1. First Year S5 Low Mass Compact Binary Coalescences Drew Keppel 1 representing the LIGO/VIRGO Compact Binary Coalescence Group 1 California Institute of Technology March LSC Meeting Baton Rouge, LA 19 March 2007 LIGO-G070085-00-Z

2. Summary Start of run (11/4/05) to anniversary of LLO joining S5 (11/14/06) Template Banks: »2pN inspiral templates »2 - 35 M  in total mass »Minimum single component mass of 1 M  Search pipeline (filter, vetoes, coincidence) Playground Data Results Expected Full Data Upper Limit Hurdles to overcome

3. First Year S5 BNS Horizon Distance Distance to optimally oriented 1.4,1.4 M  BNS at  = 8 First Year S5 (playground only) Nov 4, 2005 - Nov 14, 2006

4. First Year S5 BNS Horizon Distance Distance to optimally oriented 1.4,1.4 M  BNS at  = 8 First Year S5 (playground only) Nov 4, 2005 - Nov 14, 2006

5. 20 10 30 4 8 12 16 Template Bank BBH Search BNS Search Mass 1 Mass 2

6. Parameter Accuracy of recovered software injections Accuracies similar to previous searches

7. Parameter Accuracy of recovered software injections Errors in recovered accuracy dominated by higher mass region »Coincidences now done according to metric which is intrinsically mass dependent

8. Vetoes Two types of Vetoes are used to eliminate background triggers »Data Quality Vetoes –Currently there is a preliminary list of vetoes for the first calendar year of S5 –Working with the Burst group to generate a consistent set of vetoes »Signal-Based Vetoes –  2 veto (waveform consistency test) –r 2 veto (  2 time above threshold) –Effective distance and consistency cut Initial tuning for first calendar year very similar to tuning done for S5 Epoch 1 BNS and BBH searches »We were doing something right!

9. Accidental Coincidences and Simulated Signals Initial tuning of pipeline on playground triggers, time slides and injections »All triggers from playground times only Measure background by applying time slides before coincidence Add simulated signals to detector data to evaluate analysis performance

10. Software Injections

11. S5 1 Year Playground Data Background and Foreground Lower Mass Region M chirp < 2.0 Higher Mass Region M chirp > 8.0

12. Mass Dependent Upper Limit Sorting triggers by mass to give different backgrounds and foregrounds for different mass regions »Allows different loudest events and injection recovery efficiencies for different mass regions »Helps to prevent spurious glitches, which affect the higher mass portion of parameter space, from influencing the upper limit we can place on lower mass portion of the parameter space Background may also be dependent on epoch »Looking into correct way to combine different epochs

13. Projected Upper Limit for Non-playground Data Expected Non-playground Time: »H1H2L1:132.6 days »H1H2:75.8 days »H1L1:12.4 days »H2L1:15.5 days Projected Upper LimitN g Rate S4 Result »Total Mass = 3 M  :222 L 10 2.1x10 -2 L 10 -1 yr -1 1.2 L 10 -1 yr -1 »Total Mass = 6 M  :643 L 10 7.6x10 -2 L 10 -1 yr -1 2.3x10 -1 L 10 -1 yr -1 »Total Mass = 10 M  :2020 L 10 2.1x10 -3 L 10 -1 yr -1 4.5x10 -1 L 10 -1 yr -1

14. Future Issues for S5 1 Yr Low Mass CBC Search Deal with memory management issues arising with combining a year’s worth of triggers »RAM »Disk space Finalize tuning, open the box and follow up »Goal is a result presented at July LSC Meeting 2007

15. The End