Child pages
  • Gravitational wave detection via deep learning

Versions Compared

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.

Projects

1. Gravitational

Gravitational wave detection via deep learning

  • Start date: 03/2017
  • End date: TBD
  • People
    • PI: Eliu Antonio Huerta Escudero <elihu@illinois.edu>
    • Users: Daniel George: dgeorge5, Miguel Holgado: holgado2, Eliu Huerta: elihu, Daniel Johnson: dsjohns2, Michael Usachenko: usachenk, Hsi-Yu Schive: hyschive
    Objective: Develop deep learning based methodology for gravitational wave detection in support of LAGO project.
  • Dates
    • Start date: 03/2017
    • End date: TBD
  • Platform(s)
    • Hybrid (This is a dedicated platform for this specific project because developers need interactive GUI-based access to the system.
    Current status
    • )
  • Description
    • Objective
      • Develop deep learning based methodology for gravitational wave detection in support of LIGO project.
    • Abstract
      • TBD
  • Status
    • 03/01/17
    :
      • 4x P100 donated by NVIDIA were installed
    • 03/17
    :
      • access granted.
  • Open issues
    • need to mount RAID0 arrays and setup user space on them

Title

  • People
    • PI: Name
    • Users: netid
  • Dates
    • Start date: TBD
    • End date: TBD
  • Platform(s)
    • tbd
  • Description
    • Objective
      • TBD
    • Abstract
      • TBD
  • Status
    • date
      • text.
  • Open issues
    • text??

Main -> Projects

Contact us

Request access to ISL resources: Application

Contact ISL staff: Email Address

Visit: NCSA, room 30305E