Next: Simulations Up: Maximum Likelihood Estimation of Previous: Introduction . The properties of an ensemble of faint galaxies can be defined by the distribution of the parameters of the models that best fit each individual object. ... The model also includes instrumental parameters, such as the sky background (estimated locally) and amplitude of the noise. ... The probability of the observed value is then computed for each pixel using the adopted error distribution. ...

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• Fundamental Parameters, Integrated Red Giant Branch Mass Loss, and Dust
• covar2ellipse.pro (JWST Pipeline routines in IDL)
• CSPICE Routines: EKNTAB_C

Next: Program use Up: Description of program searchdup Previous: Description of program searchdup . Parameter input is done with a graphic user interface. ... Input file: Name of the input catalog file. It has to be formatted, one record per source/observation, according to the format used in the Arcetri observations and source archives. ... Minimum number of observations per source Source with less than this number of independent observations are not included in the output file . ...

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• Determination of the Detector Parameters
• SteMaGE

... Starting from a grid of theoretical population synthesis models we constructed a set of model galaxies with a distribution of ages, metallicities and intrinsic reddening. ... We propose an optimization technique that combines active learning with an instance-based machine learning algorithm. ... In order to solve the problem more efficiently, we pose it as a learning problem, where a learning algorithm learns the reddening parameters , and with a forward model we compute . ... Let be the test set. ...

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• Bias-Free Parameter Estimation with Few Counts, by Iterative Chi-Squared
• Recent Advances in Parameter Estimation in Astronomy with Poisson-Distributed
• Modelling Spectro-photometric Characteristics of Eclipsing Binaries

... casa::Weibull . ... Weibull ( RNG *gen, Double alpha=1.0, Double beta=1.0) . ... alpha () const . ... These function allow you to manipulate the parameters (alpha & beta) described above through the base class. virtual Vector < Double > . ... The Weibull class implements a weibull distribution with parameters alpha and beta . ... Double casa::Weibull::alpha . ... Double casa::Weibull::beta . ... virtual Double casa::Weibull::operator() . ... virtual Vector < Double > casa::Weibull::parameters . ...

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• casacore: casa::Poisson Class Reference
• casacore: casa::Geometric Class Reference
• casacore: casa::Uniform Class Reference

... In brief: the frequency-dependent radiative transfer equation is solved for a dust under assumption of spherically-symmetric geometry for its distribution taking into account particle size distribution and quantum heating effects for the very small dust particles. ... Table: Model parameters for IRAS04296+3429. ... parameter . ... hot dust shell) . ... The best fit to the spectral energy distribution of IRAS04296 is shown by heavy solid line (see Table2 for details concerning parameters of the model...

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• Description of algorithm
• SCORPIO-2 project: description
• проект SCORPIO-2: parameters

... FTP access the basic models is here . ... Below, we put short descriptions of the used SED models for the photometric redshifts providing by the current server . ... The uniqueness of this model consists in expanding to the near IR (NIR) of Rocca-Volmerange and Guiderdoni's (1988) atlas of synthetic spectra with a revised stellar library, which includes parameters of cool stars. ... Homepage of the GISSEL model). ... Another model used earlier is the model of synthetic spectra of Poggianti (1997). ...

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Next: Calling Parameters Up: CAL_rgsGetScatter Previous: CAL_rgsGetScatter Contents . ... is the r.m.s. surface roughness for two scatter models; is either small or large for small angle scatter, and large angle scatter, respectively. ... Note that the surface roughness for the large angle scatter is parameterized as a function of wavelength and its value is obtained with . ... The fraction of scattered light for small/large angle scatter is . ... This is not performed by this function. ...

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Next: Power of test Up: Basic principles of Previous: Test statistics . In principle, it is possible to compute a value of the statistic for a single frequency and to test its consistency with a random signal ( ). ... The factor N means that there is an increased probability of accepting a given value of the statistic as consistent with a random signal. ... In the command individual descriptions, we often refer to probability distributions of specific statistics. ...

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• Session Parameters
• The main observational parameters
• Estimation

... dust_AbsXSec . Absorption Cross section. typedef void . ... Calculates the equilibrium temperature given the absorption cross section and a radiation field. double . ... Calculates the absortion cross section of a species/size of dust grain . ... The grain absorption cross section . ... The absorption cross section of the grain . ... Calculates the equilibrium emission at wavelength lambda from a (large) grain at temperature T and with absorption cross section xsection. double dust_EquiT . ...

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• DUST: rastsizedist.hxx File Reference
• B Bayesian value for
• DUST: dust_silsdpars Struct Reference

polimodel -- Produce model linear polarization and position angle images . ... Whether to apply random errors to output polarization and position angle values. seed = "" [integer] . ... This task produces a model linear polarization image and corresponding position angle image from an input image assumed to represent intensity (Stokes I parameter). ... A threshold for the input image can be defined such that polarization and position angle are not computed for input values less than this threshold. ...

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• IAU Symp317 Scientific Program
• KMOS Exposure Time Calculator
• Preparation of parameter file

polimodel -- Produce model linear polarization and position angle images . ... Whether to apply random errors to output polarization and position angle values. seed = "" [integer] . ... This task produces a model linear polarization image and corresponding position angle image from an input image assumed to represent intensity (Stokes I parameter). ... A threshold for the input image can be defined such that polarization and position angle are not computed for input values less than this threshold. ...

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