activity
20172023
most citedDeepSource: Point Source Detection using Deep Learning

53 citations · 277 across the 18 of their papers we have counts for

collaborators
Showing astro-ph.COShow all

8 papers · 1 filter

astro-ph.CO2023★ 3 cited

Clusternets: A deep learning approach to probe clustering dark energy

Amirmohammad Chegeni, Farbod Hassani, Alireza Vafaei Sadr +2

Machine Learning (ML) algorithms are becoming popular in cosmology for extracting valuable information from cosmological data. In this paper, we evaluate the performance of a Convo…

astro-ph.CO2021★ 5 cited

Planck Limits on Cosmic String Tension Using Machine Learning

M. Torki, H. Hajizadeh, M. Farhang +2

We develop two parallel machine-learning pipelines to estimate the contribution of cosmic strings (CSs), conveniently encoded in their tension (), to the anisotropies of the co…

astro-ph.CO2020

Dynamical Dark Energy Properties Hidden in the Dark Matter Halos and Voids

Aghileh S Ebrahimi, A. Vafaei Sadr, S. Tavasoli

In this paper, we analysed the halos and voids properties of a GR-based N-body simulation carried out at redshifts z= 0.0 and z= 0.8 as differences between dynamical dark energy mo…

astro-ph.CO2020★ 4 cited

Inpainting via Generative Adversarial Networks for CMB data analysis

Alireza Vafaei Sadr, Farida Farsian

In this work, we propose a new method to inpaint the CMB signal in regions masked out following a point source extraction process. We adopt a modified Generative Adversarial Networ…

astro-ph.CO2020★ 17 cited

Clustering of Local Extrema in Planck CMB maps

A. Vafaei Sadr, S. M. S. Movahed

The clustering of local extrema will be exploited to examine Gaussianity, asymmetry, and the footprint of the cosmic-string network on the CMB observed by Planck. The number densit…

astro-ph.CO2018★ 14 cited

Cosmic String Detection with Tree-Based Machine Learning

A. Vafaei Sadr, M. Farhang, S. M. S. Movahed +2

We explore the use of random forest and gradient boosting, two powerful tree-based machine learning algorithms, for the detection of cosmic strings in maps of the cosmic microwave…

astro-ph.CO2017★ 21 cited

Multi-Scale Pipeline for the Search of String-Induced CMB Anisotropies

A. Vafaei Sadr, S. M. S. Movahed, M. Farhang +2

We propose a multi-scale edge-detection algorithm to search for the Gott-Kaiser-Stebbins imprints of a cosmic string (CS) network on the Cosmic Microwave Background (CMB) anisotrop…

astro-ph.CO2017★ 10 cited

Primordial anisotropies from cosmic strings during inflation

Sadra Jazayeri, Alireza Vafaei Sadr, Hassan Firouzjahi

In this work we study the imprints of a primordial cosmic string on inflationary power spectrum. Cosmic string induces two distinct contributions on curvature perturbations power s…