1. Dynamic Scheduling Simulations Dana S. Balser & J.J. Condon
Based on ~ 3 years of weather data
Total time: schedule 1 full year with 20% backlog  900 sessions x [1-5] TPs ~ 2700 TPs
TP = [2-6] hrs  1.2 years
Frequency coverage: 30% L-band and lower; 5% S-band; 5% C-band; 5% X-band; 5% Ku-band; 25% K-band (40% H2O); 10% Ka-band; 15% Q-band
10% H2O
Spatial coverage: % all sky; 75% single source or region (1/3 in Galactic Plane (20% GC) ; 2/3 Extragalactic)
5% GC

2. Frequency Coverage
Histogram of the number of sessions for 1 GHz frequency bins.
White area: total number of sessions allocated
Blue area: number of sessions executed

3. Sky Coverage Scatter plot RA vs Dec.
Blue plus signs: sessions available to run
Red crosses: sessions that have been run

4. Frequency History
Scatter plot of the session that have been run for a given frequency and time.
No K-band sessions during the summer  too much water vapor.
Many Q-band sessions during the summer  not effected much by water vapor. Effected by O2 and hydrosols. Also high Trcvr.
Only a few Ka-band during the summer  some effect of water vapor. Lower Trcvr so the atmosphere matters.
Intermediate frequencies and low frequencies are not well balanced in time.

5. Observing Efficiency

6. LST Pressure Factor

7. RA Coverage

8. Frequency Band Pressure Factor

9. Ranking

10. End

11. Frequency Coverage

12. Frequency History

13. Observing Efficiency

14. LST Pressure Factor

15. RA Coverage

16. Frequency Band Pressure Factor