GBT Dynamic Scheduling System (DSS) Dana Balser, Jim Braatz, Mark Clark, Jim Condon, Ray Creager, Mike McCarty, Ron Maddalena, Paul Marganian, Karen O’Neil,

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Presentation transcript:

GBT Dynamic Scheduling System (DSS) Dana Balser, Jim Braatz, Mark Clark, Jim Condon, Ray Creager, Mike McCarty, Ron Maddalena, Paul Marganian, Karen O’Neil, Eric Sessoms, Amy Shelton

Nomenclature Butler GBT Open Sessions Windowed Sessions Fixed Sessions

Observing Scheduling Algorithm Hours in Advance Scheduling Probabilities Post-Observation Reports Data Collection Advance of Semester Reports of schedule, logs, time lost, etc Phase II data collection Sensitivity calculator Time availability prediction Proposal Submission Tool Science grades How does it work? Historical probabilities Weather forecasts Monitor schedule Backup Project run Observing scripts Autoscheduler Run Scheduler modifies and approves Notification sent Provided outside the DSS Provided by the DSS Requirements Scheduling observers, not scripts Observers retain control Minimum of 24 hours advance notice for observers Wide array of hardware Cannot increase workload of staff or observers

Atmospheric Effects Condon & Balser (2011)

Maddalena Weather Forecasts

Atmospheric Stability Maddalena; Balser (2011) Pyrgeometer: non-imaging device sensitive to micron over 150 deg fov.

Wind Effects Condon (2003)

Weather Forecasts: wind Obs Wind Speed (m/s) Forecast Wind Speed (m/s) Day Night Balser (2010); Maddalena

Solar Heating rms 330 micron rms 220 micron Nikolic et al. (2007) Surface Wave front errors from OOF maps. Grayscale: +/- 2 rad Contour: ½ rad intervals Primary Surface Day: 300 micron Night: 250 micron Offset Pointing Day: 3.3 arcsec Night: 2.7 arcsec

R = (ηS P α β P ν γ ) (l eff l HA l z l tr l st ) (f oos f com f sg f tp )(t t t n t le t tb ) Scoring Equation Weather: Observing Efficiency Stringency Pressure Factors: Right Ascension Frequency Performance Limits: Observing Efficiency Hour Angle Zenith Angle Tracking Error Atmospheric Stability Other Factors: Observers on Site Completion of Projects Science Grades Thesis Projects Temporal Constraints: Transit Nighttime LST Exclusion Time Between

R = (ηS P α β P ν γ ) (l eff l HA l z l tr l st ) (f oos f com f sg f tp )(t t t n t le t tb ) Scoring Equation Weather: Observing Efficiency Stringency

Observing Efficiency

Stringency

R = (ηS P α β P ν γ ) (l eff l HA l z l tr l st ) (f oos f com f sg f tp )(t t t n t le t tb ) Scoring Equation Pressure Factors: Right Ascension Frequency

Pressure Factor

R = (ηS P α β P ν γ ) (l eff l HA l z l tr l st ) (f oos f com f sg f tp )(t t t n t le t tb ) Scoring Equation Performance Limits: Observing Efficiency Hour Angle Zenith Angle Tracking Error Atmospheric Stability

Observing Efficiency Limit

Hour Angle Limit Condon & Balser (2011)

Tracking Error Limit

Balser (2011); Mason & Perera (2010) Atmospheric Stability Limit

Packing (Open Sessions) Problem: a thief with a bag of capacity N, faced with a number (M) of possible goodies each having a different weight (cost) and value, how do you pack your bag to maximize your take? Brute Force: order (M!) Knapsack Algorithm: order (M*N) N = number of quarter hours to schedule M = number of potential sessions Overhead = 15 min. Sessoms

Scheduler Page

Schedule

User Home Page

User Project Page

Fini