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20212026
most citedExoplanets Prediction in Multiplanetary Systems

5 citations · 5 across the 7 of their papers we have counts for

collaborators

8 papers

astro-ph.GA2026

X-ray Characterization of Galaxy Groups and Hickson Groups in COSMOS-Web to z~3.8 I. X-ray Luminosity Function Evolution

Ghassem Gozaliasl, Günther Hasinger, Gavin Leroy +35

Galaxy groups are the dominant halo environment in the Universe and a sensitive laboratory for feedback and gas-cycling physics, yet a uniform, intermediate-redshift X-ray characte…

astro-ph.GA2026

Unveiling the roles of thermal and nonthermal processes in the ISM & IGM structure formation and evolution of galaxies with SKAO

Fatemeh S. Tabatabaei, Masoumeh Ghasemi-Nodehi, Mark T. Sargent +10

Investigating the thermal and nonthermal processes in the interstellar medium (ISM) and intergalactic medium (IGM) is vital to understanding the evolution of galaxies over cosmic t…

astro-ph.GA2026

Opening new parameter space windows on galaxy/AGN co-evolution with SKA radio continuum surveys

Isabella Prandoni, Mark T. Sargent, Matteo Bonato +11

In this chapter we provide an overview of the science enabled by the SKAO, focusing on galaxy/AGN co-evolution studies. In particular we discuss a number of radio continuum `refere…

astro-ph.EP2025

Exoplanetary radio emission predictions and detectability in the SKA era

Mahdiyar Mousavi-Sadr, Fatemeh S. Tabatabaei, Alexander Wolszczan +1

Radio observations provide a window into a planet's interior and play a crucial role in studying its atmosphere and surface, key factors to find potential habitability. The discove…

astro-ph.EP2025

Machine Learning for Exoplanet Detection: A Comparative Analysis Using Kepler Data

Reihaneh Karimi, Mahdiyar Mousavi-Sadr, Mohammad H. Zhoolideh Haghighi +1

The discovery of exoplanets has expanded our understanding of planetary systems and opened new avenues for astronomical research. In this study, we present a machine learning (ML)…

astro-ph.EP2024

Exoplanets Prediction in Multi-Planetary Systems and Determining the Correlation Between the Parameters of Planets and Host Stars Using Artificial Intelligence

Mahdiyar Mousavi-Sadr

The number of extrasolar planets discovered is increasing, so that more than five thousand exoplanets have been confirmed to date. Now we have an opportunity to test the validity o…

astro-ph.EP2023

Revisiting mass-radius relationships for exoplanet populations: a machine learning insight

Mahdiyar Mousavi-Sadr, Davood M. Jassur, Ghassem Gozaliasl

The growing number of exoplanet discoveries and advances in machine learning techniques have opened new avenues for exploring and understanding the characteristics of worlds beyond…

astro-ph.EP2021★ 5 cited

Exoplanets Prediction in Multiplanetary Systems

Mahdiyar Mousavi-Sadr, Ghassem Gozaliasl, Davood M. Jassur

We present the results of a search for additional exoplanets in all multiplanetary systems discovered to date, employing a logarithmic spacing between planets in our Solar System k…