SH
S. Hemmati
astro-ph.GAastro-ph.CO
On Valency
published · living versionsW_8nct5nrr·v1 · currentpublished
Euclid Bypass end-to-end simulations for spectroscopic galaxy clustering performance assessment
with Euclid Collaboration, B. R. Granett, S. de la Torre, M. Moresco +319
1 version
Preprints & journals
7 papers in the corpus · 2025–2026Euclid Quick Data Release (Q1). A systematic study of the intracluster light fraction at 0.2 < z < 1.52610.29684v1 · H. Gully, N. A. Hatch, H. Gao et al.2026 · 0 citationsarXivon Valency
Euclid Bypass end-to-end simulations for spectroscopic galaxy clustering performance assessment2610.26990v1 · B. R. Granett, S. de la Torre, M. Moresco et al.2026 · 0 citationsarXivon Valency
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 Quick Data Release (Q1) Euclid spectroscopy of quasars. 2. Physical properties from spectral fitting2609.20947v1 · J. Calhau, G. Calderone, A. Feltre et al.2026 · 0 citationsarXiv
Euclid. A two-point correlation approach to diagnosing star-related systematics in the Euclid spectroscopic survey2609.05155v1 · I. Risso, B. R. Granett, E. Branchini et al.2026 · 0 citationsarXiv
Euclid Quick Data Release (Q1). Quenching precedes bulge formation in dense environments but follows it in the field2511.02964v2 · F. Gentile, E. Daddi, D. Elbaz et al.2025 · 0 citationsarXiv
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)
Career total: 10 works. 7 are in this corpus.
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