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Analyzing Models of the Diffuse Soft X-Ray Background

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Science background. Soft X-Rays. Soft X-Ray Detectors. The Interstellar Medium ... Science: X-Ray physics, ISM, detector physics. Skills: FORTRAN, IDL, XSPEC ... – PowerPoint PPT presentation

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Title: Analyzing Models of the Diffuse Soft X-Ray Background


1
Analyzing Models of the Diffuse Soft X-Ray
Background
  • Eric Bellm
  • REU 2003, University of Wisconsin
  • Prof. Dan McCammon, advisor

2
Overview
  • Science background
  • Soft X-Rays
  • Soft X-Ray Detectors
  • The Interstellar Medium
  • Evaluating the Snowden model
  • Conclusions, Future Directions, c.

3
Soft X-Rays
  • Energies of 50 eV-2 keV (50-300 eV this study)
  • Produced by thermal plasmas (Tmillions of K)
    Shell transitions -gt lines

4
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

5
Detectors
  • Proportional Counters
  • Bands defined with filters

Absorption will change the relative count rates
in different bands
6
(No Transcript)
7
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 gt
    local source material

8
ISM Schematic 1
9
ISM Schematic 2
  • But--shadows toward distant clouds in 1/4 keV

Be band?
10
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?

11
Results
  • Better proportionality between Be band and
    modeled 1/4 keV local rate than Be band and 1/4
    keV total

12
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?

13
What I Learned This SummerBy Eric Bellm
  • Science X-Ray physics, ISM, detector physics
  • Skills FORTRAN, IDL, XSPEC
  • Wisdom impossible to quantify

14
Acknowledgements
  • Dan McCammon
  • Wilt Sanders
  • Bob Benjamin
  • NSF/University of Wisconsin
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