13.
 
IDENTYFIKACJA WIDMA POROWNANIA
 
noao/imred/kpnocoude/identify
 
 
edytujemy identify.par
 
kp> e
eparam identify
 
wazne paramatry
(coordli=   linelists$thar.dat) User coordinate list
(ftype  =             emission) Feature type
(fwidth =                  3.5) Feature width in pixels

-----------------------------------------------------------------------------
                                    I R A F
                     Image Reduction and Analysis Facility
PACKAGE = kpnocoude
   TASK = identify
 
images  =                       Images containing features to be identified
(section=          middle line) Section to apply to two dimensional images
(databas=             database) Database in which to record feature data
(coordli=   linelists$thar.dat) User coordinate list
(units  =                     ) Coordinate units
(nsum   =                    1) Number of lines/columns/bands to sum in 2D
images
(match  =                  0.2) Coordinate list matching limit
(maxfeat=                  100) Maximum number of features for automatic
identifi
(zwidth =                 100.) Zoom graph width in user units
(ftype  =             emission) Feature type
(fwidth =                  3.5) Feature width in pixels
(cradius=                   4.) Centering radius in pixels
(thresho=                  10.) Feature threshold for centering
(minsep =                   4.) Minimum pixel separation
(functio=             legendre) Coordinate function
(order  =                    3) Order of coordinate function
(sample =                    *) Coordinate sample regions
(niterat=                    3) Rejection iterations
(low_rej=                   3.) Lower rejection sigma
(high_re=                   3.) Upper rejection sigma
(grow   =                   0.) Rejection growing radius
(autowri=                   no) Automatically write to database
(graphic=             stdgraph) Graphics output device
(cursor =                     ) Graphics cursor input
crval   =                       Approximate coordinate (at reference pixel)
cdelt   =                       Approximate dispersion
(aidpars=                     ) Automatic identification algorithm
parameters
(mode   =                   ql)
---------------------------------------------------------------------------

thar.dat -  List of thorium-argon lines (3180 - 9665),
                   A CCD Atlas of Comparison Spectra: Thorium-Argon Hollow
                   Cathode 3180 A - 9665 A, revised Feb. 1992,Daryl Willmarth.
 
henear.dat -  Selected list of HENEAR lines to be used for
                   KPNO IIDS/IRS reductions - this list is identical to
                   that in the KPNO mountain reduction software for these
                   instruments.  Source of wavelengths:  1982 MIT
                   Wavelength Tables Vol. 2.  Multiplet numbers from
                   Charlotte Moore's A Multiplet Table of Astrophysical
                   Interest 1972.
 
 
 
 
 
kp> identify 3aug026-023.ms
 
otwiera sie okienko z widmem
 
mysza i m zaznaczamy,  wpisujemy dlugosc linii
d kasuje oznaczenia
f fituje
d kasuje zle punkty
q wracamy do oznaczania linii
itd.
 
l dopasowuje (po fit) linie z podanego katalogu, jezeli mamy wpisana poprawna nazwe katalogu
 
na koniec q
 
Write feature data to the database (yes)?
kp>
 
KOLEJNE WIDMA POROWNANIA IDENTYFIKUJEMY PRZY POMOCY REIDENTIFY !

 
kp> reident
Reference image: 3aug026-023.ms
Images to be reidentified: 3aug026-024.ms
kp>
 
sprawdzamy
 
kp> identify
Images containing features to be identified (3aug026-023.ms): 3aug026-024.ms
identify 3aug026-024.ms - Ap 1
 
f fit
q
wychodzimy q