Do you have any energy monitoring? YES Potsdam. During the pass, the instantaneous and the average return rate are displayed on the observer's screen.

Slides:



Advertisements
Similar presentations
Claude Beigel, PhD. Exposure Assessment Senior Scientist Research Triangle Park, USA Practical session metabolites Part II: goodness of fit and decision.
Advertisements

Introduction to parameter optimization
Previously… We created a simulated temperature reader which alerts if too hot or too cold… Download the solved practice to keep in sync: Thermostat.vi.
Crown XTi Control Click the Crown Logo at the top of any the screen to return to this Menu Interactive Main Menu Interactive Front Panel Display Updating.
Crown CDi Series Control Click the Crown Logo at the top of any the screen to return to this Menu Interactive Main Menu Interactive Front Panel Display.
A NEW CTE PHOTOMETRIC CORRECTION FORMULA FOR ACS Marco Chiaberge TIPS meeting 05/16/2012.
SVN-49 Signal Anomaly Presented by Tom Stansell GPSW POC: Lt. Col. James Lake, Ph.D.
Principles of Electronic Communication Systems Second Edition Louis Frenzel © 2002 The McGraw-Hill Companies.
Slide 1 Choosing the Appropriate Control Chart Attribute (counts)Variable (measurable) Defect Defective (MJ II, p. 37) The Lean Six Sigma Pocket Toolbook,
Daylight visibility of Laser Beam Eastbourne, October 2005 Daylight Visibility of a kHz - but µJ – Laser Beam.
GWDAW-8 (December 17-20, 2003, Milwaukee, Wisconsin, USA) Search for burst gravitational waves with TAMA data Masaki Ando Department of Physics, University.
Software Quality Control Methods. Introduction Quality control methods have received a world wide surge of interest within the past couple of decades.
TOR TanDEM-X 16th International Workshop on Laser Ranging, Poznan, October 2008 ILRS Support for TerraSAR-X and TanDEM-X - Status and Future Prospects.
T T20-06 Control Chart (with Runs Tests) Purpose Allows the analyst create and analyze a "Control Chart". A visual analysis of the control time.
The Calibration Process
Short Term Load Forecasting with Expert Fuzzy-Logic System
Copyright ©2011 Pearson Education 15-1 Chapter 15 Multiple Regression Model Building Statistics for Managers using Microsoft Excel 6 th Global Edition.
Chemometrics Method comparison
Quality Assessment 2 Quality Control.
Colorado Center for Astrodynamics Research The University of Colorado STATISTICAL ORBIT DETERMINATION Project Report Unscented kalman Filter Information.
Inference for regression - Simple linear regression
10-1Quality Control William J. Stevenson Operations Management 8 th edition.
Forecasting and Statistical Process Control MBA Statistics COURSE #5.
Exploratory Data Analysis. Computing Science, University of Aberdeen2 Introduction Applying data mining (InfoVis as well) techniques requires gaining.
Copyright ©2011 Pearson Education, Inc. publishing as Prentice Hall 15-1 Chapter 15 Multiple Regression Model Building Statistics for Managers using Microsoft.
General Licensing Class G8A – G8B Signals and Emissions Your organization and dates here.
NextGen Trustee Department Disbursements This class will cover the various methods of handling department disbursements. Whether entering them manually.
Mission Planning and SP1. Outline of Session n Standards n Errors n Planning n Network Design n Adjustment.
Coincidence analysis in ANTARES: Potassium-40 and muons  Brief overview of ANTARES experiment  Potassium-40 calibration technique  Adjacent floor coincidences.
1 1 Slide Multiple Regression n Multiple Regression Model n Least Squares Method n Multiple Coefficient of Determination n Model Assumptions n Testing.
MERIT analysis - Beam spot size Goran Skoro More details: UKNF Meeting, Oxford, 16 September 2008.

Toby Shoobridge David Benham NERC Space Geodesy Facility Herstmonceux, UK
Chapter 10 Quality Control.
An Approach to Stabilizing Large Telescopes for Stellar Interferometry It shakes like a…. [G. Vasisht, 31 March 2006] N. Di Lieto J. Sahlmann, G. Vasisht,
System Operations Eastbourne, October 2005 Towards the 1-mm: -A realistic goal ? -A vision ? -A myth ? -???
Emergency Position Indicating Radio Beacon
Lecture 8 Simple Linear Regression (cont.). Section Objectives: Statistical model for linear regression Data for simple linear regression Estimation.
Signals and Emissions 1 G8 - SIGNALS AND EMISSIONS [2 exam questions - 2 groups] G8A - Carriers and modulation: AM; FM; single and double sideband; modulation.
Operations Management
Social Science Research Design and Statistics, 2/e Alfred P. Rovai, Jason D. Baker, and Michael K. Ponton Within Subjects Analysis of Variance PowerPoint.
ILRS Workshop Herstmonceux 2005 Network collaboration ILRS 2005 Workshop Eastbourne, UK, October 6th, 2005.
11/23/2015Slide 1 Using a combination of tables and plots from SPSS plus spreadsheets from Excel, we will show the linkage between correlation and linear.
KHz-SLR PC Board Eastbourne, October 2005 for kHz SLR Complete PC Board.
Electromagnetic Spectrum
Bundle Adjustment A Modern Synthesis Bill Triggs, Philip McLauchlan, Richard Hartley and Andrew Fitzgibbon Presentation by Marios Xanthidis 5 th of No.
Yield Cleaning Software and Techniques OFPE Meeting
NTSC SYSTEM. INTRODUCTION It’s the national television system committee. Analog television – used in parts of North and South America,Myanmar,S.Korea,parts.
1/20/2016ENGM 720: Statistical Process Control1 ENGM Lecture 05 Variation Comparisons, Process Capability.
Statistics for Managers Using Microsoft Excel, 4e © 2004 Prentice-Hall, Inc. Chap 14-1 Chapter 14 Multiple Regression Model Building Statistics for Managers.
1 Project Quality Management QA and QC Tools & Techniques Lec#10 Ghazala Amin.
1 st post launch SCIAMACHY calibration & Verification Meeting L1b Astrium Friedrichshafen – Germany 24 July 2002 First level 1b Leakage current analysis.
BASIC INSTRUMENTS - oscilloscopes
1 EMCAL Reconstruction in Pass pp 900 GeV 29/03/2010 Gustavo Conesa Balbastre.
1 Chapter No. 17 Radiation Detection and Measurements, Glenn T. Knoll, Third edition (2000), John Willey. Measurement of Timing Properties.
Testbeam analysis Lesya Shchutska. 2 beam telescope ECAL trigger  Prototype: short bars (3×7.35×114 mm 3 ), W absorber, 21 layer, 18 X 0  Readout: Signal.
1Ben ConstanceCTF3 working meeting – 09/01/2012 Known issues Inconsistency between BPMs and BPIs Response of BPIs is non-linear along the pulse Note –
What is ClassiFire ® ? ClassiFire is a patented Artificial Intelligence system used in the Stratos-HSSD ® range of Aspirating Smoke Detectors. ClassiFire.
Total Data Volume (October September 2000) Passes Total Data Volume Performance Standard is 1500 Passes Monument Peak Mt. Stromlo Yarragadee Greenbelt.
Total Data Volume (January December 2000) Passes Total Data Volume Performance Standard is 1500 Passes Mt. Stromlo Yarragadee Monument Peak Greenbelt.
1 Creating Situational Awareness with Data Trending and Monitoring Zhenping Li, J.P. Douglas, and Ken. Mitchell Arctic Slope Technical Services.
MODEL DIAGNOSTICS By Eni Sumarminingsih, Ssi, MM.
Mark Dorman – UCL/RAL – Calibration Workshop Talk Update on ND Strip-to-Strip Calibration Work Mark Dorman Calibration Workshop Fermilab, September 7-9.
Optical Alignment Manual
Inference for Least Squares Lines
The Calibration Process
Understanding what sh_gamit does
NanoBPM Status and Multibunch Mark Slater, Cambridge University
The Quality Control Function
Quality Assessment The goal of laboratory analysis is to provide the accurate, reliable and timeliness result Quality assurance The overall program that.
Presentation transcript:

Do you have any energy monitoring? YES Potsdam. During the pass, the instantaneous and the average return rate are displayed on the observer's screen as bar indicators, updated every second. YES Simosato. We always check the laser output by the oscilloscope and the power monitor, and adjust the gain of the amplifier. YES Zimmerwald. Actual transmit energies (blue and IR) are displayed Receive energy (pulse generated by IR photomultiplier) displayed and stored NO Graz. With the full solid state kHz laser, it is not really an issue. It is sufficient to measure the output each week or so. In the few cases we had problems, we saw it immediately (we shot some small holes in the last output mirror....). NO Borowiec Herstmonceux Transmit – NO Receive - YES

Do you have any energy monitoring? YES Potsdam. During the pass, the instantaneous and the average return rate are displayed on the observer's screen as bar indicators, updated every second. YES Simosato. We always check the laser output by the oscilloscope and the power monitor, and adjust the gain of the amplifier. YES Zimmerwald. Actual transmit energies (blue and IR) are displayed Receive energy (pulse generated by IR photomultiplier) displayed and stored NO Graz. With the full solid state kHz laser, it is not really an issue. It is sufficient to measure the output each week or so. In the few cases we had problems, we saw it immediately (we shot some small holes in the last output mirror....). NO Borowiec Herstmonceux Transmit – NO Receive – YES Yarragadee YES. We have a shot by shot receive energy indication. We have visual and audio indication. The audio indicator varies in pitch according to return energy level.

Do you have any energy control? YES Potsdam. The laser output energy can be controlled by selecting a single pulse or semitrain and by enabling/disabling the second amplifier. Additionally, the beam divergence can be remotely controlled. This is automatically set based on average sky and elevation conditions according to our experience and can be modified by the observer during the pass. We try to keep the average return rate below 50 per cent (30 per cent is optimum). YES Simosato. We attenuate the transmission power by using an aperture, and keep the level of return signals from satellites constant by adjusting the receiver attenuation. YES Zimmerwald Both transmit energy (polarizers) and ND filters in receive path (separate for blue and IR) ND filters are automatically adjusted to keep return rates between 10 and 25 percent. YES Borowiec.Percentage of good returns YES Herstmonceux. Software control of return rate with ND wheel (clear to ND4) to maintain 10% return rate. Observer control of Beam and Iris. All satellites have pre-determined starting values for beam and ND. YES Yarragadee. 6.0 ND wheel

Do you control the energy? YES Potsdam. For target calibrations the laser parameters (in connection with an attenuator) are set in a way that the average return rate is below 50 per cent (typical values per cent. Average and instantaneous return rate are displayed in the same way as during a pass. YES Simosato. We attenuate the transmission power by using an aperture, and keep the level of return signals from satellites constant by adjusting the receiver attenuation. YES Zimmerwald. Both transmit energy (polarizers) and ND filters in receive path (separate for blue and IR) YES Graz. Attenuated by a factor of 5, using phase shifting of the last amplifier pumping; YES Borowiec. Percentage of good returns YES Herstmonceux. Realtime return rate + Software control of ND wheel YES Yarragadee. We try and make the calibration receive energy match the satellite’s.

Do you monitor any changes in calibration? YES Potsdam. We create EDF (Engineering Data Files) for every calibration run and look for obvious problems in the plotted mean and standard deviations. YES Simosato. We monitor the change of the amount of an internal delay. YES Zimmerwald YES Graz. Each cal delivers a full set of values that are stored/attached to a general CAL file. Each cal is compared to the previous one, differences shown to the observer.... Each cal produces also an XML file, sent to Kalvis in Riga. YES Borowiec. Control pre-post YES Herstmonceux. Checks on mean,rms,skew,kirtosis during reduction NPCHECK also checks mean when forming normal points. YES Yarragadee. We have limits on acceptable calibration rms and shift.

Do you have more than one target for comparisons? NO Potsdam. This is limited by the special design of our station. We are using a bistatic system, and the most simple way to perform a calibration is to direct the transmitter signal into the receiving telescope when both telescopes face each other (see the attached image). The receiver FOV intersects with the transmitted beam only after several kilometers, so a remote target would have to be VERY remote... NO Simosato. We have only one target YES Zimmerwald. One internal, two externals NO Graz YES Borowiec. First (standard) 241m, second 1295m YES Herstmonceux. 2 targets at 600M (east), 2 targets at 100m(west), 1 internal target (south) YES Yarragadee. Close in azimuth though, about 10 degrees apart

How is your initial data selection made? – do you use orbit or polynomial fits? Potsdam. We use orbital fits according to the recommendations by Appleby and Sinclair about how to form NPs. Simosato. We use the polynomial fits up to the 31st degrees. Zimmerwald. In real time: - Check of (obs - pred) - Check of (obs - pred) expressed as along track error - Predictions are corrected for confirmed along-track errors Before NP generation: - Data screening: - Least squares fit of constrained short arc to accepted ranges sigma rejection - Iteration - Daytime passes or problematic night time passes: - Visual inspection (graphics) - Interactive removal of outliers or portions of the pass

How is your initial data selection made? – do you use orbit or polynomial fits? Graz. We form residuals (measurements minus predicted orbit) - residuals are fitted with polynomials ; - obvious noise is rejected; sigma iteration / poly fits / final 2.2 sigma rejections; - only returns from nearest retro used, returns from other retros rejected (if we can identify them...) Borowiec. Polynomial fits Herstmonceux Initial selection by hand using a combination of automatic track detection, linear and polymonial fits. This selection uses the O-Cs for each point and as such is dependent on the quality of the predictions (more in software session) Selected data is used to get orbit corrections. This orbit is then used against raw data file and data rejected at 5sigma. This data then has a Gaussian fit and data is kept at 2.5sigma Yarragadee 3 sigma reiterative fit – irv + polynomials

Can you reject parts of the pass? NO Potsdam. No, unfortunately not yet. This is subject to upcoming S/W modifications. YES Simosato YES Zimmerwald. See above YES Graz. Any part; manually; - returns TOO CLOSE to RG begin are rejected automatically (< 50 ns); YES Borowiec. >2.5 sigma YES Herstmonceux Yes – any part manually and any of the semi-train pulses. Software also rejects any pulse in semitrain with too few points or peak-LEHM which does not comply to preset limits. Upper/Lower limits in the initial track selection are hardcoded into the software to avoid inconsistency between observers. YES Yarragadee Yes – any part manually

What error checking is carried out? Potsdam. Edit passes with unusually high RMS values. Target values which are outside a certain range are not accepted and the pass is edited as well. Simosato. After polynomial fits, remove outliers based on statistical criteria. In addition, we check whether the value is appropriate for all columns of the QL Data and the MRT Data by using a checking program when data is sent out. Zimmerwald. RMS of calibrations against standard value (color-dependent), RMS of post-fit residuals against standar value (satellite and color-dependent), average difference between blue and infrared, number of normal points, number of single shots per normal point. Graz. All we can think of.... Borowiec. Standard deviation, skew, kurtosis, normal distribution, normal points standard deviation Herstmonceux. RMS and Peak-LEHM (both satellites dependent). Orbit parameters. Shots/NP. Cal vals. Met values. Yarragadee. SS RMS (>7.5mm Lageos <13.0 mm). At least 30 accepted returns for lageos.

Do you look at any of the following: Analysis reports? Potsdam Yes, preferably the Berne combined analysis report which shows the results from different analysis centres simultaneously. But the reports from single centres are checked as well as soon as they are available. Simosato We see the analysis report in the web page of NICT. We analyze tracking data of Lageos and Ajisai by using the Geodyn-II program on our own. Zimmerwald Weekly Range bias summary report Graz yes Borowiec Delft, NERC occasionally only Herstmonceux Yes Yarragadee Yes

Do you look at any of the following: Short arc? YES Potsdam. The NERC short arc analysis data is checked on a daily basis YES Zimmerwald. Occasionally YES Graz. Occasionally only YES Borowiec YES Herstmonceux. Daily NO Yarragadee. Not usually Long arc? YES Potsdam. The NERC long arc analysis data is checked on a daily base. NO Zimmerwald YES Graz. Occasionally only YES Borowiec YES Herstmonceux. Daily YES Yarragadee

Please give brief details of any QC carried out by your station not covered in above. Simosato. We measure the output of the start detector, and keep the output level constant. We adjust transmission beam divergence in real time and automatically according to the orbit altitude and the elevation of the satellite. We measure the relative position between the fixed point of the telescope and the reference monument once a year by GPS. Graz. We check distribution, all statistical values, shifts in all parameters (meteo, cals, etc.) - we check for all possible "formal" errors; - we check if NPs for this pass already have been tranmitted; - pressure measured with 1 main and 1 control device; - NPs are sent in parallel to a control address (so we can realize if our mail system works properly...); (already gave as successful warnings in 2 cases...) Herstmonceux In realtime we monitor our temp, pressure and hum Vs secondary device. We monitor the dye strength of the laser We monitor temp of laser bed and SR timer. Deviations on either close the system down.