Outline - INAF - Osservatorio Astrofisico di Catania · 2014-12-03 · Outline • PLATO science data products • PDC structure, responsibilities, ... Stellar models with various

Laurent Gizon (PDPM) and PLATO Mission Consortium 3 Dec 2014, Taormina

Outline

•  PLATO science data products •  PDC structure, responsibilities, interfaces •  PDC project office and wiki •  Issues, timeline, ongoing work

PLATO DATA CENTRE

2+4 min = 6 7 min = 4 2  Min = 2 4 Min = 5 = 19 min =13

PLATO Ground Segment (PGS) •  Mission Operations Center (MOC, flight-critical) •  Science Operations Center (SOC, mission-critical) •  PLATO Data Center (PDC, science-critical) •  Science Preparatory Activities (scientific

specification of software)

•  The PDC is in charge of the validation, calibration, processing of the PLATO observations.

•  The PDC delivers the final PLATO science Data Products to the SOC. •  PSPM provides the scientific specification of algorithms that run at the PDC.

Data Levels •  Telemetry baseline: 109 Gb/day (8.7 Mb/s during daily 3.5hr window)

•  Level 0: Depacketized light curves and centroid curves plus selected imagettes; for each telescope (32 NT@25s + 2 [email protected]). +House keeping data (temps, instrument status, pointing angles)

•  Level 1: Calibrated light curves and centroid curves for each star (science-ready). Instrumental corrections, such as CCD gain corrections and jitter correction. Analysis of imagettes to validate and optimize performance of on-board treatment. FT are used for fine guidance and navigation.

•  Level 2: PLATO science Data Products, processed by the PDC using algorithms specified by the PSPM

PLATO Science Data Products

L2DP6Confirmed planetary systems and their characteristics

L2DP5Stellar masses and ages

L2DP4Stellar rotation and activity

L2DP3Asteroseismic mode parameters

L2DP2Planetary transits and their parameters

L1DP1Calibrated light curves and centroidcurves

For most stars For most cool stars For cool stars with mV<11

Rp/Rs from transits Rs from Gaia Mp/Ms from RV Ms/Rs^3 from seismo Age from seismo

Data Policy (baseline from 2011)

•  L1 data will be publicly available by the SOC once they are validated by the SOC, following a procedure to be defined by the PST (days to a few months)

•  L2 data (depend on additional observations) will be made publicly available by the SOC in a timely manner, and no later than the acceptance for publication of the first refereed papers based on them.

•  Baseline: Following a call for proposals, a small number of targets will be exclusively available to the PLATO-involved scientists (i.e. members of the PMC, the PST, and ESA scientists) for a period of one year after the corresponding L1 data have been validated and made available to them by the SOC

•  Issue to be worked out: data policy wrt follow-up observations

PDC Work Breakdown Structure (Top-Level)

Preparatory & FU DB Management

12 countries involved ~ 200 work packages 55M (26M) cost to launch

System Architecture & Management: WP31 Coordinator is Raymond Burston (MPSSR)

Designs and manages data structure, data flow, and data integrity

Two main PDC processing cycles: Two-weekly cycle. Triggers downlink of the imagettes of cand ida te p lane ts and triggers ground-based follow-up of objects of interest. A full update of the science data products will be made available every three months.

Data Processing Algorithms: WP32 Coordinator is Réza Samadi (LESIA) Definition of on-board & on-ground data treatment algorithms (up to L1)

•  Telemetry: 109 Gb per day (3.5 hr per day, each day, 8.7 Mb/S) –  Light curves and centroid curves for all 32 NT and 2 FT –  Imagettes: 6x6 pixels for NT (several 1000) and 9x9 pixels for FT (40) –  House keeping (e.g. temperatures and voltages)

•  Smearing (trailing) – board •  Background (sky background, scatter light) – board •  Confusion (pollution due to the contaminants) – board (masks) •  PSF modeling across the field (using imagettes) – ground •  Differential aberration - board & ground (relativistic effect on star line of sight) •  Outliers (glitches, proton impacts) - board & ground •  Satellite Jitter – ground •  Flux calibration – ground (gain of the electronic chains, quantum efficiency of CDDs)

•  Long-term effects – ground (CCD ageing effects, long term temperature variations)

Instrumental and environmental effects and their correction, leading to L1

Data Processing Development Support: WP33 Coordinator is Laurent Gizon (MPSSR)

In collaboration with ESAC (Larry O’Rourke), WP33 turns algorithms from WP32 into core-processing software that will run at the SOC. •  Requires a good understanding of system interfaces with SOC

and operational procedures •  Compliant with ECSS standards for development, product

assurance, management and all the compliant standards

Input Catalogue: WP34 Coordinator is Paolo Giommi (ASDC) Technical support for Target/Field Characterization and Selection (WP13) to generate the PLATO Input Catalogue; WP34 delivers the validated PIC to the PDC-DB

The Input Catalog includes

•  Basic information about targets •  Including list of contaminants •  Cross-match reference tables

for targets and contaminants

Giampaolo Piotto -- TALK

Preparatory and FU DB Management: WP35 (ex-Ancillary Database Management)

Coordinator is Magali Deleuil (LAM) •  Assembles and formats preparatory and follow-up

observations on PLATO targets provided by WP14 •  Support for on-board processing, on-ground

calibration, and scientific data analysis

Stephane Udry TALK

Exoplanet Analysis System: WP36 Coordinator is Nic Walton (IoA) Algorithms specified by WP11 under Don Pollacco

•  Transit candidates and their parameters (DP2) –  List of transit candidates –  Ranking of candidates according to planet likelihood (à TALK Deleuil) –  Basic characteristics of the transits (depth, duration, period, and ephemerids)

•  Planetary systems and their characteristics (DP6) –  List of confirmed planets, using follow-up observations and/or transit timing

variations –  Planet parameters: orbital parameters, planet size, mass (from RV follow up,

density, age (from central stars) –  Any additional characterization of planet properties from follow-up observations

(e.g. atmospheres if available) and light curves analysis –  Potentially several hundreds of planetary systems for which the seismology of the

central stars is possible

Exoplanet Analysis Pipeline: Operational Cycle

Stellar Analysis System: WP37 Coordinator is Thierry Appourchaux (IAS)

Goal: Stellar radius and mass to a few % Stellar age to 10% of MS lifetime

PSPM: Marie-Jo Goupil Algorithms Stellar models with various input physics

TALK

From oscillations to stellar parameters

1) Scaling rela-ons 2) Grid method 3) Detailed modelling

M, R, age

Δν, νmax [Fe/H] log(g) Teff

ν1,…, νn [Fe/H] log(g) Teff, ...

M, R, age

Difficulty Precision

M, R

Δν νmax Teff

21

3

/

⎟⎠

⎞⎜⎝

⎛∝ΔRMν

eff2ac TRMνν ∝∝max

Data Analysis Support Tools: WP38

Coordinator is Matthias Ammler-von Eiff (MPSSR)

•  Tools to assist PMC scientists to scientifically validate PLATO Data Products on a case-by-case basis and update ranking of planetary systems.

•  Tools for scientific validation, e.g. replay automatic processing pipelines for a given target.

•  Tools for search, statistical analysis and data mining of large samples

•  Tools to provide feedback to mission planning and L2 pipes

PDC Project Office

•  Email: [email protected]

•  Members

– PDPM: Laurent Gizon

– PDC Project Office Manager: Raymond Burston

– PDC Project Office Manager Deputy: Valerian Chifu

– PDC Risk Management: Matthias Ammler-von Eiff

– PDC Cost Monitoring: Michal Svanda

•  PDC Wiki http://www2.mps.mpg.de/services/plato/wiki/index.php

PDC Wiki

•  PDC Calendar

•  PDC WBS

•  Action Items

•  Meetings

•  Timeline

•  Documents

•  Figures

•  Request account now if

you don’t have one

•  Bookmark the page

http://www2.mps.mpg.de/services/plato/wiki/index.php

PDCR = PLATO Payload Development and

Consolidation Review

On-going work

•  Interfaces PDC/PSPM for PIC and for follow-up activities •  Automatic vs. case-by-case ranking of planet candidates •  Interfaces PDC/SOC: developing software in common •  Operational role of Instrument Team during commissioning and

operations •  Simulation concept (cf. Cambridge meeting) •  Coherent development plan for PDC and PSPM

•  Updates to ESA’s SOCD, SIRD, SciRD, SMP (incl. FU) •  Regular update of PMC’s WBS, WPDs, SIP, costs •  Document management system

•  PDC will keep open the PDC wiki to deal with day-to-day affairs •  Centralized documentation system to be set up at DLR-Berlin

Towards the Operational System Phase B1 activities ought to address •  Algorithmic complexity, evolution from current knowledge taking

into account the expertise in PSPM from CoRoT and Kepler results.

•  Computational complexity – number of targets, data richness •  Data challenges – managing the data flows, considerations of

volume if more data (K-band option) is downlinked •  People challenges – automation and final manual review and

ranking of planetary systems

Ten years to create an effective discovery pipeline!

Thank You

Simulations ? Gaia concept -- 3 kinds of simulators are needed:

One simulating image level data, i.e. raw samples, including detailed instrumental effects and user-defined astrophysical inputs (cf. PLATOSim) à useful to investigate specific issues and validate algorithms on a small scale (i.e. with limited-in-size but quite realistic data)

One simulating telemetry as downloaded from the satellite, with simplified instrumental effects and astrophysical inputs à useful to generate large-volume datasets to be used in end-to-end tests, involving all systems

one simulating intermediate data products as produced by different systems (e.g. PDPCs) or different steps in the data processing. à  Useful for downstream systems, which ended up not participating to the end-to-end tests (due to

the simulated data being too simplistic to trigger them or to delays in the testing schedule).

S/C to Ground

•  Used for fine guidance and navigation •  Useful for decontaminating occultation depth measurements •  Used to compute mean molecular weight of planetary atmospheres •  Identification of potential blend scenarios in EAS

The PDC supports the SOC in the production of theL1 data by carrying out the following tasks:

Calibration of the scientific data, based on the calibration procedure and calibration data provided by the instrument team, for implementation into the L1 processing pipeline Definition of algorithms and support to the implementation of modules to monitor the scientific integrity and health of the observations Definition of algorithms and implementation of modules in the data analysis system for the removal of instrumental effects and generation of L1 data. Provision of input to the scientific quality control software and procedures. Provision of the necessary algorithms and tools for the optimization of the onboard processing. Provision of tools and support to simulate, test and validate the L0 to L1 processing pipeline.”

16 Cyg A

The Sun

Δν

νmax

From oscillations to stellar parameters

1) Scaling rela-ons 2) Grid method 3) Detailed modelling

M, R, age

Δν, νmax [Fe/H] log(g) Teff

ν1,…, νn [Fe/H] log(g) Teff, ...

M, R, age

Difficulty Precision

M, R

Δν νmax Teff

21

3

/

⎟⎠

⎞⎜⎝

⎛∝ΔRMν


21

3

/

⎟⎠

⎞⎜⎝

⎛∝ΔRMν


Ideal gas Adiaba-c Oscilla-ons Isothermal Atmosphere

Tassoul (1980) Brown et al. (1991)

1) Scaling rela-ons

PDC WBS Doc.: PLATO_PDC_WBS.ppt

Author: L. Gizon Page 30 of 10 3 December 2014

PDC WBS

DE FR

DE

301 000 PDC Project

Office Manager MPSSR R. Burston

300 000

PDC Management MPSSR L. Gizon (PDPM)

DE

370 001 PDPC-I

370 000 Stellar Analysis

System

IAS T. Appourchaux

310 001 PDC-DB

310 000 System

Architecture and Management

MPSSR R. Burston

DE 330 000

Data Processing Development

Support MPSSR L.Gizon

FR

350 001 PDPC-L

380 001 PDPC-M

FR IT UK DE 380 000

Data Analysis Support Tools

MPSSR M. Ammler-von Eiff

320 000 Data Processing

Algorithms LESIA R. Samadi

360 001 PDPC-C

360 000 Exoplanet Analysis

System IoA-Cam N. Walton

340 001 PDPC-A

340 000 Input Catalogue

ASDC-ASI P. Giommi

DPS (payload) Data Processing Algorithm WG

350 000 Preparatory & FU

Database Management

LAM M. Deleuil

Main updates since Sep 2013 in red

Page 13 of 9 4 November 2014

301 200

PDC Configuration Management

MPSSR Chifu

301 100

PDC Scheduling

MPSSR Burston

301 400

PDC Cost Monitoring

AUUK Svanda

301 300

PDC Risk Management

MPSSR Ammler-von Eiff

300 001 PDC Product & Quality

Assurance MPSSR Müller

300 000

PDC Management

MPSSR L. Gizon (PDPM)

301 000 PDC Project Office

Manager MPSSR Burston

301 001 PDC Project Office

Deputy MPSSR Chifu

331 000

Preparation Tools

CAUP Santos

331 100 Target List Preparation

CAUP Santos

331 200 Mask Preparation

Tools CAUP Santos

331 300

Simulation Tools

CAUP Santos

332 000

On-board Processing Monitoring

Tools Being taken care of

332 100 Monitoring Tools Implementation

Being taken care of

332 200 Parameter

Optimization Tools

Being taken care of

333 000

L1 Pre-processing Software

Development Support

Being taken care of

334 000

L1 Processing Software

Development

LESIA Grolleau

334 100 Instrumental Corrections

LESIA Mosser

334 300 Outlier Rejection

MPSSR Chifu

334 500 Detrending

Warwick West

334 200 Jitter Correction

LESIA Barban

334 400 Light & Centroid Curve Averaging

Support LESIA Samadi

337 000

Interfaces

MPSSR Gizon


335 000

PDC Development

Systems

MPSSR Burston

335 100

Integration

MPSSR Michels

335 200 Tests &

Validation MPSSR Bruns

337 300 SOC-MOC

Interface Support MPSSR Schou

337 100 PDC <-> SOC

Interface MPSSR Burston

337 200 L1 <-> L2 Data

Format MPSSR Birch

338 000

Contribution to End-to-

End Testing

MPSSR Burston

336 000

On-board & L1 Data

Simulation

Leuven De Ridder

334 600 Science Flux Alerts MPSSR Schou

330 001

Quality Assurance

MPSSR Müller

334 700

PSF Modelling

MPSSR Gizon

330 000

Data Processing Development Support

MPSSR Gizon

350 000

Preparatory & Follow-Up Database Management

LAM Deleuil

351 000

Interfaces

LAM Deleuil

352 000

Science Data Management

LAM Deleuil

353 000

Infrastructure

LAM Fenouillet

354 000

Information System

LAM Moreau


351 200 Interface with

WP 130 LAM Moutou


WP 140 LAM Diaz


WP 160 Vienna Guedel


WP 310 LAM Meunier

352 100

Science Validation

LAM Deleuil

352 200

Inputs Validation

LAM Deleuil

352 300 Extraction Validation

LAM Deleuil

353 100

Storage

LAM Fenouillet

353 200

Services

LAM Fenouillet

354 100

Database

LAM Moreau

354 200 Technical Interfaces

LAM Moreau

350 001

PDPC-L

LAM Meunier

353 300

Support

LAM Fenouillet

354 300

GUI

LAM Moreau

355 000

Management Tools

LAM Meunier

355 100

Analysis Tools

LAM Meunier


WP 120 Liege Morel

355 110 Data Mining Tools

LAM Meunier

355 120 Extraction Tools

LAM Meunier

355 200 VO Compliance

and Services LAM Meunier

370 000

Stellar Analysis System

IAS Appourchaux

371 000

Planning & Management

IAS Ballans

371 100 Operational

Requirements IAS Ballans

371 200 Design of Workflows

IAS Ballans

372 000

Power Spectrum Analysis Tools

IAS Appourchaux

372 100 Average Sesimic Parameter

Measurement Tools Birmingham Chaplin

372 200

Mode Fitting Tools IAS Appourchaux

374 000

Stellar Modelling Tools

AAU Aguirre

374 100 Model Grid Acquisition

CAUP Bazot

374 200 Seismic Diagnostics

& Tools QMUL Roxburgh

374 310 End-Product Guarantee Granada Suarez

374 300 Data Products 5

AAU Kjeldsen

374 400 Simulations &

Validations MPSSR Schou

373 000

Stellar Rotation & Microvariability

Measurement Tools IAS Baudin

373 200 Rotation & Activity

Analysis Tools CEA Garcia

373 300 Spot Distribution

Measurement Tools Meudon Mosser

372 210 Solar-like Stars

IAS Appourchaux

372 230 Multiple Stars

LATT Ballot

372 240 Ensemble Fit

Saclay Garcia

372 220 Solar-like Stars with Planets MPSSR Gizon

372 400 Simulations & Validations

MPSSR Schou

373 500 Simulations &

Validations MPSSR Schou


374 210 Forward Tools

Birmingham Miglio

374 220 Inversion Tools

LESIA Goupil

372 300 Data Products 3

IAS Appourchaux

373 400

Data Products 4

IAS Baudin

373 100

Stellar Background

IAS Boumier

371 300 Development

System IAS Ballans

370 001

PDPC-I

IAS Appourchaux

375 000

L1 Correction from known Transits

IAC Alonso

372 250 Red giants

Birmingham Chaplin

372 260 Heat-Driven Pulsators

Leuven Aerts

380 000

Data Analysis Support Tools


386 100 Interfaces to Databases


381 000

Documentation Management

MPSSR Chifu

386 200 Interfaces to Tools


382 000

Exoplanet Support Tools LAM Chabaud

383 000

Stellar Support Tools

MPSSR Schou

384 000

Search & Statistical Tools MPSSR Ammler-

von Eiff

385 000

VO Activities

Warwick West

386 000

Internal PDC Website


385 100 Compliance

with VO Standards

INTA Solano

385 200 VO Services Development

INTA Solano

385 300 VO Tools

Development Warwick West

384 100

Data Mining


384 200

Statistical Analyses


384 300 Feedback to L2

Processing MPSSR Schou

386 300 Alerts &

Information for Users



386 400 Information for FU

Observers

Warwick Pollacco


Exoplanet Processing

LAM Chabaud


Stellar Processing

MPSSR Schou

387 000

Feedback to Planning of

Observations MPSSR Schou

380 001

PDPC-M

MPSSR Bruns

PDC Wiki

•  PDC Calendar

•  PDC WBS

•  Action Items

•  Meetings

•  Timeline

•  Documents

•  Figures

PDC Wiki

•  PDC Calendar

•  PDC WBS

•  Action Items

•  Meetings

•  Timeline

•  Documents

•  Figures

http://www2.mps.mpg.de/services/plato/wiki/index.php

Example WPD for development phase •  PMC SIP and WPDs need to be

updated for PDCR •  PDC WPDs will be sent to PDC

WP leaders to apply essential updates

•  basic updates already applied by PDC office (e.g. dates of mission phases)

•  to be updated: •  key personnel •  institutions •  milestones (new timeline!)

Previous PDC meetings and telecons: (some notable points)

•  PLATO Algo meeting in Paris (5-6 Nov) (every 3 months in future) •  on-board algorithms to be evaluated early •  discussed interfaces with instrument/payload teams and PSPM •  use of an extended download bandwidth was studied (K band) •  noise budget critically depends on fields chosen (contaminants!)

•  PIC meeting in Padova (21 Nov) •  WP 36/11 meeting in Cambridge (24-25 Nov):

•  Study of stellar activity: How to share the work? •  Overall concept for simulations needed •  Gaia experience is very useful for developing the processing systems •  central repository for all documentation will be needed

Future PDC meetings

WP31 meeting early next year (to define technical interfaces internal to PDC and PDPCs)

WP32 Algo next meeting in early 2015 WP36 face-to-face meeting in March/April 2015