Workshop: First look, Calibrations & RV standard IAP

Slides:



Advertisements
Similar presentations
1 st post launch SCIAMACHY calibration & Verification Meeting L1b Astrium Friedrichshafen – Germany 24 July 2002 First Level 1b Spectral Calibration analysis.
Advertisements

CALIBRATION WRINKLES Project OBJECTIVE: Test techniques for improving echelle-mode wavelength  scales of STIS, solar-system’s premier high-res UV.
GENIUS kick-off - November 2013 GENIUS kick-off meeting The Gaia context: DPAC & CU9 X. Luri.
CHAPTER 21 Inferential Statistical Analysis. Understanding probability The idea of probability is central to inferential statistics. It means the chance.
Precision Spectroscopy: some considerations S. Deustua STSCI 2014 STSCI Calibration Workshop 1.
Cross-correlation Cross-correlation function (CCF) is defined byscaling a basis function P(X i ), shifted by an offset X, to fit a set of data D i with.
Visual Tracking: Case Study CMPUT 615 Nilanjan Ray.
Forecasting JY Le Boudec 1. Contents 1.What is forecasting ? 2.Linear Regression 3.Avoiding Overfitting 4.Differencing 5.ARMA models 6.Sparse ARMA models.
Doppler signatures in EVE spectra, and flares H. Hudson, T. Woods, P. Chamberlin, L. Fletcher, and D. Graham The Extreme-ultraviolet Variability Experiment.
Near & Long Term Planet Searches (not a review) S. R. Kulkarni California Institute of Technology.
RVS First Look ( WP6200) J.-M. Désert, G. Hébrard, A. Lecavelier, R. Ferlet, A. Vidal-Madjar Institut d’astrophysique de Paris (IAP) Workshop RVS Calibration.
Compilation of stellar fundamental parameters from literature : high quality observations + primary methods Calibration stars for astrophysical parametrization.
Proper-Motion Membership Determinations in Star Clusters Dana I. Dinescu (Yale U.)
Processing Status June 2009 Mary Williams Padova Meeting, 11/06/09.
Chapter 12 Spatial Sharpening of Spectral Image Data.
Numerical Grid Computations with the OPeNDAP Back End Server (BES)
Spring School of Spectroscopic Data Analyses 8-12 April 2013 Astronomical Institute of the University of Wroclaw Wroclaw, Poland.
PACS CoP & PV Review 21/22 Jan 2009 PVSpecWave1 Spectrometer Wavelength Calibration XHSPOT Proposal: PVSpecWave H. Feuchtgruber.
Die Vermessung der Milchstraße: Hipparcos, Gaia, SIM Vorlesung von Ulrich Bastian ARI, Heidelberg Sommersemester 2004.
Determination of nuclear SB ages in Seyfert galaxies Torres-Papaqui J.P., INAOE Mexico, Terlevich R.J., INAOE Mexico, Terlevich E., INAOE Mexico, and Bressan.
Taylor Series & Error. Series and Iterative methods Any series ∑ x n can be turned into an iterative method by considering the sequence of partial sums.
Ground based observations for Gaia 2001 : need to have reference stars to calibrate AP algorithms for Gaia i.e. stars with well-known APs that will observed.
Chapter Nine Copyright © 2006 McGraw-Hill/Irwin Sampling: Theory, Designs and Issues in Marketing Research.
Atomic Spectroscopy for Space Applications: Galactic Evolution l M. P. Ruffoni, J. C. Pickering, G. Nave, C. Allende-Prieto.
Blue: Histogram of normalised deviation from “true” value; Red: Gaussian fit to histogram Presented at ESA Hyperspectral Workshop 2010, March 16-19, Frascati,
Accessing APOGEE Data Jon Holtzman (NMSU) APOGEE team.
Course 12 Calibration. 1.Introduction In theoretic discussions, we have assumed: Camera is located at the origin of coordinate system of scene.
The Doppler Method, or Radial Velocity Detection of Planets: I. Technique 1. Keplerian Orbits 2. Spectrographs/Doppler shifts 3. Precise Radial Velocity.
CJT 765: Structural Equation Modeling Class 7: fitting a model, fit indices, comparingmodels, statistical power.
1 Workshop First look, calibrations, reference sources IAP – 24 November CU6 structure 2.Aims of the workshop / open questions.
IVC : a simulation and model-fitting tool for optical-IR interferometry Abstract I present a new software tool, called “Interferometry Visibility Computations”
14 October Observational Astronomy SPECTROSCOPY and spectrometers Kitchin, pp
NIRSpec Operations Concept Michael Regan(STScI), Jeff Valenti (STScI) Wolfram Freduling(ECF), Harald Kuntschner(ECF), Robert Fosbury (ECF)
Fuerteventura, Spain – May 25, 2013 Physical parameters of a sample of M dwarfs from high- resolution near-infrared spectra Carlos del Burgo Collaborators:
Using potential field extrapolations of active region magnetic fields, observed by SOHO/MDI, as a representation of a real active region, we apply hydrostatic.
RFX-mod Programme Workshop 2009 – January 2009 Scaling and validation plans Paolo Franz, Monica Spolaore.
Page 1ENVISAT Validation Review / GOMOS session - ESRIN – 13th December 2002 ENVISAT VALIDATION WORKSHOP GOMOS Recommendations by the ESL team : Service.
RVS Calibration Workshop, Paris RVS RVS Calibration RVS Calibration & First Look Workshop, Paris Mark Cropper.
1 Leonardo Pinheiro da Silva Corot-Brazil Workshop – October 31, 2004 Corot Instrument Characterization based on in-flight collected data Leonardo Pinheiro.
Data products of GuoShouJing telescope(LAMOST) pipeline and current problems LUO LAMOST Workshop.
SPACE TELESCOPE SCIENCE INSTITUTE Operated for NASA by AURA COS Pipeline Calibration Goals of CALCOS Association Table Input and Output Files High Level.
Mixture of Gaussians This is a probability distribution for random variables or N-D vectors such as… –intensity of an object in a gray scale image –color.
SNAP Calibration Program Steps to Spectrophotometric Calibration The SNAP (Supernova / Acceleration Probe) mission’s primary science.
HARPS Data Flow System Christophe Lovis Geneva Observatory HARPS-N PDR, 6-7 December 2007, Cambridge MA.
Ay 123 Lecture I - Physical Properties 10  as = 10% 10  as/yr = ESA Gaia mission: a revolution in 3-D mapping of our Galaxy.
Estimation Method of Moments (MM) Methods of Moment estimation is a general method where equations for estimating parameters are found by equating population.
MOS Data Reduction Michael Balogh University of Durham.
Radial Velocity Detection of Planets: I. Techniques 1. Keplerian Orbits 2.Spectrographs/Doppler shifts 3. Precise Radial Velocity measurements Contact:
3.7 Adaptive filtering Joonas Vanninen Antonio Palomino Alarcos.
JWST Time-Series Pipeline Nikole K. Lewis STScI. Data Pipeline for Transiting Exoplanets The foundation for the Spitzer and Hubble data pipelines were.
14 January Observational Astronomy SPECTROSCOPIC data reduction Piskunov & Valenti 2002, A&A 385, 1095.
LLR Analysis – Relativistic Model and Tests of Gravitational Physics James G. Williams Dale H. Boggs Slava G. Turyshev Jet Propulsion Laboratory California.
BME 353 – BIOMEDICAL MEASUREMENTS AND INSTRUMENTATION MEASUREMENT PRINCIPLES.
 Introduction to Stellar Pulsations  RR Lyrae Stars and the Blazhko Effect  Part I of the Thesis Work:  Temporal Behaviour of the RR Lyrae Data 
Linear Systems Numerical Methods. 2 Jacobi Iterative Method Choose an initial guess (i.e. all zeros) and Iterate until the equality is satisfied. No guarantee.
GIRAFFE (VLT): A new tool for exoplanets preparatory observations and follow-up Benoît Loeillet (LAM), François Bouchy, Magali Deleuil, Claire Moutou,
In conclusion the intensity level of the CCD is linear up to the saturation limit, but there is a spilling of charges well before the saturation if.
Quantum Optics meets Astrophysics Frequency Combs for High Precision Spectroscopy in Astronomy T. Wilken, T. Steinmetz, R. Probst T.W. Hänsch, R. Holzwarth,
Gaia Data Processing Coryn A.L. Bailer-Jones Max-Planck-Institut für Astronomie, Heidelberg on behalf of the Data Processing and Analysis Consortium (DPAC)
Thomas C. Stone U.S. Geological Survey, Flagstaff, AZ USA GSICS Research Working Group Meeting EUMETSAT 24−28 March 2014 Using the Moon as a Radiometric.
SPIRE Flux Calibration: Implementation
Single Object Slitless Spectroscopy Simulations
Description of the giro ON THE DETAILS OF THE IMPLEMENTATION
A.Zanichelli, B.Garilli, M.Scodeggio, D.Rizzo
CJT 765: Structural Equation Modeling
ESAC 2017 JWST Workshop JWST User Documentation Hands on experience
Strategies for Eliminating Interferences in Optical Emission Spectroscopy Best practices to optimize your method and correct for interferences to produce.
Statistical Methods For Engineers
Spectroscopy Workshop
Real-time Uncertainty Output for MBES Systems
Presentation transcript:

Workshop: First look, Calibrations & RV standard IAP-05-11-24 An example of calibration: The wavelength calibration Presentation of the Spectroscopic Global Iterative Solution The operations of SGIS Prototype & Perspectives of SGIS Antoine Guerrier GEPI

1. Presentation of the SGIS concept IAP-05-11-24 1. The presentation of the Spectroscopic Global Iterative Solution (SGIS)

No on-board calibration device (e.g. calibration lamp) 1.1. Problematic IAP-05-11-24 No on-board calibration device (e.g. calibration lamp) No specific observation for the calibration Not possible to compare to an “instrumental” reference source Need an alternative calibration method Possible alternative The Spectroscopic Global Iterative Solution (SGIS) = Wavelength self-calibration of the RVS

1.2. The reference sources IAP-05-11-24 Idea = Use sources observed by the RVS instrument Use reference sources (i.e. bright and stable stars) How many sources usable for the wavelength calibration? About 5.104 F8GK sources V<10 (about 4,6.105 V<12) (GEPI/GAIA-RVS/TN/017.01) About 80 epochs per star Measure the evolution of the instrument with its own observations: Large number of stable reference sources + Same evolution of the characteristics of the reference sources = Evolution of the characteristics of the instrument

How to use the reference sources observed? 1.3. Analogy IAP-05-11-24 How to use the reference sources observed? By analogy with the ground-based observations: Classical ground-based spectrograph Use “reference lines”: Known wavelengths in the laboratory reference frame from a calibration lamp SGIS approach Use stellar reference lines: Known wavelengths, little blended and identified in the spectra of the reference sources collected by the RVS

1.4. An iterative process IAP-05-11-24 Position of stellar reference lines depend upon 2 parameters: the radial velocity of the sources (RV) the spectral dispersion law of the instrument RV & Spectral dispersion law linked RV & Spectral dispersion law have to be determined: Derivation of the RV: Wavelength calibrations used to calibrate raw spectra Calibrated spectra used to derive RV Calibration of the wavelength scale: RV used to shift wavelengths of reference lines Reference lines used to compute wavelength calibrations An iterative approach is needed Each iteration refine the RV & calibration data

1.5. Non iterative steps of SGIS IAP-05-11-24 Initialisation step: - Starting point of the iterative process - Initialize spectral dispersion law with: Ground calibrations or commissioning calibrations or calibrations from first look Zero point correction step: - N+1 iteration of the SGIS - RV expressed in relative reference frame - To be usable, RV should be expressed in absolute reference frame (e.g. barycentre of the Solar System) - Ground-based standards used to derive relative-to- absolute reference frame transformations - Transformations = Zero point corrections

1.6. The scheme of SGIS IAP-05-11-24 SOURCE UPDATING  e.g. Radial Velocities REFERENCE SELECTION  Bright and stable stars CALIBRATION UPDATING  e.g. l-Pixel Relation INITIALIZATION Iterative processes ZERO POINT

2. The main operations of SGIS 2. The operations of SGIS IAP-05-11-24 2. The main operations of SGIS

2.1. The Source Updating step IAP-05-11-24 First iterative step of the SGIS Derivation of the Radial Velocity of the sources by a classical cross-correlation algorithm: Select a template spectrum (rest synthetic spectrum) Apply wavelength calibrations on the raw spectrum Shift the template spectrum according to a RV range Compute cross-correlation coefficient between template & calibrated spectrum Compute the maximum of the cross-correlation coefficients Maximum of cross-correlation coefficients = Best match between template & calibrated spectra = RV of the source The RV of the source Updated

2.3. The Reference Selection step IAP-05-11-24 Selection of the reference source used in wavelength calibration Reference source should be: Stable in radial velocity Of appropriate stellar type (i.e. about 20 lines unblended or little blended) Check, source by source, the astrophysical characteristics of the source Qualify or reject as a reference

2.4.1 The Calibration Updating step IAP-05-11-24 Calibrate the RVS spectral dispersion law: associate a mean wavelength to any sample Wavelength dispersion law assumed constant over interval of time Calibration units Function F constrained for each calibration unit

2.4.2 The Calibration Updating step - Prototype example IAP-05-11-24 2 simplifying assumptions: FoV-to-focal-plane transformations constant over duration of calibration unit Same constant velocities in the FoV for each source Mean-central-wavelength-to-sample function F expressed as function of FoV coordinates at the readout time of the sample: Function F represented by a 2nd order polynomial fit Wavelength calibration = Compute Cmn for each calibration unit

3. Prototype & Perspectives of SGIS 3. Prototype & Perspectives of SGIS IAP-05-11-24 3. Prototype & Perspectives of SGIS

3.1. The implementation of SGIS IAP-05-11-24 JAVA development of the first version of the SGIS prototype Test of non-divergence of the prototype: Initializing the spectral dispersion law with the true values Over 100 days of mission With 1000 G5V stars (same charact., e.g. RV = 0km/s) With 10 epochs per star SGIS processing Data model spectrogis math auxiliary Tools instrument sourceObs control Test & Performance referenceSelection sourceUpdating calibrationUpdating initializing

Assess the behaviour & performance of the prototype 3.2. The diagnostics of errors IAP-05-11-24 Assess the behaviour & performance of the prototype source-Updating reference-Selection calibration-Updating initialization Wavelength calibration diagnostic RV diagnostics Centroïding diagnostics

3.3.1 Results - Iteration 1 IAP-05-11-24

3.3.2 Results - Iteration 2 IAP-05-11-24

3.4. Conclusions & Perspectives IAP-05-11-24 1000 observations per calibration unit = Accuracy < 1km.s-1 The first series of tests Tests of non-divergence of the prototype (true spectral law) Results: divergence Problems localized! Non-symmetric profiles of reference lines in the spectra Centroiding degradation in the Calibration Updating Solution: calibrate the centroiding method New series of tests to valid the non-divergence of the prototype Test of convergence: Not initialize the spectral dispersion law with true values Observe the behaviour of the prototype over iterations GEPI/GAIA-RVS/TN/018 coming soon!