Probing the Small Scale Structure of the Inter-Galactic Medium with ESPRESSO: Spectroscopy of the Lensed QSO UM673

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY(2024)

引用 0|浏览51
暂无评分
摘要
The gravitationally lensed quasar J014516.6-094517 at z = 2.719 has been observed with the ESPRESSO instrument at the ESO VLT to obtain high-fidelity spectra of the two images A and B with a resolving power R = 70 000. At the redshifts under investigation (2.1 less than or similar to z less than or similar to 2.7), the Lyman forests along the two sightlines are separated by sub-kiloparsec physical distances and exhibit a strong correlation. We find that the two forests are indistinguishable at the present level of signal-to-noise ratio and do not show any global velocity shift, with the cross-correlation peaking at Delta v = 12 +/- 48 m s(-1). The distribution of the difference in velocity of individual Ly alpha features is compatible with a null average and a mean absolute deviation of 930 m s(-1). Significant differences in N-H I column density are not detected, putting a limit to the RMS fluctuation in the baryon density on less than or similar to 1 proper kpc scales of Delta rho/rho less than or similar to 3 per cent. On the other hand, metal lines show significant differences both in velocity structure and in column density. A toy model shows that the difference in velocity of the metal features between the two sightlines is compatible with the motions of the baryonic component associated with dark matter haloes of typical mass M similar or equal to 2 x 10(10) M-circle dot, also compatible with the observed incidence of the metal systems. The present observations confirm the feasibility of the Sandage test of the cosmic redshift drift with high-fidelity spectroscopy of the Lyman forest of distant, bright quasars, but also provide an element of caution about the intrinsic noise associated with the usage of metal features for the same purpose.
更多
查看译文
关键词
Multi-Object Spectroscopy
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