Using principal component analysis to understand the variability of PDS 456
M. L. Parker, J. N. Reeves, G. A. Matzeu, D. J. K. Buisson, and A. C., Fabian

TL;DR
This study uses principal component analysis to analyze spectral variability in quasar PDS 456, revealing how absorption features respond to continuum changes and differing behaviors across datasets, providing insights into outflow dynamics.
Contribution
The paper demonstrates the application of PCA to distinguish variability sources in PDS 456 and compares its spectral features with those of IRAS 13224-3809, highlighting differences in ionization and outflow characteristics.
Findings
Absorption line variability is more pronounced than the continuum in XMM-Newton data.
Different variability behaviors are observed in Suzaku data, dominated by neutral absorption changes.
Simulations show PCA can distinguish between correlated and uncorrelated outflow variability.
Abstract
We present a spectral-variability analysis of the low-redshift quasar PDS 456 using principal component analysis. In the XMM-Newton data, we find a strong peak in the first principal component at the energy of the Fe absorption line from the highly blueshifted outflow. This indicates that the absorption feature is more variable than the continuum, and that it is responding to the continuum. We find qualitatively different behaviour in the Suzaku data, which is dominated by changes in the column density of neutral absorption. In this case, we find no evidence of the absorption produced by the highly ionized gas being correlated with this variability. Additionally, we perform simulations of the source variability, and demonstrate that PCA can trivially distinguish between outflow variability correlated, anti-correlated, and un-correlated with the continuum flux. Here, the observed…
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