Quasar Redshift Determination with a Data-driven Model

Astronomy and Astrophysics – Astronomy

Scientific paper

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Scientific paper

We present a method for determining redshifts of quasars by fitting them with a data-driven model. This model is similar to Principle Component Analysis (PCA), as it uses as much of the information present in the data sample to create a set of basis functions used to iteratively fit the complete set of spectra. We choose to start with the data from the Sloan Digital Sky Survey (SDSS), and thus provide a model of the space of possible quasar spectra in the survey. We show that these redshift determinations are an improvement over those determined by cross-correlation with a fixed quasar template, and that they perform well even when the narrow [O III] lines are outside the spectroscopic window.

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