The name of the MDA file to read. This is a very simple procedure.
Reconstructs a sinogram into an image using backprojection. This should have been filtered before calling this function. This function returns the reconstructed image. Mark Rivers, May 13, See backproject. Performs tomographic reconstruction using the "gridrec" algorithm written by Bob Marr and Graham Campbell not sure about authors at BNL in The basic algorithm is based on FFTs.
It reconstructs 2 data sets at once, one in the real part of the FFT and one in the imaginary part. The column containing the rotation axis. The default is the center of the sinogram. The reconstructed image from Sinogram1. The reconstructed image from Sinogram2.
This environment variable must be defined and must contain the name typically including the path to a valid shareable library or DLL. This is done by reconstructing a single slice with a set of rotation centers and measuring the image entropy for each reconstruction.
The optimum rotation center is the one that produces the minimum image entropy. The rotation center to seach about for the optimum. This can be thought of as the initial guess of the optimum rotation center Step: The step size in pixels for the rotation center array.
This can be a floating point number, i. The number of rotation center positions to use. This function returns the index of the center position that results in the minimum entropy in the reconstructed image.
An output array of dimensions NumCenter. It contains the center positions used in the optimization.
It is computed as: It contains the entropy of the reconstruction at each center position. The entropy of a slice is computed as follows: An output float array of reconstructed slices [numPixels, numPixels, numCenter]. The minimum reconstructed value to be used when computing the histogram to compute the entropy.
The maximum reconstructed value to be used when computing the histogram to compute the entropy. This procedure reads a tomography data set from individual Princeton Instruments. It writes a 3-D volume file to disk. This function is a simple wrapper around TOMO:: See the documentation for TOMO:: The following example will read files Mydata1.
SPE, using a constant dark current of 50 counts at each pixel. This data set is assumed to have white field frames in it. The output file will be Mydata. Mark Rivers, March 27, This makes the identification of zingers versus high-frequency structure in the whitefield much more robust.
Reconstructs a single slice in a tomography volume array. The number of the slice to be reconstructed. An array of angles in degrees at which each projection was collected. This function returns the reconstructed slice.
It is a floating point array of dimensions NX x NX. It also prints the time required for each step at the end.This IDL facility provides a means to read from a FITS file an ascii or binary table extension containing power spectrum (C(l)) or spherical harmonics (a l m) coefficients, and returns the corresponding power spectrum ().Reads primary and extension headers if required.
This IDL facility provides a means to write into a FITS file as an ascii table extension the power spectrum coefficients passed to the routine. Adds additional headers if required. The facility is primarily intended to allow the user to write a theoretical power spectrum into a FITS file in the correct format to be ingested by the HEALPix.
Reading ASCII Data Files. QUESTION: I have an ASCII data file named metin2sell.com with a three line header and three columns of data. I want each column to be a separate IDL vector. The number of rows in the data file is variable, but the number is written in the second line of the header.
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There are two main file format for IFS final data products, and one further prospective format. The first of these file formats is a MOS style multi-extension FITS file, and is being put forward by the GEMINI group (see Section ).The other main format is an x y λ —data cube which is used by the Durham group (i.e.
for SMIRFS and TEIFU data) (see Section ). The ASCII_TEMPLATE function presents a graphical user interface (GUI) which generates a template defining an ASCII file format.
Templates are IDL structure variables that may be used when reading ASCII files with the READ_ASCII routine.