VLT/SINFONI study of black hole growth in high-redshift radio-loud quasars from the CARLA survey

Monthly Notices of the Royal Astronomical Society Oxford University Press (OUP) 492:2 (2020) 1991-2016

Authors:

M Marinello, RA Overzier, HJA Röttgering, JD Kurk, C De Breuck, J Vernet, D Wylezalek, D Stern, KJ Duncan, N Hatch, N Kashikawa, Y-T Lin, RS Nemmen, A Saxena

Reionization history constraints from neural network based predictions of high-redshift quasar continua

Monthly Notices of the Royal Astronomical Society Oxford University Press 493:3 (2020) 4256-4275

Authors:

D Ďurovčíková, H Katz, SEI Bosman, FB Davies, J Devriendt, A Slyz

Abstract:

Observations of the early Universe suggest that reionization was complete by z ∼ 6, however, the exact history of this process is still unknown. One method for measuring the evolution of the neutral fraction throughout this epoch is via observing the Lyα damping wings of high-redshift quasars. In order to constrain the neutral fraction from quasar observations, one needs an accurate model of the quasar spectrum around Lyα, after the spectrum has been processed by its host galaxy but before it is altered by absorption and damping in the intervening IGM. In this paper, we present a novel machine learning approach, using artificial neural networks, to reconstruct quasar continua around Lyα. Our QSANNDRA algorithm improves the error in this reconstruction compared to the state-of-the-art PCA-based model in the literature by 14.2% on average, and provides an improvement of 6.1% on average when compared to an extension thereof. In comparison with the extended PCA model, QSANNDRA further achieves an improvement of 22.1% and 16.8% when evaluated on low-redshift quasars most similar to the two high-redshift quasars under consideration, ULAS J1120+0641 at z = 7.0851 and ULAS J1342+0928 at z = 7.5413, respectively. Using our more accurate reconstructions of these two z > 7 quasars, we estimate the neutral fraction of the IGM using a homogeneous reionization model and find x¯H1=0.25+0.05−0.05 at z = 7.0851 and x¯H1=0.60+0.11−0.11 at z = 7.5413. Our results are consistent with the literature and favour a rapid end to reionization.

SDSS-IV MaNGA: The kinematic-morphology of galaxies on the mass vs star-formation relation in different environments

(2020)

Authors:

Bitao Wang, Michele Cappellari, Yingjie Peng, Mark Graham

GW170817A as a Hierarchical Black Hole Merger

ASTROPHYSICAL JOURNAL LETTERS American Astronomical Society 890:2 (2020) ARTN L20

Authors:

V Gayathri, I Bartos, Z Haiman, S Klimenko, B Kocsis, S Marka, Y Yang

Abstract:

Despite the rapidly growing number of stellar-mass binary black hole mergers discovered through gravitational waves, the origin of these binaries is still not known. In galactic centers, black holes can be brought to each others' proximity by dynamical processes, resulting in mergers. It is also possible that black holes formed in previous mergers encounter new black holes, resulting in so-called hierarchical mergers. Hierarchical events carry signatures such as higher-than usual black hole mass and spin. Here we show that the recently reported gravitational-wave candidate, GW170817A, could be the result of such a hierarchical merger. In particular, its chirp mass $\sim40$ M$_\odot$ and effective spin of $\chi_{\rm eff}\sim0.5$ are the typically expected values from hierarchical mergers within the disks of active galactic nuclei. We find that the reconstructed parameters of GW170817A strongly favor a hierarchical merger origin over having been produced by an isolated binary origin (with an Odds ratio of $>10^3$, after accounting for differences between the expected rates of hierarchical versus isolated mergers)

ALMA Imaging of the CO(7-6) Line Emission in the Submillimeter Galaxy LESS 073 at redshift 4.755$^\star$

(2020)

Authors:

Yinghe Zhao, Nanyao Lu, Tanio Díaz-Santos, Yu Gao, C Kevin Xu, Vassilis Charmandaris, Hanae Inami, Dimitra Rigopoulou, David B Sanders, Jiasheng Huang, Zhong Wang