activity
19972025
most citedA Roadmap for HEP Software and Computing R&D for the 2020s

240 citations · 706 across the 14 of their papers we have counts for

collaborators

14 papers

hep-ex2025

Data Preservation in High Energy Physics

Alexandre Arbey, Jamie Boyd, Daniel Britzger +45

Data preservation significantly increases the scientific output of high-energy physics experiments during and after data acquisition. For new and ongoing experiments, the careful c…

hep-ex2023★ 3 cited

Data Preservation in High Energy Physics

T. Basaglia, M. Bellis, J. Blomer +51

Data preservation is a mandatory specification for any present and future experimental facility and it is a cost-effective way of doing fundamental research by exploiting unique da…

physics.comp-ph2018★ 4 cited

HEP Software Foundation Community White Paper Working Group -- Data Organization, Management and Access (DOMA)

Dario Berzano, Riccardo Maria Bianchi, Ian Bird +35

Without significant changes to data organization, management, and access (DOMA), HEP experiments will find scientific output limited by how fast data can be accessed and digested b…

physics.comp-ph2017★ 240 cited

A Roadmap for HEP Software and Computing R&D for the 2020s

Johannes Albrecht, Antonio Augusto Alves, Guilherme Amadio +307

Particle physics has an ambitious and broad experimental programme for the coming decades. This programme requires large investments in detector hardware, either to build new facil…

astro-ph1999

Density and Velocity Fields from the PSCz Survey

Will Saunders, Enzo Branchini, Luis Teodoro +17

We present the results for the predicted density and peculiar velocity fields and the dipole from the PSCz survey of 15,000 IRAS galaxies over 84% of the sky. We find a significant…

astro-ph1999

PSCz-1.2 Jy Comparison: A Spherical Harmonics Approach

Luis Teodoro, Enzo Branchini, Carlos Frenk +8

We perform a detailed comparison of the IRAS PSCz and 1.2-Jy spherical harmonic coefficients of the density and velocity fields in redshift space. The monopole terms predicted from…