The Carnegie-Spitzer-IMACS Redshift Survey of Galaxy Evolution since z=1.5: I. Description and Methodology
Daniel D. Kelson (1), Rik J. Williams (1), Alan Dressler (1), Patrick, J. McCarthy (1), Stephen A. Shectman (1), John S. Mulchaey (1), Edward V., Villanueva (1), Jeffrey D. Crane (1), Ryan F. Quadri (1) ((1) The, Observatories of the Carnegie Institution for Science)

TL;DR
The Carnegie-Spitzer-IMACS (CSI) Survey provides a large, high-quality spectrophotometric redshift dataset of galaxies up to z~1.5, using innovative low-dispersion spectroscopy and panchromatic photometry to improve accuracy and reduce biases.
Contribution
This paper introduces a novel methodology combining low-dispersion spectra and broad photometry to derive accurate redshifts and galaxy properties, enabling unbiased studies of galaxy evolution.
Findings
37,000 high-quality redshifts obtained in 5.3 sq.degs.
Redshift uncertainties are typically less than 0.015 in (1+z).
Method yields comparable accuracy for red and blue galaxies, reducing color-based biases.
Abstract
We describe the Carnegie-Spitzer-IMACS (CSI) Survey, a wide-field, near-IR selected spectrophotometric redshift survey with the Inamori Magellan Areal Camera and Spectrograph (IMACS) on Magellan-Baade. By defining a flux-limited sample of galaxies in Spitzer 3.6micron imaging of SWIRE fields, the CSI Survey efficiently traces the stellar mass of average galaxies to z~1.5. This first paper provides an overview of the survey selection, observations, processing of the photometry and spectrophotometry. We also describe the processing of the data: new methods of fitting synthetic templates of spectral energy distributions are used to derive redshifts, stellar masses, emission line luminosities, and coarse information on recent star-formation. Our unique methodology for analyzing low-dispersion spectra taken with multilayer prisms in IMACS, combined with panchromatic photometry from the…
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Taxonomy
TopicsAstronomy and Astrophysical Research · Stellar, planetary, and galactic studies · Adaptive optics and wavefront sensing
