activity
20162026
most citedA Population of Bona Fide Intermediate Mass Black Holes Identified as Low Luminosity Active Galactic Nuclei

157 citations · 461 across the 43 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

astro-ph.GA2025★ 2 cited

Optical Emission-Line Properties of eROSITA-selected SDSS-V Galaxies

Nadiia G. Pulatova, Evgenii Rubtsov, Igor V. Chilingarian +21

We present and discuss optical emission line properties obtained from the analysis of Sloan Digital Sky Survey (SDSS) spectra for an X-ray selected sample of 3684 galaxies (0.002 <…

astro-ph.GA2025

A Census of Compact Elliptical Galaxies in the Coma Cluster

Aleksandra V. Sharonova, Kirill A. Grishin, Igor V. Chilingarian +3

Compact elliptical (cE) galaxies are compact stellar systems with stellar masses of and radii typically < 0.6 kpc. Here we investigate the prop…

astro-ph.GA2025

Broad line region echo from highly accreting intermediate-mass black hole candidate SDSS J144850.08+160803.1. The first probe of intra-night variability and reverberation mapping

Mariia Demianenko, Anton Afanasiev, Evgenii Rubtsov +8

Elusive intermediate-mass black holes (IMBHs) can be used as ``time-squeezing'' machines, enabling studies of AGN geometry via reverberation mapping on much shorter timescales than…

astro-ph.HE2025

Multi-wavelength study of a hyperluminous X-ray source near NGC 6099: a strong IMBH candidate

Yi-Chi Chang, Roberto Soria, Albert K. H. Kong +3

We report on the intriguing properties of a variable X-ray source projected at the outskirts of the elliptical galaxy NGC 6099 ( Mpc). If truly located near NGC 6099…

astro-ph.GA2025

NGC 3259: A Signal for an Untapped Population of Slowly Accreting Intermediate-Mass Black Holes

Kirill A. Grishin, Igor V. Chilingarian, Francoise Combes +4

Low-mass active galactic nuclei (AGNs) can provide important constraints on the formation and evolution of supermassive black holes (SMBHs), a central challenge in modern cosmology…

astro-ph.IM2025

Nonlinear fitting of undersampled discrete datasets in astronomy

Igor Chilingarian, Kirill Grishin

Data analysis and interpretation often relies on an approximation of an empirical dataset by some analytic functions or models. Actual implementations usually rely on a non-linear…