6 papers
Extraction method for response functions from X-ray light curves of AGN by optimization algorithm
Sanhanat Deesamutara, Tirawut Worrakitpoonpon, Poemwai Chainakun +4
We introduce a numerical optimization method to extract the X-ray reverberation response functions from the multi-band light curves of the active galactic nuclei. This approach doe…
A clean broad iron line in GS 1354--64 as seen by XRISM
Honghui Liu, Lingda Kong, Oluwashina K. Adegoke +13
We present a spectroscopic analysis of XRISM and NuSTAR observations of the black hole X-ray binary GS~1354--64 during its 2026 outburst. A total number of 3.5 million photons are…
Evidence of mutually exclusive outflow forms from a black hole X-ray binary
Zuobin Zhang, Jiachen Jiang, Francesco Carotenuto +13
Accretion onto black holes often leads to the launch of outflows that significantly influence their surrounding environments. The two primary forms of these outflows are X-ray disk…
Decoding Cygnus X-2: The Critical Role of Reflection in IXPE Data
Honghui Liu, Jiachen Jiang, Adam Ingram +10
We present a spectro-polarimetric re-analysis of the first IXPE observation of Cygnus X-2 which we determine to be mainly in the normal branch, from quasi-simultaneous observations…
Hybrid corona and transient soft X-ray lags in Fairall 9
K. Khanthasombat, P. Chainakun, W. Luangtip +2
Fairall 9 is among the most massive Seyfert galaxies exhibiting a strong soft X-ray excess, but it is challenging to probe soft X-ray reverberation lags (if any) due to the long in…
Extracting the X-ray reverberation response functions from the AGN light curves using an autoencoder
Sanhanat Deesamutara, Poemwai Chainakun, Tirawut Worrakitpoonpon +5
We study the X-ray reverberation in active galactic nuclei (AGN) using the variational autoencoder (VAE), which is a machine-learning algorithm widely used for signal processing an…