Hemmati, Shoubaneh

Combined from CaltechAUTHORS

• Scognamiglio, Diana and Lee, Jake H., el al. (2026) Diffusion-based Galaxy Simulations for the Nancy Grace Roman Space Telescope High Latitude Survey; Astrophysical Journal; Vol. 1003; No. 1; 42; 10.3847/1538-4357/ae63cc
• Zalesky, L. and Weaver, J. R., el al. (2026) Euclid preparation. LXXXVI. Cosmic Dawn Survey: Evolution of the galaxy stellar mass function across 0.2 < z ≤ 6.5 measured over 10 square degrees; Astronomy & Astrophysics; Vol. 708; A104; 10.1051/0004-6361/202555728
• Matthewson, W. L. and Durrer, R., el al. (2026) Euclid preparation. LXXXIV. The flat-sky approximation for the clustering of Euclid's photometric galaxies; Astronomy & Astrophysics; Vol. 707; A234; 10.1051/0004-6361/202557773
• Quai, S. and Pozzetti, L., el al. (2026) Euclid preparation. LXXXII. Predicting star-forming galaxy scaling relations with the spectral stacking code SpectraPyle; Astronomy & Astrophysics; Vol. 707; A232; 10.1051/0004-6361/202557329
• Nersesian, A. and Abdurro'uf, el al. (2026) Euclid preparation. LXXXI. The impact of nonparametric star formation histories on spatially resolved galaxy property estimation using synthetic Euclid images; Astronomy & Astrophysics; Vol. 707; A231; 10.1051/0004-6361/202556464
• Gillard, W. and Maciaszek, T., el al. (2026) Euclid preparation. XXVII. The NISP spectroscopy channel: Ground performance and calibration; Astronomy & Astrophysics; Vol. 707; A227; 10.1051/0004-6361/202555859
• Vinciguerra, S. and Bouchè, F., el al. (2026) Euclid preparation. LXXXV. Toward a DR1 application of higher-order weak lensing statistics; Astronomy & Astrophysics; Vol. 707; A235; 10.1051/0004-6361/202557573
• Risso, I. and Veropalumbo, A., el al. (2026) Euclid preparation. LXXXIII. The impact of redshift interlopers on the two-point correlation function analysis; Astronomy & Astrophysics; Vol. 707; A233; 10.1051/0004-6361/202555402
• Paterson, K. and Schirmer, M., el al. (2026) Euclid. VI. NISP-P optical ghosts; Astronomy & Astrophysics; Vol. 707; A226; 10.1051/0004-6361/202555106
• Monaco, P. and Parimbelli, G., el al. (2025) Euclid preparation. LXXVI. Simulating thousands of Euclid spectroscopic skies; Astronomy & Astrophysics; Vol. 704; A306; 10.1051/0004-6361/202556459
• Sanjaripour, Sogol and Aravindan, Archana, el al. (2025) Selection of Dwarf Galaxies Hosting Active Galactic Nuclei: A Measure of Bias and Contamination Using Unsupervised Machine Learning Techniques; Astrophysical Journal; Vol. 992; No. 1; 138; 10.3847/1538-4357/ae0326
• Abdurro'uf and Tortora, C., el al. (2025) Euclid preparation. LXXIII. Spatially resolved stellar populations of local galaxies with Euclid: A proof of concept using synthetic images with the TNG50 simulation; Astronomy & Astrophysics; Vol. 702; A72; 10.1051/0004-6361/202554516
• de la Torre, S. and Marulli, F., el al. (2025) Euclid preparation. LXXII. Three-dimensional galaxy clustering in configuration space. 1. Two-point correlation function estimation; Astronomy & Astrophysics; Vol. 700; A78; 10.1051/0004-6361/202553927
• Bellhouse, C. and Golden-Marx, J. B., el al. (2025) Euclid preparation. LXX. Forecasting detection limits for intracluster light in the Euclid Wide Survey; Astronomy & Astrophysics; Vol. 698; A14; 10.1051/0004-6361/202553887
• Mellier, Y. and Abdurro'uf, el al. (2025) Euclid. I. Overview of the Euclid mission; Astronomy & Astrophysics; Vol. 697; A1; 10.1051/0004-6361/202450810
• Jahnke, K. and Gillard, W., el al. (2025) Euclid. III. The NISP Instrument; Astronomy & Astrophysics; Vol. 697; A3; 10.1051/0004-6361/202450786
• Feder, Richard M. and Masters, Daniel C., el al. (2024) The Universe SPHEREx Will See: Empirically Based Galaxy Simulations and Redshift Predictions; Astrophysical Journal; Vol. 972; No. 1; 68; 10.3847/1538-4357/ad596d
• Taamoli, Sina and Mobasher, Bahram, el al. (2024) Large-scale Structures in COSMOS2020: Evolution of Star Formation Activity in Different Environments at 0.4 < z < 4; Astrophysical Journal; Vol. 966; No. 1; 18; 10.3847/1538-4357/ad32c5
• Wang, Xin and Teplitz, Harry I., el al. (2024) Ultraviolet and Blue Optical Imaging of UVCANDELS; Research Notes of the AAS; Vol. 8; No. 1; 26; 10.3847/2515-5172/ad1f6f
• Chartab, Nima and Mobasher, Bahram, el al. (2023) A Machine-learning Approach to Predict Missing Flux Densities in Multiband Galaxy Surveys; Astrophysical Journal; Vol. 942; No. 2; Art. No. 91; 10.3847/1538-4357/acacf5
• Davidzon, I. and Jegatheesan, K., el al. (2022) COSMOS2020: Manifold learning to estimate physical parameters in large galaxy surveys; Astronomy and Astrophysics; Vol. 665; A34; 10.1051/0004-6361/202243249
• Ferté, Agnès and Hemmati, Shoubaneh, el al. (2021) Categorizing models using Self-Organizing Maps: an application to modified gravity theories probed by cosmic shear; 10.48550/arXiv.2110.13171
• Eifler, Tim and Simet, Melanie, el al. (2021) Cosmology with the Roman Space Telescope: synergies with the Rubin Observatory Legacy Survey of Space and Time; Monthly Notices of the Royal Astronomical Society; Vol. 507; No. 1; 1514-1527; 10.1093/mnras/stab533
• Troxel, M. A. and Long, H., el al. (2021) A synthetic Roman Space Telescope High-Latitude Imaging Survey: simulation suite and the impact of wavefront errors on weak gravitational lensing; Monthly Notices of the Royal Astronomical Society; Vol. 501; No. 2; 2044-2070; 10.1093/mnras/staa3658
• Chary, Ranga Ram and Brammer, Gabriel, el al. (2019) Joint Survey Processing of LSST, Euclid and WFIRST: Enabling a broad array of astrophysics and cosmology through pixel level combinations of datasets; 10.48550/arXiv.1910.01259