Vintage Lab Pictures

I was decreasing the local entropy in a small part of my abode and found a shoebox full of photos which happened to contain a few shots of my grad school lab, in all its glory. We were building an interferometer which would use cold atoms, which means relatively large deBroglie wavelengths and a correspondingly small system. But one has to trap the atoms and cool them down first, and then generate the cold beam of atoms to feed into the diffraction gratings that comprise the interferometer, so the system is still quite complex. Since I was the first PhD candidate in the group, it meant I was involved in the construction of most of the components of the lab apparatus pictured here. It also meant a lot of fumbling in the dark, both figuratively and literally, since the only one with any experience with doing this kind of work was the PI, who had other duties (like teaching, writing grant proposals, etc.) It was a big day when the group finally reached the point where we didn’t want him playing with the experiment, because we knew more about the details than he did. That took a couple of years.

Here’s the vacuum system.

osu-vacuum-system

At the bottom of the picture is the oven, which was basically a pipe bomb with a hole in it (under vacuum, of course), and when heated sufficiently, would spray Rubidium atoms out. These were collimated with a second hole a few cm away (the extra Rb was collected on some cold metal and sent back into the oven during a refill cycle we ran each night after running the oven). Underneath is a turbo pump and a roughing pump; the small green hose was for adding dry nitrogen if we needed to open the system up. The nitrogen was supposed to keep the Rb from reacting with water in the air. It never worked.

The long pipe leads down to the next part of the vacuum system, and it has a “wobble stick” that blocks the atomic beam, if desired, and a valve to isolate the two parts of the system. You can also see an ion gauge on the left which was normally off so the light from the filament wouldn’t register on any photodiodes or the photomultiplier tube.

The tube is about a meter or so long, and needed to be so we could slow the atoms down. A laser was sent down the tube from the other end, and “chirped” in frequency to account for the changing Doppler shift — you wanted the laser to track the resonance of the atoms as they slowed down, so they would keep scattering photons. Once the atoms were slow enough, the laser turned off, and the atoms drifted into the bigger chamber, where they were trapped in a two-dimensional trap called an “atomic funnel.” They were able to move along the axis of the funnel, and were forced out to the left into the region where the interferometer would be. I made the gratings for the interferometer, but never got to the point where the apparatus was finished.

Here is an early version of the funnel:

old-hairpin

It’s a “hairpin” made of copper tubing so we could water-cool it while sending several amps through it, and it creates a quadrupole field in two dimensions, so that atoms would be trapped into a pencil shape along the central axis, left-to-right. It’s supported from below by two insulated standoffs — you can see the ceramic, i.e. insulating, part — to keep it straight. The dark hole straight through it is the tube leading to the oven and the lighter window on the left would be where one of the six trapping lasers would come in. Up top there is a tube with some lenses in it for imaging the trap, and on the right is a target for aligning the lasers. The target is on a linear feedthrough, and the target could be inserted into the center and all of the lasers sent through it to make sure they all overlapped where they should.

The funnel tubes were originally soldered together. What you see here is version 2, because at one point we lost cooling water while the system was energized, and the solder melted. Which meant that lots of water was introduced to the system and it became a giant fish tank, sans fish. Fortunately, we had interlocks in the system so that if the pressure rose too high the pneumatic valves would shut (that’s what the rest of the green tubing is for in the first picture), and the damage was limited. The white blobs at the ends of the little elbows are torr-seal, which we used to repair the trap. This eventually failed, too, and we replaced it with a much better trap fashioned from a single piece of copper tubing.

new-hairpin

I graduated after having built much of this and characterizing the atomic beam. We were able to extract atoms going up to 10 m/s — this was adjustable, depending on the laser frequencies of the different beams, but atoms going too slow would miss the interferometer because of gravity, so we didn’t bother trying to generate a beam going below a couple of m/s. The atoms were also somewhat cold — less than a milliKelvin — so that the beam didn’t spread out too much. At the time, one other funnel had been built, but it had on of its lasers along the axis of the funnel, which precluded putting any sort of target there. This was novel enough for a publication (T. B. Swanson, N. J. Silva, S. K. Mayer, J. J. Maki, and D. H. McIntyre, “Rubidium atomic funnel,” J. Opt. Soc. Am. B 13, 1833-1836 (1996)) and more importantly, a degree.

Color My World

Cool illusion. Bad Astronomy: The blue and the green

This is why I tell people over and over again: you cannot trust what you see even with your own eyes. Your eyes are not cameras faithfully taking pictures of absolute truth of all that surrounds you. They have filters, and your brain has to interpret the jangled mess it gets fed. Colors are not what they appear, shapes are not what they appear (that zoomed image above is square, believe it or not), objects are not what they appear.

Yeah. Ditto

Billy Mays Wants You to Know

A Higgs Boson without the Mess

Sounds like a late-nite ad. It’s Higgsy Clean!

A proton is always surrounded by a swarm of ghostly virtual photons and gluons associated with the fields of the electromagnetic and strong nuclear forces. Researchers have predicted that when two protons (or a proton and an antiproton) fly past one another at close range, within about a proton’s diameter, these virtual particle clouds may occasionally interact to create new, real (not virtual) particles. The original protons would merely lose some momentum and separate from the beam. Such an “exclusive” reaction–where the original particles don’t break apart–gives unusually clean data because there are so few particles to detect.

Cuuuut!

“Filming in the lab” is the recent theme at PhD comics, and this one grabs the essence. (Or you can start at the beginning, if you’re one of the type that needs to do that.)

I’ve been filmed in the lab and interviewed on TV once, and I’ve observed my colleagues being filmed and interviewed. There’s a pattern to it. They sit you down in front of one of your impressive-looking pieces of lab apparatus and ask questions for a while. For every 15 minutes of interview, approximately 5 seconds will make it to air time in the final story (my data point, at least). Next, they will want some “action” shots of you, which for an atomic physics/optics lab usually means adjusting some mirrors or twiddling a knob on a piece of electronics and looking at an oscilloscope with a serious expression on your face. If there are two of you in the shot, one of you will need to be pointing at the oscilloscope, as if to say, “Here is where the WOW signal would be, if we had a signal. But we don’t, because we can’t run our experiment with these floodlights on.” Obviously “action shot” here does not the mean same thing as in an episode of some detective series — this is no Magnum, Principle Investigator. A third component that is sometimes used is of one of the interviewee walking down a corridor or sidewalk, so that the reporter can do a voice-over. Alternately they will just get shots of the equipment, especially if it whirs and moves about, for that segment.

Then they mash it all together and if you’re lucky they won’t have gotten the science horribly wrong.

Giving the Devil His Due

I read The Devil Is in the Digits, an analysis of the Iranian voting results, and something doesn’t feel quite right about it. (And it’s not that these two political science student authors are being touted as mathematicians in some of the blogs linking to the story) Disclaimer: there seem to be lots of reasons to question the vote. I’m not addressing anything but the rigor of this analysis.

Now, I could be wrong about this, because anything past basic probability gives me trouble — I’m not particularly skilled (my lowest math grades were on probability exams. What are the odds of that?), and those feeble skills have atrophied for most anything beyond simple dice-rolling and poker calculations.

But I do recall that when you multiply probabilities together, it needs to be for independent events. And I question what’s going on here.

We find too many 7s and not enough 5s in the last digit. We expect each digit (0, 1, 2, and so on) to appear at the end of 10 percent of the vote counts. But in Iran’s provincial results, the digit 7 appears 17 percent of the time, and only 4 percent of the results end in the number 5. Two such departures from the average — a spike of 17 percent or more in one digit and a drop to 4 percent or less in another — are extremely unlikely. Fewer than four in a hundred non-fraudulent elections would produce such numbers.

OK, the premise seems fine. You expect each digit to show up 10% of the time, but you can deviate from that and still have a random distribution. But the relationship between the digits is not random — if you have too many 7s, you must have fewer of other numbers! So what I want to know is how they arrived at the four percent result.

Let me illustrate with an example that’s easier to see, and one I can work through: coin tosses. If you toss a coin twice, there are three outcomes: Two heads (25% of the time) a head and a tail (50%) and two tails (25% of the time). So while the expected, average result is one head, it only happens half the time — a result of either two heads or two tails isn’t evidence of anything fishy; we don’t have enough trials. But here’s the biggie: what is the probability of getting two heads, and no tails? It’s still 25%, because (heads) and (not tails) are not independent results. They have the maximum amount of correlation you can get, and since they aren’t independent results, you wouldn’t multiply the probabilities together to find the answer.

I found an analysis someone did using random numbers, and their model simulation gives the odds of a number appearing 5 or fewer times as about 20%, and appearing more than 20 time as 11%. But the odds of both shouldn’t simply be the product of the two, because the results would be correlated in some fashion that’s more involved than the coin-tossing.

So I wonder how they arrived at 4%. It’s not at all clear.

The second part of their analysis is of the last two digits, and whether they are adjacent (or identical) numbers or not, e.g. 54 (adjacent) vs 59 (not).

To check for deviations of this type, we examined the pairs of last and second-to-last digits in Iran’s vote counts. On average, if the results had not been manipulated, 70 percent of these pairs should consist of distinct, non-adjacent digits.

Not so in the data from Iran: Only 62 percent of the pairs contain non-adjacent digits.

Aha! They assume that the numbers are perfectly distributed, and we know the last digits are not; I didn’t see any mention of the second-to-last digit. So one has to wonder whether this analysis holds. I can certainly think of some examples where it fails: the second-to-last digits are all 5, and the last digits are all 4, 5 or 6. In that unlikely result, there would be zero pairs that were non-adjacent, rather than 70%. So I have to wonder how far the assumption holds and how badly it fails. And if these odds depend on the distribution, the digits and the pairings are not independent of each other, so multiplying the probabilities won’t give the right answer.

That’s what my gut and some basic probability math, dredged up from the recesses of my brain tell me. Perhaps someone who does math for a living can confirm that I’m right or tell me that I’m wrong and should stick to my day job. (or that I’m right and I should still stick to my day job)

Which One's Pink?

Color and Reality. Another take on color vs. the brain’s interpretation of color, discussed (OK, linked to) previously in Color on the Brain

We were all taught about Sir Isaac Newton who discovered that a glass prism can split white light apart into its constituent colors.

While we consider this rather trivial today, at the time you’d be laughed out of the room if you suggested this somehow illustrated a fundamental property of light and color. The popular theory of the day was that color was a mixture of light and dark, and that prisms simply colored light. Color went from bright red (white light with the smallest amount of “dark” added) to dark blue (white light with the most amount of “dark” added before it turned black).

Candygram

Great white sharks hunt just like Hannibal Lecter

Great white sharks have some things in common with human serial killers, a new study says: They don’t attack at random, but stalk specific victims, lurking out of sight.

The sharks hang back and observe from a not-too-close, not-too-far base, hunt strategically, and learn from previous attempts, according to a study being published online Monday in the Journal of Zoology. Researchers used a serial killer profiling method to figure out just how the fearsome ocean predator hunts, something that’s been hard to observe beneath the surface.

Just like the landshark