# A new sample of X-ray selected Swift/SDSS faint blazars and blazar   candidates

**Authors:** Sara Turriziani, Bernardo Fraga, Paolo Giommi

arXiv: 1908.05215 · 2019-09-04

## TL;DR

This paper introduces a new, deeper X-ray selected sample of 62 faint blazars and candidates, enabling improved understanding of their properties and evolution by probing populations ten times fainter than previous studies.

## Contribution

It presents a novel, statistically well-defined sample of faint blazars, extending the flux limits and allowing for detailed comparison with models and simulations.

## Key findings

- Sample reaches X-ray fluxes ten times fainter than previous studies.
- LogN-LogS distributions are consistent with prior estimates.
- Sample may include some non-blazar sources, but overall agrees with existing models.

## Abstract

Our present knowledge of the properties of blazars mostly comes from small samples of bright objects, especially regarding studies on their cosmological evolution. Statistically well defined and completely identified samples of faint blazars are very difficult to obtain. We present a new X-ray selected sample of 62 blazars and blazar candidates reaching deep X-ray fluxes. We relied on the availability of large catalogs of astronomical objects combined with on-line services offering simple access to finding charts and magnitude estimates. We built the sample cross-matching X-ray sources in the Swift Serendipitous Survey in deep XRT GRB Fields catalog with data from deep radio and optical surveys. Our sample can probe populations of sources 10 times weaker in the X-ray flux with respect previous studies, thus allowing for a more detailed comparison between data and simulated counts. We use the sample to calculate the radio and X-ray LogN-LogS of blazars down to fluxes at least one order of magnitude fainter than previous studies. We show that, considering that our sample may be somewhat contaminated by sources other than blazars, we are in agreement with previous observational and theoretical estimations.

## Full text

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## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/1908.05215/full.md

## References

59 references — full list in the complete paper: https://tomesphere.com/paper/1908.05215/full.md

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Source: https://tomesphere.com/paper/1908.05215