2,391 research outputs found

    Staying over-optimistic about the future : uncovering attentional biases to climate change messages

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    There is considerable concern that the public are not getting the message about climate change. One possible explanation is ‘optimism bias’, where individuals overestimate the likelihood of positive events happening to them and underestimate the likelihood of negative events. Evidence from behavioural neuroscience suggest that this bias is underpinned by selective information processing, specifically through a reduced level of neural coding of undesirable information, and an unconscious tendency for optimists to avoid fixating negative information. Here we test how this bias in attention could relate to the processing of climate change messages. Using eye tracking, we found that level of dispositional optimism affected visual fixations on climate change messages. Optimists spent less time (overall dwell time) attending to any arguments about climate changes (either ‘for’ or ‘against’) with substantially shorter individual fixations on aspects of arguments for climate change, i.e. those that reflect the scientific consensus but are bad news. We also found that when asked to summarise what they had read, non-optimists were more likely to frame their recall in terms of the arguments ‘for’ climate change; optimists were significantly more likely to frame it in terms of a debate between two opposing positions. Those highest in dispositional optimism seemeed to have the strongest and most pronounced level of optimism bias when it came to estimating the probability of being personally affected by climate change. We discuss the importance of overcoming this cognitive bias to develop more effective strategies for communicating about climate change

    Multi-Wavelength Variability of the Synchrotron Self-Compton Model for Blazar Emission

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    Motivated by recent reports of strongly correlated radio and X-ray variability in 3C279 (Grandi, etal 1995), we have computed the relative amplitudes of variations in the synchrotron flux at ν\nu and the self-Compton X-ray flux at 1 keV (R(ν)R(\nu)) for a homogeneous sphere of relativistic electrons orbiting in a tangled magnetic field. Relative to synchrotron self-Compton scattering without induced Compton scattering, stimulated scattering reduces the amplitude of R(ν)R(\nu) by as much as an order of magnitude when \tau_T \gtwid 1. When τT\tau_T varies in a fixed magnetic field, RτR_{\tau} increases monotonically from 0.01 at νo\nu_o, the self-absorption turnover frequency, to 0.50.5 at 100νo100 \nu_o. The relative amplitudes of the correlated fluctuations in the radio-mm and X-ray fluxes from 3C279 are consistent with the synchrotron self-Compton model if τT\tau_T varies in a fixed magnetic field and induced Compton scattering is the dominant source of radio opacity. The variation amplitudes are are too small to be produced by the passage of a shock through the synchrotron emission region unless the magnetic field is perpendicular to the shock front.Comment: 21 pages, 4 fig

    On the Reliability of Cross Correlation Function Lag Determinations in Active Galactic Nuclei

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    Many AGN exhibit a highly variable luminosity. Some AGN also show a pronounced time delay between variations seen in their optical continuum and in their emission lines. In effect, the emission lines are light echoes of the continuum. This light travel-time delay provides a characteristic radius of the region producing the emission lines. The cross correlation function (CCF) is the standard tool used to measure the time lag between the continuum and line variations. For the few well-sampled AGN, the lag ranges from 1-100 days, depending upon which line is used and the luminosity of the AGN. In the best sampled AGN, NGC 5548, the H_beta lag shows year-to-year changes, ranging from about 8.7 days to about 22.9 days over a span of 8 years. In this paper it is demonstrated that, in the context of AGN variability studies, the lag estimate using the CCF is biased too low and subject to a large variance. Thus the year-to-year changes of the measured lag in NGC 5548 do not necessarily imply changes in the AGN structure. The bias and large variance are consequences of finite duration sampling and the dominance of long timescale trends in the light curves, not due to noise or irregular sampling. Lag estimates can be substantially improved by removing low frequency power from the light curves prior to computing the CCF.Comment: To appear in the PASP, vol 111, 1999 Nov; 37 pages; 10 figure

    Testing Lorentz Invariance and CPT Conservation with NuMI Neutrinos in the MINOS Near Detector

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    A search for a sidereal modulation in the MINOS near detector neutrino data was performed. If present, this signature could be a consequence of Lorentz and CPT violation as predicted by a class of extensions to the Standard Model. No evidence for a sidereal signal in the data set was found, implying that there is no significant change in neutrino propagation that depends on the direction of the neutrino beam in a sun-centered inertial frame. Upper limits on the magnitudes of the Lorentz and CPT violating terms in these extensions to the Standard Model lie between 0.01-1% of the maximum expected, assuming a suppression of these signatures by factor of 101710^{-17}.
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