SH
Shoubaneh Hemmati
astro-ph.GAastro-ph.COastro-ph.IMgr-qcastro-ph.EPastro-ph.HEastro-ph.SRcs.CV
On Valency
published · living versionsW_9pvfmczt·v1 · currentpublished
Scientific Synergy Between LSST and Euclid
with Jason Rhodes, Robert C. Nichol, Éric Aubourg, Rachel Bean +32
1 version
W_3ukvwsjm·v1published
W_w4gfrpzf·v1published
Preprints & journals
89 papers in the corpus · 2009–2026Euclid preparation. The shape of halo profiles in CDM and non-standard cosmologies2609.04192v1 · L. Pizzuti, G. Y. Ferron, A. Ragagnin et al.2026 · 0 citationsarXiv
Enhancing WISE Infrared Imaging to Spitzer Resolution Using Deep Learning Super-Resolution2607.14295v2 · Saeed Rezaee, Shoubaneh Hemmati, Bahram Mobasher et al.2026 · 0 citationsarXiv
Euclid Quick Data Release (Q1). Searching for radio-selected \Euclid-dark galaxies in the EDF-N2607.07296v1 · M. Giulietti, I. Prandoni, L. Bisigello et al.2026 · 0 citationsarXiv
Euclid Quick Data Release (Q2) -- The Euclid Galactic Bulge Survey2606.25883v1 · J.-P. Beaulieu, E. Bachelet, M. Gilles 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: Quick Data Release (Q1) -- LensMC shear measurement catalogue for cluster lensing science2606.20829v1 · G. Congedo, M. Sereno, H. Miyatake et al.2026 · 0 citationsarXiv
Euclid preparation. Refining input galaxy shape distributions for shear calibration simulations2604.26684v1 · H. Jansen, N. Martinet, S. Grandis et al.2026 · 0 citationsarXiv
Diffusion-based Galaxy Simulations for the Roman High Latitude Survey2604.22917v1 · Diana Scognamiglio, Jake H. Lee, Eric Huff et al.2026 · 0 citationsApJ 1003 (2026) 42
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
Learning to See Sharper: A Physics-Informed Artificial Intelligence Framework for Super-Resolving Galaxy Spectra2603.18357v4 · Aryana Haghjoo, Shoubaneh Hemmati, Bahram Mobasher et al.2026 · 0 citationsarXiv
Euclid preparation. Simulated galaxy catalogues for non-standard cosmological models2603.13148v1 · M.-A. Breton, P. Fosalba, S. Avila et al.2026 · 1 citationarXiv
Euclid preparation. Far-infrared predictions for Euclid galaxy catalogues: cluster, protocluster, and field2603.13195v1 · A. Parmar, D. L. Clements, M. Bolzonella et al.2026 · 0 citationsarXiv
Euclid preparation. Testing analytic models of galaxy intrinsic alignments in the Euclid Flagship simulation2601.07784v2 · R. Paviot, B. Joachimi, K. Hoffmann et al.2026 · 0 citationsA&A A&A Volume 713, September 2026
Reducing the Dimensions of AGN Lightcurve Manifolds2601.08037v1 · Shoubaneh Hemmati, Jessica Krick, Daniel Stern et al.2026 · 0 citationsarXiv
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
Mapping the Galaxy Color-Star Formation Rate Relation with Manifold Learning and Infrared Image Stacking2511.20900v1 · Yu-Heng Lin, Daniel Masters, Andreas L. Faisst et al.2025 · 1 citationarXiv
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. 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. XCI. Validation method for the detections in the Euclid Catalogue of Galaxy Clusters using external data2509.06805v2 · J.-B. Melin, S. A. Stanford, A. Widmer 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: The NISP spectroscopy channel, on ground performance and calibration2506.08378v2 · W. Gillard, T. Maciaszek, E. Prieto et al.2025 · 0 citationsarXiv
Euclid preparation. Constraining parameterised models of modifications of gravity with the spectroscopic and photometric primary probes2506.03008v1 · I. S. Albuquerque, N. Frusciante, Z. Sakr et al.2025 · 1 citationarXiv
Selection of Dwarf Galaxies Hosting AGNs: A Measure of Bias and Contamination using Unsupervised Machine Learning Techniques2505.16509v1 · Sogol Sanjaripour, Archana Aravindan, Gabriela Canalizo et al.2025 · 0 citationsarXiv
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)
Denoising Diffusion Probabilistic Model for realistic and fast generated \textit{Euclid}-like data for weak lensing analysis2504.07183v1 · Diana Scognamiglio, Jake H. Lee, Eric Huff et al.2025 · 4 citationsApJ 985 (2025) 2
Euclid Quick Data Release (Q1). The first Euclid view of Planck galaxy protocluster candidates at cosmic noon2503.21304v3 · T. Dusserre, H. Dole, F. Sarron et al.2025 · 0 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): 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): First visual morphology catalogue2503.15310v1 · M. Walmsley, M. Huertas-Company, L. Quilley et al.2025 · 3 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). 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 A -- System overview and lens catalogue2503.15324v1 · M. Walmsley, P. Holloway, N. E. P. Lines et al.2025 · 9 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 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 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)
Searching for Quiescent Galaxies over in JWST Surveys Using Manifold Learning2501.09066v1 · Alexander de la Vega, Mitchell D. Babcock, Bahram Mobasher et al.2025 · 0 citationsarXiv
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
UVCANDELS: Catalogs of photometric redshifts and galaxy physical properties2410.16404v1 · Vihang Mehta, Marc Rafelski, Ben Sunnquist et al.2024 · 6 citationsarXiv
Dynamics of Star-forming Galaxies in a Massive Structure at \lowercase{} 2.2: Evidence for Galaxy Harassment in high- Environments2410.15177v1 · Behnam Darvish, Nima Chartab, Zahra Sattari et al.2024 · 0 citationsarXiv
Application of Manifold Learning to Selection of Different Galaxy Populations and Scaling Relation Analysis2410.07354v1 · Sogol Sanjaripour, Shoubaneh Hemmati, Bahram Mobasher et al.2024 · 1 citationarXiv
Euclid preparation. LI. Forecasting the recovery of galaxy physical properties and their relations with template-fitting and machine-learning methods2407.07940v3 · A. Enia, M. Bolzonella, L. Pozzetti et al.2024 · 9 citationsA&A 691, A175 (2024)
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)
Career total: at least 211 works. 89 are in this corpus.Showing the 50 most recent.
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