94 citations · 1.1k across the 65 of their papers we have counts for
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CatBoost versus Spectral Energy Distribution-Fitting: Estimating Galaxy Properties under Controlled Photometric Incompleteness
Vahid Asadi, Hosein Haghi, Akram Hasani Zonoozi
Estimating galaxy physical parameters from photometric data is fundamentally challenged by missing measurements that are endemic to astronomical surveys. Using a mock catalog from…
COSMOS2025: A Machine Learning Census of Massive Quiescent Galaxies at
Vahid Asadi, Hosein Haghi, Akram Hasani Zonoozi
The existence of massive quiescent galaxies at high redshifts () strongly constrains the rapid quenching mechanisms in galaxy evolution models. We present a ma…
Baryonic mass budgets in the central regions of the Bullet Cluster and their consistency with strong lensing in MOND
Dong Zhang, Hosein Haghi, Elena Asencio +8
Strong lensing observations of the Bullet Cluster have traditionally been regarded as strong evidence for dark matter and a major challenge to Milgromian dynamics (MOND). The offse…
The fingerprint of primordial mass segregation on the tidal tails of star clusters
S. Mojtaba Ghasemi, Hosein Haghi, Mohammad Mansoury +3
We investigate the effect of primordial mass segregation (PMS) in shaping the tidal tail structures of star clusters, searching for any trace of PMS on the tails at both early and…
The mmax-Mecl relation in the LEGUS clusters
Marie Zinnkann, Tereza Jerabkova, Zhiqiang Yan +6
The relation between the maximum stellar mass in a very young cluster (mmax) and the total stellar mass of the cluster (Mecl), known as the mmax-Mecl relation, remains debated in t…
Machine Learning vs. Spectral Energy Distribution Fitting: A Comparative Analysis of Accuracy in Stellar Mass Estimation
Vahid Asadi, Akram Hasani Zonoozi, Hosein Haghi
Traditional spectral energy distribution (SED)-fitting methods for stellar mass estimation face persistent challenges including systematic biases and computational constraints. We…