Recent Results for SmallScale Anisotropy with Hi Res

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Recent Results for Small-Scale Anisotropy with Hi. Res Stereo Data Konstantin Belov for Chad

Recent Results for Small-Scale Anisotropy with Hi. Res Stereo Data Konstantin Belov for Chad Finley Hi. Res Collaboration International Workshop on Ultra High Energy Cosmic Rays and their sources, Institute for Nuclear Research, Moscow, April 15, 2005

Hi. Res Air-Fluorescence Detector Hi. Res - Located in the Utah desert 2 sites

Hi. Res Air-Fluorescence Detector Hi. Res - Located in the Utah desert 2 sites - 12 km apart Rings of mirrors observe night sky from each site. A cosmic ray induces a shower in the atmosphere which can be observed in UV fluorescent light by both sites. Shower is imaged on arrays of PMTs, and stereo reconstruction provides best measurement of energy and arrival direction.

Angular Resolution Hi. Res stereo observation has sharp angular resolution In Monte Carlo simulations,

Angular Resolution Hi. Res stereo observation has sharp angular resolution In Monte Carlo simulations, 68% of events above 10 Ee. V are reconstructed within 0. 6° of their true arrival direction Ideal for small-scale anisotropy searches Distribution of opening angles between true and reconstructed arrival directions for Hi. Res Monte Carlo events.

Hi. Res Stereo Data Set All data from Dec. 1999 through Jan. 2004 Equatorial

Hi. Res Stereo Data Set All data from Dec. 1999 through Jan. 2004 Equatorial Coordinates

Hi. Res Stereo Data Set (>1019 e. V) 271 well-reconstructed events above 10 Ee.

Hi. Res Stereo Data Set (>1019 e. V) 271 well-reconstructed events above 10 Ee. V Equatorial Coordinates

Autocorrelation Function Angular Correlation: • Count number of pairs Np with separation < θ

Autocorrelation Function Angular Correlation: • Count number of pairs Np with separation < θ • Use Monte Carlo with isotropic distribution to: – find probability of observing Np – determine expected value for <Np> • w = Np / <Np> - 1 Hi. Res (E > 10 Ee. V) is consistent with isotropy at all small angular scales. Abbasi et al. , Ap. J 610 (2004) L 73 271 Hi. Res events above 1019 e. V

Combined Autocorrelation AGASA: • 57 events above 40 Ee. V • Np = 7

Combined Autocorrelation AGASA: • 57 events above 40 Ee. V • Np = 7 , for < 2. 5º • Prob ~ 0. 1% 57 AGASA events above 4× 1019 e. V

Combined Autocorrelation AGASA: • 57 events above 40 Ee. V • Np = 7

Combined Autocorrelation AGASA: • 57 events above 40 Ee. V • Np = 7 , for < 2. 5º • Prob ~ 0. 1% AGASA + Hi. Res: • 57 + 27 events (>40 Ee. V) • Np = 8 , for < 2. 5º • Prob ~ 1% C. Finley, astro-ph/0411130. 57 AGASA events above 4× 1019 e. V 57 AGASA + 27 Hi. Res events above 4× 1019 e. V

Maximum Likelihood Point Source Search Introduced here as a way to search for a

Maximum Likelihood Point Source Search Introduced here as a way to search for a single point source among events with different errors. Qi(xi, xs) is the probability for an event observed at xi to have a true arrival direction at xs. Qi depends on the angular resolution of the event. Ri(x) is the probability distribution for the event to be observed anywhere in the sky. Ri depends on the detector acceptance and exposure.

Maximum Likelihood Point Source Search The test hypothesis is that ns events arrived from

Maximum Likelihood Point Source Search The test hypothesis is that ns events arrived from a source located at xs, and the remaining N-ns events are background. Under this hypothesis, the probability associated with a given event is the weighted sum Pi of the source and background probabilities. The product of Pi for all events gives the likelihood L for a particular choice of ns. The best estimate for ns is the value which maximizes L. In practice, we maximize ln(R), the log of the ratio of the likelihood of ns relative to the likelihood of the null hypothesis: ns = 0. ln(R) is the measure of deviation from the null hypothesis of no source events.

Maximum Likelihood Point Source Search Given a set of data, we scan over a

Maximum Likelihood Point Source Search Given a set of data, we scan over a fine grid of locations in the sky, treating each as a source position, to identify the single spot with highest ln(R). The significance is determined by scanning over Monte Carlo data sets and counting the fraction with ln(RMC) > ln(Rdata). For the AGASA and Hi. Res combined data set above 40 Ee. V, the highest value of ln(R) is ln(R) = 8. 54 for ns=2. 9, at the location of the AGASA triplet. The fraction of Monte Carlo sets with greater ln(R) is 28%.

Maximum Likelihood Point Source Search No significant point source is found in the combined

Maximum Likelihood Point Source Search No significant point source is found in the combined set of Hi. Res and AGASA events above 40 Ee. V. If the Hi. Res threshold is lowered to 30 Ee. V, one more event lands near the triplet. There are now 57 AGASA events and 40 Hi. Res events. The new highest value of ln(R) = 12. 98, and the fraction of MC sets with higher ln(R) is 0. 5% 60° This result contains some biases: • the clustered AGASA events which were originally used to establish the 40 Ee. V threshold are still included in the sample • the Hi. Res energy threshold has to be changed to include an event that contributes to the cluster These biases imply that 0. 5% is a lower bound on the chance probability. Abbasi et al. , Ap. J, in press. 180° 170° See G. Farrar, astro-ph/0501388 for a different interpretation

BL Lac Correlation BL Lac - special type of blazar, active galaxy with jet

BL Lac Correlation BL Lac - special type of blazar, active galaxy with jet axis aligned with our line of sight. Somewhat controversial recent history regarding correlations of UHECR with BL Lac objects: Tinyakov and Tkachev, JETP 74 (2001) 445. Tinyakov and Tkachev, Astropart. Phys. 18 (2002) 165. Gorbunov et al. , Ap. J 577 (2002) L 93. Evans et al. , Phys. Rev. D 67 (2003) 103005. Torres et al. , Astrophys. J. 595 (2003) L 13. Gorbunov et al. , JETP Lett. 80 (2004) 145. Stern and Poutanen, Ap. JL, in press, astro-ph/0501677.

BL Lac Correlation Tinyakov & Tkachev, JETP 74 (2001) 445.

BL Lac Correlation Tinyakov & Tkachev, JETP 74 (2001) 445.

BL Lac Correlation Gorbunov et al. , Ap. J 577 (2002) L 93.

BL Lac Correlation Gorbunov et al. , Ap. J 577 (2002) L 93.

BL Lac Correlation Tinyakov and Tkachev, Astropart. Phys. 18 (2002) 165.

BL Lac Correlation Tinyakov and Tkachev, Astropart. Phys. 18 (2002) 165.

BL Lac Correlation Gorbunov et al. , JETP Lett. 80 (2004) 145.

BL Lac Correlation Gorbunov et al. , JETP Lett. 80 (2004) 145.

BL Lac Correlation One year of data already taken since Jan. 2004. Arrival directions

BL Lac Correlation One year of data already taken since Jan. 2004. Arrival directions have not been examined. After one more year, independent data sample will be ~ 3/4 size of original sample. (More is possible if Hi. Res run is extended. ) Use current sample to decide a priori what will be tested with new data, (e. g. correlations with “BL” objects, “HP” objects)

Conclusions • Angular Correlation for Hi. Res Stereo data above 1019 e. V: –

Conclusions • Angular Correlation for Hi. Res Stereo data above 1019 e. V: – Hi. Res events above 10 Ee. V show no small-scale clustering – Combined Hi. Res and AGASA above 40 Ee. V show reduced correlation • Maximum Likelihood Point Source Search – Combine events with different errors – No significant point source above 40 Ee. V observed • BL Lac Correlations – No correlation between Hi. Res events and BL Lacs in tests of previously made claims – Current claim of correlation between Hi. Res and BL Lacs is a new claim, and must be tested with new data • Future – Two more years of data will nearly double the data set – Decisive, independent test of BL Lac correlations should be possible – Hi. Res is producing the sharpest picture of the Northern sky in ultrahigh energy cosmic rays