Publication
Quasar: Resource-Efficient and QoS-Aware Cluster Management
Related publications (35)
A new step forward in realistic cluster lens mass modelling: analysis of Hubble Frontier Field Cluster Abell S1063 from joint lensing, X-ray, and galaxy kinematics data
Jean-Paul Richard Kneib, Benjamin Yvan Alexandre Clement, Benjamin Emmanuel Nicolas Beauchesne, Mathilde Jauzac, Johan Richard
We present a new method to simultaneously and self-consistently model the mass distribution of galaxy clusters that combines constraints from strong lensing features, X-ray emission, and galaxy kinematics measurements. We are able to successfully decompose ...
Oxford2023CODEX weak lensing mass catalogue and implications on the mass-richness relation
Jean-Paul Richard Kneib, Huanyuan Shan
The COnstrain Dark Energy with X-ray clusters (CODEX) sample contains the largest flux limited sample of X-ray clusters at 0.35 < z < 0.65. It was selected from ROSAT data in the 10 000 square degrees of overlap with BOSS, mapping a total number of 2770 hi ...
OXFORD UNIV PRESS2021The GOGREEN survey: dependence of galaxy properties on halo mass a z > 1 and implications for environmental quenching
Pascale Jablonka, Hung-Hsu Chan
We use photometric redshifts and statistical background subtraction to measure stellar mass functions in galaxy group-mass (4.5-8 x 10(13) M-circle dot) haloes at 1 < z < 1.5. Groups are selected from COSMOS and SXDF, based on X-ray imaging and sparse spec ...
OXFORD UNIV PRESS2021The accreted nuclear clusters of the Milky Way
A number of the massive clusters in the halo, bulge, and disc of the Galaxy are not genuine globular clusters (GCs) but instead are different beasts altogether. They are the remnant nuclear star clusters (NSCs) of ancient galaxies since accreted by the Mil ...
OXFORD UNIV PRESS2021CODEX clusters: Survey, catalog, and cosmology of the X-ray luminosity function
Jean-Paul Richard Kneib, Johan Comparat, Ghazaleh Erfanianfar
Context. Large area catalogs of galaxy clusters constructed from ROSAT All-Sky Survey provide the basis for our knowledge of the population of clusters thanks to long-term multiwavelength efforts to follow up observations of these clusters.Aims. The advent ...
EDP SCIENCES S A2020The BUFFALO HST Survey
Jean-Paul Richard Kneib, Pascale Jablonka, David Richard Harvey, Benjamin Yvan Alexandre Clement, Mathilde Jauzac, Huanyuan Shan, Hakim Atek, Anja Von der Linden, Matthieu Schaller, Céline Tchernin, Richard Massey, Johan Richard
The Beyond Ultra-deep Frontier Fields and Legacy Observations (BUFFALO) is a 101 orbit + 101 parallel Cycle 25 Hubble Space Telescope (HST) Treasury program taking data from 2018 to 2020. BUFFALO will expand existing coverage of the Hubble Frontier Fields ...
IOP PUBLISHING LTD2020Searching for multiple populations in the integrated light of the young and extremely massive clusters in the merger remnant NGC 7252
Recent work has shown that the properties of multiple populations (MPs) within massive stellar clusters (i.e. in the extent of their abundance variations as well as the fraction of stars that show the anomalous chemistry) depend on the mass as well as the ...
OXFORD UNIV PRESS2020Tidal Interactions and Mergers in Intermediate-redshift EDisCS Clusters
We study the fraction of tidal interactions and mergers (TIMs) with well-identified observability timescales (f(TIM)) in group, cluster, and accompanying field galaxies and its dependence on redshift (z), cluster velocity dispersion (sigma), and environmen ...
IOP PUBLISHING LTD2018Increasing Availability in Distributed Storage Systems via Clustering
Michael Christoph Gastpar, Saeid Sahraei
We introduce the Fixed Cluster Repair System (FCRS) as a novel architecture for Distributed Storage Systems (DSS) that achieves a small repair bandwidth while guaranteeing a high availability. Specifically, we partition the set of servers in a DSS into s c ...
2018Diffusion gradient boosting for networked learning
Using duality arguments from optimization theory, this work develops an effective distributed gradient boosting strategy for inference and classification by networked clusters of learners. By sharing local dual variables with their immediate neighbors thro ...
2017