LIGO DCC G0900920-v5 Signal and noise Both searches - Burst and Inspiral - need to distinguish between real signals in the gravitational wave data and.

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LIGO DCC G v5 Signal and noise Both searches - Burst and Inspiral - need to distinguish between real signals in the gravitational wave data and bursts of noise from the detector environment (glitches). To understand the background rates of glitches, the searches assume that any real signal associated with the GRB will be in a short time window around the GRB event. This time window is labeled “on-source time”, and time outside this window is labeled “off- source”. Before searching the on-source time, events in the off-source time are used to characterize the statistical properties of background glitches. GRB GRB was reported to have an error box consistent with a position in the near-by Andromeda galaxy (M31), which lies a mere 780 kpc away. The analysis of this GRB was previously released in [3]. The analysis excluded a compact object merger in the Andromeda galaxy with > 99% confidence, lending support to the hypothesis that this GRB is a soft-gamma repeater. Inspiral Analysis Upper Limits (Short GRBs) The Inspiral analysis converts limits on GW energy into distances by assuming the source to be a compact object merger in the mass range appropriate for double neutron star mergers (NS-NS) or a merger of a black hole and a neutron star (NS-BH). The distance limit for each GRB is a 90% confidence limit lower Feldman- Cousins distance. These results are currently in preparation. Results: X-Pipeline The X-Pipeline analysis finds no evidence for gravitational waves associated with any of the 137 analyzed GRBs. For each GRB, the loudest event in the on-source window is used to set an upper-limit on the gravitational wave energy associated with the event. Using a scaling law between GW energy and distance, and the assumption that each source emits 0.01Mc 2 (M = 1 Solar Mass) in GW, we convert the GW energy limits into distance limits for each possible gravitational wave source. Limits on GRB distances from LIGO and Virgo Jonah Kanner, University of Maryland for the LIGO Scientific Collaboration and the Virgo Collaboration Abstract Several popular models for Gamma-Ray Burst (GRB) progenitors are also expected sources for gravitational wave emission, including core-collapse supernovae and compact binary mergers. Using information from the Gamma-ray bursts Coordinates Network and the LIGO and Virgo gravitational wave observatories, we search the data for gravitational wave events in coincidence with known GRBs between November 4, 2005 and October 1, This poster presents the latest results. The observed limits on gravitational wave energy are used to construct a minimum distance for each GRB which does not have a measured redshift. Figure 1 - The interferometers of the LIGO/Virgo network are located in Livingston, LA; Hanford, WA; and Cascina, Italy. For each GRB considered, we look for events of excess power in 2 or more detectors at times within a small window around the GRB. In addition to looking for time coincidence with the GRB, the GRB position is used to demand a relative time delay between gravitational wave phase at the three locations. More information Details of the X-Pipeline analysis, along with tables listing the distance limits for each of the 137 GRBs analyzed, are available in [1]. Details of the Inspiral analysis, along the tables listing the distance limits for each of the 22 SHB analyzed are in preparation [2]. [1] Search for gravitational-wave bursts associated with gamma-ray bursts using data from LIGO Science Run 5 and Virgo Science Run 1 - Preprint, arXiv: v1 [2] Search for gravitational-wave inspiral signals associated with short Gamma-Ray Bursts during LIGO's fifth and Virgo's first science run - In Preparation [3] Astrophys. J. 681, 1419 (2008) Acknowledgements The authors gratefully acknowledge the support of the United States National Science Foundation for the construction and operation of the LIGO Laboratory, the Science and Technology Facilities Council of the United Kingdom, the Max-Planck-Society, and the State of Niedersachsen/Germany for support of the construction and operation of the GEO600 detector, and the Italian Istituto Nazionale di Fisica Nucleare and the French Centre National de la Recherche Scientique for the construction and operation of the Virgo detector. The authors also gratefully acknowledge the support of the research by these agencies and by the Australian Research Council, the Council of Scientic and Industrial Research of India, the Istituto Nazionale di Fisica Nucleare of Italy, the Spanish Ministerio de Educacion y Ciencia, the Conselleria d'Economia Hisenda i Innovacio of the Govern de les Illes Balears, the Foundation for Fundamental Research on Matter supported by the Netherlands Organisation for Scientic Research, the Royal Society, the Scottish Funding Council, the Scottish Universities Physics Alliance, The National Aeronautics and Space Administration, the Carnegie Trust, the Leverhulme Trust, the David and Lucile Packard Foundation, the Research Corporation, and the Alfred P. Sloan Foundation. Two Search Methods We use two methods to search the gravitational wave data with different assumptions. The Burst method uses “X-Pipeline” to search the time around each GRB for excess power, making only loose assumptions on the waveform. This method is designed to be general enough to see nearly any short duration ( 2s ) and short bursts ( < 2 s ). Short bursts are thought to originate with compact object mergers – systems for which the gravitational waveform is well studied. The second search, known as the inspiral search, is tailored specifically to find the predicted waveforms from in-spiraling binary compact objects. The inspiral search is used for 22 short duration gamma ray bursts (SHB) in the data set. Compared to the general excess power search, the inspiral search makes more stringent demands on the signal space, and so is generally expected to be more sensitive to weak signals. Figure 2 – Time/Frequency Map produced by X-Pipeline. A simulated inspiral signal from a 1.4 solar mass neutron star merging with a 10.0 solar mass black hole star at an effective distance of 37 Mpc, added to simulated H1-H2 noise. The color-scale represents a standard likelihood statistic for each point in the time-frequency plane. The standard likelihood takes advantage of cross-correlations between multiple detectors to best separate signal from noise without making assumptions about the waveform. In comparison, the inspiral pipeline computes a cross-correlation between each detector and a pre-determined waveform, a method known as matched template filtering. Excess power from a simulated signal Figure 5 - The error box of GRB overlaps the Andromeda Galaxy. GW from a compact object merger in this galaxy would show up strongly in our analysis. We rule out this possibility with > 99% confidence, suggesting the event may have been a soft gamma ray repeater. Image credit: Mazets, et al. Astrophys. J. 680, 545 (2008) Figure 6 – Histogram of lower limits on distances to the 137 GRBs in the X- Pipeline analysis. The distances are derived from the observed GW energy limits. The majority of the GRBs lack a distance estimate based on the available electro-magnetic data. A table listing the limit placed on each GRB distance is available in [1]. Equation 1 – Relation between gravitational wave energy and source distance. D is the distance, f the central GW frequency, and h rss a measure of the GW strain. Time of GRB On-source time searched for GW from GRB Off-source time used to estimate background Figure 3 – Graphical timeline showing the time around a GRB is divided into “on-source” and “off-source”. For the Burst search, the on-source stretches from 120 s before the event to 60 s after, and 3 hours of “off-source” time are used to estimate the background. The Inspiral search assumes a better understood source, and so uses a comparatively shorter on-source window from 5 s before the GRB to 1 s after with about 33 minutes of off-source time. Injections To measure the sensitivity of the search algorithm, we add simulated waveforms (injections) to off-source data. Comparison of recovered parameters for background events (glitches) and injections allows the creation of cuts which reject glitches and pass a maximal number of injections. Figure 4 – Sample cut by X-pipeline can be seen as the pink line on this plot. The cut is placed to reject loud background events, which will tend towards the diagonal in this plane (shown as a dashed gray line). The red squares near the top of the plot represent simulated signals. The loudest event in the on-source data to pass the cuts is used to construct an upper-limit on gravitational wave energy for each GRB. Separation of injections and background with X-Pipeline Vetoed Region Loud Glitches Simulated GW Signals Noise glitches Figure 7 – Two magnetized neutron stars are shown merging in this simulation image. Credit: Daniel Price (University of Exeter) and Stephan Rosswog (International University Bremen). AAS