... Chapter 15. 15.0 Introduction Modeling of Data Given a set of observations, one often wants to condense and summarize the data by fitting it to a "model" that depends on adjustable parameters. Sometimes the model is simply a convenient class of functions, such as polynomials or Gaussians, and the fit supplies the appropriate coefficients. ... The parameters of the model are then adjusted to achieve a minimum in the merit function, yielding best-fit parameters. ... Data are generally not exact. ...

... We demonstrate through numerical simulations that model parameters estimated with our technique are essentially bias-free, even when the average number of counts per bin is 1. ... The IW technique avoids such biases by estimating through successive iterations, where for each iteration, j, , and the best-fit parameters are determined by minimization of . ... In our sample, we find that the minimum values and best-fit parameters converge after about 6 iterations. ...

... CentralProcessor 0.11 documentation . ... These parameters govern the pre-processing needed for the science field, to split by beam, flag, apply the bandpass (although none of the parameters listed here relate to that), and average to continuum resolution. ... FIELD_SELECTION_SCIENCE . ... Range of channels in science observation (used in splitting and averaging). ... Dynamic threshold applied to amplitudes when flagging science field data [sigma] . ... User Parameters - Bandpass Calibration . ...

... We assume that an instantaneous starburst occured in the region of the Galactic center, with half of the stars (in number) being formed in binaries. The total mass of the stars formed during the starburst was taken to be , as indicated by the Tamblyn & Rieke (1993) analysis. ... In fact, the number of stars in IRS 16 estimated by Tamblyn & Rieke (1993) is uncertain within a factor of 2, but this is actually of no importance as long as we only use relative numbers of different X-ray source species. ...

... Meta Index / Home Page This section documents the parameters recognized by this task (if any). ... string . ... yes|no . Yes' forces overwrite of colimchain output. astest . ... Yes' invokes asmooth to smooth the input images before they are supplied to colimplot . ... The maximum allowed value of the width of the smoothing gaussian is specified via this parameter. desiredsnr . ... The maximum desired signal-to-noise ratio of the output image can be specified via this parameter. nconvolvers . ...

In this chapter we will consider an example of visual expert system written on the Actor Prolog language. ... There are a lot of methods of oil field bed stimulation that increase output of the oil production: thermal, physical-chemical, gas, microbiological, and others. ... Fig. ... The Top-Most diagram consists of three blocks: the "Describe parameters of hydrocarbon field" block, the "Check adaptability of existed methods of oil production" block, and the "Display solution" block. ... Gas methods. ...

Next: Parameters Up: How to use CONSTRICTOR Previous: NPOI raw data files Contents . The parameter file contains information for CONSTRICTOR on the location of the raw data files, start and stop times, integration time, etc. ... The parameter file, YYYY-MM-DD.par , can now be created using the rawlist procedure of . ... Check beginning and tail of the listing for each file. ... Next: Parameters Up: How to use CONSTRICTOR Previous: NPOI raw data files Contents Christian Hummel 2015-04-28 ...

A Model Based Approach to LOFAR Calibration and Imaging Stefan J. Wijnholds e-mail: wijnholds @astron.nl AAVP Workshop Cambridge (UK), 8 ­ 10 December 2010 AAVP Workshop , Cambridge , 8 ­ 10 December 2010 -1- The model based approach Traditional approach Model based approach relation between visibility and image planes (FT) ... AAVP Workshop, Cambridge, 8 ­ 10 December 2010 -7- SP example: KL-transform S.J. Wijnholds & A.J. van der Veen, ICASSP 2011, submitted LS-image vs. ...