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Supernova Remnants

By Daniela Cako. Supernova Remnants. Outline of presentation. Background information My model and questions The data and its results Discussion of data New model from data Conclusion. What are Supernova Remnants (SNRs)?.

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Supernova Remnants

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  1. By Daniela Cako Supernova Remnants

  2. Outline of presentation Background information My model and questions The data and its results Discussion of data New model from data Conclusion

  3. What are Supernova Remnants (SNRs)? • The end of a massive star’s life in a massive explosion is a supernova • Type 1- binary system with white dwarf and normal star • Type 2- collapse of core to form a neutron star • What is left after the explosion is called supernova remnants

  4. More Background! ALL Supernova Remnants looked at are: In diameter around 6pc Vary from 300 to 1500 years old They are around 3kpc away Expanding 10,000 m/s which is 40 times the speed of a jet (250m/s) 10,000 m/s expansion

  5. My questions Why are SNR’s shaped the way they are? What is the environment in an SNR like? What is left after it explodes? The question to address: What happens as it explodes?

  6. My model Star explodes- material will expanding “equally” or uniformly in a spherical shape Inverse relationship between the temperature and the distance from the center to the outer part of the supernova remnant. The farther away from the center of a Supernova remnant you are the cooler it will be. (Mathematically T = 1/r^n).

  7. Data and Methods Ds9 is a software used by professional astronomers to analyze data The data from Chandra X-ray Observatory Through DS9: Radial Profile Plot of Brightness Quick Energy Spectrum Fitted models to get the temperature in different regions

  8. Let’s go through the data of one SNR! Looked at Tycho’s Radial Plot for Surface Brightness Notice the relationship of the plot with the image Did this for all the other SNRs.

  9. Temperature and Radial plot Tycho • Surface Brightness and temperature relate. • In temperature profile (gotten from the Energy vs. Intensity plot) - peaks at the last region

  10. MSH 11-54 • The temperature plot for MSH 11-54 is much different from the other SNR • It has variations- it starts out low and then goes into a local maxima and then falls down again only to peak latter on • No direct visible relationship between the two plots

  11. Cas A • Cas A is the only SNR that “somewhat” followed my model idea • Cas A starts out low and then peaks and then it goes down really fast • No direct relationship between the two graphs

  12. Conclusion Model idea SNR expand in spherically and the farther away from the center you are the “cooler” and less brighter it will become

  13. Conclusion • Conclusion Model • The SNR does not expand uniformly, instead it expands in a layer-like method and the “layer/shell” that’s being expanded is the high peak of temperature noticed in the graph • Btw the layer and the center there is nothing • Further data and testing is needed

  14. Acknowledgements I want to thank the following people: Mark Hartman, Dr. Irene Porro, Dr. Fred Baganoff, Dr. Andy Young, Dr. Mike Nowak, Dr. Sebastian Heinz For helping me with this project and for their support. Thank You. Also some links: http://snrcat.cfa.harvard.edu/ http://chandra.harvard.edu/

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