313 citations · 1.8k across the 50 of their papers we have counts for
50 papers
ZEUS: An Efficient GPU Optimization Method Integrating PSO, BFGS, and Automatic Differentiation
Dominik Soos, Marc Paterno, Desh Ranjan +1
We introduce a novel, efficient computational method, ZEUS, for numerical optimization, and provide an open-source implementation. It has four key ingredients: (1) particle swarm o…
Building an Efficient Cluster Cosmology Software Package for Modeling Cluster Counts and Lensing
M. Aguena, O. Alves, J. Annis +60
We introduce a software suite developed for galaxy cluster cosmological analysis with the Dark Energy Survey Data. Cosmological analyses based on galaxy cluster number counts and w…
DES Y3 + KiDS-1000: Consistent cosmology combining cosmic shear surveys
Dark Energy Survey, Kilo-Degree Survey Collaboration, : +160
We present a joint cosmic shear analysis of the Dark Energy Survey (DES Y3) and the Kilo-Degree Survey (KiDS-1000) in a collaborative effort between the two survey teams. We find c…
Porting numerical integration codes from CUDA to oneAPI: a case study
Ioannis Sakiotis, Kamesh Arumugam, Marc Paterno +3
We present our experience in porting optimized CUDA implementations to oneAPI. We focus on the use case of numerical integration, particularly the CUDA implementations of PAGANI an…
Non-local contribution from small scales in galaxy-galaxy lensing: Comparison of mitigation schemes
J. Prat, G. Zacharegkas, Y. Park +112
Recent cosmological analyses with large-scale structure and weak lensing measurements, usually referred to as 32pt, had to discard a lot of signal-to-noise from small scale…
Dark Energy Survey Year 3 Results: Redshift Calibration of the MagLim Lens Sample from the combination of SOMPZ and clustering and its impact on Cosmology
G. Giannini, A. Alarcon, M. Gatti +111
We present an alternative calibration of the MagLim lens sample redshift distributions from the Dark Energy Survey (DES) first three years of data (Y3). The new calibration is base…