Observations of TeV blazars seem to be well explained by leptonic synchrotron inverse-Compton models, but there may be an hadronic mechanism involved as.

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Observations of TeV blazars seem to be well explained by leptonic synchrotron inverse-Compton models, but there may be an hadronic mechanism involved as well. The detection of neutrinos from these sources would provide evidence for such a mechanism. Given the possible correlation between TeV photons and neutrinos from pion decays, neutrino discovery potential can be enhanced by looking for coincidences with TeV flares or by studying correlations with X-ray and gamma-ray behavior. We aim at studying three blazars (Markarian 421, Markarian 501, and 1ES ), collecting data from 3 experiments: the WIYN 0.9m optical telescope, the Whipple/VERITAS gamma-ray observatory, and the AMANDA/IceCube neutrino detectors. Information from the TeV Whipple/VERITAS telescopes on the occurrence of high states and flux variability would allow us to determine the timing dependence for a possible neutrino signal, forming the basis of a blinded neutrino analysis. The optical data from the WIYN telescope would serve to help characterize the blazars' Spectral Energy Distribution (SED) outside of the TeV range. In this poster we show our first results concerning optical observations and Whipple data. WIYN Whipple / VERITAS AMANDA / IceCube We requested observation time from the 0.9m WIYN telescope to be in coincidence with VERITAS observations of the three blazars. Time was allocated in the period between 18 Apr- 10 May and a few days in June 2006, before the telescope was struck by lightning. We received images in the B and V optical bandpasses (corresponding to effective wavelengths of about 365 and 440 nm, respectively), then reduced and calibrated them using standard comparison stars [1] to obtain fluxes. Starting A Multi-wavelength Campaign Below: Flux plots for Mrk 421, Mrk 501, and 1ES The flux is in units of Janskys, where 1 Jansky = 1e-23 erg s -1 m -2 Hz -1. In hadronic blazar models, neutrino and gamma-ray emissions should be correlated, both coming from the decay of pions. If these models are correct, neutrino detection should be more likely during “flares”, periods of high gamma- and X-ray activity. We have used long-term Whipple data to analyze the frequency of flares and preliminary data to compare with our optical observations.. Below: Long-term X-ray and gamma-ray lightcurves for Markarian 421 (top) and 1ES (bottom) [2-5]. In order to characterize periods of flaring we used the method of Maximum Likelihood Blocks, which calculates likelihoods in order to divide a light curve into regions of relatively constant flux [6, 7]. The goal of the method is to smooth out purely statistical fluctuations. To obtain an estimate of flaring probability, we could then calculate the percentage of time the source spent above a threshold value, taken to be 1.5 Crabs. In the case of Mrk 421 we observed in the TeV data a variation of the flux up to 1.5 Crabs during the observation time of the WIYN experiment. For comparison, we have plotted the flux values for Mrk 421 alongside the predictions of the leptonic Synchroton Self-Compton model for blazar emission. Parameters for the SSC curve come from a previous analysis of gamma and X- ray data [2] and the code to generate it comes from the VERITAS collaboration [8]. Optical observations inevitably capture light from the blazar jet's host galaxy, so data from the optical and radio portions of the spectrum would be expected to lie above the SSC curve. Above, left: Four years of Whipple data on Mrk 421 with maximum likelihood blocks overlaid. The data are daily averages in units of photons per run, which last an average of 28 minutes. The pink line marks 1.5 crabs, which changes from year to year with telescope calibration. Above, right: Recent data from the Whipple webpage [9], already converted to crabs and separated into blocks. The red box marks the period overlapping with WIYN observations. The borders of the blocks are arbitrarily set midway between adjacent data points, but large gaps in data were not counted in calculations of flaring frequency. Accelerated protons in the jet of a blazar, which could account for some of its gamma-ray emission, would also produce neutrinos in interactions with radiation in the jet. No neutrino data are shown here in order to preserve the statistical purity of the sample until the analysis has been fully optimized. In past point-source searches, however, the AMANDA detector has been shown to have sensitivity to a neutrino flux comparable to the TeV flux of the blazar Mrk 501 in a high state [10]. To be detectable, then, a blazar would have to emit one neutrino for every gamma, meaning that its gamma-ray emission would be almost completely by hadronic mechanisms. If we focus on flaring periods defined by the gamma-ray or X-ray data, however, the significance of observing a neutrino event in that period increases compared to a general point-source search. Alternatively, instead of confining a search to specific flares, we could take longer time periods and study the correlation between neutrino events and high-flux behavior in gamma rays. Above, left: Spectral Energy Distribution plot from Blazejowski et al [2], derived from X-ray and gamma-ray observations. The solid line is the best fit to the data with a one-zone SSC model. Note that optical (10^14 Hz), radio (10^10 Hz) and very high energy gamma data (>10^25 Hz) deviate significantly from the curve. Above, right: A plot using Blazejowski's parameters, with our optical data superimposed. We calculated the flaring probability by tabulating both telescope runs and daily averages, obtaining values of 39% and 24%, respectively. The discrepancy reflects problems with both methods. The telescope runs are biased towards periods of high flux—if the source was in a high state, Whipple took more data—while the daily averages ignore the real possibility of flares on shorter timescales. In either case the data suffer from gaps both large and small. Because of these concerns it may be better to use an instrument with more regular observations, such as an X-ray satellite, to identify flares. References [1] M. Villata et al 1998, Astron. Astrophys. Suppl. Ser. 130, 305 [2] Blazejowski et al 2005, ApJ B [3] Krennrich et al 2002, ApJ 575, L9 [4] Grube et al 2005, ICRC proceedings [5] Rebillot et al 2006, ApJ R [6] J. D. Scargle 1998, ApJ 504, 405 [7] E. Flaccomio, “Maximum Likelihood Blocks for the Analysis of Time Series” [8] H. Krawczynski, available at jelley.wustl.edu/multiwave/spectrum/ [9] Available at veritas.sao.arizona.edu/VERITAS_whipple.html [10] J. Ahrens, et. al., (AMANDA) Phys.Rev.Lett. 92 (2004) Near right: A raw image of Mrk 421 from the WIYN telescope. Notice the instrumental effects, including the vertical line of light pixels in the upper left. Far right: A reduced image of Mrk 421. The red circle marks the blazar itself, and the blue circles mark the three comparison stars used for calibration. Right: Preliminary Whipple data, likelihood blocks, and optical results for Mrk 421 in the period from 17 Apr – 15 June No correlation is observed. PRELIMINARY

Joint Multi-Wavelength Observations of Blazars with WIYN-VERITAS-IceCube Matthew Bayer, University of Wisconsin-Madison Kirsten Larson, College of Wooster Teresa Montaruli, University of Wisconsin-Madison David Steele, Adler Planetarium