Observations by GMRT at 323 MHz of radio-loud quasars at $z>5$

TL;DR

This study uses GMRT 323 MHz observations to analyze the radio properties of 13 high-redshift quasars, revealing spectral behaviors, potential absorption mechanisms, and a wide range of radio loudness, advancing understanding of early universe quasars.

Contribution

First low-frequency GMRT observations of $z>5$ radio-loud quasars, providing new insights into their spectral properties and absorption mechanisms.

Findings

10 out of 12 quasars detected at 4σ significance

Spectral energy distributions show power-law and turnover behaviors

Radio loudness varies widely among the sample

Abstract

We present Giant Metrewave Radio Telescope (GMRT) 323 MHz radio continuum observations toward 13 radio-loud quasars at $z>5$, sampling the low-frequency synchrotron emission from these objects. Among the 12 targets successfully observed, we detected 10 above $4\sigma$ significance, while 2 remain undetected. All of the detected sources appear as point sources. Combined with previous radio continuum detections from the literature, 9 quasars have power-law spectral energy distributions throughout the radio range; for some the flux density drops with increasing frequency while it increases for others. Two of these sources appear to have spectral turnover. For the power-law-like sources, the power-law indices have a positive range between 0.18 and 0.67 and a negative values between $-0.90$ and $-0.27$. For the turnover sources, the radio peaks around $\sim1$ and $\sim10$ GHz in the rest frame, the optically thin indices are $-0.58$ and $-0.90$, and the optically thick indices are 0.50 and 1.20. A magnetic field and spectral age analysis of SDSS J114657.59+403708.6 at $z=5.01$ may indicate that the turnover is not caused by synchrotron self-absorption, but rather by free-free absorption by the high-density medium in the nuclear region. Alternatively, the apparent turnover may be an artifact of source variability. Finally, we calculated the radio loudness $R_{2500\rm\, \AA}$ for our sample, which spans a very wide range from 12$^{+13}_{-13}$ to 4982$^{+279}_{-254}$.