Additionally, the WAPPS data in search mode uses all 4 boards, but the lbw code can only handle 1 board at a time, so we also need to select which board to work on (1,2,3, or 4). These files are in a format not fit for human consumption, so the first thing is to transform it into something intelligible. The data from each observed source is saved in a "wappfile," which is the output from the WAPPS (the backend that we use for LBW observations). IDL> lbwquicklook, file='/share/wappdata.now/wapp.',smo=5,/vel,board=3,/gps IDL> lbwquicklook, file='/share/wappdata.now/wapp.',smo=5,/vel,board=3,xrange= IDL> lbwquicklook, file='/share/wappdata.now/wapp.',smo=5
#IDL GAUSSIAN HOW TO#
ON-OFF pair" in the ALFALFA followup observers' checklist.īe sure that you know how to run (and interpret) "lbwquicklook" with its various options, e.g. The quicklook command as described in the section on Check the spectrum produced by each Now you have all the programs you should need at your disposal.Īs you start each new source, take a quick look at each of the four spectra ("quadrants") produced by our search mode using Run since things can get confused if you don't. IDL> that if you have previously compiled you should run a.
#IDL GAUSSIAN SOFTWARE#
IDL> cd,'/share/a2010-2/work/mar2013/teamA'Ĭompile the software that we will need to reduce the data: Note that if you are working on data at Arecibo, be sure to do your work in the correct directory, e.g.: To get started, open an idl session (type idl in a terminal).
Note that this is not necessary if you are working at Arecibo or as This will add the idl_lbw directory to your IDL path on startup. Add the following line (if you are working with code stored at Cornell):.If you haven't reduced LBW data before, make sure that idl can find the lbw reduction routines. These instructions detail the steps involved in the reduction of a single source. Part I: Data Reduction of Individual Sources Include derived parameters like distances and HI masses in your catalog.Create a CSV catalog which can be manipulated in programs like TOPCAT.Create an easily readable ASCII catalog.Recall the plot of a source after you have reduced and saved itĪfter you have reduced all of your LBW sources, you may want to put the data from these sources into a catalog.Combine multiple observations of a single source.Boxcar smooth the data (the data are automatically hanning smoothed).These instructions also give some guidance on other things you may want to do Measure the parameters of the source (if there's a source).If there is a detection, you do not need to measure the rms in the quadrants other than the one containing the signal. Check all four spectra taken in search mode ("quadrants") to see if there is a detection in any of them.These steps aren't hard, but things can go wrong if they aren't done with care. *note: We have several lbw followup proposals, so the wappfile name might be a2899.****.fits, or a2941, or a2982 etc.īelow is a detailed explanation of the steps involved in reducing LBW data.
Save, lbwsrc, filename=lbwsrc.LBWsrcname + '_b'+strn(board)+'.sav' Lbwtoascii, lbwsrc, filename=lbwsrc.LBWsrcname + '_b'+strn(board)+'.txt' ***** Reduce an individual source: if the files were just observed: If you are not one, be sure to read through the rest of the document Here is a short command summary for experienced LBW data reducers. We use the WAPPS for precursor APPS programs, like a2941, and APPS programs, like a2982.Data taken in "survey mode" uses the WAPPS.If you are uncertain which correlator produced your data, note that: If you are using MacOS and have problems with the mouse clicks, see if David's If you are instead working with data taken using the interimĬorrelator, see the IC version of these instructions here. This page documents the procedure for reducing data taken with LBW and the ALFALFA Followup - Data Reductions for LBW Data L-Band Wide ALFALFA Followup Data Reduction Instructions