Instituto de Astrofísica de Andalucía

Slides:



Advertisements
Similar presentations
Cleaned Three-Year WMAP CMB Map: Magnitude of the Quadrupole and Alignment of Large Scale Modes Chan-Gyung Park, Changbom Park (KIAS), J. Richard Gott.
Advertisements

1 M. Auvergne. Natal October 2004 Instrument performances. Signal perturbations: Radiations. Scattered light. ACS. Temperature. Readout electronic. Calibrations.
Evidence of icy grains in the coma of comet 103P/Hartley 2 from ground based observations G. P. Tozzi 1, P. Patriarchi 1, E. Mazzotta-Epifani 2, L. M.
Pulsed Cathodic Arc Plasma Diagnostics Optical Emission Spectroscopy Results Aluminium.
RHESSI/GOES Observations of the Non-flaring Sun from 2002 to J. McTiernan SSL/UCB.
An XMM-ESAS Update Steve Snowden NASA/Goddard Space Flight Center EPIC Operations and Calibration Meeting - BGWG Palermo - 11 March 2007.
25 YEARS AFTER THE DISCOVERY: SOME CURRENT TOPICS ON LENSED QSOs Santander (Spain), 15th-17th December 2004 Short-time scale variability in gravitationally.
Deterministic Modeling of the MOS Background Steve Snowden NASA/Goddard Space Flight Center EPIC Operations and Calibration Meeting Mallorca 1-3 February.
A particularly obvious example of daily changing background noise level Constructing the BEST High-Resolution Synoptic Maps from MDI J.T. Hoeksema, Y.
Extracting the Mystery from the Red Rectangle Meghan Canning, Zoran Ninkov, and Robert Slawson Chester Carlson Center for Imaging Science Rochester Institute.
CXC CUC September SDS Page 1 CUC Sep 2007 Science Data Systems – Jonathan McDowell.
2002 January 28 AURA Software Workshop The MATPHOT Algorithm for Digital Point Spread Function CCD Stellar Photometry Kenneth J. Mighell National.
A Primer on Image Acquisition and Data Reduction Using TheSky6, CCDSoft V5 and Microsoft Excel Thomas C. Smith Dark Ridge Observatory (DRO)
NICMOS IntraPixel Sensitivity Chun Xu and Bahram Mobasher Space Telescope Science Institute Abstract We present here the new measurements of the NICMOS.
Results of the WMO Laboratory Intercomparison of rainfall intensity gauges Luca G. Lanza University of Genoa WMO (Project Leader) DIAM UNIGE September.
Apr 17-22, Tunable filter wavelength scan and calibration of intensity ripple Y. Katsukawa (NAOJ) and SOT team.
Printed by ACS 2 Gyro Mode Data Analysis Cheryl Pavlovsky, Marco Sirianni, Ken Sembach, ACS Instrument Team and the 2 Gyro Mode Team.
Blue: Histogram of normalised deviation from “true” value; Red: Gaussian fit to histogram Presented at ESA Hyperspectral Workshop 2010, March 16-19, Frascati,
October 29-30, 2001MEIDEX - Crew Tutorial - Calibration F - 1 MEIDEX – Crew Tutorial Calibration of IMC-201 Adam D. Devir, MEIDEX Payload Manager.
2004 January 27Mathematical Challenges of Using Point Spread Function Analysis Algorithms in Astronomical ImagingMighell 1 Mathematical Challenges of Using.
Eusoballoon optics test Baptiste Mot, Gilles Roudil, Camille Catalano, Peter von Ballmoos Test configuration Calibration of the light beam Exploration.
Shapelets analysis of weak lensing surveys Joel Bergé (CEA Saclay) with Richard Massey (Caltech) Alexandre Refregier (CEA Saclay) Joel Bergé (CEA Saclay)
Conversion of Stackfit to LSST software stack Status as of Feb 20, 2012.
STEP4 Konrad Kuijken Leiden. Back to basics? STEP1,2,3 –‘end-to-end’ tests for constant-shear images –What causes discrepancies? Selection bias PSF modelling.
PSF in-flight calibration - PN IFC/CNRRingberg, April 2-4, 2002 PSF in-flight calibration for PN camera Simona Ghizzardi Silvano Molendi.
MOS Data Reduction Michael Balogh University of Durham.
Practical applications: CCD spectroscopy Tracing path of 2-d spectrum across detector –Measuring position of spectrum on detector –Fitting a polynomial.
NICMOS Calibration Challenges in the Ultra Deep Field Rodger Thompson Steward Observatory University of Arizona.
Physics 114: Lecture 8 Measuring Noise in Real Data Dale E. Gary NJIT Physics Department.
System Performance Metrics and Current Performance Status George Angeli.
Measurements of Vector Magnetic Fields
G. Eigen, Paris, Introduction The SiPM response is non-linear and depends on operating voltage (V-V bd ) and temperature  SiPMs need monitoring.
Irradiated 3D sensor testbeam results Alex Krzywda On behalf of CMS 3D collaboration Purdue University March 15, 2012.
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.
GSPC -II Program GOAL: extend GSPC-I photometry to B = V ˜ 20 add R band to calibrate red second-epoch surveys HOW: take B,V,R CCD exposures centered at.
Astroschool: Image Calibration February 20 th,
A. Ealet Berkeley, december Spectrograph calibration Determination of specifications Calibration strategy Note in
Monitoring Energy Gains Using the Double and Single Arm Compton Processes Yelena Prok PrimEx Collaboration Meeting March 18, 2006.
OSIRIS Full Team Meeting -
OSIRIS Solar System Simulator
OSIRIS operation summary
Rosetta’s first view of CG
Asteroid 4 Vesta observed from OSIRIS-ROSETTA
OSIRIS Full Team Meeting Welcome, Introduction, Logistics
Relative Spectral Response and Flat Fields with Internal Calibration Lamps Luisa M. Lara IAA-CSIC Granada (SPAIN)
ANALYSIS OF SEQUENCE OF IMAGES MTP003/STP004/TRAIL_001 & TRAIL_002
Miscellaneous results of flight calibration analysis
Deeper insight in the Steins flyby geometry:
NAC flat fielding and intensity calibration
I.- Relative Spectral Response: Corrected of green light contamination II.-Flat Fields with Internal Calibration Lamps during Commissioning Luisa M.
Summary of the science planned per mission phase
OSIRIS operation summary
Instituto de Astrofísica de Andalucía
HighScore Plus for Crystallite Size Analysis
Khallefi Leïla © esa Supervisors: J. L. Vazquez M. Küppers
Examinations of the relative alignment of the instruments on SOT
COS FUV Flat Fields and Signal-to-Noise Characteristics
The Standard Analysis chain
On-Orbit Performance and Calibration of the HMI Instrument J
Maxima of discretely sampled random fields
On the source of the diffuse background light in HUDF
Basics of Photometry.
Karen Meech Institute for Astronomy TOPS 2003
Direct imaging discovery of a Jovian exoplanet within a triple-star system by Kevin Wagner, Dániel Apai, Markus Kasper, Kaitlin Kratter, Melissa McClure,
Implicit adaptation generalizes around the aiming location (30° CCW)
Modern Observational/Instrumentation Techniques Astronomy 500
Peering through Jupiter’s clouds with radio spectral imaging
Quantification of Fluorophore Copy Number from Intrinsic Fluctuations during Fluorescence Photobleaching  Chitra R. Nayak, Andrew D. Rutenberg  Biophysical.
Discriminating IR light with visual cortex.
Volume 98, Issue 9, Pages (May 2010)
Presentation transcript:

Instituto de Astrofísica de Andalucía Instituto de Astrofísica de Andalucía Instituto Nacional de Técnica Aerospacial ANALYSIS OF PSF OF WIDE ANGLE CAMERA AND NARROW ANGLE CAMERA OF THE IMAGING INSTRUMENT OSIRIS FOR ROSETTA MISSION 22 February 2007 The IAA-INTA Team

Instituto de Astrofísica de Andalucía Instituto de Astrofísica de Andalucía Instituto Nacional de Técnica Aerospacial Main Tasks Comparison among analytical fits of the Point Spread Function (PSF) using different bidimensional profiles Best fit for the curve wings (analysis for saturated stars) Analysis of the residuals of the curve fit Variation of curve fit parameters in the field of view Variation of curve fit parameters due to time and temperature

Methodology Working on the images taken up today by NAC and WAC Instituto de Astrofísica de Andalucía Instituto Nacional de Técnica Aerospacial Methodology Working on the images taken up today by NAC and WAC Assuming stars as point light sources Plotting pixels values in tridimensional graphics Operate an analytical fit with five different bidimensional curves: Gaussian, Lorentz, Sersic, Moffat, Waussian

Instituto de Astrofísica de Andalucía Instituto de Astrofísica de Andalucía Instituto Nacional de Técnica Aerospacial What images look like Full frame images (both of NAC and WAC) are 2048 x 2048 pixels size WAC field of view is 12° x 12° NAC field of view is 2.4° x 2.4° WAC_2004-09-23T07.16.06.570Z_ID12_3610002002_F12 Filter: "Empty", "Red“; Exp Time: 600.0000

Plot of a star Tridimensional plot of the same star after processing Instituto de Astrofísica de Andalucía Instituto Nacional de Técnica Aerospacial Plot of a star a star in a NAC image NAC_2004-09-23T08.11.06.598Z_ID10_3610005002_F22 Filter: "FFP-Vis", "Orange" Exp Time: 600.0000 Tridimensional plot of the same star after processing Sky background subtraction Normalization (total volume of solid equal to 1)

Plot of a star Tridimensional plot of the same star after processing Instituto de Astrofísica de Andalucía Instituto Nacional de Técnica Aerospacial Plot of a star a star in a WAC image WAC_2004-09-23T07.16.06.570Z_ID12_3610002002_F12 Filter: "Empty", "Red“ Exp Time: 600.0000 Tridimensional plot of the same star after processing Sky background subtraction Normalization (total volume of solid equal to 1)

Possible analytical fits Instituto de Astrofísica de Andalucía Instituto Nacional de Técnica Aerospacial Possible analytical fits GAUSSIAN WAC_2004-09-23T07.16.06.570Z_ID12_3610002002_F12 Filter: "Empty", "Red“; Exp Time: 600.0000

Possible analytical fits Instituto de Astrofísica de Andalucía Instituto Nacional de Técnica Aerospacial Possible analytical fits LORENTZ WAC_2004-09-23T07.16.06.570Z_ID12_3610002002_F12 Filter: "Empty", "Red“; Exp Time: 600.0000

Possible analytical fits Instituto de Astrofísica de Andalucía Instituto Nacional de Técnica Aerospacial Possible analytical fits SERSIC WAC_2004-09-23T07.16.06.570Z_ID12_3610002002_F12 Filter: "Empty", "Red“; Exp Time: 600.0000

Possible analytical fits Instituto de Astrofísica de Andalucía Instituto Nacional de Técnica Aerospacial Possible analytical fits MOFFAT WAC_2004-09-23T07.16.06.570Z_ID12_3610002002_F12 Filter: "Empty", "Red“; Exp Time: 600.0000

Possible analytical fits Instituto de Astrofísica de Andalucía Instituto Nacional de Técnica Aerospacial Possible analytical fits WAUSSIAN WAC_2004-09-23T07.16.06.570Z_ID12_3610002002_F12 Filter: "Empty", "Red“; Exp Time: 600.0000

Onedimensional comparison of the fits Instituto de Astrofísica de Andalucía Instituto Nacional de Técnica Aerospacial Onedimensional comparison of the fits 1. 2. 3. 4. 5. 1. Gaussian fit 2. Lorentz fit 3. Sersic fit 4. Moffat fit 5. Waussian fit NAC_2004-09-24T13.33.23.893Z_ID10_3610001002_F82 Filter: "Neutral", "Orange“; Exp Time: 0.0500; Target: Vega

Characteristics of the fit Instituto de Astrofísica de Andalucía Instituto Nacional de Técnica Aerospacial Characteristics of the fit Curves can be affected by asymmetry: the fit performed by our software allows the individuation of two main axes of an elliptic base The fit allows the elliptic base to be rotated of an arbitrary angle (f) respect to the image coordinates The fit is done with the values of the bidimensional integral of the curve over a pixel area gaussian fit with function values NAC_2004-09-24T13.34.03.715Z_ID10_3610003002_F84 Filter: "Neutral", "Blue“; Exp Time: 0.0700

Characteristics of the fit Instituto de Astrofísica de Andalucía Instituto Nacional de Técnica Aerospacial Characteristics of the fit Curves can be affected by asymmetry: the fit performed by our software allows the individuation of two main axes of an elliptic base The fit allows the elliptic base to be rotated of an arbitrary angle (f) respect to the image coordinates The fit is done with the values of the bidimensional integral of the curve over a pixel area gaussian fit with values of function integral over the pixel NAC_2004-09-24T13.34.03.715Z_ID10_3610003002_F84 Filter: "Neutral", "Blue“; Exp Time: 0.0700

Analysis of saturated stars Instituto de Astrofísica de Andalucía Instituto Nacional de Técnica Aerospacial Analysis of saturated stars Our software allows the analysis of saturated stars. This analysis is possible because during the fit process the contribution by bad (saturated) pixels can be ignored In this case only the wings of the image of the star contribute to the fit process gaussian fit affected by saturated pixels NAC_2004-09-23T08.11.06.598Z_ID10_3610005002_F22 Filter: "FFP-Vis", "Orange“; Exp Time: 600.0000

Analysis of saturated stars Instituto de Astrofísica de Andalucía Instituto Nacional de Técnica Aerospacial Analysis of saturated stars Our software allows the analysis of saturated stars. This analysis is possible because during the fit process the contribution by bad (saturated) pixels can be ignored In this case only the wings of the image of the star contribute to the fit process gaussian fit not affected by saturated pixels NAC_2004-09-23T08.11.06.598Z_ID10_3610005002_F22 Filter: "FFP-Vis", "Orange“; Exp Time: 600.0000

Best fit and residuals analysis Instituto de Astrofísica de Andalucía Instituto Nacional de Técnica Aerospacial Best fit and residuals analysis The value of residuals of the different curves gives information on the best fit We are developing the possibility to make a map of the residuals in order to analyze if each pixel residual is higher than statistical pixel error. In this case a correction map would be useful to make the function fit better Yellow = image values Blue = best curve fit integral values NAC_2004-09-23T08.11.06.598Z_ID10_3610005002_F22 Filter: "FFP-Vis", "Orange“; Exp Time: 600.0000

Instituto de Astrofísica de Andalucía Instituto de Astrofísica de Andalucía Instituto Nacional de Técnica Aerospacial Preliminary Results By now the software has been tested over a few images of the WAC and NAC Our preliminary results NAC PSF FWHM gaussian fit = 1.5 px WAC PSF FWHM gaussian fit = 1.4 px are consistent with previous calibration tests (Da Peppo et al., 2004) Our analysis reveals that not always gaussian fit is the best one, in many cases other curves seemed to fit better. In the following example the comparison between gaussian fit and moffat fit revealed that moffat fit was better

Instituto de Astrofísica de Andalucía Instituto de Astrofísica de Andalucía Instituto Nacional de Técnica Aerospacial Preliminary Results Yellow = image values Blue = gauss curve fit integral values Yellow = image values Red = waussian curve fit integral values Residuals Gaussian 0.00323331 Lorentz 0.00705940 Sersic 0.00778817 Moffat 0.00256934 Waussian 0.00705920 NAC_2004-09-24T13.33.23.893Z_ID10_3610001002_F82 Filter: "Neutral", "Orange“ Exp Time 0.0500 Target Vega

Example of image analysis Instituto de Astrofísica de Andalucía Instituto Nacional de Técnica Aerospacial Example of image analysis Image name: WAC_2004-09-15T21.26.33.613Z_ID10_3610017002_F12 Filter: "Empty", "Red“; Exp Time: 60.0000 Number of stars examined: 25 Number of sectors examined: 5 Best curve fit: Moffat fit: 23 cases Sersic fit: 2 cases (both in the central sector of the image) Both Gaussian and Moffat fit analysis show: No rotation dependence on the sector No asymmetry dependence on the sector Gaussian FWHM = 1.39 +/- 0.21 px Mean Moffat fit parameters f = a / (1+ (r/s)4) a = 0.397 +/- 0.082 s = 0.729 +/- 0.123

Example of image analysis Instituto de Astrofísica de Andalucía Instituto Nacional de Técnica Aerospacial Example of image analysis Image name: WAC_2004-09-15T21.26.33.613Z_ID10_3610017002_F12 Filter: "Empty", "Red“; Exp Time: 60.0000 Number of stars examined: 25 Number of sectors examined: 5 Best curve fit: Moffat fit: 23 cases Sersic fit: 2 cases (both in the central sector of the image) Both Gaussian and Moffat fit analysis show: No rotation dependence on the sector No asymmetry dependence on the sector Gaussian FWHM = 1.39 +/- 0.21 px Mean Moffat fit parameters f = a / (1+ (r/s)4) a = 0.397 +/- 0.082 s = 0.729 +/- 0.123

On work and future development Instituto de Astrofísica de Andalucía Instituto Nacional de Técnica Aerospacial On work and future development The software is being tested to prove that it is working properly We will analyze a significant number of stars (also saturated stars) of WAC and NAC images to evaluate the fit parameters of the Point Spread Function In particular we will check the consistence of fit parameters of PSF all over the field of view and we will look for any variation of them due to time and temperature If residuals result significant compared with the noise, we will develop a numerical map for a better fit.