tag:blogger.com,1999:blog-8883034.comments2018-10-27T20:00:31.868+02:00atdotdeRobert Hellinghttps://plus.google.com/118220336522940810893noreply@blogger.comBlogger528125tag:blogger.com,1999:blog-8883034.post-4308585528829769412018-10-27T20:00:31.868+02:002018-10-27T20:00:31.868+02:00As you pointed out, the experiment depends on /F&#...As you pointed out, the experiment depends on /F's "lab" being measured such that its two internal states are coherent and interfere as seen by /W. The idealised lab is perfectly sealed, but somehow /W can measure it from outside, rather like a Schrodinger who can check some aspect of his cat without opening his box.<br /><br />It's not just /W and W who must perform this magic. When the qubit "S" is passed from lab /L to lab L, the same thing must happen. <br /><br />This may seem monstrously difficult to achieve, but it's not impossible. We could implement the measurements by having the F agents emit single polarised photons. If the photons were generated before they made their measurements, then polarised in a way dependent on the measurements, the decoherence of the agent (and the rest of the lab contents) would not matter.<br /><br />And although we cannot create perfectly sealed "labs" to contain human beings, we have equivalent devices in quantum computers as well as many, many quantum experiments.<br /><br />My point is; one day, we may get this experiment up and running, in some form. So, can we still confidently say that /F's measurement "didn't happen", i.e. is contrafactual, when it becomes possible one day to "open her lab" and see?<br /><br /><br />David Byrdenhttp://byrden.com/quantum/consistency.htmlnoreply@blogger.comtag:blogger.com,1999:blog-8883034.post-72994040689928240642018-10-25T04:48:35.932+02:002018-10-25T04:48:35.932+02:00Music is very important in our lives. What song ar...Music is very important in our lives. What song are you listening to and using? Are you satisfied? I have a free music store for you and everyone to listen to. There are many types of music such as bollywood and hindi. I will introduce you to 5 songs that most people install:<br /><br />- <a href="https://ringtonedownload.in/mere-wala-sardar/" rel="nofollow">Mere Wala Sardar ringtone download</a><br />- <a href="https://ringtonedownload.in/majbooriyan/" rel="nofollow">Majbooriyan ringtone download</a><br />- <a href="https://ringtonedownload.in/kamariya/" rel="nofollow">Kamariya ringtone download</a><br />- <a href="https://ringtonedownload.in/dil-meri-na-sune-2/" rel="nofollow">Dil Meri Na Sune ringtone download</a><br />- <a href="https://ringtonedownload.in/jitni-dafa-dekhun-tumhe-parmanu/" rel="nofollow">Jitni Dafa Dekhun Tumhe Parmanu ringtone download</a><br /><br />In addition, you can refer to many other music genres at my homepage here: <a href="https://ringtonedownload.in/" rel="nofollow">https://ringtonedownload.in/</a><br /><br />I hope you like it. Leave a comment for my collection. Thank you!<br />Unknownhttps://www.blogger.com/profile/01903215989676134129noreply@blogger.comtag:blogger.com,1999:blog-8883034.post-24787724535680622092018-10-10T21:05:54.681+02:002018-10-10T21:05:54.681+02:00Hi. What do you think about connecting microsoft a...Hi. What do you think about connecting <a href="https://ax-dynamics.com/microsoft-dynamics-ax" rel="nofollow">microsoft ax</a>, machine learning and internet of things in one company that employes 350 people? I've heard that this solutions could make our everyday life easier :)Katarzyna Panikowskahttps://www.blogger.com/profile/15915291870354992900noreply@blogger.comtag:blogger.com,1999:blog-8883034.post-72802381772006849402018-09-25T03:39:26.195+02:002018-09-25T03:39:26.195+02:00What are your cell phone ringtones?
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Bayes. Unknownhttps://www.blogger.com/profile/07594633209626059331noreply@blogger.comtag:blogger.com,1999:blog-8883034.post-81131632917993156012017-11-10T11:42:10.483+01:002017-11-10T11:42:10.483+01:00Re knowledge of probability distribution: Of cours...Re knowledge of probability distribution: Of course there is only one earth and it has a unique history. But if at some level the continental motion could be described as "random" then I wouldn't hesitate to argue for some version of "time average is ensemble average" (including some variant of likely ergodicity).<br /><br />Re asteroid impact: That is a good point. But it would only argue for an "initial" unbalance not one that comes in cycles.Robert Hellinghttps://www.blogger.com/profile/06634377111195468947noreply@blogger.comtag:blogger.com,1999:blog-8883034.post-89778724487142887512017-11-10T08:11:10.472+01:002017-11-10T08:11:10.472+01:00As I've been careful to point out naturalness ...As I've been careful to point out naturalness arguments are fine when you have a probability distribution, which is usually the case in all situations where you can reasonably claim to have a statistical ensemble. <br /><br />I'm not much of a geologist, but I was under the impression the current theory for the formation of the moon is a major asteroid impact that tore off much of the not-yet-quite formed planet. Quite possibly that would have left a major assymetry? But really just guessing there. Sabine Hossenfelderhttps://www.blogger.com/profile/06151209308084588985noreply@blogger.comtag:blogger.com,1999:blog-8883034.post-45909937450383276212017-06-27T17:14:04.272+02:002017-06-27T17:14:04.272+02:00Re windowing: in frequency space this corresponds ...Re windowing: in frequency space this corresponds convolution with the Fourier transform of the window function. What I still don't understand how convolving a function of random phases can yield something phase aligned. Robert Hellinghttps://www.blogger.com/profile/06634377111195468947noreply@blogger.comtag:blogger.com,1999:blog-8883034.post-30428854564242764772017-06-27T16:37:56.900+02:002017-06-27T16:37:56.900+02:00About the article "On the time lags of the LI...About the article "On the time lags of the LIGO signals", I found myself quite in awe after reading how they come to the same conclusions as I did a year ago when I wrote a similar analysis, performing an statistical simulation using R language and finding out signal could be perfectly noise-induced. <br /><br />https://www.linkedin.com/pulse/ligo-gravitational-waves-real-just-noise-juan-ignacio-p%C3%A9rez-sacrist%C3%A1n<br /><br />Best regards!<br />ComputerPhysics Labhttps://www.blogger.com/profile/12781862229716895972noreply@blogger.comtag:blogger.com,1999:blog-8883034.post-15179317140664001072017-06-27T15:59:23.507+02:002017-06-27T15:59:23.507+02:00For the record, the mistake is not windowing the d...For the record, the mistake is not windowing the data before Fourier transforming it: try e.g. a Hann window.Thomas Denthttps://www.blogger.com/profile/16355010444546331416noreply@blogger.comtag:blogger.com,1999:blog-8883034.post-2892641626435577822017-06-16T08:47:31.771+02:002017-06-16T08:47:31.771+02:00Unfortunately, there is not much written informati...Unfortunately, there is not much written information from the workshop beyond the google doc already linked. But we set up a mailing list on the topic, see https://lists.muc.ccc.de/cgi-bin/mailman/listinfo/iot-haftung and in its archive you can find a number of documents on the topic that have been passed around since.Robert Hellinghttps://www.blogger.com/profile/06634377111195468947noreply@blogger.comtag:blogger.com,1999:blog-8883034.post-71796428055829961082017-06-16T08:17:21.850+02:002017-06-16T08:17:21.850+02:00Can you share with us some information from your w...Can you share with us some information from your workshop. If you already mentioned on your blog then can you please share the link. Thanks.Danis Tanovichttp://trevokandrew.blogspot.com/2017/06/the-internet-of-things-weaves-together-various-devices-to-create-comfort.htmlnoreply@blogger.comtag:blogger.com,1999:blog-8883034.post-83010164447583876062017-06-15T19:19:10.511+02:002017-06-15T19:19:10.511+02:00"Is it completely raw (except for been down-s..."Is it completely raw (except for been down-sampled to 4096 Hz)?"<br /><br />That's how I understand the LIGO open science web page. I take that data set as is.<br /><br />"You then mention that since the signal is real, Fourier transform has a phase of 0 or pi for a constant phase<br />and you find out that it is pi. I don't know what this tell us. What frequency does the region of constant phase correspond to?"<br /><br />The phase should be random (as it is outside the low frequency region: The dots come at all colors). What is the frequency? You can do the math yourself (and I am too lazy) but given that is the region of low noise I would expect it to be up to a few 100Hz.<br /><br />" Why do you consider h(t) + time-reversed h(t) (containing the signal) noise? <br />Only h(t) containing the signal+LIGO noise -best fit signal template would be noise?<br />But I don't think you are doing that. So I don't understand how an addition of the original signal+ its time-reversal is noise. Also I don't see a cancellation at other frequencies."<br /><br />The signal has orders of magnitude less power than the noise. So not taking out the signal does not really matter.<br /><br />The effect is strongest for the dataset I mentioned.<br /><br />And your time analysis friend is right: Adding to random noise the time reversal should yield noise that is sqrt(2) times stronger (except at omega=0).Robert Hellinghttps://www.blogger.com/profile/06634377111195468947noreply@blogger.comtag:blogger.com,1999:blog-8883034.post-6461691813910510912017-06-15T18:55:05.503+02:002017-06-15T18:55:05.503+02:00I asked someone who has extensively dealt with tim...I asked someone who has extensively dealt with time-series analysis about this and that person said<br /><br />"Time reversing and subtracting a noisy time series should only cancel out 1 sample (for white noise) and increase the variance (by a factor of 2) for the rest. I see from the plot that the noise is canceled over a much longer time (?) before the variance increases. Could be an effect of colored noise though… I would expect the cancellation to be over the auto-correlation timescale (which is 1 sample for white noise but longer for colored noise + lines). Shantanuhttps://www.blogger.com/profile/16322812456382858228noreply@blogger.comtag:blogger.com,1999:blog-8883034.post-39528952682534453342017-06-15T18:49:41.408+02:002017-06-15T18:49:41.408+02:00There are several things that I have not understoo...There are several things that I have not understood in what you did or why your results are surprising. Following are my questions.<br /><br />o Just to be clear.<br />when you say "raw strain data at 4096 Hz, I presume you mean h(t) timeseries containing GW signal + residual LIGO noise right?<br />Is it completely raw (except for been down-sampled to 4096 Hz)?<br /><br />o You then mention that since the signal is real, Fourier transform has a phase of 0 or pi for a constant phase<br />and you find out that it is pi. I don't know what this tell us. What frequency does the region of constant phase correspond to?<br />(Maybe you can show one plot with frequency in (Hz) on X-axis instead of frequency bin number).<br /><br />o Why do you consider h(t) + time-reversed h(t) (containing the signal) noise? <br />Only h(t) containing the signal+LIGO noise -best fit signal template would be noise?<br />But I don't think you are doing that. So I don't understand how an addition of the original signal+ its time-reversal is noise. Also I don't see a cancellation at other frequencies.<br /><br />oAlso have you repeated the same exercise for Hanford? Do you get the same results?<br />I guess at any rate the best way to resolve this through some toy numerical experiments with injecting a mock signal in mock time series containing white noise (and also doing the same with colored noise)<br />Shantanuhttps://www.blogger.com/profile/16322812456382858228noreply@blogger.comtag:blogger.com,1999:blog-8883034.post-27253106159414197872017-06-14T08:38:31.575+02:002017-06-14T08:38:31.575+02:00Thank you for this post. You have done a great job...Thank you for this post. 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See above. Robert Hellinghttps://www.blogger.com/profile/06634377111195468947noreply@blogger.comtag:blogger.com,1999:blog-8883034.post-70206314611275330972017-06-09T11:54:57.331+02:002017-06-09T11:54:57.331+02:00This whole story doesn't make sense but in gen...This whole story doesn't make sense but in general, not special, relativity. <br /><br />Another way of realizing what's going on is that, when the temperature is fixed, the energy isn't-it fluctuates. Which means that time translations are not well-defined, therefore Poincaré invariance isn't a global symmetry and it doesn't make sense to ask any question that depends on this assumption. While all these issues may have been discussed in many ways in the past, it's the intuition that's come from Unruh's work, building on Hawking's, that's relevant and clarifies the picture. Once one works within the context of non-inertial frames, there's nothing more to discuss-beyond what could happen if backreaction can't be ignored. While this is an issue for the applications that Hawking has in mind, it isn't for Unruh, where the accelerating system is a probe of the spacetime. Stam Nicolishttps://www.blogger.com/profile/06379940898372024773noreply@blogger.comtag:blogger.com,1999:blog-8883034.post-60532755256351557502017-06-09T09:19:31.709+02:002017-06-09T09:19:31.709+02:00You want to know how temperature transforms under ...You want to know how temperature transforms under Lorentz transformations?<br /><br />Let's consider an example. Take an ideal gas. In the rest-frame of the gas (i.e., the frame in which the mean velocity of the gas molecules is zero), the pressure and density are proportional to each other. And the constant of proportionality is (up to a constant factor) the temperature.<br /><br />Now, in that frame, the stress tensor T_{\mu\nu} is diagonal, T_{\mu\nu} = diag(ρ,p,p,p). 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