177 citations · 364 across the 20 of their papers we have counts for
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Leveraging Machine Learning for Accurate and Fast Stellar Mass Estimation of Galaxies
Vahid Asadi, Akram Hasani Zonoozi, Hosein Haghi +4
Unveiling the evolutionary history of galaxies necessitates a precise understanding of their physical properties. Traditionally, astronomers achieve this through spectral energy di…
A stellar dynamical mass measurement of an inactive black hole at redshift 2
Andrew B. Newman, Meng Gu, Sirio Belli +34
Supermassive black holes and their host galaxies grow together over time, producing correlations between the black hole mass and various galaxy properties. Determining the evolutio…
Application of Manifold Learning to Selection of Different Galaxy Populations and Scaling Relation Analysis
Sogol Sanjaripour, Shoubaneh Hemmati, Bahram Mobasher +8
The growing volume of data produced by large astronomical surveys necessitates the development of efficient analysis techniques capable of effectively managing high-dimensional dat…
Chemical Abundances of Early Quiescent Galaxies: New Observations and Modelling Impacts
Marziye Jafariyazani, Andrew B. Newman, Bahram Mobasher +3
Recent stellar chemical abundance measurements of a handful of quiescent galaxies have suggested these galaxies exhibit a remarkably strong -enhancement compared to the…
Predicting the Spectroscopic Features of Galaxies by Applying Manifold Learning on Their Broad-Band Colors: Proof of Concept and Potential Applications for Euclid, Roman, and Rubin LSST
Marziye Jafariyazani, Daniel Masters, Andreas Faisst +2
Entering the era of large-scale galaxy surveys which will deliver unprecedented amounts of photometric and spectroscopic data, there is a growing need for more efficient, data driv…
The Art of Measuring Physical Parameters in Galaxies: A Critical Assessment of Spectral Energy Distribution Fitting Techniques
Camilla Pacifici, Kartheik G. Iyer, Bahram Mobasher +52
The study of galaxy evolution hinges on our ability to interpret multi-wavelength galaxy observations in terms of their physical properties. To do this, we rely on spectral energy…
Resolved Multi-element Stellar Chemical Abundances in the Brightest Quiescent Galaxy at z 2
Marziye Jafariyazani, Andrew B. Newman, Bahram Mobasher +3
Measuring the chemical composition of galaxies is crucial to our understanding of galaxy formation and evolution models. However, such measurements are extremely challenging for qu…
Bridging between the integrated and resolved main sequence of star formation
Shoubaneh Hemmati, Bahram Mobasher, Hooshang Nayyeri +6
The position of galaxies on the stellar mass, star formation rate plane with respect to the star-forming main sequence at each redshift is a convenient way to infer where the galax…
Large Scale Structures in the CANDELS Fields: The Role of the Environment in Star Formation Activity
Nima Chartab, Bahram Mobasher, Behnam Darvish +14
We present a robust method, weighted von Mises kernel density estimation, along with boundary correction to reconstruct the underlying number density field of galaxies. We apply th…
Spatially resolved properties of galaxies from CANDELS+MUSE: Radial extinction profile and insights on quenching
Marziye Jafariyazani, Bahram Mobasher, Shoubaneh Hemmati +3
Studying the internal processes of individual galaxies at kilo-parsec scales is crucial in enhancing our understanding of galaxy formation and evolution processes. In this work, we…
The clustering of typical Ly emitters from : host halo masses depend on Ly and UV luminosities
Ali Ahmad Khostovan, David Sobral, Bahram Mobasher +7
We investigate the clustering and halo properties of Ly-selected emission line galaxies (LAEs) from the Slicing COSMOS 4K (SC4K) and from archival NB497 imaging of S…