Next: Star Formation Rate and Up: No Title Previous: Calculation of Evolutionary Tracks . To start calculations, we choose the distributions of the initial binary parameters: the mass of the primary ZAMS component, , binary mass ratio, , orbital separation a . ... whereas the mass ratio distribution is not. ... The zero assumption often made is that the mass ratio distribution has a flat shape, that is binaries with a high mass ratio occur as frequently as those with equal masses. ...

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• Initial binary parameters
• Dependence on the Scenario Parameters and Initial Distributions

Next: HST Paper Products: A New Way to Look at HST Data . ... After providing on-the-fly re-calibration of HST data to archive users, ST-ECF has embarked on a new project aiming at grouping, cosmic ray cleaning and drizzling images taken by most HST instruments. ... The production of the missing jitter files combined with the extraction of additional engineering parameters will greatly enhance the homogeneity and the scientific value of the entire archive. ... 1995, HST Data Handbook, STScI, 107 . ...

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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
• Indexing and Searching Distributed Astronomical Data Archives

... Parameter . ... yes . typelist of files . A list of spectrum files from a set of observations, referring to one RGS instrument and one spectral order. These spectra files must be produced using the attstyle=user and associated parameters from a call to rgsproc . ... list of files . ... If this parameter is set to yes, the spectra files of the input lists will be combined to produced a combined spectrum file each for both spectra and background spectra files. filermf . ... file . ...

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• Description
• Procedure
• Generation from In-Orbit Data

... 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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• Determination of atmospheric parameters and calculation of chemical composition
• harak_e

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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• generate_ramp.pro (JWST Pipeline routines in IDL)
• Abstract
• Fundamental Parameters, Integrated Red Giant Branch Mass Loss, and Dust

... Column 1 gives the object name from the Case or Markarian catalogs. ... For Markarian galaxies the errors of coordinates usually lie inside 2'' (Lipovetsky [ 1983 ]). Column 4 gives the eye-estimated apparent blue magnitudes according to the same sources. ... Other names of a galaxy we give in column 7. ... In column 3 we cite the original emission-line code of the galaxy for the strength of [O III ] doublet according to the Case catalog (s - strong, m - medium, w - weak). ...

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• Corrections to the probability distribution
• Back-Illumination Paper-CCD Operations
• Session Parameters

... The Miriad task uvgen can be used to simulate a variety of observing modes. ... Simulating a telescope approximately, let alone in some detail, requires a good many parameters. uvgen takes an appreciable number of parameters and input files to describe the telescope, correlator and source. Fortunately keyword and set-up files for some common situations exist ( e.g. simulating the ATCA and VLA). ... For example, to load typical parameters for the ATCA, use miriad% source $MIRCAT/uvgen.def.atca . ...

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• casacore: casa::Weibull Class Reference
• casacore: casa::Poisson Class Reference
• Package: n

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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... The dayside auroral precipitation consist of magnetosheath related boundary layer precipitation, and plasma sheet related BPS/CPS precipitation (extensions of the nightside precipitation regions). ... For example, the much lower fluxes from the LLBL region when compared to the cusp are compensated by the bidirectional electron beams found in the LLBL: the precipitating energy fluxes in the LLBL and the cusp are not that different. ... directly through the cusp and plasma mantle . ...

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• List of currently available KP AZ.

... Armagh Observatory, College Hill, Armagh BT61 9DG, +44 (0)28 3752 2928 . ... Quasi-stationary electron distributions for the different values of the particle escape time. ... The electron-cyclotron maser instability is widespread in the Universe, producing, e.g., radio emission of the magnetized planets and cool substellar objects. ... The model used takes into account the radiation escape from the source region and the particle flow through this region. ...

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• SCL Sfit Genetic Commands
• ffit help file
• C. Refereed Journal Publications 2001

... A means to update the model parameter probability distributions based on data. ... The posterior distribution represents the updated knowledge regarding the unknown model parameters after observing the data and other information pertaining to the unknown parameters. ... The prior distribution is a probability distribution that quantifies knowledge regarding unknown quantities (e.g., model parameters) prior to observing the data or other information pertaining to the the unknown quantities. ...

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