A Multimechanism Hybrid Model of Peaked-spectrum Radio Sources

Abstract Peaked-spectrum (PS) sources exhibit turnover characteristics in their broad radio spectra. However, the mechanism underlying this phenomenon remains elusive. The two most common hypotheses are synchrotron self-absorption (SSA) and free–free absorption (FFA). By incorporating multiple absorption scenarios, we propose a multimechanism hybrid model, which aligns well with current observational data and provides a good physical explanation. Using data from the GLEAM survey, we identified a sample of 4315 sources with peak frequencies between approximately 72 and 3000 MHz, most of which are MHz-peaked-spectrum sources. Our analysis shows that FFA rather than SSA is the dominant mechanism in producing the spectral turnover for most of the sources in this sample. The index of the optically thick spectrum α thick has a lower boundary due to FFA, and the steeper α thick indicates a complex multiabsorption mechanism. In particular, the external FFA produces substantial α thick , which exhibits a weak correlation with the peak frequency. Future ultralong-wavelength observations would also provide data on the spectrum of these sources at even lower frequencies. Determining the absorption mechanism that shaped the spectrum of these sources would be a crucial part of understanding their nature.

Authors

Institutions

Publication Details

Journal
The Astrophysical Journal
Published
2025-05-23
DOI
https://doi.org/10.3847/1538-4357/adcd75
Citations
1
Primary Topic
Radio Astronomy Observations and Technology
Type
article
Field-Weighted Citation Impact
1.15

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Multimechanism Hybrid Model of Peaked-spectrum Radio Sources

Guang-Chen Sun, Yanping Cong, Furen Deng, Fangxia An et al.
1 citations
The Astrophysical Journal
Radio Astronomy Observations and Technology
1.15
article

A Multimechanism Hybrid Model of Peaked-spectrum Radio Sources

Guang-Chen Sun, Yanping Cong, Furen Deng, Fangxia An, Xuelei Chen, Yougang Wang, Jiajun Zhang, Xin Zhang, Yichao Li
article en
1 citations

Abstract

Abstract Peaked-spectrum (PS) sources exhibit turnover characteristics in their broad radio spectra. However, the mechanism underlying this phenomenon remains elusive. The two most common hypotheses are synchrotron self-absorption (SSA) and free–free absorption (FFA). By incorporating multiple absorption scenarios, we propose a multimechanism hybrid model, which aligns well with current observational data and provides a good physical explanation. Using data from the GLEAM survey, we identified a sample of 4315 sources with peak frequencies between approximately 72 and 3000 MHz, most of which are MHz-peaked-spectrum sources. Our analysis shows that FFA rather than SSA is the dominant mechanism in producing the spectral turnover for most of the sources in this sample. The index of the optically thick spectrum α thick has a lower boundary due to FFA, and the steeper α thick indicates a complex multiabsorption mechanism. In particular, the external FFA produces substantial α thick , which exhibits a weak correlation with the peak frequency. Future ultralong-wavelength observations would also provide data on the spectrum of these sources at even lower frequencies. Determining the absorption mechanism that shaped the spectrum of these sources would be a crucial part of understanding their nature.

The Astrophysical JournalVol. 985(2)
Chinese Academy of Sciences (CN), University of Cambridge (GB), Shanghai Astronomical Observatory (CN), Purple Mountain Observatory (CN), National Astronomical Observatories (CN), University of Chinese Academy of Sciences (CN), University of the Western Cape (ZA), Northeastern University (CN)
Ministry of Science and Technology of the People's Republic of China
Openalex Percentile: Top 19%
Radio Astronomy Observations and Technology
1.15
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.