This diagram is a directed acyclic graph representing the ADMIT Task connections for the flow. Each arrow represents the connection from an ADMIT task output to the input of another ADMIT Task. The integer next to each arrow is the zero-based index of the ADMIT Task's output BDP. Note any output BDP may be used as the input for more than one ADMIT Task.
Ingest_AT reads in a FITS image into ADMIT, creating a CASA image and extracting basic information. It is usually the first step in any ADMIT flow.
| Input image (FITS or CASA) | /lma1/teuben/lmtoy/examples/2018S1SEQUOIACommissioning/92998/Ori-KL_92998.nf.fits |
| Output image (CASA) | x.im |
| Object | Ori-KL |
| Rest frequency | 86.243442 GHz |
| VLSR | -5.7 km/s (estimated) |
| Beam | 17.25" x 17.25" PA @ 0.00 deg |
| Imsize | 33 x 33 x 515 |
| Intensity unit | K |
| Data min/max | -1.533E+00 / 9.180E+01 |
| Telescope | LMT |
| Percentage bad pixels | 74.66% |
CubeStats_AT computes image-plane robust statistics on datacubes. These statistics are particularly useful for identifying spectral lines in images where the noise varies as a funnction of frequency.
| CASA image | x.im |
| RMS method | medabsdevmed |
| RMS value | 5.212E-02 |
| Dynamic range | 1.761E+03 |
| Data mean | 2.158E-02 |
Emission characteristics as a function of channel, as derived by CubeStats_AT (cyan: global rms, green: noise per channel, blue: peak value per channel, red: peak/noise per channel).
Peak point plot: Locations of per-channel peaks in the image cube x.im
CubeSum_AT sums all the emission in a cube, regardless of whether or not it comes from different spectral lines, creating a integrated map of all emission.
CubeSum_AT output for x.im
Integral (moment 0) of all emission in image cube
SFind2D_AT creates a list of sources found in a 2D image based on the noise statistics in the image as determined by CubeStats.
Image of input map with sources found by SFind2D overlayed in green.
Table of source locations and sizes (not deconvolved)
| Name | RA | DEC | Flux | Peak | Major | Minor | PA | [] | [] | [] | [Jy] | [Jy/beam] | [arcsec] | [arcsec] | [deg] |
|---|---|---|---|---|---|---|---|
| 1.000E+00 | 23:59:59.957 | -00.00.00.42 | 1.014E+03 | 0.000E+00 | 1.545E+01 | 1.019E+01 | 7.963E+01 |
| 2.000E+00 | 00:00:00.003 | -00.00.53.13 | 1.001E+02 | 6.554E+00 | 3.750E+01 | 3.750E+01 | 9.000E+01 |
| 3.000E+00 | 00:00:02.189 | -00.00.39.20 | 6.584E+01 | 1.349E+01 | 3.750E+01 | 3.750E+01 | 1.800E+02 |
| 4.000E+00 | 23:59:57.762 | -00.00.35.49 | 6.072E+01 | 1.285E+01 | 3.750E+01 | 3.750E+01 | 1.181E-06 |
| 5.000E+00 | 00:00:01.808 | -00.00.56.19 | 4.336E+01 | 8.744E+00 | 3.750E+01 | 3.750E+01 | 9.000E+01 |
| 6.000E+00 | 00:00:03.759 | -00.00.04.21 | 2.455E+01 | 8.503E+00 | 3.750E+01 | 3.750E+01 | 3.921E-07 |
CubeSpectrum_AT computes spectra at one or more (x,y) positions in the datacube. Alternatively, it can produce a spectrum averaged over a box.
CubeSpectrum_AT output for image x.im
![Average Spectrum at centerbox[[17pix,16pix],[1pix,1pix]]](x.csp_0.png "Average Spectrum at centerbox[[17pix,16pix],[1pix,1pix]]")
Average Spectrum at centerbox[[17pix,16pix],[1pix,1pix]]
![Average Spectrum at centerbox[[23h59m59.957s,-00d00m00.42s],[1pix,1pix]]](x.csp_1.png "Average Spectrum at centerbox[[23h59m59.957s,-00d00m00.42s],[1pix,1pix]]")