IBB Calibration Update J. Rufus GIST21 Meeting Boulder, CO. 31 st March – 2 nd April 2004 © Imperial College London.

Slides:



Advertisements
Similar presentations
Exploiting VERITAS Timing Information J. Holder a for the VERITAS Collaboration b a) School of Physics and Astronomy, University of Leeds, UK b) For full.
Advertisements

GOME-2 polarisation data and products L.G. Tilstra (1,2), I. Aben (1), P. Stammes (2) (1) SRON; (2) KNMI GSAG #42, EUMETSAT,
Lecture Notes Part 4 ET 483b Sequential Control and Data Acquisition
Preliminary Results from ATDD’s Soil Moisture/Temperature Testbed Soil Moisture and Soil Temperature Observations and Applications: A Joint U.S. Climate.
BPT2423 – STATISTICAL PROCESS CONTROL
Uncertainty & Errors in Measurement. Waterfall by M.C. Escher.
Excel 2003: Chart types. Column chart Shows data changes over a period of time Shows data changes over a period of time Or illustrates comparisons among.
Clouds and the Earth’s Radiant Energy System NASA Langley Research Center / Atmospheric Sciences Methodology to compare GERB- CERES filtered radiances.
Review and Rating Discharge Measurements David S. Mueller Office of Surface Water March 2010.
Chapter 12 - Forecasting Forecasting is important in the business decision-making process in which a current choice or decision has future implications:
GRAVITY Analysis & Interpretation GG 450 Feb 5, 2008.
Chandra X-Ray Observatory CXC Paul Plucinsky EPIC Cal Nov ACIS Calibration: Planned Updates & Future Issues 2.ACIS Operations: Controlling the.
CHAPTER 6 Statistical Analysis of Experimental Data
Principles of Sea Level Measurement Long-term tide gauge records  What is a tide station?  How is sea level measured relative to the land?  What types.
Analysis of Individual Variables Descriptive – –Measures of Central Tendency Mean – Average score of distribution (1 st moment) Median – Middle score (50.
Graphing. Representing numerical information in a picture. Graph shows a picture of a relationship -how two processes relate -what happens when two events.
In-orbit calibration (TOTAL channel) V space -V IBB Raw Earth V (counts) Raw IBB V (counts) =
ME 322: Instrumentation Lecture 23 March 13, 2015 Professor Miles Greiner Transient TC response, Modeling, Expected and observed behaviors, Lab 9, Plot.
Plans for interim data release J E Russell (Imperial)
Handling Data and Figures of Merit Data comes in different formats time Histograms Lists But…. Can contain the same information about quality What is meant.
Chapter 3 – Descriptive Statistics
Blue: Histogram of normalised deviation from “true” value; Red: Gaussian fit to histogram Presented at ESA Hyperspectral Workshop 2010, March 16-19, Frascati,
Level 1.5 Processing Issues Martin Bates RAL. Level 1.5 Processing Issues Geolocation –Current Status –TSOL Jitter (CSOL-TSOL) correction –Longterm TSOL.
Model Construction: interpolation techniques 1392.
GEM MINIDRIFT DETECTOR WITH CHEVRON READOUT EIC Tracking Meeting 10/6/14 B.Azmoun, BNL.
Figure 8.Color map of the geometric correction along the dispersion axis for segment A. Figure 4. Measured distortions for all PSA positions for segment.
Data Collection and Processing (DCP) 1. Key Aspects (1) DCPRecording Raw Data Processing Raw Data Presenting Processed Data CompleteRecords appropriate.
CALIBRATION METHODS. For many analytical techniques, we need to evaluate the response of the unknown sample against the responses of a set of standards.
Graphing.
Uncertainty & Errors in Measurement. Waterfall by M.C. Escher.
Density Measurement, Calibration of a Thermometer and a Pipette Accuracy and Precision in Measurements.
Lab Report Guide IB.
Uncertainty & Errors in Measurement. Waterfall by M.C. Escher.
© Imperial College LondonPage 1 Calibration Commissioning Report GIST 19 RAL, 27th August 2003 GERB Instrument Team & Operations Team.
Lecture 6: Point Interpolation
CHAPTER 5: Data sampling design, data quality, calibration, presentation Sampling Physical variables are continuous, but samples (water samples) and digital.
Analysis of Nonlinearity Correction for CrIS SDR April 25, 2012 Chunming Wang NGAS Comparisons Between V32 and V33 Engineering Packets.
NPP ATMS Instrument Performance SDR Product Review, 23 Oct Kent Anderson Chief Engineer, Civil Space Programs NG Electronic Systems Azusa, CA.
GERB in-flight calibration Monitoring Instrument Gain.
Level 1.5 Processing Updates Martin Bates, RAL GIST th April, 2005.
Update on Diffractive Dijets Hardeep Bansil University of Birmingham 12/07/2013.
Chapter 9: Introduction to the t statistic. The t Statistic The t statistic allows researchers to use sample data to test hypotheses about an unknown.
Uncertainty & Errors in Measurement. Waterfall by M.C. Escher.
09/06/06Predrag Krstonosic - CALOR061 Particle flow performance and detector optimization.
NASA Langley Research Center / Atmospheric Sciences CERES Instantaneous Clear-sky and Monthly Averaged Radiance and Flux Product Overview David Young NASA.
Edges Edges = jumps in brightness/color Brightness jumps marked in white.
Mark Dorman – UCL/RAL – Calibration Workshop Talk Update on ND Strip-to-Strip Calibration Work Mark Dorman Calibration Workshop Fermilab, September 7-9.
Bias analysis and correction for MetOp/AVHRR IR channel using AVHRR-IASI inter-comparison Tiejun Chang and Xiangqian Wu GSICS Joint Research and data Working.
GERB Ground Calibration Overview and Status J. Rufus
Validation status overivew
Validation status overivew
GERB 4 detector spectral response measurements
New static DQ masks for NICMOS
Representing Data Chemistry A.
3. Data analysis SIS.
DATA ANALYSIS IN CHEMISTRY
AC-9/AC-S data analysis from CDOM Lab
Graph Types Class A Class B.
Observing Climate Variability and Change
MODIS Characterization and Support Team Presented By Truman Wilson
Martin D Bootman, Michael J Berridge  Current Biology 
STEM Fair Graphs.
Dorothee Coppens.
Vincent B. McGinty, Antonio Rangel, William T. Newsome  Neuron 
Dopamine Reward Prediction Error Responses Reflect Marginal Utility
Inactivation of Medial Frontal Cortex Changes Risk Preference
Cortical Mechanisms of Smooth Eye Movements Revealed by Dynamic Covariations of Neural and Behavioral Responses  David Schoppik, Katherine I. Nagel, Stephen.
Hippocampal “Time Cells”: Time versus Path Integration
Volume 45, Issue 4, Pages (February 2005)
Volume 88, Issue 3, Pages (November 2015)
Presentation transcript:

IBB Calibration Update J. Rufus GIST21 Meeting Boulder, CO. 31 st March – 2 nd April 2004 © Imperial College London

IBB Calibration Update Ideal Method - All Heights, near Instantaneous © Imperial College London Measure a near instantaneous average V CBB and record IBB data while observing WBB. (Method used for GERB-3.)

IBB Calibration Update Ideal Method - All Heights, near Instantaneous © Imperial College London Measure a near instantaneous average V CBB and record IBB data while observing WBB. (Method used for GERB-3.) =Total Gain

IBB Calibration Update Method Used – One Height, Static © Imperial College London During GERB-2 IBB Calibration more time was devoted to SW IBB tests. Time used on these observations caused concern over the amount of data collected at 5 heights in region of rapidly changing T. Compromise employed where WBB and CBB were measured at one height (#3 Pixels ) Use radiometric cal around IBB trials to provide gain and MODEL offset (measured from CBB)

IBB Calibration Update All Detector L IBB Data – Static Method © Imperial College London A surface plot of the data shows a noisy profile with occasional low ‘spikes’ Also the noisy pixel 123 is visible as an elevated ridge. Percentage of anomalous points (<100) 76 out of (256  7908)  0.004%

IBB Calibration Update Problems with the Fits © Imperial College London Over the temperature region for which we have data a linear fit is sufficiently accurate. The fit gradient is within expectations but the intercept gives rise to structure across the detector. Since T op  T cal we may also have problems with linear extrapolation

IBB Calibration Update Attempted Solutions © Imperial College London Truncate removes low T dominance Average combat noise Fit T 4 improve extrapolation

IBB Calibration Update Extrapolation to IBB Operating Temperature © Imperial College London Fitting becomes a problem because of the mismatch in temperature between the calibration and operating regimes.

IBB Calibration Update Detector L IBB Data after Averaging over  T=0.04K © Imperial College London A surface plot of the averaged data shows a profile with numerous ‘furrows’ indicating varying offsets between pixels The truncation of the bottom 25% of the data results in a loss of only 0.4K in temperature coverage. Altering fitting function will not remove structure in data.

IBB Calibration Update All IBB data for Height 3 © Imperial College London Static Method Instantaneous Method Ht 3 only

IBB Calibration Update CBB Measurements from Contemporary Radiometric Calibration © Imperial College London Observations of the CBB signal in the height overlap regions shows A bulk positive drift A very small uncertainty, < 0.05% Several anomalous pixels which deviate from the general trend Discrete jumps in the trends for individual pixels at random points

IBB Calibration Update Source of Fluctuation © Imperial College London V CBB s measured during Radiometric Calibrations either side of IBB Trials do not exactly correspond to those during. The magnitude of the effect explains the deviation of the two methods and the increased structure in L IBB in the full pixel method.  L =  V CBB / G ~ 0.4%

IBB Calibration Update Correction based on Average Difference Observed © Imperial College London

IBB Calibration Update Correction based on Average Difference Observed © Imperial College London

IBB Calibration Update Correction to Shape Over Height 3 © Imperial College London Correction factors influence on the smoothness of radiance profile: Black – Uncorrected Red – Corrected Blue – Instantaneous But this data includes pixel 123 which the correction smoothes significantly.

IBB Calibration Update Correction to Shape Over Height 3 - Revised for Pixel 123 © Imperial College London Picture still improving over the whole height range with 123 removed.

IBB Calibration Update Correction Over Height 3 – Data Dependence © Imperial College London Do better in regions of high measurement, corresponds to longer observation time thus more stable V CBB, and C

IBB Calibration Update Correction Over Height 3 – All T Mean © Imperial College London This is borne out by average over the whole data set along the temperature axis. Using the correction determined from comparison of the average of the IBB trial V CBB averages (taken over ~ 6 hours) and the average of the radcal V CBB s (taken in hour windows over 3-4 days) an excellent correction is produced.

IBB Calibration Update Correction Over Non Central Heights? © Imperial College London GERB-3 fits show high degree of homogeneity. Use these as witness sample to correct GERB-2 heights outside height 3. Back up this approach by using data from moving table observing shroud. GERB-2 GERB-3