/
1 Data simulations / Community challenges 1 Data simulations / Community challenges

1 Data simulations / Community challenges - PowerPoint Presentation

test
test . @test
Follow
398 views
Uploaded On 2016-07-13

1 Data simulations / Community challenges - PPT Presentation

Stephan Birkmann Jeff Valenti 2 Simulator uses Create simulator Performance Description Release simulated data Organize data challenge Release simulator 3 Agree on simulation g ID: 402693

challenges data inputs simulation data challenges simulation inputs read recover types observing build input ability step time product proposals

Share:

Link:

Embed:

Download Presentation from below link

Download Presentation The PPT/PDF document "1 Data simulations / Community challenge..." is the property of its rightful owner. Permission is granted to download and print the materials on this web site for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.


Presentation Transcript

Slide1

1

Data simulations / Community challenges

Stephan

Birkmann

/ Jeff ValentiSlide2

2

Simulator uses

Create

simulator

Performance

Description

Releasesimulateddata

Organizedatachallenge

ReleasesimulatorSlide3

3

Agree on simulation

g

uidelines

Science inputse.g., simulated spectrum, parameter space

Operational assumptions (the “rules”)e.g., reset, read, readInstrumental effects to consider

e.g., photon noise, read noise, intra-pixel, …Presentation of resultse.g., PPM vs. wavelengthSlide4

4

Performance

d

escription

examples

PPM vs. wavelength6

-hr clock time  1 hrR=700 bin

 R=100Slide5

5

How to agree

on simulation

guidelines?

(Very) small working group?1-2 participants per IDT

when?Slide6

6

Types of data challenges

Types of simulated data

Raw images

Instrument artifactsR

educed spectroscopy/photometryModel constraintsTypes of analysesRecover inputs with knowledge of inputRecover inputs from blind analysisSlide7

7

(Benefits of data challenges)

(Build community support)

We are beyond this point

(List key factors that affect experiment)

Data quality issuesModel parametersProduct of simulation step(Build familiarity with ground system)Standard data productsObserving templates

Product of simulation stepSlide8

8

Benefits of data challenges

Formulate observing strategy based on...

Ability to remove known instrumental effects

e.g., persistence, ghosts, jitterOnly useful until real data are released

Ability to recover input model parameterse.g., composition, thermal structureUseful throughout mission lifetimeInform TAC

Allocate observing time wiselyFacilitate pipeline algorithm developmentSlide9

9

Participation in data challenges

Advantages

Craft

better proposalsBecome a recognized expertAdvertise instrument

capabilities(Obtain funding)DisadvantagesMay help competing proposalsRequires significant effortSlide10

10

Which must be done? Would you participate?

Create

simulator

Performance

Description

Releasesimulateddata

Datachallenge

Releasesimulator