WFIRST detectors 2018SPIE10698E..3AC
Horeau, et al. 2018 The Euclid STM VIS focal plane assembly metrology: description of the method to measure the CCDs position and the flatness of the full camera 2018SPIE10698E..37H
Pirnay, et al. 2018 EUCLID: design, analysis, fabrication, and test of a 1.3 m collimator for the on-ground characterization of the EUCLID payload module 2018SPIE10698E..35P
Ligori, et al. 2018 The application software of the instrument control unit of Euclid-NISP: ready for qualification tests 2018SPIE10698E..34L
Costille, et al. 2018 The EUCLID NISP grisms flight models performance 2018SPIE10698E..2BC
Cropper, et al. 2018 VIS: the visible imager for Euclid 2018SPIE10698E..28C
Eriksen and Hoekstra 2018 Implications of a wavelength-dependent PSF for weak lensing measurements 2018MNRAS.477.3433E arXiv:1707.04334
Valenziano and Maciaszek 2018 The Near Infrared SpectroPhotometer on-board the Euclid satellite: status after Critical Design Review and development plan 2018cosp…42E3491V
Scott 2018 Infrared surveys with the Origins Space Telescope 2018cosp…42E3045S
Rhodes 2018 Wide Field Space Based Surveys in the 2020s: A Panel Discussion 2018cosp…42E2839R
Racca, et al. 2018 The Euclid Mission at the Critical Design Review 2018cosp…42E2761R
Pisani 2018 Cosmology with Cosmic Voids 2018cosp…42E2688P
Mueller 2018 Neutrinos, Modified Gravity and Non-gaussianity with Euclid 2018cosp…42E2366M
Merten 2018 Learning the shape of and what shapes dark structure 2018cosp…42E2264M
Merten 2018 Multi-tracer, high-resolution mass mapping of wide fields 2018cosp…42E2263M
Mellier, et al. 2018 Unveiling the Dark Universe with the Euclid Space Mission 2018cosp…42E2252M
Melchior 2018 Pixel fusion: Modeling the sky with all available data 2018cosp…42E2248M
Mei 2018 Large-scale Structure Studies with the Optical and Infrared Surveys by Euclid and WFIRST 2018cosp…42E2246M
Lee, et al. 2018 Galaxy Ellipticity Measurements for Weak Lensing using NIR images 2018cosp…42E1967L
Laureijs, et al. 2018 Astronomical data releases, Archiving and User support – the Euclid perspective 2018cosp…42E1947L
Conversi and Miluzio 2018 Euclid Quick Look Analysis Software 2018cosp…42E.693C
Casas 2018 Dark Energy with Euclid 2018cosp…42E.522C
Carry 2018 Solar system science with Euclid 2018cosp…42E.519C
Wachter and Markovic 2018 The Euclid Mission 2018cosp…42E3569W
Nightingale, et al. 2018 PyAutoLens: Strong lens modeling 2018ascl.soft07003N ascl:1807.003
Beck, et al. 2018 Integrating human and machine intelligence in galaxy morphology classification tasks 2018MNRAS.476.5516B arXiv:1802.08713
Dijkstra 2018 Prospects for Detecting the First Black Holes with the Next Generation of Telescopes 2018arXiv180706221D arXiv:1807.06221
Moresco, et al. 2018 Euclid: A Space Mission to Study the Origin of the Accelerating Universe 2018vels.confE..34M
Valentijn 2018 Data Validation Beyond Big Data 2018vels.confE..17V
Pirnay, et al. 2018 EUCLID: design, analysis, fabrication, and test of a 1.3m collimator for the on-ground characterization of the EUCLID Payload Module 2018SPIE10692E..0BP
Weber, et al. 2018 Manufacturing of high performance VIS-NIR beam splitters by plasma assisted thin film deposition technologies 2018SPIE10691E..1AW
Uhlemann, et al. 2018 Cylinders out of a top hat: counts-in-cells for projected densities 2018MNRAS.477.2772U arXiv:1711.04767
Cuesta-Lazaro, et al. 2018 Gravitational corrections to light propagation in a perturbed FLRW universe and corresponding weak-lensing spectra 2018MNRAS.477..741C arXiv:1801.03325
Sahlén and Silk 2018 Cluster-void degeneracy breaking: Modified gravity in the balance 2018PhRvD..97j3504S
Gualdi, et al. 2018 Maximal compression of the redshift-space galaxy power spectrum and bispectrum 2018MNRAS.476.4045G arXiv:1709.03600
Tugendhat and Schäfer 2018 Angular ellipticity correlations in a composite alignment model for elliptical and spiral galaxies and inference from weak lensing 2018MNRAS.476.3460T arXiv:1709.02630
Cautun, et al. 2018 The Santiago-Harvard-Edinburgh-Durham void comparison – I. SHEDding light on chameleon gravity tests 2018MNRAS.476.3195C arXiv:1710.01730
Balaguera-Antolínez, et al. 2018 Extracting cosmological information from the angular power spectrum of the 2MASS Photometric Redshift catalogue 2018MNRAS.476.1050B arXiv:1711.04583
Moradinezhad Dizgah, et al. 2018 Galaxy bispectrum from massive spinning particles 2018JCAP…05..013M arXiv:1801.07265
Obuljen, et al. 2018 High-redshift post-reionization cosmology with 21cm intensity mapping 2018JCAP…05..004O arXiv:1709.07893
Laureijs and Euclid Collaboration 2018 Observing the high redshift Universe with Euclid 2018IAUS..333..238L
Ntelis and Ealet 2018 Homogeneity in the search of the Dark Sector 2018arXiv180510441N arXiv:1805.10441
Kashlinsky, et al. 2018 Looking at cosmic near-infrared background radiation anisotropies 2018RvMP…90b5006K arXiv:1802.07774
Charnock, et al. 2018 Automatic physical inference with information maximizing neural networks 2018PhRvD..97h3004C arXiv:1802.03537
Shin, et al. 2018 The ellipticity of galaxy cluster haloes from satellite galaxies and weak lensing 2018MNRAS.475.2421S arXiv:1705.11167
Silva, et al. 2018 Tomographic intensity mapping versus galaxy surveys: observing the Universe in H α emission with new generation instruments 2018MNRAS.475.1587S
Amendola, et al. 2018 Cosmology and fundamental physics with the Euclid satellite 2018LRR….21….2A arXiv:1606.00180
Villa, et al. 2018 Lensing convergence in galaxy clustering in ΛCDM and beyond 2018JCAP…04..033V arXiv:1711.07466
Di Valentino, et al. 2018 Exploring cosmic origins with CORE: Cosmological parameters 2018JCAP…04..017D arXiv:1612.00021
Stölzner, et al. 2018 Updated tomographic analysis of the integrated Sachs-Wolfe effect and implications for dark energy 2018PhRvD..97f3506S arXiv:1710.03238
Repp and Szapudi 2018 The bias of the log power spectrum for discrete surveys 2018MNRAS.475L…6R arXiv:1708.00954
Guzzo, et al. 2018 Measuring the Universe with galaxy redshift surveys 2018arXiv180310814G arXiv:1803.10814
Faisst, et al. 2018 Empirical Modeling of the Redshift Evolution of the [{\rm{N}}\,{\rm{II}}]/Hα Ratio for Galaxy Redshift Surveys 2018ApJ…855..132F arXiv:1710.00834
Jamal, et al. 2018 Automated reliability assessment for spectroscopic redshift measurements 2018A&A…611A..53J arXiv:1706.01103
Casas, et al. 2018 Higgs-dilaton cosmology: An inflation-dark-energy connection and forecasts for future galaxy surveys 2018PhRvD..97d3520C arXiv:1712.04956
Uhlemann, et al. 2018 A question of separation: disentangling tracer bias and gravitational non-linearity with counts-in-cells statistics 2018MNRAS.473.5098U arXiv:1705.08901
Smith, et al. 2018 Studying the Ultraviolet Spectrum of the First Spectroscopically Confirmed Supernova at Redshift Two 2018ApJ…854…37S arXiv:1712.04535
Maseda, et al. 2018 The Number Density Evolution of Extreme Emission Line Galaxies in 3D-HST: Results from a Novel Automated Line Search Technique for Slitless Spectroscopy 2018ApJ…854…29M arXiv:1608.01674
Mahlke, et al. 2018 Mining the Kilo-Degree Survey for solar system objects 2018A&A…610A..21M arXiv:1711.02780
Lanusse, et al. 2018 CMU DeepLens: deep learning for automatic image-based galaxy-galaxy strong lens finding 2018MNRAS.473.3895L arXiv:1703.02642
Skottfelt, et al. 2018 Importance of charge capture in interphase regions during readout of charge-coupled devices 2018JATIS…4a8005S arXiv:1801.01068
Larchevêque, et al. 2018 The EUCLID VIS read-out shutter unit: a low disturbance mechanism at cryogenic temperature 2018arXiv180107496L arXiv:1801.07496
Beck et al 2018 Integrating human and machine intelligence in galaxy morphology classification tasks 2018MNRAS.476.5516 arXiv:1802.08713
Zennaro et al 2018 Cosmological constraints from galaxy clustering in the presence of massive neutrinos 2018.MNRAS.477.491 arXiv:1712.02886
Er et al 2018 Calibration of colour gradient bias in shear measurement using HST/CANDELS data 2018.MNRS.476.5645 arXiv:1708.06085
Izard et al 2018 ICE-COLA: fast simulations for weak lensing observables MNRAS 473, 3051 arXiv:1707.06312
Merson et al 2018 Predicting Hα emission-line galaxy counts for future galaxy redshift surveys MNRAS 475, 177 arXiv:1710.00833
Tucillo et al 2018 Deep learning for galaxy surface brightness profile fitting MNRAS 475, 894 arXiv:1711.03108
Gomes et al 2018 Improving photometric redshift estimation using GPZ: size information, post processing, and improved photometry MNRAS 475, 331 arXiv:1712.02256
Carry 2018 Solar system science with ESA Euclid A&A 609, 133 arXiv:1711.01342
Inserra et al 2018 Euclid: Superluminous supernovae in the Deep Survey A&A 609, 83 arXiv:1710.09585
Scottez et al 2018 Testing the accuracy of clustering redshifts with simulations MNRAS 474, 3921 arXiv:1705.02629
Sellentin & Heavens 2018 On the insufficiency of arbitrarily precise covariance matrices: non-Gaussian weak-lensing likelihoods MNRAS 473, 2355 arXiv:1707.04488
Rhodes et al 2017 Scientific Synergy between LSST and Euclid ApJS 233, 21 arXiv:1710.08489
Heavens et al 2017 Massive data compression for parameter-dependent covariance matrices MNRAS 472, 4244 arXiv:1707.06529
Casas et al 2017 Linear and non-linear Modified Gravity forecasts with future surveys PDU 18, 73 arXiv:1703.01271
Reutlinger et al 2017 Development of high precision and cryogenic lens holders SPIE 10564, 3TR
Vandenrijt et al 2017 Thermo-elastic deformation measurement of the Euclid near infrared focal plane array by long wave infrared digital holography SPIE 10563, 46
Gal et al 2017 Development and verification of high precision cryogenic lens holders SPIE 10563, 4G
Rossin et al 2017 Design and functional tests of the Euclid grism mount SPIE 10563, 4W
Grange et al 2017 Full size Euclid grism prototype made by photolithography: first optical performance validation SPIE 10564, 2C
Caillat et al 2017 Bulk silica NIR blazed transmission gratings made by Silios technologies SPIE 10563, 0O
Kuntzer & Courbin 2017 Detecting unresolved binary stars in Euclid VIS images A&A 606, 119 arXiv:1708.08468
Hartley et al 2017 Support vector machine classification of strong gravitational lenses MNRAS 471, 3378 arXiv:1705.08949
Borzyszkowski et al 2017 liger: mock relativistic light cones from Newtonian simulations MNRAS 471, 3899 arXiv:1703.03407
Marchetti et al 2017 Finding bright z ≥ 6.6 Ly α emitters with lensing: prospects for Euclid MNRAS 470, 500 arXiv:1706.06543
Gouin et al 2017 Multipolar moments of weak lensing signal around clusters. Weighing filaments in harmonic space A&A 605, 27 arXiv:1703.01791
Speagle & Eisenstein 2017 Deriving photometric redshifts using fuzzy archetypes and self-organizing maps – II. Implementation MNRAS 469, 1205
Speagle & Eisenstein 2017 Deriving photometric redshifts using fuzzy archetypes and self-organizing maps – I. Methodology MNRAS 469, 1186
Hoekstra et al 2017 A study of the sensitivity of shape measurements to the input parameters of weak-lensing image simulations MNRAS 468, 3295 arXiv:1609.03281
Tucillo et al 2017 Deep learning for studies of galaxy morphology IAUS 325, 191 arXiv:1701.05917
Dubath et al 2017 The Euclid Data Processing Challenges IAUS 325, 73 arXiv:1701.08158
Kitching et al 2017 The limits of Cosmic shear MNRAS 469, 2737 arXiv:1611.04954
Masters et al 2017 The Complete Calibration of the Color–Redshift Relation (C3R2) Survey: Survey Overview and Data Release 1 ApJ 841, 111 arXiv:1704.06665
Farrens et al 2017 Space variant deconvolution of galaxy survey images A&A 601, 66 arXiv:1703.02305
Israel et al 2017 Erratum: How well can charge transfer inefficiency be corrected? A parameter sensitivity study for iterative correction MNRAS 467, 4218
Markovic et al 2017 Large-scale retrospective relative spectrophotometric self-calibration in space MNRAS 467, 3677 arXiv:1606.07061
Rabold & Teyssier 2017 Precision cosmology with baryons: non-radiative hydrodynamics of galaxy groups MNRAS 467, 3677 arXiv:1701.05337
Peel et al 2017 Cosmological constraints with weak-lensing peak counts and second-order statistics in a large-field survey A&A 599, 79 arXiv:1612.02264
Germani, C. 2017 Initial conditions for the Galileon dark energy In Physics of the Dark Universe, Vol. 15, 1 arXiv:1609.06598
Amendola et al 2017 Constraints on a scale-dependent bias from galaxy clustering PRD 95, 023505
Israel et al 2017 Problems using ratios of galaxy shape moments in requirements for weak lensing surveys A&A 598, 46
Galametz et al 2017 SED-dependent galactic extinction prescription for Euclid and future cosmological surveys A&A 598, 20 arXiv:1609.08624
Sellentin & Heavens 2017 Quantifying lost information due to covariance matrix estimation in parameter inference MNRAS 464, 4658 arXiv:1609.00504
Ascaso et al 2017 Apples to apples A2 – II. Cluster selection functions for next-generation surveys MNRAS 464, 227 arXiv:1605.07620
Amendola et al 2016 Cosmology and fundamental physics with the Euclid satellite (updated version) arXiv:1606.00180
Munshi et al 2016 Extracting the late-time kinetic Sunyaev-Zel’dovich effect MNRAS 463, 2425 arXiv:1511.03449
Tutusaus et al 2016 Dark sectors of the Universe: A Euclid survey approach Phys Rev D 94, 3515 arXiv:1607.08016
Taddei et al 2016 Model-independent constraints on modified gravity from current data and from the Euclid and SKA future surveys JCAP 12, 32 arXiv:1604.01059
Ngole et al 2016 Constraint matrix factorization for space variant PSFs field restoration Inv Pr Vol 32, 12
Bianchini et al 2016 Needlet estimation of cross-correlation between CMB lensing maps and LSS JCAP 11, 50 arXiv:1607.05223
Hannestad & Schwetz 2016 Cosmology and the neutrino mass ordering JCAP 11, 35 arXiv:1606.04691
Castignani & Benoist 2016 A new method to assign galaxy cluster membership using photometric redshifts A&A 595, 111 arXiv:1606.08744
Kubik et al 2016 A New Signal Estimator from the NIR Detectors of the Euclid Mission PASP Vol 128, 968
Cucciati et al 2016 Measuring galaxy environment with the synergy of future photometric and spectroscopic surveys MNRAS 462, 1786 arXiv:1604.05323
Ballardini et al 2016 Probing primordial features with future galaxy surveys JCAP 10, 41 arXiv:1606.03747
Joachimi,B. 2016 Euclid – an ESA Medium Class Mission ASPC 507, 40
Ban et al 2016 The microlensing rate and distribution of free-floating planets towards the Galactic bulge A&A 585, 53 arXiv:1606.06945
Boucaud et al 2016 PSF homogenization for multi-band photometry from space on extended objects EAS Pub Series Vol 78, 275
Viale et al 2016 High accuracy measurements of the intrapixel sensitivity of VIS to LWIR astronomical detectors: experimental demonstration SPIE 99151, 15
Kohley et al 2016 Random telegraph signal (RTS) noise and other anomalies in the near-infrared detector systems for the Euclid mission SPIE 99150, 15
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Last update : September 21, 2019