Am 28.02.2013 um 00:33 schrieb MARK BAKER <[email protected]>: > > yes your right Dimensional analysis.. > > if they have it covered why are they still debating whether there is 80% of > dark matter in the universe ???
Mark, after finding the World Formular - how will you verify it? > > -Mark > > From: Joel Berger <[email protected]> > To: MARK BAKER <[email protected]> > Cc: [email protected] > Sent: Wednesday, February 27, 2013 2:47 PM > Subject: Re: [Perldl] radial power spectrum > > Mark, I think you are just talking about unit transform, or dimensional > analysis? Am I correct? If this is the case, I think the astrophysicist have > that one covered :-) > > Though of course I could be misunderstanding you. > > Joel > > On Wed, Feb 27, 2013 at 4:25 PM, MARK BAKER <[email protected]> wrote: > > > That is really Fascinating, may be there might be a underlying representation > of > this tho not ordered (I think that is what you meant by Theoretical models) > > I will do some googling to see if I can perhaps find some commonly used > units in astronomy, as well I will do some book search, It seems like > something like this, should be beneficial for both astronomy and molecular > physics, I will see if I can find a list of units to work with... > > maybe this can help to find the dimension of Dark Matter... > my guess is it would be a dimension integrated of [mass]^-6 .. [mass]^-11 > > Cheers > -Mark > > From: Jarle Brinchmann <[email protected]> > To: Craig DeForest <[email protected]> > Cc: MARK BAKER <[email protected]>; """[email protected]""" > <[email protected]> > Sent: Wednesday, February 27, 2013 1:47 PM > > Subject: Re: [Perldl] radial power spectrum > > To follow up on what Craig says, what you are describing, Mark, is indeed > something we do regularly in extra-galactic astronomy but the transformation > of image values has to go through a mapping which is ultimately based on > theoretical models. > > Thus if you have flux with an effective wavelength of l1 and l2, say, there > are functions that you can apply that can map > > G[ f(l1), f(l2)] -> Mass of stars > > for instance. There are a number of technical problems with this, however, > not least that the function is often multi-valued - for a given x, y there > are a number of possible G(x, y). These problems are usually even more > serious when you consider other possible physical quantities you might want > to extract from the images such as mean ages or metal content. However it is > a major area of research in astronomy and is indeed very valuable - if you > want an overview you can do worse than consult the very recent review article > on the subject: http://esoads.eso.org/abs/2013arXiv1301.7095C. > > Other wavelengths than the optical provide other information but the general > idea is much the same although there are quantities that are more reliably > estimated from the data. And expanding the spectral dimension so that you do > not have several colours, but rather have a spectrum in each spatial pixel > provides even more of an improvement and optimally exploiting this dimension > is still work in progress I would say, at least for distant galaxies. > > Cheers, > Jarle. > > > > On 27 Feb 2013, at 22:34, Craig DeForest wrote: > > > Well, there are a lot of things different people have gotten from images - > > but, fundamentally, all that astronomers get from images is brightness > > versus arrival angle and wavelength. Spectral power density, in the context > > of an image, is a map of how much brightness exists at different spatial > > scales in the image -- i.e. if there are a lot of big, diffuse things, > > there will be a lot of spectral power at low spatial frequencies (big > > spatial scales), and not much at high spatial frequencies (small spatial > > scales). > > > > You see astronomers talking about mass of this and mass of that, but those > > masses are inferred using methods that are far more sophisticated and > > specialized than PDL::Transform can accomplish. > > > > > > > > On Feb 27, 2013, at 2:26 PM, MARK BAKER <[email protected]> wrote: > > > >> Hey Craig, > >> > >> [I'm not sure what you mean by, for example, "now we make a transformation > >> for Mass to any power".] > >> > >> so based on the position of each individual pixel and it's color compared > >> to other pixels and there color... > >> we should be able to map transformations of different Dimensions , yet to > >> do this simply we have to have > >> known mapping transformations of known Dimensions, then we should be able > >> to derive > >> mapping transformations of any dimension. > >> > >> This Idea would change the pixel colors and pixel position to highlight > >> different dimensional values. > >> > >> if you can send me a list of commonly used Astronomical dimensions that > >> have been measured accurately > >> from a image , I should be able to show you a better explanation > >> Mathematically > >> > >> just send me a list of units like the "Spectral Power Density" used in > >> Astronomical transformations > >> > >> > >> Cheers > >> > >> -Mark > >> > >> > >> From: Craig DeForest <[email protected]> > >> To: MARK BAKER <[email protected]> > >> Cc: Craig DeForest <[email protected]>; John Lapeyre > >> <[email protected]>; ""[email protected]"" > >> <[email protected]> > >> Sent: Wednesday, February 27, 2013 1:04 PM > >> Subject: Re: [Perldl] radial power spectrum > >> > >> Mark, I'm not sure what you're getting at here. The Transform module only > >> does coordinate transformations on data sets. It modifies vectors or > >> images so that the components of the vector, or pixel indices of the > >> image, have a different geometry than they originally did. > >> > >> An image, for example, is a collection of values taken at a regular grid > >> of positions (X,Y): one pixel index is proportional to X position in the > >> image, and the other pixel index is proportional to Y position in the > >> image. With Transform::map, you can resample the image so that the pixel > >> indices are proportional to some other parameter (like distance from a > >> particular point, or angle *around* that point). > >> > >> I'm not sure what you mean by, for example, "now we make a transformation > >> for Mass to any power". > >> > >> Cheers, > >> Craig > >> > >> > >> On Feb 27, 2013, at 1:44 PM, MARK BAKER <[email protected]> wrote: > >> > >>> > >>> you Might have hinted on to something very big here ... > >>> I thought about this for a while , and here is what I have > >>> if you have a know dimension that can be found threw image processing > >>> say ([mass][length]^3[time]^-4[current]^-2) and if you can find some > >>> other dimensions > >>> then you might be able to derive a image transform for each dimension > >>> > >>> as a example voltage/resistance = current so now you have the I > >>> (current) dimension > >>> resistance * capacitance = time so now we have our T (time) dimension > >>> speed of light / frequency = wave length so now we have our L (length)) > >>> dimension (1/time = frequency) > >>> and now voltage * L^-2*T^3*I^1 = M so now we have our Mass dimension > >>> > >>> now we make a transformation for Mass to any power > >>> now we make a transformation for Length to any power > >>> now we make a transformation for Time to any power > >>> now we make a transformation for current to any power > >>> > >>> by mixing those dimensions now now we can process a value for any > >>> unit Dimension like the Power spectral density = [Mass]*[Length]^2 * > >>> [Time]-2 > >>> > >>> with this Idea you can calculate all 194481 value in string theory of the > >>> image ... > >>> > >>> if you can find a few different transformations and can send them to me > >>> I would be happy to try to help build a multi-dimensional imaging engine > >>> ... > >>> > >>> Perfect Blessing's > >>> -Mark > >>> > >>> "sometimes I think perl is alive". > >>> > >>> > >>> From: John Lapeyre <[email protected]> > >>> To: Craig DeForest <[email protected]>; "[email protected]" > >>> <[email protected]> > >>> Sent: Saturday, February 23, 2013 1:26 PM > >>> Subject: Re: [Perldl] radial power spectrum > >>> > >>> > >>> Awesome. Thanks. Have fun! > >>> > >>> On 02/23/2013 09:52 PM, Craig DeForest wrote: > >>> > I fft rhem use PDL::Transform > >>> for the radial part. Periodic boundaries are your friend. Sorry > >>> for brief - on ski lift. > >>> > >>> > >>> > > >>> > >>> > >>> > (Mobile) > >>> > >>> > >>> > > >>> > >>> > >>> > > >>> > >>> > >>> > On Feb 23, 2013, at 11:40 AM, John Lapeyre > >>> > >>> <[email protected]> wrote: > >>> > >>> > > >>> > >>> > >>> >> Greetings, > >>> > >>> > >>> >> > >>> > >>> > >>> >> I want to compute the power spectral density of an image, > >>> and then > >>> > >>> > >>> >> integrate over the azimuth to get a radial (in wavelengh) > >>> spectral > >>> > >>> > >>> >> density. I wonder if anyone has code to do this ? I am > >>> trying to cook > >>> > >>> > >>> >> up something with rvals, and whichND, but I don't want to > >>> waste time > >>> > >>> > >>> >> if it is already coded. > >>> > >>> > >>> >> > >>> > >>> > >>> >> Thanks, > >>> > >>> > >>> >> John > >>> > >>> > >>> >> > >>> > >>> > >>> >> > >>> > >>> > >>> >> _______________________________________________ > >>> > >>> > >>> >> Perldl mailing list > >>> > >>> > >>> >> > >>> [email protected] > >>> > >>> >> > >>> http://mailman.jach.hawaii.edu/mailman/listinfo/perldl > >>> > >>> >> > >>> > >>> > >>> > >>> > >>> _______________________________________________ > >>> Perldl mailing list > >>> [email protected] > >>> http://mailman.jach.hawaii.edu/mailman/listinfo/perldl > >>> > >>> > >>> _______________________________________________ > >>> Perldl mailing list > >>> [email protected] > >>> http://mailman.jach.hawaii.edu/mailman/listinfo/perldl > >> > >> > >> > > > > _______________________________________________ > > Perldl mailing list > > [email protected] > > http://mailman.jach.hawaii.edu/mailman/listinfo/perldl > > > > > _______________________________________________ > Perldl mailing list > [email protected] > http://mailman.jach.hawaii.edu/mailman/listinfo/perldl > > > > > _______________________________________________ > Perldl mailing list > [email protected] > http://mailman.jach.hawaii.edu/mailman/listinfo/perldl
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