PPT-PCA Energy Calibration – Lessons for the future

Remember to be alert the data might answer questions you didnt ask Keith Jahoda 29 March 2012 PCA Energy Calibration status Current final calibration is described in Shaposhnikov et al Advances in the RXTE PCA Calibration Nearing the Statistical Limit in preparation. Meters at Combined Temperature & Pressure. Calibration. Stand Update. Tony Wright. Customer Services Manager. Agenda. Background. Project requirements. Calibration Process. Current status. Test plan. Alex Fore, Simon . Yueh. , . Wenqing. Tang, Akiko Hayashi. Drift in Scatterometer Calibration. A very small drift in the scatterometer calibration can be observed over the first few months.. Magnitude of drift is order 0.1 dB. to Multiple Correspondence . Analysis. G. Saporta. 1. , . A. . . Bernard. 1,2. , . C. . . Guinot. 2,3. 1 . CNAM, Paris, France. 2 . CE.R.I.E.S., Neuilly sur Seine, France. 3 . Université. . François Rabelais. M. . Sugizaki. (RIKEN). on behalf of MAXI Team. 2010.11.30 MAXI 2010. 1. GSC Calibration and Analysis Status. Outline. In-orbit . Operation . and Performance. HV Operation History. Background, Sky Coverage,. Ben Balk (AMEC) and Matthijs Lemans (Deltares USA). December 3, 2013. 2. CHPS Calibration Features Agenda. Introduction. Broad overview of initial operating capabilities. Highlight OHD documents and templates. Chin-Jen Lin, George Liu. Institute of Earth Sciences, Academia . Sinica. , Taiwan. Outlines. Calibration . of the following rotational sensors. R-1 . R-2. Two applications to find . true north. Attitude . Recall Toy . Example. Empirical . (Sample). EigenVectors. Theoretical. Distribution. & Eigenvectors. Different!. Connect Math to Graphics (Cont.). 2-d Toy Example. PC1 Projections. Best 1-d Approximations of Data. Matt Galloway. 2. Volumetric water content . sensors. measure volumetric water content, right?. Do thermometers measure temperature?. 3. Temperature is measured by its effect on the physical properties on some substance. . and MDS. Wilson A. . Florero. -Salinas. Dan Li. Math 285, Fall 2015. 1. Outline. What is an out-of-sample extension?. O. ut-of-sample extension of. PCA. KPCA. MDS. 2. What is out-of-sample-extension?. Bioinformatics seminar 2016 spring. What is . pca. ?. Principal Components Analysis (PCA) is a dimensionality reduction algorithm that can be used to significantly speed up your unsupervised feature learning algorithm. More importantly, understanding PCA will enable us to later implement . Presenter: Phillip S. Kott . 1. WSS. . . R . d. k. . [1 . exp. (. x. k. T. g. )]. . z. k. = . T. z . .   . La gamme de thé MORPHEE vise toute générations recherchant le sommeil paisible tant désiré et non procuré par tout types de médicaments. Essentiellement composé de feuille de morphine, ce thé vous assurera d’un rétablissement digne d’un voyage sur . IceCube Calibration Overview Kurt Woschnagg University of California, Berkeley MANTS 2009 Berlin, 25 September 2009 4800 identical sensors in ultraclean, stable ice n m g geometry timing charge ice properties: th. , 2014. Eigvals. and . eigvecs. Eigvals. + . Eigvecs. An eigenvector of a . square matrix. A is a . non-zero. vector V that when multiplied with A yields a scalar multiplication of itself by .