1. S3 Spinning Binary Black Hole Search: Status Report
Gareth Jones
Inspiral Group

2. Status Report Overview Dataset Phenomenological templates
Probing the coverage of the template bank
Injections and efficiency
Tuning search parameters
Vetoes
Preliminary Open Box results
Timeline for completion

3. Overview
Searching S3 data of all LIGO ifos for spinning BBH/NS-BH binaries
Data-set searched
H1H2: 604hrs (17hrs)
H1H2L1: 184hrs (56hrs)
Filter with phenomenological templates (Buonanno, Chen and Vallisneri 2003)
3 dimensional template bank (masses and spin parameter)

4. Mass range of the template bank
Test coverage of template bank using physically motivated simulated signals and LIGO design PSD
Expected coverage ~ [1-3]x[6-15]Msol
Systematic injection of simulated signals from spinning binaries (ACST, Kidder)
Precession when L and S are misaligned
Both bodies non-spinning:
no precession
Single body spinning:
precession occurs

5. Mass range of the template bank
Both bodies spinning:
precession occurs
Investigate some generic precessing signals
As expected we recover injections best in non-equal mass regime
Good coverage (Match>0.9) for [1- 3]x[12-20]Msol

6. Injections and efficiency
Test efficiency of filter code using software injections of simulated signals throughout S3 data
10000 inj in H1,H2, inj in L1
[1-20]x[1-20]Msol
50% efficiency
H1: 11.9Mpc
H2: 3Mpc
L1: 3.6 Mpc
Efficiency = #found #found + #missed

7. Tuning search parameters
We require coincident detection between 2 or more ifos
Define coincident windows ∆t, ∆mass params (actually use non-physical params )
Tune these windows using software injections of simulated signals #
∆t = tH1- tH2
Difference in measured arrival time between H1 and H2
Estimated background
Found injections

8. Vetoes
Veto study carried out on H1:LSC- MICH_CTRL and L1:LSC-REFL_Q: unacceptably large deadtime
H1H2 consistency check
Noisy L1 detector: follow up study yielded no vetoes

9. Preliminary Open Box results
Foreground consistent with background
Number of triggers in zero lag consistent with number of triggers in individual time slides
Loudest background triggers louder than loudest foreground
...but do see excess of events in H1H2 dataset in zero lag cf background rate. Similar to BBH search

10. Timeline for completion
June 20th: Final open box plots and paper writing
Mid-July: Begin code review
Follow up of loudest zero lag triggers, may assist future veto studies (cf S3 BBH search)
Upper limit calculation
Continue efficiency studies wrt spin parameters kappa, gamma
August LSC meeting: first draft of paper
Development is continuing of “full-metric” template bank to be used in future searches.