Cluster Catalog Validation with Multiwavelength Data

ORAL

Abstract

The Legacy Survey of Space and Time (LSST) will provide a ground-breaking data set for cosmology, but to achieve the precision needed, the data, data reduction, and algorithms measuring the cosmological data vectors must be thoroughly validated and calibrated. In this talk, we focus on clusters of galaxies and present a set of validation tests for optical cluster finding algorithms through comparison to X-ray and Sunyaev-Zel'dovich effect cluster catalogs. As an example, we apply our pipeline to compare the performance of the redMaPPer (red-sequence Matched filter Probabilistic Percolation) and WaZP (Wavelet Z Photometric) cluster finding algorithms on Dark Energy Survey (DES) data.

*This work has been supported by the Undergraduate Research in Science and Technology Award (URST) from the UC Santa Cruz Science Division.

Publication: E.K. Steelberg, T.E. Jeltema, J.H. O'Donnell, R. Solomon. "Cluster Catalog Validation with Multi-
wavelength Data", Research Notes of the American Astronomical Society (currently in LSST-DESC collaboration wide review)

Presenters

  • Ethan K Steelberg

    • University of California, Santa Cruz

Authors

  • Ethan K Steelberg

    • University of California, Santa Cruz
  • Tesla Erin Jeltema

    • University of California, Santa Cruz
  • Jackson H O'Donnell

    • University of California, Santa Cruz
  • Rance Solomon

    • LAPP