Version 3.53 - October 28, 2001
Improved photometry (Automatic photometry... for Analysis menu).
Interpolation of sinc type (sin X/X) for the spectral data through command L_SINC (introduced with version 3.52). This type of interpolation authorizes a representation finely sampled of the spectral profile while remaining very faithful. Syntax is:
The command changes the scale of the first line of an image by a coefficient [factor]. For example:
Above, the spectral profile observed in high resolution for the Ha region of star 88 Hercule. In green, profile strongly scaled with original sampling. In red, profile re-sampled by the sinc method with a step 50 times finer.
New commands SROT and STRANS are similar to the commands ROT and TRANS (respectively to rot and shift an image), but which the use of the spline interpolation instead of the bilinear interpolation. The spline interpolation allows a safeguarding of the details that the bilinear method (this last produce a smoothing of the image). The automatic processing function for sequences of images for deep-sky or planetary sky accessible via the menu profit now from the spline option.
Demonstration of the use of command SROT. On left, an increased portion of the image test. In the center, a rotation of 10° of the image test with the standard command ROT. On right-hand side, same rotation with command SROT. To note that the stars appear finer on the image of right-hand side than on the image of the center.
Commands GAUSS, GAUSS2 and GAUSS3 can see their smoothing parameter to reach 25 (instead of 9 before version 3.52), which makes it possible to carry out significant smoothings of the images. New command GAUSS3 excludes the edges from the image in order to avoid possible significant residual artifact during smoothings.
Version 3.52 introduce a method of optimized subtraction of the images so as to highlight the differences well being able to exist (command OPT_SUB). This type of function is useful for example for the search for supernovae which slip into the arms of the galaxies. The few images which follow watch a characteristic example of use of this new function.
It is a question of subtract two images of galaxy NGC266 acquired with very different instruments so as to eliminate the galaxy and to highlight a supernova in the first image (that of left). This supernova is in fact an artificial star which was added for the demonstration. It reside just in the south of the core of the galaxy. The image of left has as a name N266_1 and the image of right is N266_2.
The first operation to be realized consists in superimposing the best possible these two images. One modifies for that the geometrical parameters of the image of right-hand side with traditional command COREGISTER:
COREGISTER N266_1 N266_2
Here the result of the operation (we call transformed image TMP):
This stage, the images having the same format, it is completely possible to substrat the first from the second for example. The result hereafter shows the supernova well simulated, but like the spread function the of stars and signal they are not similar you can see star residues in the fields which can generate false detections:
Command OPT_SUB compute convolution kernel with which it is possible to modify the PSF (point spread function) so that it have a maximum of resemblance between the N266_1 image and image TMP. Iris proceeds by convoluting the N266_1 image with the suitable kernel. The calculation of this kernel is carried out by solving a system of linear equations which connect the shape of a star (that one selects with the mouse as a preliminary) common to both images and the shape of the convolution matrix. For run command OPT_SUB it is thus necessary to surround with the mouse a well insulated star, relatively brilliant but unsaturated. It is the center of the selection box which is important and not its size.
At the end of OPT_SUB, the N266_1 image smoothed by the kernel is displayed. You can now substrat this result from image TMP. The stars of the field disappeared well (except saturated stars) and the detection of the supernova, for example by an automatic technique, is not ambiguous any more:
To note that the convolution kernel is saved in the working repertory in the shape of a small file image having the name @k (the elements of the matrix were multiplied by a coefficient 1000). If need be, new command FILE_CONV (version 3.52) makes the convolution of the image in memory by a kernel of your choice (before the convolution is carried out, the values of the matrix are to multiply by Iris by 0.001). For example:
The size of the kernel by default is of 11x11 pixels. This value can be modified by changing the KernelSize variable of the file IRIS.INI which is in the Windows directory of your hard disk.
Below, another example of use of OPT_SUB. From left to right, the first image to compare (note the selected unsatured star for PSF estimation), the second to compare (note the different spatial resolution), the difference between the two later images, and the computed kernel. Use this sequence to display the kernel:
Version 3.5 makes it possible to stop the course of certain functions while click on the red button of the tool bar (useful for example during AVI conversion). This facility covers only part of the functions in version 3.5 and will be generalized later.
Wide possibilities of the adjustment of the
white balance during the colors image processing
And... possibilities of acquiring Webcam images via the new Webcam menu.
BESTOF2 [NAME] [NUMBER]
COREGISTER2 [IN] [OUT] [NUMBER]
CPU [TIME (S)]
DATE2JD [DAY] [MONTH] [YEAR]
FILE_CONV [KERNEL NAME]
GAUSS3 [SIGMA] [BORDER SIZE]
JD2DATE [JULIAN DAY]
MEDIANF [SIZE] [COEF]
PADDING2 [IN] [OUT] [LX] [LY]
SCALE2 [IN] [OUT] [OPTION]
[XF] [YF] [NUMBER]
SCAN [X1] [Y2] [INTEGRATION
TIME] [LINE NUMBER]
SLANT [Y0] [ALPHA]
SROT [CX] [CY] [ANGLE]
STRANS [DX] [DY]
TRACK [NAME] [NUMBER]
TRAIL [Y0] [Y1] [Y2]
VIDEO [X1] [X2] [INTEGRATION
TIME] [SIZE OF A BLOCK] [BLOCK NUMBER]
WINDOW4 [IN] [OUT] [SIZE] [NUMBER]