PLATO Main Electronics Units (MEU) based on inputs from P. Plasson and the system team J. Miguel Mas-Hesse Centro de Astrobiología (CSIC-INTA)

Slides:



Advertisements
Similar presentations
Plato at ASI Tues 05/May/09Dave Walton Plato meeting Rome Tues 5/May/09 Focal Plane Dave Walton UCL/MSSL, + Leicester University Miguel Mas INTA/CAB +
Advertisements

1 M. Auvergne. Natal October 2004 Instrument performances. Signal perturbations: Radiations. Scattered light. ACS. Temperature. Readout electronic. Calibrations.
SECCI/COR2 Status Report SECCHI CONSORTIUM MEETING D. Socker, S. Plunkett, A. Vourlidas.
PPLC/ESA meeting, Feb 27th 2009 Gérad Epstein Patrick Levacher. OVERALL PAYLOAD CONCEPT TRADE-OFFS AT SYSTEM LEVEL PLATO.
1 NGAO Instrumentation Studies Overview By Sean Adkins November 14, 2006.
14/06/20151 MORE Requirements seen from ESA Pedro Pablos 1 st MORE Team Meeting 27 Febrero 2007.
WBS & AO Controls Jason Chin, Don Gavel, Erik Johansson, Mark Reinig Design Meeting (Team meeting #10) Sept 17 th, 2007.
SDW20051 Vincent Lapeyrère LESIA – Observatoire de Paris Calibration of flight model CCDs for CoRoT mission.
PLATO kick-off meeting 09-Nov-2010 PLATO Payload overall architecture.
PLAnetary Transits and Oscillations of stars Thierry Appourchaux for the PLATO Consortium
P09651 – Visible Spectrum Imaging System Lead: Dave Lewis Brian Russell Aditi Khare.
Computer Basics Flashcards #2
A Primer on Image Acquisition and Data Reduction Using TheSky6, CCDSoft V5 and Microsoft Excel Thomas C. Smith Dark Ridge Observatory (DRO)
Agile: A Time-Series CCD Photometer to Study Variables Anjum Mukadam, Russell Owen, Ed Mannery University of Washington, Seattle.
PLAnetary Transits and Oscillations of stars PLATO Consortium kick-off meeting.
Proposed US Contribution to the Wide Field Imager PSU MIT JHU.
Solar Probe Plus FIELDS ICU/FSW Peter R. Harvey Dorothy Gordon –ICU Will Rachelson – FSW Dec 1, 2012.
Naoyuki Tamura (University of Durham) Expected Performance of FMOS ~ Estimation with Spectrum Simulator ~ Introduction of simulators  Examples of calculations.
ICU TEAM R. Cosentino, E. Pace, M. Focardi, S. Pezzuto, M. Pancrazzi, A. M. Di Giorgio.
1st Eddington Workshop. Córdoba, June 14th, 2001 J. Miguel Mas-Hesse 1 EddiCam: The Eddington Photometric Camera Preliminary design.
The Gaia mission Data reduction activities in the UK Floor van Leeuwen, IoA.
PACS IBDR 27/28 February 2002 PACS DEC/MEC1 Detectors & Mechanisms Controllers (DEC/MEC) J.-M. Gillis Centre Spatial de Liège (B)
Advanced Concepts & Science Payloads Office Eddicam/EST MeetingPage 1 CCD Procurement Schedule driven Review off-the shelf availability Specific mode of.
Data processing group. General study of data processing architecture: - overall definition of the data processing functions - share of tasks between on-board.
The Field Camera Unit Project definition, organization, planning S. Scuderi INAF – Catania.
Presentation EddiCam consortium, FF, Madrid 13/06/2002 Eddington programmatic status Fully approved by SPC as part of ESA’s science program as project.
MASSACHUSETTS INSTITUTE OF TECHNOLOGY NASA GODDARD SPACE FLIGHT CENTER ORBITAL SCIENCES CORPORATION NASA AMES RESEARCH CENTER SPACE TELESCOPE SCIENCE INSTITUTE.
1 CO1552 Web Application Development The Web Design Process.
LOGO SMS Project Final Report 1. LOGO Contents Introduction 1 Hardware & Software 2 Mechanism 3 Experiments and results 4 2 Conclusion 5.
The Eddington Photometric Camera Working Group Eddington System Studies WG meeting ESA - HQ November 20 th, 2002 revised on Nov. 28th CAB W G.
EddiCam: The Eddington Photometric Camera EddiCam Definition Phase Kick-Off Meeting J. Miguel Mas-Hesse Vienna, 17th Sept., 2001.
N A S A G O D D A R D S P A C E F L I G H T C E N T E R I n s t r u m e n t S y n t h e s i s a n d A n a l y s i s L a b o r a t o r y Earth Atmosphere.
IVC : a simulation and model-fitting tool for optical-IR interferometry Abstract I present a new software tool, called “Interferometry Visibility Computations”
Paul Alexander & Jaap BregmanProcessing challenge SKADS Wide-field workshop SKA Data Flow and Processing – a key SKA design driver Paul Alexander and Jaap.
SpaceWire Plug-and-Play: A Roadmap Peter Mendham, Albert Ferrer Florit, Steve Parkes Space Technology Centre, University of Dundee 1.
 PLATO PLAnetary Transits & Oscillations of stars Data onboard treatment PPLC study February 2009 on behalf of Reza Samadi for the PLATO data treatment.
1 Leonardo Pinheiro da Silva Corot-Brazil Workshop – October 31, 2004 Corot Instrument Characterization based on in-flight collected data Leonardo Pinheiro.
PLATO Data Center: Purpose and Structure Laurent Gizon (PDPM) Hamed Moradi (PDC Project Office)
PACS IBDR 27/28 Feb 2002 PACS Data Flow1 PACS Data Flow, Instrument Modes and Operations Helmut Feuchtgruber MPE.
1Corot Science Week, Berlin, December 2003 Inside the COROT machine Overview of global loop for COROT operations Description of COROT Subsystems.
GE+ PL INTERFACES, RESSOURCES PLATO PPLC/ESA meeting, Feb 27th 2009.
PACS IBDR 27/28 Feb 2002 PACS PI Summary1 Where we are and where to go… A. Poglitsch MPE.
Serial Data Link on Advanced TCA Back Plane M. Nomachi and S. Ajimura Osaka University, Japan CAMAC – FASTBUS – VME / Compact PCI What ’ s next?
Field Programmable Port Extender (FPX) 1 Modular Design Techniques for the FPX.
Humble Hubble Team 18 Tim Brown. Abstract The proposed project is a self-aiming telescope. This telescope will obtain its global position and the local.
Click once to reveal the definition. Think of the answer. Then click to see if you were correct. HARDWARE Physical parts of the computer.
PPLC – ESA FEB 27th 2009 CCD thermal specs G Epstein CCD thermal specifications Divers for Telescope thermal architecture.
SDR 7 Jun Associated Electronics Package (AEP) Curtis Ingraham.
1 Transiting Exoplanet Survey Satellite Daryl Swade Archive Team Meeting June 16, 2014.
September 30th, 2008 Patrick Levacher. Plato Instrument System Group.
Tracing the JWST Proposal from User Interface to Commanding of an Instrument Margaret Meixner & WIT Balzano, Robinson & CMD.
Jian Gui WANG Bragg Institute Meeting Java Algorithm Library Dec Java DRA Algorithm Library For Opal Neutron Scattering Data Analysis Team Jian.
PLATO Focal Plane Assemblies (FPA) Roser Urquí Centro de Astrobiología (CSIC-INTA)
The Field Camera Unit Results from technical meeting S. Scuderi INAF – Catania.
Brazilian Tunable Filter Imager (BTFI) Preliminary Design Review (PDR)‏ USP-IAG Universidade de São Paulo 18-19th June 2008 Fernando Luís Fontes Emulator.
Plato Consortium Kickoff Meeting, Paris 1 09-Nov-2010 Plato CCD and Front-End Electronics Dave Walton UCL/MSSL
Notes on visit to Rome 28/04/2014 Christian Joram Szymon Kulis Samir Arfaoui.
Summary of IAPP scientific activities into 4 years P. Giannetti INFN of Pisa.
Backprojection Project Update January 2002
Technical Resource Allocations
P07203 Dynamometry Laboratory Infrastructure
Instrument Characterization: Status
Operating System Design
Operating System Design
CubeSat vs. Science Instrument Complexity
Operating System Design
INTRODUCTION TO COMPUTERS
KICK OFF meeting - project presentation
Instrument Overview Larry Springer HMI Program Manager
The Image The pixels in the image The mask The resulting image 255 X
Presentation transcript:

PLATO Main Electronics Units (MEU) based on inputs from P. Plasson and the system team J. Miguel Mas-Hesse Centro de Astrobiología (CSIC-INTA)

PLATO Kick Off November 2010J. Miguel Mas-Hesse2 On-board data processing: Introduction Stellar fieldPLATO image DPS goal: automatically process and extract accurate stellar light curves from the raw, messy CCD images.

PLATO Kick Off November 2010J. Miguel Mas-Hesse3 On-board data processing: baseline concept The normal-telescopes onboard data processing system will be formed by: –4 CCD + 1 FEE per focal plane (telescope) 32 telescopes –1 Data Processing Unit (DPU) per 2 focal planes 16 DPU boards –4 DPUs per 1 Main Electronics Unit (MEU) 4 MEU boxes –1 Instrument Control Unit (ICU) per 4 MEUs 1 ICU (+ 1 fully redundant ICU)

PLATO Kick Off November 2010J. Miguel Mas-Hesse4 On-board data processing: architecture 1 N-DPU for 2 N-cameras F-cameras

PLATO Kick Off November 2010J. Miguel Mas-Hesse5 On-board data processing: architecture Present MEU baseline concept: + 1 DPU per 2 focal planes + 1 single DPU PSU box, external to the MEU’s To ICU-MTo ICU-R SpW

PLATO Kick Off November 2010J. Miguel Mas-Hesse6 PLATO MEU: FEE – DPU SpW link FEE – DPU link baseline: –2 SpaceWire links per FEE (100 Mbps) Alternative: –1 SpaceWire link per FEE (200 Mbps) Feasibility has to be demonstrated. SpW 100 Mbps

PLATO Kick Off November 2010J. Miguel Mas-Hesse7 On-board data processing: architecture

PLATO Kick Off November 2010J. Miguel Mas-Hesse8 On-board data processing: architecture

PLATO Kick Off November 2010J. Miguel Mas-Hesse9 PLATO MEU: operation Window Extraction up to stars / 25 sec Fullimage Acquisition x 8 2 images / 6.25 sec Data correction and LC extraction Masks & window positions updating 6.25 sec 6.25 sec 6.25 sec 5400 sec Target count for 2 x 4 CCD per DPU (to be processed every 25 sec.): Nominal sample 2x( stars/telescope) = stars/DPU Extended sample (+50% margin) = stars/DPU Background win.2 x 400 Imagettes up to 2 x Offset windows2 x 2 x 4 half-row (2.255 pixels) Smearing rows 2 x 4 x 10 overscan rows Total memory requirement, including 50% margin on star count: 250 Mbytes per DPU

PLATO Kick Off November 2010J. Miguel Mas-Hesse10 PLATO MEU: CPU load The CPU load has been estimated for various processors, based on current baseline for number of stars + extraction algorithms. At this phase the %CPU load should be ≤ 50%. The present concept seems feasible, but: –with 1 DPU/2 telescopes, no margin on star counts acceptable. –with 1 DPU/telescope an extended sample with +50% margin in star counts could be considered, if required.. Weighted mask photometry assumed

PLATO Kick Off November 2010J. Miguel Mas-Hesse11 PLATO MEU: open points Backup concept: + 1 DPU board per telescope + 4 DPUs per MEU + 8 MEU More powerful, but too heavy

PLATO Kick Off November 2010J. Miguel Mas-Hesse12 PLATO MEU: open points BaselineAlternative Number of telescopes per DPU 21 MEU-PSU1 MEU-PSU box for 4 MEU boxes 4 MEU-PSU inside each MEU box FEE / DPU number of SpaceWire links 2 SpaceWire links per FEE (100 Mbps) 1 SpaceWire links per FEE (200 Mbps) FEE  DPU image transfer mechanism and protocol RMAPDMA transfer tables DPU Boot mechanismBoot Software in PROMPure RMAP hardware boot

PLATO Kick Off November 2010J. Miguel Mas-Hesse13 PLATO: next steps The industrial MEU definition study is starting now. Goals: –Definition and dimensioning of the N-DPUs Global architecture, choice of processors, number of SpaceWire data links, location of PSUs, mass, power comsumption,… Trade off on algorithms potential increase of complexity – Development of simulators/breadboards for critical interfaces Spacewire link FEE – DPU Final design within mass and power budgets, but compliant with scientific requirements!