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7–11 Jul 2025
Teaching and Learning Centre (TLC)
Europe/London timezone
Reminder - registration deadline for poster and talk presenters is 6th June (20th June for all other participants).

The nature of HERGs and LERGs in LoTSS DR2 − a morphological perspective

Not scheduled
1h 30m
TLC033

TLC033

Poster Active Galactic Nuclei – from ISCO to CGM and from cosmic dawn to the present day Active Galactic Nuclei – from ISCO to CGM and from cosmic dawn to the present day

Description

We present the largest visually selected sample of extended (>60 arcsec) radio-loud active galactic nuclei (RLAGN) to date, based on the LOw-Frequency Array Two-Metre Sky Survey second data release (LoTSS DR2). From the broader LoTSS DR2 dataset with spectroscopic classifications, we construct a subsample of 2828 RLAGN with radio luminosities greater than $10^{23}$ W Hz$^{−1}$ at $z$<0.57. These RLAGN are further classified by optical emission-line properties into high-excitation and low-excitation radio galaxies, enabling a detailed emission-line analysis.

Our subsample is also morphologically classified into Fanaroff $\&$ Riley centre- and edge-brightened (FRI/FRII) sources, wide- and narrow-angle tail (WAT and NAT) sources, head-tail (HT) sources, and relaxed double (RD) sources. For these classifications, we utilise data from the Very Large Array Sky Survey (VLASS) to assist with the classification, taking advantage of its 2.5 arcsec resolution which is sensitive to structures below 30 arcsec. This resolution allows us to identify compact cores and hotspots, facilitating the identification of remnant and restarted RLAGN candidates. We investigate the relationship between emission-line and radio properties in RLAGN, analysing mid infrared data, host galaxy mass, and core prominence.

These analyses uncover the complex relationship between these factors and the underlying accretion mechanisms. Our findings emphasise that no single property can fully constrain the accretion mode in RLAGN, highlighting the necessity of multi-dimensional approaches to reveal the processes driving RLAGN behaviour.

Primary author

Jones Chilufya (University of Hertfordshire)

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