Chandra User’s Committee Meeting (4/15/08) P. Slane (Chandra Mission Planning) Constraint Classifications and the Chandra Long-Term Schedule.

Slides:



Advertisements
Similar presentations
 Chapter 6: Activity Planning – Part 1 NET481: Project Management Afnan Albahli.
Advertisements

Validating Resources in Least Commitment Scheduling Nazma Ferdous & Mark Giuliano Space Telescope Science Institute October 24, 2006.
Chandra User’s Committee Meeting (1/25/05) P. Slane (Chandra Mission Planning) Observing Constraints and Their Impact on Mission Planning.
1 Schedule Risk Assessment (SRA) Overview July 2013 NAVY CEVM.
1 Winter Launch Block Modeling and Results MMS Flight Dynamics Team MIWG 8 Feb. 20, 2014.
Supporting people with a learning disability Introduction to Project Management Presenter: Steve Raw FInstLM, FCMI.
Monitoring and Control
Modeling Choices & Approaches Key Model Outputs: Carbon emissions Other emissions Electricity prices Total electricity system costs Fuel use and diversity.
Commentary on Validating Resource Usage in Least Commitment Planning Authors: Nazma Ferdous and Mark Giuliano Commentary by Rob Sherwood October 2006.
Systems Analysis and Design 9th Edition
Planning under Uncertainty
FOT Mission Planning Prospects and Issues for a Fifteen Year Chandra Lifetime Sabina Bucher 9/18/2007.
Chandra User’s Committee Meeting (6/27/04) P. Slane (Chandra Mission Planning) Constrained and Coordinated Observations Chandra Mission Planning Response.
19 Oct 2005Chandra Users' Committee Cycle 7 Peer Review: June 2005  747 proposals, 12 panels, 101 reviewers  Hilton, Logan Airport.
Chandra X-Ray Observatory CXC Paul Plucinsky CUC September Overall Status of the Instrument 2.Update on Controlling the FP Temperature ACIS Ops.
A Process for the Direct Assessment of Program Learning Outcomes Based on the Principles and Practices of Software Engineering Robert W. Lingard California.
CXC EPHIN Status and Alternatives Michael Juda. CXC EPHIN StatusPage 2 Outline 1.EPHIN description 2.Thermal issues 3.+27V rail anomaly and impacts 4.Operations.
Users' Committee, 25 Oct 2010 Chandra Director’s Office Cycle 12 Peer Review  June 2010, Hilton, Logan Airport  No major changes in Cycle 12 
CXC Manager’s Status Report Chandra User Committee Meeting Roger J. Brissenden 25 June 2002.
Director's Office Chandra Users’ Committee, Sept 2007 Chandra Cycle 9  661 submitted proposals  *5.5 oversubscribed (based on time)  48 LP, 10.
Chandra X-Ray Observatory CXC Paul Plucinsky EPI Cal Update on ACIS Operations I.New Patch for ACIS Flight SW II.Control of the ACIS FP temperature.
© 2008 by Prentice Hall 1 Chapter 2. © 2008 by Prentice Hall 2 Project – a planned undertaking of related activities to reach an objective that has a.
Analyzing the Business Case
4. 2Object-Oriented Analysis and Design with the Unified Process Objectives  Explain the elements of project management and the responsibilities of a.
1 08 January 2015 Stephen Horan Cube Quest Kick-off: Communications Rules PI for Avionics Space Technology Mission Directorate.
CXC Manager’s Status Report Chandra Users’ Committee Meeting Edward M. Mattison 29 June 2004.
Chandra X-Ray Observatory CXC ACIS Ops team October 17, ACIS Changes Starting in Cycle 8 1) Selection of Optional CCDs 2) Revised Energy-to-PH conversion.
Technical Performance Measures Module Space Systems Engineering, version 1.0 SOURCE INFORMATION: The material contained in this lecture was developed.
CHEN RONG ZHANG WEN JUN.  Introduction and Features  Price model including Bayesian update  Optimal trading strategies  Coding  Difficulties and.
Project planning. Software project management Informal definition of management – The art of getting work done through other people Software project management.
Nonlinear Thermal/Structural Analysis of Hypersonic Vehicle Hot Structures NASA Workshop on Innovative Finite Element Solutions to Challenging Problems.
Jonathon Bicknell, IT Co-ordinator from Broom Leys Primary School “The more I use ‘Auditor’ the more I like it! As a full time classroom teacher I get.
Deduction of Fundamental Laws for Heat Exchangers P M V Subbarao Professor Mechanical Engineering Department I I T Delhi Modification of Basic Laws for.
System Planning- Preliminary investigation
CS 360 Lecture 3.  The software process is a structured set of activities required to develop a software system.  Fundamental Assumption:  Good software.
Galactic Bulge Time On Target May These charts examine the compatibility of a 500 day microlensing program with a 6 month SNe observing program.
At A Glance VOLT is a freeware, platform independent tool set that coordinates cross-mission observation planning and scheduling among one or more space.
Venus Observations HST Program Objectives v Explain Venus observing strategy. v Review areas of special concern with Venus observations and explain.
ANTs PI Meeting, Nov. 29, 2000W. Zhang, Washington University1 Flexible Methods for Multi-agent distributed resource Allocation by Exploiting Phase Transitions.
LSU 01/17/2006Spring LaACES Schedule For the semester and the next few weeks.
ISM 5316 Week 3 Learning Objectives You should be able to: u Define and list issues and steps in Project Integration u List and describe the components.
Project Management Part 6 Project Control. Part 6 - Project Control2 Topic Outline: Project Control Project control steps Measuring and monitoring system.
Software Project Management By Deepika Chaudhary.
Yafeng Yin 1, Lei Xie 1, Jie Wu 2, Athanasios V. Vasilakos 3, Sanglu Lu 1 1 State Key Laboratory for Novel Software Technology, Nanjing University, China.
Chapter 3 Project Management Chapter 3 Project Management Organising, planning and scheduling software projects.
Chandra X-Ray Observatory CXC ACIS Ops team December 13, Controlling the ACIS FP Temperature: I.Turning off the DH Heater During Perigee Passages.
GLAST Science Support CenterNovember, 2005 GSSC User Committee Meeting Tools for Mission and Observation Planning Robin Corbet, GSSC
Information System Project Management Lecture three Chapter one
START NICMOS COOLING SYSTEM ACTIVITY SUMMARY. 1/25/01Ken Pulkkinen2 START NCS ACTIVITY Applicable SMOV Requirements: J NICMOS Cooling System.
Local Search and Optimization Presented by Collin Kanaley.
PNISG Update June Xoserve’s UKLP Assessment Principles 1.Maintain current delivery plans where possible and appropriate e.g. don’t just push all.
Dueling Estimates: Closing Thoughts Jennifer H. Madans National Center for Health Statistics.
Unit – I Presentation. Unit – 1 (Introduction to Software Project management) Definition:-  Software project management is the art and science of planning.
Software Development Process CS 360 Lecture 3. Software Process The software process is a structured set of activities required to develop a software.
1 COROT Science Week, Berlin, December 2003 COROT Week 5 Corotweeks' progress reports Operational orbit & its environment (I) Mission constraints.
1 Systems Analysis & Design 7 th Edition Chapter 2.
WEEK 6 Introduction to Project Management. Wk 6 Agenda Verify Hybrid Wk 5 Review Wk 5 ◦ Compressing the Schedule ◦ Risk Identification Techniques ◦ Project.
Adaptable Approach to Estimating Thermal Effects in a Data Center Environment Corby Ziesman IMPACT Lab Arizona State University.
1 Project Management Prof.Dr. Murat Aşkar. Project Management2 l What is a project? What is a project? l Project Phases Project Phases l Project Management.
Development Project Management Jim Kowalkowski. Outline Planning and managing software development – Definitions – Organizing schedule and work (overall.
Systems Analysis & Design 7 th Edition Chapter 2.
Chapter 5: Software effort estimation
The Population of Near-Earth Asteroids and Current Survey Completion Alan W. Harris MoreData! : The Golden Age of Solar System Exploration Rome,
Priority Based Fair Scheduling: A Memory Scheduler Design for Chip-Multiprocessor Systems Tsinghua University Tsinghua National Laboratory for Information.
CHAPTER 2 SYSTEM PLANNING DFC4013 System Analysis & Design.
Mission Planning Updates
The 2011 Chandra Alignment Shift
Software Project Planning &
Proximal Orbit Science Team (POST) Summary
600 MHz – Proposed TV Transition Objectives and Methodology
Presentation transcript:

Chandra User’s Committee Meeting (4/15/08) P. Slane (Chandra Mission Planning) Constraint Classifications and the Chandra Long-Term Schedule

Chandra User’s Committee Meeting (4/15/08) P. Slane (Chandra Mission Planning) +X +Z +Y Chandra Spacecraft EPHIN Fuel lines throughout this area

Chandra User’s Committee Meeting (4/15/08) P. Slane (Chandra Mission Planning) Chandra Observing Constraints Angle range RestrictionReason 0-46 No observationsHRMA Sun aviodance Observations with 6 ACIS chips may be ACIS PSMC temperature limited to ∼ 35 ks unrestricted Observations limited to ∼ 10 ks to substantial EPHIN temperature limitations fraction of full orbit, depending on pitch of current observation and pitch history Unrestricted ∼ 7 to 25 ks duration, depending on length of Propulsion line temperature limitations previous observations at low pitch angle No observationsPropulsion line temperature limitations Cold Good Hot

Chandra User’s Committee Meeting (4/15/08) P. Slane (Chandra Mission Planning) Limits on Constrained Observations New limitations on observer-constraints were derived in order to differentiate between easy and difficult constraints The overall metric is related to the amount of available time to meet a constraint (2) Metric for monitoring is (initial interval)*(fractional tolerance)/(total duration of single observations) (3) Metric for groups is (time interval for group)/(total observing time in group)

Chandra User’s Committee Meeting (4/15/08) P. Slane (Chandra Mission Planning) Breakdown of Approved Constraints QuantityTotalCAL Observations Constrained Observations186*100 Roll Constraints410 Window Constraints6344 Uninterrupt Constraints Monitor Constraints11258 Phase Constraints80 Group Constraints9(85)4(58) Coordinated Observations381 A total of about 11% of non-CAL observations have constraints - this is similar to limits in earlier (but post-EPHIN-heating) years All constrained observations were placed successfully in LTS - a couple had to be modified because the constraints were impossible as specified Most preferences also placed successfully in LTS - those that required significant time at bad pitch, but could otherwise be done at cold attitudes, were not met - note that some preferences may not be met if LTS updates are required (e.g. for TOO/DDT observations or thermal issues with constrained observations) *+20 from joint proposals with HST/Spitzer/XMM

Chandra User’s Committee Meeting (4/15/08) P. Slane (Chandra Mission Planning) 6 pointings, 29 ks each: Window Constraint: :window-constr-start :122:00:00:00 :window-constr-stop :141:00:00:00 :window-constr-start :143:00:00:00 :window-constr-stop :168:00:00:00 :window-constr-start :171:00:00:00 :window-constr-stop :195:00:00:00 :window-constr-start :198:00:00:00 :window-constr-stop :214:00:00:00 Phase Constraint: :phase-epoch 2008:122:03:50:24 :phase-period 000:23:56: :phase-start :phase-start-margin :phase-end :phase-end-margin Uninterrupt Constraint: :seg-max-nbr 1 Monitor Constraint: :pre-min-lead 000:00:00: :pre-max-lead 009:00:00: Issues: Phase constraint designed to provide coordinated observations w/ ground-based telescope Phase constraint + Monitor constraint impossible due to radiation zones Window 1 is in PLine; Window 2 is in PLine/PropLine Solution: PI relaxed constraints until this was feasible Difficult Constrained Observations

Chandra User’s Committee Meeting (4/15/08) P. Slane (Chandra Mission Planning) Difficult Unconstrained Observations Carina Region Almost always at bad EPHIN pitch 1.2 Ms approved over three different Carina regions We get ~20-30 ks of “free” hot time per orbit by cooling in radiation zones - beyond this, we need cold targets to balance EPHIN temperatures - Carina observations use up ~29-44% of this “free” hot time Galactic Center Region At good pitch for about 35 days - this corresponds to about Ms once radiation zones are subtracted 1.6 Ms approved over four different Galactic Center regions - Combined with other targets at good pitch in same time window, some observations forced to be carried out at bad pitch even without observer constraints

Chandra User’s Committee Meeting (4/15/08) P. Slane (Chandra Mission Planning) Overall Assessment The impact of the modified constraint rules is hard to evaluate at this point Difficulty of LTS generation was similar to past several years A review with the Flight Operations Team was required to evaluate ~6 weeks that appear on the edge of being feasible as planned - at least one week that appeared feasible ended up needing modification (because thermal conditions were worse than we estimated) - we may encounter more such problems as the year progresses TOO planning has been very tight in some time periods, with very little flexibility in balancing thermal issues, approved constraints, and TOO/DDT requests - for some DDT requests, initial constraints (e.g. monitoring intervals) have required modification in order to allow schedule to satisfy other constraints (but all such modifications were deemed to have negligible science impact before they were approved) A full assessment of the impact of the new rules will not be possible until we have completed the bulk of the Cycle 9 observations - Note: any such assessment is, like the preliminary assessment presented here, largely subjective since the impact on efficiency is very difficult to assess