1. Peebles 1982 Amruta Deshpande 9/17/9 Large Scale Background Temperature and Mass Fluctuations Due to Scale-Invariant Primeval Perturbations

2. A Cold WIMP Model  = 1,  = 0 & WIMP mass, m x > ~ 1 keV On top of primeval pertubation spectrum || V Density Fluctuation Power Spectrum, P(k) RMS Mass Fluctuation,  M/M Autocorrelation Length,  Size of Temperature Fluctuation,  T/T

3. Overview Important Model Features and Motivations Calculations Discussion of Findings

4. Basic Assumption 1 Adiabatic Perturbations with Scale-Invariant Power Spectrum: – P(k) k Equal amount of density fluctuation at any length scale (scale invariant) Primeval spectrum Spectrum at small k or large scale

5. Basic Assumption 2 m x Dominates (  = 1) Needed to make small scale (smaller than Jean’s length) perturbations grow before decoupling Baryon-only universe, inconsistent with – P(k)  k – linear growth factor off by 8 orders of magnitude

6. How Heavy? Limit on m x : Particle Velocity Distribution: – [ exp(m x vc/kT x ) ± 1 ] -1 distribution  rms peculiar velocity  rms displacement, r

7. Power Spectrum Small k: P(k) k Large k: P(k)  k -3

8. Background Temperature, for  << 1 radian

9. RMS Mass Fluctuation From: Get: a 2 = 3.5x10 -6 R -2 ~ primeval Thermal motions 8 Mpc

10. Summary of Results / Implications a 2 = 3.5x10 -6  T/T ~ 5x10 -6

11. Conclusions Adding a dominant, massive, weakly interactive component to the universe allows perturbations to grow sufficiently, to explain to the distribution of galaxies seen today.