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Space Grant Consortium - University of Wisconsin - Green Bay

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Fig. 3.— Cartoon Image <strong>of</strong> SN blastwave interacting with CSM (Stockdale, et al., 2007).<br />

generally regarded as being evenly distributed, with a homogenously decreasing density as<br />

the distance from the SN increases but this is not always the case, and can lead to variances<br />

in the data (Weiler, et al., 2002). The clumps in the CSM depicted in Figure 3 are areas<br />

<strong>of</strong> an uneven density distribution and can be the result <strong>of</strong> the stars natural loss <strong>of</strong> CSM or<br />

because <strong>of</strong> the interaction with a binary companion star.<br />

The CSM “fog” is different from normal fog in that long wavelength radiation is obscured<br />

more easily, whereas the short wavelength optical radiation that is normally obscured by a<br />

classical “fog”. Thus, the results <strong>of</strong> the radio emission generally show that over time, as the<br />

energy <strong>of</strong> the blastwave disperses and the column density <strong>of</strong> the CSM decreases, the intensity<br />

<strong>of</strong> the longer wavelength frequencies increase; whereas the short wavelengths then decrease<br />

over time. The larger intensity <strong>of</strong> the longer wavelengths over time is an indication that<br />

the radiation from the SN is not thermal, but rather synchrotron (radiation coming from<br />

relativistic particles trapped in magnetic fields). The radiation emissions from the blastwave<br />

are also obscured by the distant ionized hydrogen (HII) regions as seen in Figure 3. This<br />

absorption, unlike that <strong>of</strong> the CSM, is constant with time and can easily be accounted for<br />

in order to find the effects by the CSM alone.<br />

Procedure<br />

The radio data for the SNe were analyzed and processed using the computer program called<br />

Astronomical Imaging Processing System (AIPS). The first step <strong>of</strong> the program after loading<br />

the data onto the computer was to flag any erroneous data points that could skew the outcome<br />

<strong>of</strong> the analysis. The erroneous data stemmed from several possible sources, such as weather<br />

3

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