101. Stellar mass as a galaxy cluster mass proxy: application to the Dark Energy Survey redMaPPer clusters
- Author
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Palmese, A., Annis, J., Burgad, J., Farahi, A., Soares-Santos, M., Welch, B., Pereira, M. da Silva, Lin, H., Bhargava, S., Hollowood, D. L., Wilkinson, R., Giles, P., Jeltema, T., Romer, A. K., Evrard, A. E., Hilton, M., Cervantes, C. Vergara, Bermeo, A., Mayers, J., DeRose, J., Gruen, D., Hartley, W. G., Lahav, O., Leistedt, B., McClintock, T., Rozo, E., Rykoff, E. S., Varga, T. N., Wechsler, R. H., Zhang, Y., Avila, S., Brooks, D., Buckley-Geer, E., Burke, D. L., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Castander, F. J., Collins, C., da Costa, L. N., Desai, S., De Vicente, J., Diehl, H. T., Dietrich, J. P., Doel, P., Flaugher, B., Fosalba, P., Frieman, J., Garcia-Bellido, J., Gerdes, D. W., Gruendl, R. A., Gschwend, J., Gutierrez, G., Honscheid, K., James, D. J., Krause, E., Kuehn, K., Kuropatkin, N., Liddle, A., Lima, M., Maia, M. A. G., Mann, R. G., Marshall, J. L., Menanteau, F., Miquel, R., Ogando, R. L. C., Plazas, A. A., Roodman, A., Rooney, P., Sahlen, M., Sanchez, E., Scarpine, V., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Sobreira, F., Stott, J., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., Tucker, D. L., Viana, P. T. P., Vikram, V., and Walker, A. R.
- Subjects
Astrophysics - Cosmology and Nongalactic Astrophysics - Abstract
We introduce a galaxy cluster mass observable, $\mu_\star$, based on the stellar masses of cluster members, and we present results for the Dark Energy Survey (DES) Year 1 observations. Stellar masses are computed using a Bayesian Model Averaging method, and are validated for DES data using simulations and COSMOS data. We show that $\mu_\star$ works as a promising mass proxy by comparing our predictions to X-ray measurements. We measure the X-ray temperature-$\mu_\star$ relation for a total of 150 clusters matched between the wide-field DES Year 1 redMaPPer catalogue, and Chandra and XMM archival observations, spanning the redshift range $0.1
- Published
- 2019
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