alexander dietz louisiana state university for the ligo scientific collaboration
Download
Skip this Video
Download Presentation
Searching the LIGO data for coincidences with Gamma Ray Bursts

Loading in 2 Seconds...

play fullscreen
1 / 8

Searching the LIGO data for coincidences with Gamma Ray Bursts - PowerPoint PPT Presentation


  • 108 Views
  • Uploaded on

Alexander Dietz Louisiana State University for the LIGO Scientific Collaboration. Searching the LIGO data for coincidences with Gamma Ray Bursts. LIGO-G060179-00-Z. Gamma Ray Bursts. Properties of the bursts Known to be cosmological in origin Last from few milliseconds to several minutes

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'Searching the LIGO data for coincidences with Gamma Ray Bursts' - ernst


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
alexander dietz louisiana state university for the ligo scientific collaboration
Alexander Dietz

Louisiana State University

for the LIGO Scientific Collaboration

Searching the LIGO data for coincidences with Gamma Ray Bursts

LIGO-G060179-00-Z

gamma ray bursts
APS 2006 LIGO-G060179-00-ZGamma Ray Bursts
  • Properties of the bursts
    • Known to be cosmological in origin
    • Last from few milliseconds to several minutes
  • Long GRBs
    • Last more than 2 seconds
    • Associated with stellar collapse
  • Short GRBs
    • Last less than 2 seconds
    • Evidence for compact binary progenitors
learning about grb progenitors with ligo
APS 2006 LIGO-G060179-00-ZLearning about GRB progenitors with LIGO
  • LIGO provides a way to look for GRB progenitors
    • Coincident detection of a GRB and a gravitational-wave signal

Would confirm compact binary as progenitor

Gravitational-wave observation can at least bound the distance to the GRB

  • If a close GRB is confirmed without LIGO detection

Rule out compact binary as progenitor

how is the search done
Off-source

On-source

Off-source

How is the search done?
  • GRB trigger gives estimate of binary merger time.
  • Assume GW signal is in 180s segment around GRB trigger
  • Compare triggers from on-source to off-source

APS 2006 LIGO-G060179-00-Z

inspiral search pipeline
APS 2006 LIGO-G060179-00-Z

The GRB triggered search can probe deeper into the noise than the blind search!

Inspiral search pipeline
  • Other inspiral searches are blind
    • Location and time of binary inspiral & merger are unknown
  • GRB triggered search:
    • Sky location gives time-delay between sites
    • Relative amplitude known in each instrument
    • Quite rare events (one short GRB per month)
inspiral search pipeline1
APS 2006 LIGO-G060179-00-ZInspiral search pipeline
  • Same pipeline as blind inspiral searches
    • (see prev. talk by Duncan Brown)
    • Searching component masses between1 and 30 Mסּ
  • Some parameters chosen differently
    • Only analyze data around GRB trigger
    • Use lower SNR threshold in filtering step
  • Advantage
    • Decrease SNR threshold to 4 would increase range of search by factor of 2
what can we expect
APS 2006 LIGO-G060179-00-ZWhat can we expect?
  • Even in the case of no-detection:
    • Derive exclusion area for masses
summary outlook
APS 2006 LIGO-G060179-00-ZSummary & Outlook
  • GRB triggered search: Location and time known
  • Much deeper search possible
  • Uses same pipeline as other inspiral searches
  • Injections and Timeslides are almost done
  • Much higher detection range possible (redshift 0.02)
  • To be done:
  • Refine pipeline parameters (coincidence window)
  • Simulate a real GRB
  • Compare foreground with background
ad