Äîêóìåíò âçÿò èç êýøà ïîèñêîâîé ìàøèíû. Àäðåñ îðèãèíàëüíîãî äîêóìåíòà : http://www.naic.edu/~phil/notes/idlspcproc.html
Äàòà èçìåíåíèÿ: Wed Jan 28 23:42:09 2004
Äàòà èíäåêñèðîâàíèÿ: Tue Oct 2 05:02:18 2012
Êîäèðîâêà:
Ïîèñêîâûå ñëîâà: dust disk

Using idl to process AO spectral line data

May 2003 (this work is in progress...)

AO jargon
Generic cor routines.

I/O (reading data).
Display (spectra, total power).
Image display routines.
Manipulating/computing with cor data structures.
Informational routines.
Misc.

Cals.
Processing position switch data.
Processing stokes data (non calibration runs).
Process ON scans (no off).
Using the data archive.
Using the calibration archive.
Scanlist based routines.

Idl basics: (top)

setting up,logging in

idlstartup, logging, attach arecibo code, exiting.

What idl can do:

entering cmds, editing cmd lines, input from files, batch, run.
constants, variables,arrays, structures, operators, procedures, functions.
programming in idl
control structures, for, while, if, do until, goto.
i/o: opening, closing files.
plotting, colors, imgdisplay, hardcopy
gotchas: commas, retall, assigning anonymous structures to each other, passing, returning subarrays to procedures.

AO jargon. (top)

Generic cor routines. (top)

I/O (inputting data). (top)

open a datafile.
open the online datafile: coronl()
list contents of a file: corlist
input 1 or more records: corget(),corgetm()
input 1 scan: corinpscan()
input just the power info: corpwr()
input power info from all recs in a file: corpwrfile()
input just the headers: corgethdr()

Display (spectra, total power) (top)

plot spectra (single or and array): corplot
plot total power vs za: corplttpza
plot single spectra, flag recombination lines: corplotrl
plot every spectra in a file: cormon
plot spectra, rms, and images for an entire file: cormonall
strip chart recording of total power in a file: corstripch
plot every spectra usind pixwins for smoother plotting: corloopinit,corloop

image display routines: (top)

make and then display an image of a cor dataset: corimgdisp()
input and make an image of a position switch dataset: corimgonoff()
loop thru a file making images of all position switch datasets: pfcorimgonoff()

create an image for 1 sbc of a scan: corimg() .. outdated use corimgdisp()

manipulating/computing with cor data structures: (top)

doing math with cor records/scans (+,-,/,*, normalize, scalar ops): cormath()
accumulating cor recs/scans: coraccum()
averaging cor recs/scans/polarizations: coravg()
create a subset (by brd/sbc) of a cor dataset: corsubset()
hanning smooth data (in frequency) : corhan()
boxcar smooth data (in frequency): corsmo
median filter (by channel over time) a set of recs: cormedian()
compute rms (by channel over time): corrms()
compute the acf from the spectra: coracf()
scale spectra to kelvins using the cals: corsclcal()
compute mean,rms for cor dataset using a mask: corstat()

Informational routines: (top)

print summary info about a record: correcinfo()
see if two cor data sets have the same structure (so they can be in 1 array): corchkstr()
get the freq/vel array for a cor record : corfrq()
see if a subband is flipped in frequency : corhflipped()
return topocentric freq of band center: corhcfrtop()
return rest freq of band center: corhcfrest()
return the polA,B cal values for a sbc: corhcalval()
check if a header is a calon or cal off: corhcalrec()
see if a sbc is taken in double nyquist mode:corhdnyquist()
return telescope gain value for a sbc: corhgainget()
see if sbc taken in stokes mode: corhstokes()
check that header is a calonoff: chkcalonoff() (use corhcalrec instead)

MISC (top)

create an array of corget structures: corallocstr()
store a correc into an array : corstostr.
interactively baseline a dataset: corbl()
automatically baseline a dataset: corblauto()
return the digital filter bandpass for correc: cordfbp()
compute distance from ra,dec to req position of rec: corcmpdist()
interactively create a freq mask for a rec: cormask()
compute recombination line frequencies: recombfreq()
search for recomblines in a freq range: recombsearch()

CALS: (top)

process cal on/off recs: corcalonoff()
process calonoff recs with a mask: corcalonoffm()
return the polA,B cal values for a sbc: corhcalval()
check if a header is a calon or cal off: corhcalrec()

Processing position switch data: (top)

process 1 onoff pair: corposonoff()
process 1 onoff pair with channel mask: corposonoffm() .. needs to be updated.
process all onoff pairs in a file: pfposonoff()
take many pfposonoff() datasets and create arrays by src: corsavbysrc()
plot total power vs za. Shows repeatability of on,offs : corplttpza()

Processing stokes data (non calibration runs) (top)

process scan taken in stokes mode (with no off source): corstokes()

Process ON scans (no off) (top)

scale to kelvins, optionally flatten src only recs: corcalib()
run corcalib() on an entire file : pfcalib()

Using the data archive: (top)

The data archive consists of tables containing header information for each scan taken at the observatory as well as pointers to the location of the header/spectral data on disc. This data is accessed via the idl routines listed below. A user would call arch_gettbl() to input the table (or a subset of it). corfindpat() can create subsets of the table. arch_getdata() or arch_getonoff() can be used to read in the spectra. See arch_gettbl() for a description of the table entries.

input archive table (or subset of it): arch_gettbl()
input the data (spectra) for a subset of the archive table: arch_getdata()
input and process on/off pairs in the archive: arch_getonoff()
input a map using the data archive: arch_getmap()
find a set of patterns (onoffs, cals, x111,etc) in a table: corfindpat()
find all scans with a radius of an ra,dec (used tbl): cortblradius()
create the archive by scanning all files: sl_mkarchive(), sl_mkarchivecor()

Using the calibration archive: (top)

The calibration archive contains all of the calibration scan (heiles calibration) done at the observatory. It is updated at the beginning of each month. Each measurement is a structure containing the results of the fitting for a single frequency. mmgetarchive() can be used to recall the data. mmplotgtsb(),mmplotcsme, mmplotazza(), and mmplotpnterr() can be used to generate various plots.

input a subset of the archive data into an array of structures: mmgetarchive()
plot the azimuth, zenith angles used in a set of measurements: mmplotazza()
plot the gain, Tsys, SEFD, and beamwidths: mmplotgtsb()
plot the coma, sidelobes, and beam efficiencies: mmplotcsme()
plot the pointing error: mmplotpnterr()

scanlist based routines: (top)

find a set of patterns (onoffs, cals, x111,etc) in a scanlist: corfindpat()

 home_~phil