Improving blazar redshift constraints with the edge of the Ly α forest: 1ES 1553+113 and implications for observations of the WHIM

Monthly Notices of the Royal Astronomical Society(2021)

引用 3|浏览24
暂无评分
摘要
Blazars are some of the brightest ultraviolet (UV) and X-ray sources in the sky and are valuable probes of the elusive warm-hot intergalactic medium (WHIM; T ≃ 10 5 –10 7 K). However, many of the brightest blazars – called BL Lac objects such as 1ES 1553+113 – have quasi-featureless spectra and poorly constrained redshifts. Here, we significantly improve the precision of indirect redshift constraints for blazars based on the edge of the H I Ly α forest observed in their UV spectra. We develop a robust technique to constrain the redshift of a z < 0.5 active galactic nucleus (AGN) or blazar with a 1σ uncertainty of ≈0.01 using only the position of its highest redshift Ly α absorber with $\log N_{\rm {H\, \small {I}}}/{\rm cm^{-2}} \gt 12.6$ . We use a large sample of 192 AGNs/quasi-stellar objects at 0.01 ≲ z ≲ 0.45 that have high-quality Cosmic Origins Spectrograph (COS) far-UV spectra to characterize the intrinsic scatter in the gap between the AGN redshift and the edge of their Ly α forest. We present new COS near-UV data for 1ES 1553+113 and confirm its redshift of z = 0.433 using our technique. We apply our Ly α-forest-based redshift estimation technique to nine additional blazars with archival Hubble Space Telescope UV spectra, most of which are key targets for future X-ray missions. Our inferred redshift constraints improve estimates for two BL Lacs (1ES 1118+424 and S5 0716+714) and are consistent with previous estimates for the rest. Our results emphasize the need to obtain further UV spectra of bright blazars, of which many have uncertain redshifts, in order to maximize the scientific value of future X-ray WHIM observations that will improve our understanding of galaxy evolution.
更多
查看译文
关键词
BL Lacertae objects: general,BL Lacertae objects: individual: 1ES 1553+113,intergalactic medium,quasars: absorption lines
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要