[HTML][HTML] The VIMOS Public Extragalactic Redshift Survey (VIPERS)-PCA-based automatic cleaning and reconstruction of survey spectra
A Marchetti, B Garilli, BR Granett, L Guzzo…�- Astronomy &�…, 2017 - aanda.org
Astronomy & Astrophysics, 2017•aanda.org
Context. Identifying spurious reduction artefacts in galaxy spectra is a challenge for large
surveys. Aims. We present an algorithm for identifying and repairing spurious residual
features in sky-subtracted galaxy spectra by using data from the VIMOS Public Extragalactic
Redshift Survey (VIPERS) as a test case. Methods. The algorithm uses principal component
analysis (PCA) applied to the galaxy spectra in the observed frame to identify sky line
residuals imprinted at characteristic wavelengths. We further model the galaxy spectra in the�…
surveys. Aims. We present an algorithm for identifying and repairing spurious residual
features in sky-subtracted galaxy spectra by using data from the VIMOS Public Extragalactic
Redshift Survey (VIPERS) as a test case. Methods. The algorithm uses principal component
analysis (PCA) applied to the galaxy spectra in the observed frame to identify sky line
residuals imprinted at characteristic wavelengths. We further model the galaxy spectra in the�…
Context
Identifying spurious reduction artefacts in galaxy spectra is a challenge for large surveys.
Aims
We present an algorithm for identifying and repairing spurious residual features in sky-subtracted galaxy spectra by using data from the VIMOS Public Extragalactic Redshift Survey (VIPERS) as a test case.
Methods
The algorithm uses principal component analysis (PCA) applied to the galaxy spectra in the observed frame to identify sky line residuals imprinted at characteristic wavelengths. We further model the galaxy spectra in the rest-frame using PCA to estimate the most probable continuum in the corrupted spectral regions, which are then repaired.
Results
We apply the method to ~90 000 spectra from the VIPERS survey and compare the results with a subset for which careful editing was performed by hand. We find that the automatic technique reproduces the time-consuming manual cleaning in a uniform and objective manner across a large data sample. The mask data products produced in this work are released together with the VIPERS second public data release (PDR-2).
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