MP
M. Pöntinen
astro-ph.COastro-ph.GAastro-ph.IMastro-ph.EPgr-qcastro-ph.SRcs.CVcs.LGphysics.data-anphysics.space-ph
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
96 papers in the corpus · 2022–2026Euclid: Asteroid rotation periods from the Euclid Ecliptic Survey2604.25652v1 · B. Y. Irureta-Goyena, B. Altieri, J.-P. Kneib 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. XCV. Cosmology Likelihood for Observables in Euclid (CLOE). 2. Code implementation2603.22475v2 · S. Joudaki, V. Pettorino, L. Blot et al.2026 · 5 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 2-point correlation function modelling in redshift space2601.04780v1 · M. Karcher, M.-A. Breton, S. de la Torre et al.2026 · 0 citationsarXiv
Euclid preparation. Review of forecast constraints on dark energy and modified gravity2512.09748v1 · N. Frusciante, M. Martinelli, L. Lombriser et al.2025 · 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 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 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. Cosmology Likelihood for Observables in Euclid (CLOE). 6: Impact of systematic uncertainties on the cosmological analysis2510.10021v1 · L. Blot, K. Tanidis, G. Canas-Herrera et al.2025 · 0 citationsarXiv
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 LXXIX. Using mock low surface brightness dwarf galaxies to probe Euclid Wide Survey detection capabilities2509.13163v2 · M. Urbano, P.-A. Duc, M. Poulain 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)
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 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 Quick Data Release (Q1). First detections from the galaxy cluster workflow2503.19196v2 · S. Bhargava, C. Benoist, A. H. Gonzalez et al.2025 · 14 citationsarXiv
Euclid preparation LXX. Forecasting detection limits for intracluster light in the Euclid Wide Survey2503.17455v1 · C. Bellhouse, J. B. Golden-Marx, S. P. Bamford et al.2025 · 7 citationsA&A 698, A14 (2025)
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). Active galactic nuclei identification using diffusion-based inpainting of Euclid VIS images2503.15321v3 · G. Stevens, S. Fotopoulou, M. N. Bremer et al.2025 · 1 citationarXiv
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). The first catalogue of strong-lensing galaxy clusters2503.15330v1 · P. Bergamini, M. Meneghetti, A. Acebron et al.2025 · 2 citationsarXiv
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 preparation. Spatially resolved stellar populations of local galaxies with Euclid: a proof of concept using synthetic images with the TNG50 simulation2503.15635v2 · Abdurro'uf, C. Tortora, M. Baes et al.2025 · 7 citationsA&A 702, A72 (2025)
Euclid preparation CIX. Baryon acoustic oscillation analysis of photometric galaxy clustering in configuration space2503.11621v3 · V. Duret, S. Escoffier, W. Gillard et al.2025 · 0 citationsA&A, 713, A281 (2026)
Euclid: Finding strong gravitational lenses in the Early Release Observations using convolutional neural networks2502.09802v1 · B. C. Nagam, J. A. Acevedo Barroso, J. Wilde et al.2025 · 8 citationsarXiv
Euclid preparation. 3-dimensional galaxy clustering in configuration space. Part I. 2-point correlation function estimation2501.16555v1 · S. de la Torre, F. Marulli, E. Keihanen et al.2025 · 0 citationsA&A 700, A78 (2025)
Euclid preparation. LXVIII. Extracting physical parameters from galaxies with machine learning2501.14408v3 · I. Kovaci'c, M. Baes, A. Nersesian et al.2025 · 0 citationsA&A 695, A284 (2025)
Euclid preparation LX. The use of HST images as input for weak-lensing image simulations2501.08372v1 · D. Scognamiglio, T. Schrabback, M. Tewes et al.2025 · 1 citationarXiv
Euclid: Detecting Solar System objects in Euclid images and classifying them using Kohonen self-organising maps2501.05023v1 · A. A. Nucita, L. Conversi, A. Verdier et al.2025 · 2 citationsarXiv
Euclid preparation: TBD. The impact of line-of-sight projections on the covariance between galaxy cluster multi-wavelength observable properties -- insights from hydrodynamic simulations2412.00191v1 · A. Ragagnin, A. Saro, S. Andreon et al.2024 · 0 citationsA&A 695, A282 (2025)
Euclid: Searches for strong gravitational lenses using convolutional neural nets in Early Release Observations of the Perseus field2411.16808v1 · R. Pearce-Casey, B. C. Nagam, J. Wilde et al.2024 · 17 citationsarXiv
Euclid preparation. The impact of relativistic redshift-space distortions on two-point clustering statistics from the Euclid wide spectroscopic survey2410.00956v1 · M. Y. Elkhashab, D. Bertacca, C. Porciani et al.2024 · 4 citationsA&A 697, A85 (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
Euclid preparation. LXVII. Deep learning true galaxy morphologies for weak lensing shear bias calibration2409.07528v2 · B. Csizi, T. Schrabback, S. Grandis et al.2024 · 3 citationsA&A 695, A283 (2025)
Euclid preparation LXIII. Simulations and nonlinearities beyond CDM. 2. Results from non-standard simulations2409.03523v2 · G. R'acz, M.-A. Breton, B. Fiorini et al.2024 · 5 citationsA&A 695, A232 (2025)
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