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: 25% all sky; 75% single source or region (1/3 in Galactic Plane (20% GC) ; 2/3 Extragalactic) 5% GC

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

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

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.

Observing Efficiency

LST Pressure Factor

RA Coverage

Frequency Band Pressure Factor

Ranking

End

Frequency Coverage

Frequency History

Observing Efficiency

LST Pressure Factor

RA Coverage

Frequency Band Pressure Factor