not sure what you are saying. the point is not that you don't use the core antennas in the selfcal, just that you don't use the core baselines. you still use the core antenna correlations with the outriggers, as long as they are long enough. of course, if even the core to outrigger baselines are shorter than the cutoff, then indeed, you are done. and there is the question of whether you have enough baselines to get good solutions.

On 12/11/2015 08:48 AM, danny jacobs wrote:
It all comes down to array configuration. For example, if you cut the MWA at 250 wavelengths, thats basically all of the core. Many antennas would be cut completely. Heck that would be _all_ of PAPER and most of HERA. Since lofar only has a few baselines in this range, its more like the VLA. They can calibrate off of long baselines with a simple model at the cost of trading away those sensitive short baselines.

On Fri, Dec 11, 2015 at 8:42 AM, Chris Carilli <[email protected] <mailto:[email protected]>> wrote:

    for self cal of complex objects,  the issue is not point sources,
    but how accurately your model represents the true sky?  a rough
    indication is the ratio of total flux in your model vs. the total
    flux in a given visibility. clearly, if your model has much less
    total flux than the visibility, you are making a mistake.

    for CLEAN models, the approximation is that extended sources can
    be modeled by a bunch of point sources. all of which you fold into
    the self cal, but that is a detail.

    cc






    On 12/11/2015 07:55 AM, Adam Beardsley wrote:
    From what I understood from Ger's talk in Albuquerque (and maybe
    I misunderstood) was that they've always excluded some short
    baselines, they are just being much more aggressive now. I don't
    know what they were using previously, but the current calibration
    excludes baselines < 250 wavelengths. So I wouldn't say they're
    just getting around to realizing this bias, but they are being
    more conscience of it.

    As a side note - 250 wavelengths seems really far out there (from
    an MWA background anyway). What does that do to your calibration
    when you're essentially chopping all baselines that _do_ see your
    calibrator as a point source?

    -Adam

    On Fri, Dec 11, 2015 at 6:37 AM Chris Carilli <[email protected]
    <mailto:[email protected]>> wrote:

        funny. leaving out short spacings in self cal is standard
        practice at the
        VLA since the 1980's, for the obvious reason that the model
        rarely
contains all the flux density seen on short baselines. surprised they are
        just getting around to this now.

        do they perform the power spectral analysis on final image
        cubes in 3D?

        cc



        > Bonjour Heratics,
        >
        > I talked to Saleem and Leon quite a bit in Paris
        (supposedly, all the
        > talks
        > were filmed <http://ilp.upmc.fr/firstlight/program.php>,
        but only the
        > first
        > two days have been posted and that doesn't include either
        talk or mine).
        > Some interesting tidbits and clarifications:
        >
        >    - The key improvement over previous results is that they
        now use only
        >    the long baselines to calibrate (especially the
        direction-dependent
        >    calibration). Before using short baselines in the
        direciton-dependent
        >    calibration caused a loss of all diffuse structure,
        which got absorbed
        > into
        >    their inferred beams. That calibration is done on every
        10 seconds of
        > data.
        >
        >
        >    - The LOFAR analysis strategy has been repeated
        iterations of refining
        > a
        >    source model, calibrating to it, and rerunning all their
        analysis.
        > They've
        >    done this ~10 times so far. They say it'll get a lot
        faster now, since
        > they
        >    just bought a big new analysis cluster. On the other
        hand, the analysis
        >    scales with the amount of data used and this limit comes
        from ~150
        > hours
        >    out of the ~2000 they have in the can (about 4 petabytes).
        >
        >
        >    - The power spectrum error bars (e.g. on slide 25 of
        Ger's talk) are 2
        >    sigma. The power spectra really are inconsistent with
        noise at all k,
        >    though they only go up the a relatively modest k
        corresponding to a 0.4
        > MHz
        >    binned channel width.
        >
        >
        >    - Saleem showed variance statistic plots as a function
        of frequency,
        >    both for Stokes I and Stokes V. Stokes V look at the
        10ish mK level, I
        > at
        >    the 50ish mK level. Those numbers are hard to interpret,
        since the
        > variance
        >    statistic (both data and theory) depend on the smoothing
        scale in
        >    frequency. He also showed a "cross RMS" which came from
        correlating
        >    neighboring channels (on roughly the 100 kHz scale),
        which gave
        > slightly
        >    better results (40ish mK). This is a harder statistic to
        interpret,
        > since
        >    the correlation of EoR structure between channels on
        that scale is not
        >    100%. It seems strange to me that they wouldn't look at
        interleaved
        >    channels, since they have so much spectral resolution at
        the outset,
        > but
        >    they must have to bin too coarsely in frequency at some
        intermediate
        > stage
        >    for that to work.
        >
        >
        >    - Saleem said that LOFAR didn't see the wedge in their
        final result,
        >    referring to the same slide as Ger's slide 24. Whatever
        their
        > systematics,
        >    they must mix k_perp modes. After his talk, Saleem
        showed me some power
        >    spectra with less foreground subtraction that he said
        had "wedge
        > structure"
        >    in them. It was really hard to tell how "wedge-like"
        they were, in part
        >    because they were small and over a limited k range, and
        in part because
        >    they used those contours plots that are so hard to read.
        >
        > -Josh
        >
        > On Wed, Dec 9, 2015 at 11:36 PM, Saul Kohn
        <[email protected] <mailto:[email protected]>> wrote:
        >
        >> This is published online (no login required; the
        conference website), so
        >> I
        >> think it's kosher to share. Check out slides 23-25.
        >> http://lwa.phys.unm.edu/abq2015/talks/deBruyn.pdf
        >>
        >> Saul
        >>
        >> On Thu, Dec 3, 2015 at 9:12 AM, Adrian Liu
        <[email protected] <mailto:[email protected]>> wrote:
        >>
        >>> Absolutely, it’s complementary and valuable. It’s
        definitely a
        >>> result
        >>> that’s not just line-of-sight, and relies on foreground
        subtraction
        >>> at low
        >>> k’s. The foregrounds were removed using the GMCA
        algorithm, with 6
        >>> components, though (understandably) during the talk they
        didn’t go
        >>> into too
        >>> much detail about it. (I had to talk to Ger afterwards to
        get the
        >>> number 6).
        >>>
        >>> Ger will unfortunately not be here on Friday, which is
        why he had to
        >>> present yesterday even though all the other EoR talks are
        on Friday.
        >>>
        >>> > On Dec 3, 2015, at 6:50 AM, Chris Carilli
        <[email protected] <mailto:[email protected]>> wrote:
        >>> >
        >>> > well, yes and no. the number may not be much different,
        but, if they
        >>> are
        >>> > doing this in the image domain as well as line of
        sight, it shows
        >>> that
        >>> > progress can be made in 3D. that is, if the result is
        believable? I
        >>> would
        >>> > assume so, given they are presenting in public, but
        need to see
        >>> paper.
        >>> and
        >>> > maybe they are focusing on LoS PS?   mantra: 'multiple
        approaches and
        >>> > experiments are good...'
        >>> >
        >>> > I will be talking about PAPER and HERA at New Mexico
        Tech physics
        >>> dept
        >>> > today at 4PM, for those in ABQ who might be bored and
        want to take
        >>> the
        >>> > drive...
        >>> >
        >>> > I will be in ABQ friday and will try to get some info
        from Ger.
        >>> >
        >>> > cc
        >>> >
        >>> >
        >>> >
        >>> >> as i mentioned earlier, saleem said that the limits were
        >>> "PAPER-like",
        >>> so
        >>> >> nothing revolutionarily new...  he also mentioned
        moving back to the
        >>> power
        >>> >> spectrum statistic, in lieu of the variance, since the
        foregrounds
        >>> were
        >>> >> easier to deal with...
        >>> >>
        >>> >>> On 03.12.2015., at 14.30, Adam Beardsley
        >>> <[email protected]
        <mailto:[email protected]>>
        >>> >>> wrote:
        >>> >>>
        >>> >>> mK
        >>> >>>> On Thu, Dec 3, 2015 at 6:30 AM Jonathan Pober
        >>> >>>> <[email protected]
        <mailto:[email protected]>> wrote:
        >>> >>>> 20 or 30 mK or mK^2?
        >>> >>>>
        >>> >>>>> On Wed, Dec 2, 2015 at 11:47 PM, Adrian Liu
        <[email protected] <mailto:[email protected]>>
        >>> >>>>> wrote:
        >>> >>>>> Yes. They have both P(kperp,kpara) limits as well
        as P(k) limits.
        >>> No
        >>> >>>>> mention of the variance method today.
        >>> >>>>>
        >>> >>>>>> On Dec 2, 2015, at 9:42 PM, danny jacobs
        >>> <[email protected] <mailto:[email protected]>>
        >>> >>>>>> wrote:
        >>> >>>>>>
        >>> >>>>>> But this is a power spectrum limit rather than
        with the variance
        >>> >>>>>> method?
        >>> >>>>>>
        >>> >>>>>>> On Wednesday, December 2, 2015, Saul Kohn
        >>> <[email protected] <mailto:[email protected]>
        >>> >
        >>> >>>>>>> wrote:
        >>> >>>>>>> Hi all,
        >>> >>>>>>>
        >>> >>>>>>> To follow this up, Ger made a LOFAR EoR project
        overview
        >>> >>>>>>> presentation (probably the same one as Dave was
        mentioning) in
        >>> >>>>>>> Albuquerque this afternoon.
        >>> >>>>>>>
        >>> >>>>>>> They were hazy on the details of power spectrum
        estimation from
        >>> >>>>>>> their images, but he quoted *preliminary* limits
        of between 20
        >>> and
        >>> >>>>>>> 30mK for redshifts 7.5 to 10, k~0.05 Mpc^-1 using
        155 hours of
        >>> data.
        >>> >>>>>>> Their estimate on systematics comes from Stokes
        V, which was at
        >>> >>>>>>> levels ~ 10mK, so intersecting with the
        higher-power EoR
        >>> models.
        >>> On
        >>> >>>>>>> the slide it quoted "Zaroubi et al. 2016", so I
        guess we can
        >>> expect
        >>> >>>>>>> to see something official next year.
        >>> >>>>>>>
        >>> >>>>>>> Saul
        >>> >>>>>>>
        >>> >>>>>>>> On Wed, Nov 11, 2015 at 5:06 PM, DAVID DEBOER
        >>> >>>>>>>> <[email protected]
        <mailto:[email protected]>> wrote:
        >>> >>>>>>>> To clarify a bit, I’m not sure that
        Michiel’s
        >>> statement
        >>> applies
        >>> >>>>>>>> to anything new, but rather that there was some
        possibility
        >>> that
        >>> >>>>>>>> Ger had made a presentation somewhere regarding
        a limit.
        >>> >>>>>>>>
        >>> >>>>>>>> Dave
        >>> >>>>>>
        >>> >>>>>>
        >>> >>>>>> --
        >>> >>>>>> Sent from Gmail Mobile
        >>> >>
        >>> >
        >>> >
        >>> >
        >>>
        >>>
        >>>
        >>
        >







--

National Science Foundation Fellow
Arizona State University
School of Earth and Space Exploration
Low Frequency Cosmology
Phone:           (505) 500 4521
Homepage: http://loco.lab.asu.edu/danny_jacobs/

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