culinary_services
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culinary_services [2014/06/06 15:22] long |
culinary_services [2014/06/06 15:52] long |
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| + | ==========Culinary Services========== | ||
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| We are Culinary Services. \\ | We are Culinary Services. \\ | ||
| - | \\ | ||
| - | Who ordered the extra side of <sup>44</sup>Ti? | ||
| - | |||
| **GROUP MEMBERS**\\ | **GROUP MEMBERS**\\ | ||
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| ==== TOPIC ==== | ==== TOPIC ==== | ||
| - | Sensitivity studied of <sup>44</sup>Ti production in in core-collapse supernova environments. | + | Sensitivity studiy of <sup>44</sup>Ti and <sup>56</sup>Ni production in in core-collapse supernova environments. |
| ===Scientific Background=== | ===Scientific Background=== | ||
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| There are many uncertainties in our understanding of core-collapse supernovae, including the explosion mechanism and nucleosynthesis. One way to gain insight into these phenomena is to study the nucleosynthesis of radioactive isotopes in the shock-heated material. These isotopes, such as <sup>44</sup>Ti and <sup>56</sup>Ni, determine the features of the supernova light curve. Observations of supernova remnants can be used to put bounds on the production of these isotopes. | There are many uncertainties in our understanding of core-collapse supernovae, including the explosion mechanism and nucleosynthesis. One way to gain insight into these phenomena is to study the nucleosynthesis of radioactive isotopes in the shock-heated material. These isotopes, such as <sup>44</sup>Ti and <sup>56</sup>Ni, determine the features of the supernova light curve. Observations of supernova remnants can be used to put bounds on the production of these isotopes. | ||
| - | {{ ::cassa.png?nolink&200 |Observation of Cassiopeia A. Green shows 44Ti distribution, blue is 28Si, and the red shows the Fe distribution. (From Grefenstette et al 2014)}} | + | {{ ::cassa.png?nolink&600 |Observation of Cassiopeia A. Green shows 44Ti distribution, blue is 28Si, and the red shows the Fe distribution. (From Grefenstette et al 2014)}} |
| Figure: Observation of Cassiopeia A. Green shows <sup>44</sup>Ti distribution, blue is <sup>28</sup>Si, and the red shows the Fe distribution. (From Grefenstette et al 2014) | Figure: Observation of Cassiopeia A. Green shows <sup>44</sup>Ti distribution, blue is <sup>28</sup>Si, and the red shows the Fe distribution. (From Grefenstette et al 2014) | ||
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| ==$^{44}$Ti Production== | ==$^{44}$Ti Production== | ||
| - | {{ :44ti.png?nolink&900 }} | + | {{ :44ti.png?nolink&900| 44Ti production for a given peak temperature and peak density.}} |
| + | $\hspace{2cm}$ $^{44}$Ti production for a given peak temperature and peak density for three different Y$_{e}$'s | ||
| ==$^{56}$Ni Production== | ==$^{56}$Ni Production== | ||
| - | {{:56ni.png?nolink&900|}} | + | {{:56ni.png?nolink&900| 56Ni production for a given peak temperature and peak density}} |
| + | $\hspace{2cm}$ $^{56}$Ni production for a given peak temperature and peak density for three different Y$_{e}$'s | ||
| **REFERENCES** \\ | **REFERENCES** \\ | ||
culinary_services.txt · Last modified: 2014/06/06 15:52 by long
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