KK
K. Kiiveri
astro-ph.COastro-ph.GAastro-ph.IMgr-qchep-phhep-thastro-ph.EPastro-ph.HEphysics.ins-det
On Valency
published · living versionsW_3sjxn36v·v1 · currentpublished
Euclid Quick Data Release (Q1). The metallicity of the intracluster light
with Euclid Collaboration, J. B. Golden-Marx, N. A. Hatch, S. P. Bamford +318
1 version
Preprints & journals
88 papers in the corpus · 2013–2026Euclid Quick Data Release (Q1). Data processing for intracluster light measurements2610.29682v1 · S. P. Bamford, H. Gao, N. A. Hatch et al.2026 · 0 citationsarXiv
Euclid Quick Data Release (Q1). Exploring the complexity of quenching processes across time, environment, and mass through recently quenched galaxies2610.08999v1 · Z. Mao, L. Pozzetti, A. Enia et al.2026 · 0 citationsarXiv
Euclid preparation. First investigation of the impact of cross-contamination on spectroscopic redshift measurements with pixel-level simulations2606.24697v1 · F. Passalacqua, S. Anselmi, P. Monaco et al.2026 · 0 citationsarXiv
Euclid preparation. Testing template-fitting models for the multipoles of the two-point clustering of galaxy clusters2604.25762v2 · E. Tsaprazi, A. Fumagalli, F. Marulli et al.2026 · 0 citationsarXiv
Euclid. Populating a dark universe with galaxies using SciPIC2604.14802v2 · E. J. Gonzalez, J. Carretero, Z. Baghkhani et al.2026 · 1 citationarXiv
Euclid preparation. CII. Non-Gaussianity of 2-pt statistics likelihood: Parameter inference with a non-Gaussian likelihood in Fourier and configuration space2604.01309v2 · S. Gouyou Beauchamps, J. Bel, P. Baratta et al.2026 · 0 citationsarXiv
Euclid preparation. Galaxy power spectrum and bispectrum modelling2603.27966v2 · K. Pardede, A. Eggemeier, D. Alkhanishvili et al.2026 · 0 citationsarXiv
Euclid preparation. XCV. Cosmology Likelihood for Observables in Euclid (CLOE). 2. Code implementation2603.22475v2 · S. Joudaki, V. Pettorino, L. Blot et al.2026 · 5 citationsarXiv
Euclid preparation. CIV. Impact of galaxy intrinsic alignment modelling choices on Euclid 3x2pt cosmology2602.16448v3 · D. Navarro-Giron'es, I. Tutusaus, M. Crocce et al.2026 · 0 citationsarXiv
Euclid. Properties and performance of the NISP signal estimator2602.03574v1 · F. Cogato, B. Kubik, R. Barbier et al.2026 · 0 citationsarXiv
Euclid preparation. Galaxy power spectrum modelling in redshift space2601.20826v2 · B. Camacho Quevedo, M. Crocce, M. Pellejero Ibanez et al.2026 · 0 citationsarXiv
Euclid preparation. 3D reconstruction of the cosmic web with simulated Euclid Deep spectroscopic samples2601.10709v1 · K. Kraljic, C. Laigle, M. Balogh et al.2026 · 0 citationsarXiv
Euclid preparation. Galaxy 2-point correlation function modelling in redshift space2601.04780v1 · M. Karcher, M.-A. Breton, S. de la Torre et al.2026 · 0 citationsarXiv
Euclid Quick Data Release (Q1): Euclid spectroscopy of quasars. 1. Identification and redshift determination of 3500 bright quasars2512.08803v2 · Y. Fu, R. Bouwens, K. I. Caputi et al.2025 · 0 citationsA&A, 711, A285 (2026)
Euclid Quick Data Release (Q1). From simulations to sky: Advancing machine-learning lens detection with real Euclid data2512.05899v1 · N. E. P. Lines, T. E. Collett, P. Holloway et al.2025 · 0 citationsarXiv
Euclid preparation: LXXXI. The impact of nonparametric star formation histories on spatially resolved galaxy property estimation using synthetic Euclid images2511.22399v1 · A. Nersesian, Abdurro'uf, M. Baes et al.2025 · 0 citationsarXiv
Euclid Quick Data Release (Q1): Identification of massive galaxy candidates at the end of the Epoch of Reionisation2511.11943v1 · R. Navarro-Carrera, K. I. Caputi, C. J. R. McPartland et al.2025 · 0 citationsarXiv
Euclid preparation: LXXXVII. Non-Gaussianity of 2-point statistics likelihood: Precise analysis of the matter power spectrum distribution2511.08266v3 · J. Bel, S. Gouyou Beauchamps, P. Baratta et al.2025 · 0 citationsarXiv
Euclid Quick Data Release (Q1). Spectroscopic unveiling of highly ionised lines at z = 2.48-3.882511.03025v1 · D. Vergani, S. Quai, F. Ricci et al.2025 · 0 citationsarXiv
Euclid Quick Data Release (Q1). Searching for giant gravitational arcs in galaxy clusters with mask region-based convolutional neural networks2511.03064v2 · L. Bazzanini, G. Angora, P. Bergamini et al.2025 · 1 citationarXiv
Euclid preparation: The flat-sky approximation for the clustering of Euclid's photometric galaxies2510.17592v1 · W. L. Matthewson, R. Durrer, S. Camera et al.2025 · 1 citationarXiv
Euclid preparation XCVII. Cosmology Likelihood for Observables in Euclid (CLOE). 4: Validation and performance2510.09141v2 · M. Martinelli, A. Pezzotta, D. Sciotti et al.2025 · 2 citationsarXiv
Euclid preparation. XCVIII. Cosmology Likelihood for Observables in Euclid (CLOE). 5: Extensions beyond the standard modelling of theoretical probes and systematic effects2510.09147v2 · L. W. K. Goh, A. Nouri-Zonoz, S. Pamuk et al.2025 · 0 citationsarXiv
Euclid preparation. XCVI. Cosmology Likelihood for Observables in Euclid (CLOE). 3. Inference and Forecasts2510.09153v2 · G. Canas-Herrera, L. W. K. Goh, L. Blot et al.2025 · 0 citationsarXiv
Euclid preparation. LXXXV. Toward a DR1 application of higher-order weak lensing statistics2510.04953v2 · S. Vinciguerra, F. Bouche, N. Martinet et al.2025 · 0 citationsarXiv
Euclid preparation: Expected constraints on initial conditions2507.15819v1 · F. Finelli, Y. Akrami, A. Andrews et al.2025 · 0 citationsarXiv
Euclid preparation. Simulating thousands of Euclid spectroscopic skies2507.12116v3 · P. Monaco, G. Parimbelli, M. Y. Elkhashab et al.2025 · 7 citationsA&A 704, A306 (2025)
Euclid preparation. Full-shape modelling of 2-point and 3-point correlation functions in real space2506.22257v1 · M. Guidi, A. Veropalumbo, A. Pugno 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
Euclid preparation. LXXXIX. Accurate and precise data-driven angular power spectrum covariances2506.09118v2 · K. Naidoo, J. Ruiz-Zapatero, N. Tessore et al.2025 · 1 citationA&A 708, A167 (2026)
Unified weak lensing constraints on the evolution of the mass -- X-ray luminosity relation for galaxy clusters2505.21659v1 · Isabel Pederneiras, Alexis Finoguenov, Eduardo Cypriano et al.2025 · 1 citationarXiv
Euclid preparation. The impact of redshift interlopers on the two-point correlation function analysis2505.04688v2 · I. Risso, A. Veropalumbo, E. Branchini et al.2025 · 0 citationsA&A 707, A233 (2026)
Euclid Quick Data Release (Q1): From spectrograms to spectra: the SIR spectroscopic Processing Function2503.15307v1 · Y. Copin, M. Fumana, C. Mancini et al.2025 · 8 citationsarXiv
Euclid Quick Data Release (Q1): The evolution of the passive-density and morphology-density relations between and 2503.15313v2 · C. Cleland, S. Mei, G. De Lucia et al.2025 · 4 citationsarXiv
Euclid Quick Data Release (Q1). A probabilistic classification of quenched galaxies2503.15315v3 · P. Corcho-Caballero, Y. Ascasibar, G. Verdoes Kleijn et al.2025 · 4 citationsarXiv
Euclid Quick Data Release (Q1). First Euclid statistical study of galaxy mergers and their connection to active galactic nuclei2503.15317v2 · A. La Marca, L. Wang, B. Margalef-Bentabol et al.2025 · 8 citationsarXiv
Euclid Quick Data Release (Q1). Extending the quest for little red dots to z<42503.15323v2 · L. Bisigello, G. Rodighiero, S. Fotopoulou et al.2025 · 11 citationsarXiv
Euclid Quick Data Release (Q1). The Strong Lensing Discovery Engine C: Finding lenses with machine learning2503.15326v2 · N. E. P. Lines, T. E. Collett, M. Walmsley et al.2025 · 14 citationsarXiv
Euclid Quick Data Release (Q1). LEMON -- Lens Modelling with Neural networks. Automated and fast modelling of Euclid gravitational lenses with a singular isothermal ellipsoid mass profile2503.15329v2 · V. Busillo, C. Tortora, R. B. Metcalf et al.2025 · 1 citationarXiv
Euclid Quick Data Release (Q1). Combined Euclid and Spitzer galaxy density catalogues at 1.3 and detection of significant Euclid passive galaxy overdensities in Spitzer overdense regions2503.15331v2 · N. Mai, S. Mei, C. Cleland et al.2025 · 0 citationsarXiv
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 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)
CODEX: Role of velocity substructure in the scaling relations of galaxy clusters2307.08749v1 · S. Damsted, A. Finoguenov, N. Clerc et al.2023 · 16 citationsarXiv
Euclid: Fast two-point correlation function covariance through linear construction2205.11852v1 · E. Keihanen, V. Lindholm, P. Monaco et al.2022 · 2 citationsarXiv
CODEX Weak Lensing Mass Catalogue and implications on the mass-richness relation2101.02257v1 · K. Kiiveri, D. Gruen, A. Finoguenov et al.2021 · 15 citationsarXiv
Planck intermediate results. LVII. Joint Planck LFI and HFI data processing2007.04997v1 · Y. Akrami, K. J. Andersen, M. Ashdown et al.2020 · 303 citationsA&A 643, A42 (2020)
Planck intermediate results. LVI. Detection of the CMB dipole through modulation of the thermal Sunyaev-Zeldovich effect: Eppur si muove II2003.12646v2 · Y. Akrami, M. Ashdown, J. Aumont et al.2020 · 70 citationsA&A 644, A100 (2020)
Kinematic unrest of low mass galaxy groups2001.07367v1 · G. Gozaliasl, A. Finoguenov, H. G. Khosroshahi et al.2020 · 17 citationsA&A 635, A36 (2020)
CODEX clusters. The Survey, the Catalog, and Cosmology of the X-ray Luminosity Function1912.03262v2 · A. Finoguenov, E. Rykoff, N. Clerc et al.2019 · 16 citationsA&A 638, A114 (2020)
Planck 2018 results. V. CMB power spectra and likelihoods1907.12875v2 · N. Aghanim, Y. Akrami, M. Ashdown et al.2019 · 1,193 citationsA&A 641, A5 (2020)
Career total: at least 193 works. 88 are in this corpus.Showing the 50 most recent.
Profile built from the corpus for this byline.
Author records are still filling in while the Hub is in alpha. If this is your page, you'll be able to claim it soon. Spot a mistake? Tell us.