2021
DOI: 10.48550/arxiv.2110.05484
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Tailed Radio Galaxies from the TIFR GMRT Sky Survey

Netai Bhukta,
Sushanta K. Mondal,
Sabyasachi Pal

Abstract: We present a list of candidate tailed radio galaxies using the TIFR GMRT Sky Survey Alternative Data Release 1 (TGSS ADR1) at 150 MHz. We have visually examined 5336 image fields and found 268 candidates for the tailed galaxy. Tailed radio galaxies are classified as Wide Angle Tailed (WAT) galaxies and Narrow-Angle Tailed (NAT) galaxies, based on the angle between the two jets of the galaxy. We found a sample of tailed radio galaxies which includes 189 'WAT' and 79 'NAT' type sources. These newly identified ta… Show more

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Cited by 2 publications
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“…The 101 radio galaxies identified by Proctor (2006) that we left out of our sample either did not visually resemble bent doubles or were not associated with the SDSS source. While it can be difficult to determine the precise morphology for many of our bent sources, due to resolution limitations, we can say that at least 75% of the bent double sources in our sample are WATs, which is slightly higher than the percentages found by Bhukta et al (2021; 71% WATs) and Pal & Kumari (2021; 65% WATs) and significantly higher than that of Mingo et al (2019;42% WATs).…”
Section: Bent and Unbent Double Selectionmentioning
confidence: 54%
“…The 101 radio galaxies identified by Proctor (2006) that we left out of our sample either did not visually resemble bent doubles or were not associated with the SDSS source. While it can be difficult to determine the precise morphology for many of our bent sources, due to resolution limitations, we can say that at least 75% of the bent double sources in our sample are WATs, which is slightly higher than the percentages found by Bhukta et al (2021; 71% WATs) and Pal & Kumari (2021; 65% WATs) and significantly higher than that of Mingo et al (2019;42% WATs).…”
Section: Bent and Unbent Double Selectionmentioning
confidence: 54%
“…The 101 radio galaxies identified by Proctor (2006) that we left out of our sample either did not visually resemble bent doubles or were not associated with the SDSS source. While it can be difficult to determine the precise morphology for many of our bent sources due to resolution limitations, we can say that at least 75% of the bent double sources in our sample are WATs, which is slightly higher than Bhukta et al (2021) (71% WATs) and Pal & Kumari (2021) (65% WATs) and significantly higher than Mingo et al (2019) (42% WATs).…”
Section: Bent and Unbent Double Selectionmentioning
confidence: 49%