... The photometry is computed by aperture photometry (phototype=0) with an aperture of 6 image pixels (aperturer=6), an inner background annulus radius of 8 image pixels (innera=8) and an outer background annulus radius of 13 image pixels (outera=13). omphotom imageset=P0123920101OMS006IMAGE_1000.FIT backgroundimageset=P0123920101OMS006IMAGE_1000.FIT oldsrclistset=P0123920101OMS006SWSRLI1000.FIT newsrclistset=test.fits sourceno=1 phototype=1 aperturer=6.0 background=10.0 . ...

Computer Ephemeris for 2014 from DE200/LE200. Orbital parameters of the Sun. Date Mean Perigee Mean Paral Aberrat Epsilon Nutat longitude longitude anomaly Dec 24 272.6887 283.1787 349.5100 8.941 20.832 2326 6.72 -8.19 Jan 3 282.5451 283.1792 359.3660 8.943 20.837 6.71 -8.18 13 292.4016 283.1796 9.2220 8.942 20.834 6.76 -8.11 23 302.2581 283.1801 19.0780 8.935 20.818 6.87 -7.99 Feb 2 ...

The reduction of a given magnitude m to bt is given by: . bt = a.m + b + c.(logr25 - <logr25>) . ... e.(logd25 - <logd25>) . f.(de1950 - <de1950>) . where a, b, c, d, e, f, <logr25>, <t>, <logd25> and <de1950> are constant values given in the table here below for each reference taken into account. The mean bt magnitude is calculated as a weighted mean where the weight (last column) is derived from each source of magnitude as the inverse square of the mean standard deviation. ...

... Computing the true count rates for digital data. ... The following equation is used to find the count rate. x = ( raw counts / sample time ) . ... True count rates for digital data are corrected by using the first equation for a point source and the second for an extended source. a = ( y - pre_amp - darkrate ) / ( highvolt x pt_effic ) . ... True photocurrents (count rates for analog data) are corrected by the first equation for point sources and the second equation for extended sources. ...

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. ...

... Posts tagged ?parameter estimation? ... Leccardi & Molendi (2007) have a paper in A&A ( astro-ph/0705.4199 ) discussing the biases in parameter estimation when spectral fitting is confronted with low counts data. Not surprisingly, they find that the bias is higher for lower counts, for standard chisq compared to C-stat, for grouped data compared to ungrouped. ... Tags: bias , C-stat , chi-square , chisq , Cstat , Fitting , parameter estimation , Peter Freeman , spectra . ... 1 Comment . ...

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 ...

... CentralProcessor 0.11 documentation . ... It can be run with the following command, where ?config.in? is a file containing the configuration parameters described in the next section. ... Parset parameters understood by ccontsubtract are given in the following table (all parameters must have CContSubtract prefix, i.e. CContSubtract.dataset ). ... A number of other parameters allowing the user to narrow down the data selection are understood. ... Parameter . ... Data set file name to work with. ...

... 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. ...

... spectrum . ... sfit . ... define >macro_name< : define a macro . ... meth_range <w1> <w2>: Set wavelength range for fit . data_spectrum <name> : data in "spectrum" format . ... data_sigma <sigma> : define mean standard error in data . ... data_line_set | ... NB: synth uses multiple calls to spectrum , so various Spectrum commands may also be required. synth : find optimum fit by adjusting abundances, v turb , v sin i , and v rad . ... save <fit> : Save the spectrum and best fit from synth . ...

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