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Neutrino Point Source Searches with IceCube 22 String Configuration Michael Baker, for the IceCube Collaboration University of Wisconsin, Madison APS April Meeting May 2, 2009
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2 Michael Baker Introduction: IceCube 22-string configuration
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3 Michael Baker Neutrinos are good messengers because they aren't absorbed or deflected (unlike photons or protons) on the way from the source Detection of astrophysical neutrinos would be a “smoking gun” for high-energy proton acceleration proving which are the sources of cosmic rays Candidate neutrino sources: AGNs, SNRs, pulsars, Microquasars, GRBs,... Backgrounds: atmospheric neutrinos (all over the sky), downgoing atmospheric muons (downgoing and upgoing too, if mis- reconstructed)
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4 Michael Baker Likelihood ratio analysis comparing Signal to signal+background hypothesis Analysis Method Time-dependent term to look for bursts of neutrinos using MWL information or periodic emission (mqso) Background Signal Energy: spectrum from sources ∼ E -2, background ∼ E -3.6 PSF
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5 IC22 Point Source Analysis Characteristics Michael Baker Point Spread Function Fraction of events reconstructed within a specific angle of the true direction. Confirm point spread function with moon shadow. (See talk by L. Gladstone this session) Muon Neutrino Effective Area
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6 2007 May 31 - 2008 Apr 5: 275.70 days livetime after selecting good runs. Simple set of cuts applied to data, to select good upgoing events and reject downgoing and coincident background, including: Quality of the reconstruction Min Number of hits from direct muon Cherenkov light Estimated event directional uncertainty < 3 deg log likelihood ratio of best-fit upgoing track to best-fit downgoing track 5114 Events after cuts -- ~4700 Atmospheric nu expected. Perform point source search using: a priori list of 28 source candidates all sky search from -5° to +85° declination Michael Baker Overview of the IC-22 dataset
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7 Michael Baker IC22 Point Source Results Lowest pretrial p-value of 28 on source list: 1ES 1959+650 (p=0.07, not significant after trial factors are taken into account). Hottest spot found at r.a. 153º, dec. +11º est. nSrcEvents = 7.7 est. gamma = -1.65 Post-Trials p-value of the hottest spot is 1.35% (2.2 σ) If spot is a steady source, we can confirm it in subsequent years of data Concern that it could be due to a one-time occurrence. paper to be submitted shortly
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Discovery potential for 22 strings: ~12 E^-2 spectrum events needed for 50% 5σ detection on average Sensitivities 90% CL Binned analysis including strict energy cuts extends the FoV to the Southern sky Michael Baker Sensitivities
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9 Michael Baker Time Dependent analysis of the Hotspot Neither analysis finds any significant clustering of events in time. P= 0.5 using energy, p=0.3 without. We decided to perform a test to look for a clustering of signal from the hotspot, and examined the weights with and without the energy weights. Blue is the event weights Black is the raw events Red is the best-fit gaussian
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10 Michael Baker Microquasars Binary stellar systems which have evidence of a non-thermal radio jet. We assumed neutrino emission is periodic with the orbit of the system. Time Integrated Time Dependent We found that the discovery potential is better than the time- integrated analysis if the sigma of the emission is less than one fifth of the period. Tested 7 northern-hemisphere microquasars, didn't see a a significant excess. : width normalized to one period arXiv:astro-ph/0607192v2
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11 IceCube 22 String Multiwavelength Flare Search Testing for correlation between neutrino emission and multiwavelength observations of high states in astronomical objects R F (Jy) @37 GHz S5 0716 Lightcurve We chose: 3C 454.3: July 24-30 2007 and Nov. 11-21 2007 1ES 1959: Nov 25-28 2007 and Dec 2-7 2007 Cygnus X-1: August 8 2007 S5 0716+71: September 7-12 2007 and October 19-28 2007 Michael Baker
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12 Michael Baker 5 of 7 time windows returned p-value=1 (this fraction of scrambled data gives a higher test statistic than the data) Two flares give p-values of 0.02 and 0.08 S5 0716+71 Oct 19-28 2007 1ES 1959+650 Dec 2-7 2007 p=0.02p=0.08 nsrc=0.99 nsrc=0.76 We took samples of random p-values for all 7 time windows we looked at, and find that the product of the p-values is less in 10% of trials. Still consistent with background fluctuations. IceCube 22 String Multiwavelength Flare Search
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13 Michael Baker With the IceCube 22 string dataset, we added a time- dependent hypotheses in conjunction with the point-source analysis. We tested for periodic and transient sources, and did a test for neutrino flares for the hotspot. No test returned a statistically significant result. For the IceCube 40 string dataset, we plan to look at periodic emissions from microquasars, MWL flares, and time dependencies of the hottest spots. Conclusions
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14 Michael Baker Backup
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15 Michael Baker Microquasar Results The smallest p-value pretrial we got for the microquasar analysis is 0.06 for SS 433, which isn't significant given we looked at 7 objects SS 433 Here are two examples of the 7 microquasars, the events are plotted in phase. Black is the # events per bin, blue the space and energy in the bin, and red is the best-fit Gaussian reconstruction. Ls I +61
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