Simulating ALMA observations of a simulated protoplanetary disk at 50 and 100pc

Input preparation

Sebastian Wolf kindly provided a 900 GHz FITS image of a protoplanetary disk with a jovian planet forming (Wolf and D'Angelo 2005). The image had been converted into FITS format using IDL, and like most numerical simulations, did not come with header values such as a position (why should it?). Also, the image had 64 floating place bits per pixel (BITPIX = -64), which is so far beyond the normal depth of astronomical images that most astronomical software, including CASA, could not display it. Fortunately kvis, from the karma package, could, so the first step was to view it in kvis and export it as a miriad image, which downsampled it to BITPIX = -32. At the time CASA had no task for adding arbitrary headers, so I used miriad to specify the position, epoch, and brightness unit:

  1. puthd in=inputthrukarmass.mir/epoch value=2000.0
  2. puthd in=inputthrukarmass.mir/bunit value=Jy/pixel
  3. puthd in=inputthrukarmass.mir/crval2 value=-23.0,dms
    (declination)
  4. puthd in=inputthrukarmass.mir/crval1 value=18.0,hms
    (RA)
  5. puthd in=inputthrukarmass.mir/cdelt1 value=0.00311,arcsec
  6. puthd in=inputthrukarmass.mir/cdelt2 value=0.00311,arcsec
  7. puthd in=inputthrukarmass.mir/ra value=18.0,hms
  8. puthd in=inputthrukarmass.mir/dec value=-23.0,dms
  9. puthd in=inputthrukarmass.mir/ctype1 value=RA---SIN
  10. puthd in=inputthrukarmass.mir/ctype2 value=DEC--SIN
  11. fits in=inputthrukarmass.mir op=xyout out=inputthrukarmass.fits

Then I read inputthrukarmass.fits into CASA with idlfitstocasaim.py, which also added frequency and Stokes axes.

Changing frequency

Wolf and D'Angelo produced a 900 GHz image from their simulation, which maximizes both the dust brightness for ALMA's frequency range, and the sharpness of ALMA's point spread function. However, ALMA's Tsys is also expected to go up with frequency, the effect of phase noise worsens, and there is always a tradeoff between surface brightness sensitivity and beam sharpness. Taking those effects into account led us to pick 672 GHz as the optimum observing frequency. This meant that two aspects of the input image had to be changed:

  1. its frequency header (handled as in idlfitstocasaim.py), and
  2. its pixel values, using an appropriate spectral index for dust.

The input image after being adjusted to 672 GHz:

Changing distance

The input image came with a distance of 50pc, which is nearly the distance of the closest known example of such objects, the Butterfly Star, at 53pc (actually, the real Butterfly Star is in Taurus, at 140 pc). ALMA should be able to do a good job of imaging protoplanetary disks as far away as 100pc, so I made a copy of the input image and moved the copy out to 100pc by

  1. halving the pixel size (in the header), and
  2. multiplying each pixel value by (50pc/100pc)2. CASA is in the process of writing "task" wrappers for "tools" that essentially come straight from AIPS++, and image arithmetic is an example of where it is still necessary to use a tool directly, specifically the imageanalysis (ia) tool:
       ia.open('input672GHz_50pc.image')
       ia.imagecalc(outfile='input672GHz_100pc.im', pixels='0.25 * input672GHz_50pc.image')
       ia.close()
       

Adding the star

[[http://www.mpia.de/homes/swolf/homepage/html/public/alma/alma-simus.html][Wolf and D'Angelo]] did not include the flux density from the star in the image they supplied, but a star is easy to add using a CLEAN component:

  1. dec = -23
  2. direction = "J2000 18h00m00.03s %sd0m0.0s" % dec # Be careful to get this right.
  3. cl.addcomponent(dir=direction, flux=1.0, freq='672.0GHz')
  4. compname = "star672GHz_dec%d.cl" % dec
  5. cl.rename(compname)
  6. cl.done()

The blackbody flux density of the star is only 0.25 mJy at 50pc, and that has been included in most of the images below. Presumably that is a lower bound, since the dominant source for submm flux from the star and its immediate neighborhood is could well be dust (as it is for the protojovian). However, the star could have destroyed dust grains in its immediate vicinity, or (unlikely at these wavelengths) be attenuated by the dust. We intend to update these simulations soon with a brighter star, if only to test the dynamic range capabilities of ALMA.

Sample almasimmos input parameters

Adding noise

Input (no noise)Observed with ALMA's Y1 configuration, thermal noise only
Observed with ALMA's Y1 (21) configuration, thermal noise with phase corruptions from a water vapor screen exhibiting Kolmogorov turbulenceALMA's Y1 configuration, thermal noise with residual phase corruptions, after correction from WVR and fast switching, using the specification found in ALMA memo 521.

Top left: Protoplanetary disk simulation provided by Sebastian Wolf, as "observed" at 672 GHz by ALMA's Y1 configuration for 8h, but without any noise or phase errors. The disk mass is set to that of the Butterfly Star in Taurus, with an embedded planet of 1Mjup around a 0.5M\u2299 star (orbital radius: 5AU). The assumed distance is 50 pc. The image of the star appears slightly off center because it was added later. The Y1 configuration is the most compact Y configuration, with a 0.025" x 0.020" beam (maximum baseline = 8km, Briggs weighting).

Top right: A same simulated observation, with only thermal noise (Tsys = 540K).

Bottom left: The same simulated observation (incl. thermal noise), with phase corruption from a 100m thick screen with 0.5mm PWV exhibiting Kolmogorov turbulence. (pwvtodelay = 300.0 # fs / mm)

Bottom right: The same simulated observation, also with 0.5 mm PWV, but with residual phase errors (using a specification found in ALMA memo 521) after correction from fast switching and WVR. (pwvtocorrecteddelay = 1.4142 * 0.02 * pwvtodelay + 0.01 / 2.9978e-4, for now see the memo and noisify_alma.py for more details.)

Each image is displayed with the same spatial and intensity scales, and is linked to its FITS file.

The observation simulations were performed by casapy's "almasimmos", which currently does not add thermal or phase noise. That was done with noisify_alma.py, by Kumar Golap and Rob Reid. It's not very general, but it's a start. This object is rather small and easily fits within a single primary beam, so I didn't worry about pointing errors after calculating that they should not make much difference.

New: Wed Apr 18 14:34:13 EDT 2007

The same sim, at 672 GHz, with 30 degrees of phase noise uniformly distributed among the antennas. . This should be nearly the same setup as used by Wolf and D'Angelo 2005 (scroll to bottom), except for the change in frequency.

-- RobReid - 21 Sep 2007
Topic revision: r6 - 2008-08-28, AlWootten
 

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