English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

An atlas of deep, wide-field R-band CCD images of a complete sample ofdistant, X-ray-selected clusters of galaxies is presented. These clusters arethe 41 most distant (z>= 0.15) and most X-ray luminous (Lx >= 2x10**44 erg\s-1)clusters in the Einstein Observatory Extended Medium Sensitivity Survey (EMSS)catalog that are observable from Mauna Kea (delta > -40 deg). The sample spansa redshift range of 0.15 <= z < 0.81 and includes at least 2 and possibly asmany as 6 rich clusters with z>0.5. For the most part, the data are of superiorquality, with a median seeing of 0''.8 FWHM and coverage of at least 1 Mpc X 1Mpc in the cluster frame (Ho=50; q0=1/2). In addition, we update the availableoptical, X-ray and radio data on the entire EMSS sample of 104 clusters. Weoutline the cluster selection criteria in detail, and emphasize thatX-ray-selected cluster samples may prove to be more useful for cosmologicalstudies than optically selected samples. The EMSS cluster sample in particularcan be exploited for diverse cosmological investigations, as demonstrated bythe detection of evolution in the X-ray luminosity function previouslyreported, and more recently by the discovery of a large number ofgravitationally lensed images in these clusters.Comment: 20 pages, LaTeX Version 2.09, IfA-94/

The EMSS catalog of X-ray-selected clusters of galaxies. 1: an atlas of CCD images of 41 distant clusters