analyzing models of the diffuse soft x-ray background
DESCRIPTION
Analyzing Models of the Diffuse Soft X-Ray Background. Eric Bellm REU 2003, University of Wisconsin Prof. Dan McCammon, advisor. Overview. Science background Soft X-Rays Soft X-Ray Detectors The Interstellar Medium Evaluating the Snowden model Conclusions, Future Directions, &c. - PowerPoint PPT PresentationTRANSCRIPT
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Analyzing Models of the Diffuse Soft X-Ray Background
Eric Bellm
REU 2003, University of Wisconsin
Prof. Dan McCammon, advisor
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Overview
• Science background– Soft X-Rays– Soft X-Ray Detectors– The Interstellar Medium
• Evaluating the Snowden model
• Conclusions, Future Directions, &c.
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Soft X-Rays
• Energies of 50 eV-2 keV (50-300 eV this study)
• Produced by thermal plasmas (T~millions of K):
Shell transitions -> lines
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Absorption of Soft X-Rays
• Soft X-rays may be absorbed by neutral Hydrogen
• Strong energy dependence (E-3): lower energies more likely to be absorbed
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Detectors
• Proportional Counters• Bands defined with
filters
Absorption will change the relative count rates in different bands
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The ISM (Roughly)
• (Note: deviation from orthodoxy)
• Matrix of warm H I (102-104 K)
• Bubbles of hot gas (106-107K) emit X-Rays
• Distribution of hot gas?
• Wisconsin observations: Be band 1/4 keV => local source material
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ISM Schematic #1
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ISM Schematic #2• But--shadows toward distant clouds in 1/4 keV
Be band?
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Snowden Model• Snowden et al. 1998 used 1/4 keV ROSAT
maps, assumed picture #2
• Fit local and halo components:
• Iobs = Iloc + e-(E) NH Ihalo
• Does this model predict Be band counts?
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Results• Better proportionality between Be band and modeled 1/4 keV local rate than Be band and 1/4 keV total
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Conclusions• Simple model seems to obey both
constraints
• Some subtleties remain– Large amount of scatter when using model to
predict count rates– Choice of model, abundances– Redo fit with better models, more constraints?
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Acknowledgements
• Dan McCammon
• Wilt Sanders
• Bob Benjamin
• NSF/University of Wisconsin