| Nome |
# |
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Setting the Stage for Cosmic Chronometers. I. Assessing the Impact of Young Stellar Populations on Hubble Parameter Measurements, file e1dcb332-b906-7715-e053-1705fe0a6cc9
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146
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On the robustness of the Hβ Lick index as a cosmic clock in passive early-type galaxies, file e1dcb332-da21-7715-e053-1705fe0a6cc9
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142
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A methodology to select galaxies just after the quenching of star formation, file e1dcb335-1312-7715-e053-1705fe0a6cc9
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131
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Cosmological constraints from a joint analysis of cosmic growth and expansion, file e1dcb335-551d-7715-e053-1705fe0a6cc9
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129
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Galaxies in the act of quenching star formation, file e1dcb335-7dce-7715-e053-1705fe0a6cc9
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104
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Euclid preparation: V. Predicted yield of redshift 7 < z < 9 quasars from the wide survey, file e1dcb333-9678-7715-e053-1705fe0a6cc9
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100
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Euclid preparation: VI. Verifying the performance of cosmic shear experiments, file e1dcb335-66d7-7715-e053-1705fe0a6cc9
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95
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Euclid preparation: VIII. The Complete Calibration of the Colour-Redshift Relation survey: VLT/KMOS observations and data release, file e1dcb335-fc17-7715-e053-1705fe0a6cc9
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77
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The VANDELS ESO public spectroscopic survey, file e1dcb335-6b09-7715-e053-1705fe0a6cc9
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67
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Euclid preparation: X. The Euclid photometric-redshift challenge, file e1dcb336-1038-7715-e053-1705fe0a6cc9
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65
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A joint 2-and 3-point clustering analysis of the VIPERS PDR2 catalogue at z ∼ 1: Breaking the degeneracy of cosmological parameters, file e1dcb339-8a74-7715-e053-1705fe0a6cc9
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62
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The VANDELS ESO public spectroscopic survey: Observations and first data release, file e1dcb331-2eb4-7715-e053-1705fe0a6cc9
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58
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Euclid preparation: VII. Forecast validation for Euclid cosmological probes, file e1dcb337-23ad-7715-e053-1705fe0a6cc9
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58
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A 6% measurement of the Hubble parameter at z∼0.45: Direct evidence of the epoch of cosmic re-acceleration, file e1dcb338-2bd1-7715-e053-1705fe0a6cc9
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55
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The local and distant Universe: stellar ages and H0, file e1dcb337-f00e-7715-e053-1705fe0a6cc9
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50
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Euclid: Forecasts for k-cut 3×2 Point Statistics, file 77dfddda-f56e-4c82-be58-9a806c0a69fb
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48
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Euclid: the selection of quiescent and star-forming galaxies using observed colours, file e1dcb339-1d63-7715-e053-1705fe0a6cc9
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47
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An improved model-independent assessment of the late-time cosmic expansion, file e1dcb338-7a32-7715-e053-1705fe0a6cc9
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46
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Euclid preparation: I. the Euclid Wide Survey, file 7ea2ce30-7b5a-4880-bafb-dcec89e2bb1c
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44
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Euclid preparation: XVII. Cosmic Dawn Survey: Spitzer Space Telescope observations of the Euclid deep fields and calibration fields, file e1dcb339-c884-7715-e053-1705fe0a6cc9
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40
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Euclid preparation: IX. EuclidEmulator2 -- Power spectrum emulation with massive neutrinos and self-consistent dark energy perturbations, file e1dcb339-8677-7715-e053-1705fe0a6cc9
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39
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Euclid preparation: XV. Forecasting cosmological constraints for the Euclid and CMB joint analysis, file e1dcb339-16e3-7715-e053-1705fe0a6cc9
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38
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Euclid preparation: XIII. Forecasts for galaxy morphology with the Euclid Survey using deep generative models, file e1dcb339-2621-7715-e053-1705fe0a6cc9
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38
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Euclid preparation: XVI. Exploring the ultra-low surface brightness Universe with Euclid /VIS, file e1dcb339-576f-7715-e053-1705fe0a6cc9
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37
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C3: Cluster Clustering Cosmology. II. First Detection of the Baryon Acoustic Oscillations Peak in the Three-point Correlation Function of Galaxy Clusters, file e1dcb339-e315-7715-e053-1705fe0a6cc9
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35
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Euclid preparation: XII. Optimizing the photometric sample of the Euclid survey for galaxy clustering and galaxy-galaxy lensing analyses, file e1dcb339-2096-7715-e053-1705fe0a6cc9
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31
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Erratum: Euclid preparation: VI. Verifying the Performance of Cosmic Shear Experiments (A&A (2020) 635 A139 DOI: 10.1051/0004-6361/201936980), file e1dcb339-8a9f-7715-e053-1705fe0a6cc9
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31
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Unveiling the Universe with emerging cosmological probes, file 57774ca5-7212-419b-adb3-eb7a4a5567fb
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30
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Cosmology intertwined: A review of the particle physics, astrophysics, and cosmology associated with the cosmological tensions and anomalies, file 31f208cb-d9ba-4238-8f0a-71b45454ca8f
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28
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Euclid preparation XIX. Impact of magnification on photometric galaxy clustering, file 38eabed2-4a34-4734-b92b-21877dbba935
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27
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Euclid preparation: XI. Mean redshift determination from galaxy redshift probabilities for cosmic shear tomography, file e1dcb339-1948-7715-e053-1705fe0a6cc9
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26
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Setting the Stage for Cosmic Chronometers. II. Impact of Stellar Population Synthesis Models Systematics and Full Covariance Matrix, file e1dcb339-d731-7715-e053-1705fe0a6cc9
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26
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Eppur è piatto? The Cosmic Chronometers Take on Spatial Curvature and Cosmic Concordance, file e1dcb339-ea80-7715-e053-1705fe0a6cc9
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25
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Raising the bar: new constraints on the Hubble parameter with cosmic chronometers at z~2, file e1dcb338-6c00-7715-e053-1705fe0a6cc9
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24
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Euclid: Effects of sample covariance on the number counts of galaxy clusters, file e1dcb339-4a57-7715-e053-1705fe0a6cc9
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24
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Spatially resolved signature of quenching in star-forming galaxies, file e1dcb339-ca6e-7715-e053-1705fe0a6cc9
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22
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The halo 3-point correlation function: a methodological analysis, file 571d18c9-49a0-4db5-a617-d5bf25e6163e
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20
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Euclid Preparation. XIV. The Complete Calibration of the Color-Redshift Relation (C3R2) Survey: Data Release 3, file e1dcb339-ea7f-7715-e053-1705fe0a6cc9
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19
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Euclid preparation: XXXII. Evaluating the weak-lensing cluster mass biases using the Three Hundred Project hydrodynamical simulations, file 26c4c5df-14a1-419b-a0f4-8c903fea04dc
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17
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Euclid: Calibrating photometric redshifts with spectroscopic cross-correlations, file cddba886-13fc-4ea8-939a-656bb3021b67
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17
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Euclid: Forecasts from the void-lensing cross-correlation, file 2ac0d5dc-d65e-4db6-89a3-2eb7423d35fd
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16
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The VANDELS ESO public spectroscopic survey: Final data release of 2087 spectra and spectroscopic measurements, file e1dcb339-855f-7715-e053-1705fe0a6cc9
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16
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A combined VANDELS and LEGA-C study: the evolution of quiescent galaxy size, stellar mass, and age from z = 0.6 to z = 1.3, file ea0d4d1a-2089-4a9f-954a-8519e03f25eb
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16
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C3Cluster Clustering Cosmology I. New Constraints on the Cosmic Growth Rate at z ~ 0.3 from Redshift-space Clustering Anisotropies, file 2bd1c29e-ae69-4fa7-a4d7-bca16406bdff
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13
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Euclid : Cosmological forecasts from the void size function, file 16e1971c-00c0-4327-ad9b-dedf893b17df
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12
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Euclid preparation. XXI. Intermediate-redshift contaminants in the search for z > 6 galaxies within the Euclid Deep Survey (Corrigendum), file 57b7193e-9155-4dc4-9f2f-1a34d3c4d427
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12
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KiDS and Euclid : Cosmological implications of a pseudo angular power spectrum analysis of KiDS-1000 cosmic shear tomography, file 360b5587-3a6c-4ed4-926b-57559a11462d
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11
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Euclid preparation: XX. The Complete Calibration of the Color-Redshift Relation survey: LBT observations and data release, file ef3543f9-8186-45a7-9bf7-ff9785ad0a35
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10
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Toward a Better Understanding of Cosmic Chronometers: Stellar Population Properties of Passive Galaxies at Intermediate Redshift, file f11da33c-08e9-4414-8b9f-c3a2378c50bd
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10
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Euclid : Fast two-point correlation function covariance through linear construction, file 0457d8fd-4205-4699-b0d7-ea148cee39c5
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9
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Euclid preparation. XXI. Intermediate-redshift contaminants in the search for z >6 galaxies within the Euclid Deep Survey, file ac694fcf-42fd-4e17-acd5-28b4db3d10c3
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8
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An analytical late–Universe approach to the weaving of modern cosmology, file 0027ea8a-ec69-40a3-adb0-b2b257cb1a29
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7
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Toward a Better Understanding of Cosmic Chronometers: A new measurement
of H(z) at z~0.7, file 5d7b541d-b22c-4f14-b17e-6d20ca702fdc
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7
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Revisiting the Oldest Stars as Cosmological Probes: New Constraints on the Hubble Constant, file 069a5c82-9073-49a0-973c-2b3d18b4721f
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6
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Euclid: Covariance of weak lensing pseudo-Cℓ estimates. Calculation, comparison to simulations, and dependence on survey geometry, file 3f183514-8095-4121-a112-344ca2873531
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6
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Euclid: Constraining ensemble photometric redshift distributions with stacked spectroscopy, file 0a5236c1-1120-4daa-bf48-2bbc55e333e6
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5
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The ionizing photon production efficiency of bright z ∼ 2 − 5 galaxies, file aae88c81-ce4c-4940-9dea-f5a326b9b780
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5
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Euclid: Forecasts from redshift-space distortions and the Alcock-Paczynski test with cosmic voids, file b6aa4e5d-a9de-47ba-851c-436d17eaa5c1
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5
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Euclid: Forecast constraints on consistency tests of the ∧CDM model, file b6aea434-1e64-4c27-82ce-60f3616df375
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5
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The local and distant Universe: stellar ages and H0, file e1dcb334-59d5-7715-e053-1705fe0a6cc9
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5
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C3Cluster Clustering Cosmology I. New Constraints on the Cosmic Growth Rate at z ~ 0.3 from Redshift-space Clustering Anisotropies, file e1dcb339-2d20-7715-e053-1705fe0a6cc9
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5
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Euclid preparation - XXIII. Derivation of galaxy physical properties with deep machine learning using mock fluxes and H-band images, file 29b15d4f-4ecf-4c22-93f4-67e138350148
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4
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Euclid preparation. XVIII. The NISP photometric system, file ecc8f31d-9313-44e6-bc09-28991e975908
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4
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Euclid: Searching for pair-instability supernovae with the Deep Survey, file 7c15e1a4-c410-4b02-b83c-40c7948fe167
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3
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Euclid preparation. XXX. Performance assessment of the NISP red grism through spectroscopic simulations for the wide and deep surveys, file 7c9daea3-6da9-4da1-bd44-308d8868117b
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3
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Euclid: Testing the Copernican principle with next-generation surveys, file 8c61438f-af98-4761-97e0-7fd88d006b0a
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3
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Euclid: Cosmology forecasts from the void-galaxy cross-correlation function with reconstruction, file 906820bd-6e46-4c93-9b5f-2111ee457527
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3
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Euclid preparation. XXV. The Euclid Morphology Challenge: Towards model-fitting photometry for billions of galaxies, file b4b3b4eb-912f-4fe3-b76c-50ad0594afbf
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3
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Euclid preparation. XXII. Selection of quiescent galaxies from mock photometry using machine learning, file e6c6c42a-fb7c-4f81-9139-0475983fd521
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3
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Euclid preparation. XXVIII. Forecasts for ten different higher-order weak lensing statistics, file 024db10d-facd-4015-98e1-273efbddf965
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2
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Cosmology intertwined: A review of the particle physics, astrophysics, and cosmology associated with the cosmological tensions and anomalies, file 1b3da091-b1fc-434a-bc59-6bacb48aac00
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2
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Euclid preparation. XXIV. Calibration of the halo mass function in Lambda_nu-CDM cosmologies, file 25787658-d6fd-470d-b680-3267202fb577
|
2
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Euclid preparation. XXVII. A UV-NIR spectral atlas of compact planetary nebulae for wavelength calibration, file 3f1cf588-a278-423c-be2c-3cc95f8aaa7e
|
2
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Euclid preparation: XXVI. the Euclid Morphology Challenge: Towards structural parameters for billions of galaxies, file 5b198dd6-ffa7-4fc0-9ebd-074e72b991e4
|
2
|
|
Euclid: Identification of asteroid streaks in simulated images using deep learning, file 6db6414e-6493-4d34-a516-db77a7835d34
|
2
|
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Measuring the distance-redshift relation with the baryon acoustic oscillations of galaxy clusters, file e1dcb32e-7285-7715-e053-1705fe0a6cc9
|
2
|
|
An improved model-independent assessment of the late-time cosmic expansion, file e1dcb332-cbae-7715-e053-1705fe0a6cc9
|
2
|
|
Euclid preparation: X. The Euclid photometric-redshift challenge, file e1dcb336-8b37-7715-e053-1705fe0a6cc9
|
2
|
|
Euclid preparation: XXIX. Water ice in spacecraft. Part I: The physics of ice formation and contamination, file fb0fc25c-f711-4d99-ac40-a96af3cfecaf
|
2
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Insights into the reionization epoch from cosmic-noon-Civ emitters in the VANDELS survey, file 563314ae-ae31-4bf3-af6b-1ba932a8bdbe
|
1
|
|
The PAU Survey and Euclid: Improving broadband photometric redshifts with multi-task learning, file 7699eee2-1d4d-420c-b151-933dba56317b
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1
|
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Euclid: modelling massive neutrinos in cosmology - a code comparison, file 9cea9882-18cb-4178-ad10-4fb616bafea0
|
1
|
|
The VIMOS Public Extragalactic Redshift Survey (VIPERS): Exploring the dependence of the three-point correlation function on stellar mass and luminosity at 0.5 < z < 1.1, file e1dcb330-ca1b-7715-e053-1705fe0a6cc9
|
1
|
|
Setting the Stage for Cosmic Chronometers. II. Impact of Stellar Population Synthesis Models Systematics and Full Covariance Matrix, file e1dcb337-0bce-7715-e053-1705fe0a6cc9
|
1
|
|
Eppur è piatto? The Cosmic Chronometers Take on Spatial Curvature and Cosmic Concordance, file e1dcb339-9b03-7715-e053-1705fe0a6cc9
|
1
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| Totale |
2.359 |