The Chariklo ring system. The dotted lines are the trajectories of the star relative to Chariklo in the plane of the sky, as observed from eight sites, the arrow indicating the direction of motion.

The Chariklo ring system. The dotted lines are the trajectories of the star relative to Chariklo in the plane of the sky, as observed from eight sites, the arrow indicating the direction of motion.

We discussed a marvelous paper in journal club on Friday — Ribas-Braga et al.’s discovery of a ring system around the Centaur Chariklo.

A small icy body in the outer reaches of our solar system, Chariklo was expected to occult a star last year as seen from the Earth. The shape and duration of this stellar dimming can give astronomers very tight constraints on the size of a body (the same basic technique is used in exoplanet astronomy to estimate planet sizes).

Instead of one very deep dimming due to Chariklo itself, the observers were surprised to find two pairs of small dips just before and after Chariklo’s dip. Follow-up observations at other sites confirmed what these initial observations suggested: Chariklo has two, thin rings! This result makes Chariklo the only body in the solar system, other than the giant planets, known to have a ring system.

A ring system around such a small body is very surprising, and it’s not at all clear how it was made — possibly tidal disruption of an even smaller icy body or collisions among small satellites; both scenarios may have contributed to Saturn’s rings.

And like Saturn’s ring system, Chariklo’s rings may have shepherding satellites, gently tugging and pushing the ring particles to keep them tightly confined around Chariklo. Otherwise, such a ring system should spread out and diffuse in only a few million years.

One of the most exciting aspects of this paper for me was the fact that the occultation observations were mostly made by small telescopes. Boise State has its own 0.4-m telescope at the Challis Observatory. And so I’m hopeful we may be able to contribute to future occultation campaigns such as this one.

 

The broad-band transmission spectral data of WASP-31 b, along with three atmospheric models. From Sing et al. (2014 -- http://arxiv.org/abs/1410.7611).

The broad-band transmission spectral data of WASP-31 b, along with three atmospheric models. From Sing et al. (2014 — http://arxiv.org/abs/1410.7611).

We discussed an impressive paper today in journal club, Sing et al.’s (2014) study of the transiting, hot Jupiter WASP-31 b.WASP-31 b weighs about half as much as Jupiter but has a radius more than 50% larger, giving it a very low density for a Jupiter-like planet.

Using the Hubble Space Telescope, Sing and colleagues observed several, spectrally-resolved transits of WASP-31 b (i.e., in several different colors), resulting in several of the black data points in the figure at left.

The colors of the planet’s transit tells us a lot about the composition and nature of WASP-31 b’s atmosphere. For example, the blue and green curves in the figure at left include spectral features from water, but the black data points don’t show the same features.

However, the data points DO show a clear detection of potassium (K) in the planet’s atmosphere (as indicated in the figure). Potassium, while interesting, is not completely unexpected in WASP-31 b’s atmosphere since it is very hot, > 1,500 K.

But the fact that only the very highest point in the potassium spectral feature is seen and not the broad wings on either side probably indicates the planet has a thick cloud deck. Since the peak of the potassium feature results from gas high in the planet’s atmosphere and the wings from lower in the atmosphere, Sing and colleagues can estimate the pressure level of the cloud deck, about 10 mbar.

For comparison, clouds on the Earth typically form at about 500 mbar. In the Earth’s atmosphere, 10 mbar is about the level where meteors burn up, so WASP-31 b’s clouds are VERY high in its atmosphere.

The full set of rings, imaged as Saturn eclipsed the Sun from the vantage of the Cassini spacecraft. Earth is visible as a "pale blue dot" at about the 4 o'clock position. From http://en.wikipedia.org/wiki/Rings_of_Saturn.

The full set of rings, imaged as Saturn eclipsed the Sun from the vantage of the Cassini spacecraft. Earth is visible as a “pale blue dot” at about the 4 o’clock position. From http://en.wikipedia.org/wiki/Rings_of_Saturn.

For our inaugural journal club at BSU physics, we discussed a very interesting paper led by Prof. Matt Hedman, now at University of Idaho Physics.

Hedman and Nicholson studied subtle density perturbations in Saturn’s ring system. If you look at images of the rings, you’ll see lots of patterns, many of which are caused by gravitational interactions with Saturn’s many satellites — the inner edge of the Cassini division, for example, is sculpted by gravitational tugs from Mimas.

However, the ring patterns studied by Hedman and Nicholson seem to result from gravitational perturbations with periods much shorter than the orbital periods of any Saturnian satellite, meaning the satellites aren’t the cause.

The periods actually correspond to those expected for oscillations within Saturn itself. Just like stars exhibit oscillations, Saturn oscillates, producing periodic variations in its gravitational field. And, as for stars, the periods of these oscillations depend on its interior. So by studying these subtle ring patterns, Hedman can tease out information about Saturn’s internal structure.

Hedman has coined the term “Kronoseismology” for this new approach to studying Saturn’s interior, analogous to “asteroseismology” for stars and “seismology” for the Earth. And just like those fields, Kronoseismology promises to lead to profound new insights about the second biggest planet in our solar system.

The density of Bose-Einstein condensates, exhibiting interference of their quantum mechanical wave functions. From https://sites.google.com/site/bigelowcatgroup/bec.

The density of Bose-Einstein condensates, exhibiting interference of their quantum mechanical wave functions. From https://sites.google.com/site/bigelowcatgroup/bec.

BSU’s Materials Science and Engineering Dept had a guest today from the University of Rochester, Prof. Nick Bigelow. Prof. Bigelow spoke this afternoon in the physics department about his experiments producing Bose-Einstein condensates in his optics lab. He did a great job of explaining their subtle physics at a level that our undergrads and even our lowly astronomers could understand.

In his lab, he uses lasers to cool small pockets of low-density rubidium gas to a Bose-Einstein condensation state and then spins up a torus of the gas with variously polarized laser beams. The quantum mechanical wave function describing the gas torus must then have an integer number of oscillations over its circumference.

By putting the spinning torus of gas into contact with other Bose-Einstein condensates with known wave functions (either spinning or not), Bigelow’s group can demonstrate the effects of interference between the quantum mechanical wave functions for the two condensates. The figure at top left shows the clouds of gas that form, exhibiting graceful density enhancements (warmer colors) that result from interference of the wavefunctions.

As lucid and compelling as Bigelow’s talk was, it highlighted again for me how strange and counter-intuitive quantum mechanical systems are. It reminded me of Richard Feynman‘s famous quote, “If you think you understand quantum mechanics, you don’t understand quantum mechanics” (which, I just learned, is not a Feynman quote at all, but a paraphrase of a Bohr quote).

I really enjoyed a talk from Dr. Josh Bandfield yesterday in the Geosciences Department about unusual geomorphological features on the surface of the Moon.

Bandfield works with the Diviner instrument onboard the Lunar Reconnaissance Orbiter. Diviner is a very sensitive camera that measures infrared radiation from the Moon’s surface over a wide range of wavelengths. Using these data, Bandfield and others can learn a surprising amount about the Moon’s surface and geological history.

Rock concentration values near Rima Bode (356.1°E, 12.9°N) superposed on a high-res LROC image. The white box denotes the area shown in the bottom image. (bottom) A portion of LROC image. Each square in the image covers a separate Diviner bin with the derived rock concentration value listed.

Rock concentration values near Rima Bode (356.1°E, 12.9°N) superposed on a high-res LROC image. The white box denotes the area shown in the bottom image. (bottom) A portion of LROC image. Each square in the image covers a separate Diviner bin with the derived rock concentration value listed.

For example, the rates at which different surface types cool once the Sun sets depend on the surfaces’ thermal conductivity. In general, lunar regolith or soil heats up and cools down much more quickly than bare rock. And so, if Diviner measures a surface’s temperature at a known time of lunar day, Bandfield can determine how rocky the surface is. The figure at left from Bandfield et al. (2011) compares the inferred rockiness of one surface to high-resolution images, which confirm the rockiness map from Diviner data.

Bandfield also discussed how rockiness maps can be used to determine the relative ages of lunar craters. Since the Moon is constantly bombarded by impactors, lunar rocks are continually broken down into finer and finer pieces, finally turning into powdery regolith. By mapping the rockiness of different craters, Bandfield and colleagues found the youngest craters are also the most rocky.

A theme that Bandfield highlighted several times: even though humans have studied the Moon for millenia, it still has fascinating things to reveal.

Comparison between raw K2 and corrected photometry. Figure 5 for Vanderburg & Johnson (2014).

Comparison between raw K2 and corrected photometry. Figure 5 for Vanderburg & Johnson (2014).

Read a neat paper from Andrew Vanderburg of John Johnson’s Exoplanets group at Harvard about working with data from the upcoming K2 mission.

Having suffered failures of two of its reaction wheels, required to accurately point the telescope, the Kepler mission has ended its nominal science investigation. However, clever engineering will allow the spacecraft to keep operating and doing exciting astronomy as the K2 mission.

Among other goals, the K2 mission will continue to look for transiting exoplanets, which involves looking for the shadows of planets as the occult their host stars. However, small attitude tweaks needed to keep the K2 spacecraft accurately pointed result in fairly large artificial variations in the measured brightnesses of target stars. Removing the effects of these tweaks from K2’s data can be quite challenging, but Vanderburg & Johnson’s recent paper describes one technique for doing that.

By carefully tracking the centers of target stars as they drift across the K2 CCD camera, their technique allows them to remove quite large and complex artificial variability and to recover the actual brightness variations of target stars.

From the paper, the figure at left shows how well they do: the blue dots at the top show the raw measurements, with the artificial variations from attitude tweaks apparent as discontinuous jumps. By carefully modeling the exact position of the target star and removing the effects of its motion across the CCD, the technique produces a much more accurate measurement of the actual brightness variations of the target star, orange dots at bottom.

Applying these techniques to many target stars monitored during one of the K2 engineering tests, Vanderburg & Johnson showed they can produce data nearly as precise as the original Kepler mission — almost as good as sending an astronaut repair team to fix the Kepler spacecraft, but all it took was some sophisticated numerical modeling and a laptop.

A field of pitted cones in Utopia Planitia on Mars, as observed by the HiRISE instrument onboard the Mars Reconnaissance Orbiter. Taken from http://beautifulmars.tumblr.com/post/82817530060/field-of-cones-in-utopia-planitia.

A field of pitted cones in Utopia Planitia on Mars, as observed by the HiRISE instrument onboard the Mars Reconnaissance Orbiter. Taken from http://beautifulmars.tumblr.com/post/82817530060/field-of-cones-in-utopia-planitia.

A visit from a planetary sciences colleague this weekend got me excited again about automated feature identification for remote-sensing imagery. This colleague and I talked about her work on Martian pitted cones (examples shown at left). These small hills form when a basalt flow passes over volatile (i.e., water) deposit, heating it and producing a steam explosion that uplifts the flow into a cone shape with a crater at the apex.

As for the vast majority of geomorphological studies, pitted cones on Mars are identified by groups of dedicated researchers, sifting by hand through hundreds or thousands of high-resolution images. If, instead, identification could be automated, it would help realize dramatic savings in person-hours and probably significantly increase the number of known features. It could also mitigate potential observational biases introduced by human image processing.

As an experiment, I applied algorithms from the scikit-image python package to find pitted cones in the example image shown at left. Fortunately, the documentation already provides a good example of circular feature detection.

So modifying the example code, I applied it to a small portion of the example image, and the figure below shows the results. Here I’m just showing the top ten most strongly detected circular features.

Unfortunately, the algorithm is not perfect — some of the obvious cones were not picked out, and others were highlighted more than once. But overall, not terrible, considering it took me about an hour and a half to implement (which included upgrading to Python 3 via the Anaconda package because scikit-image wouldn’t work with the Enthought Python version 2.7 — this upgrade will probably adversely affect my ability to use astroml, by the way).

Possible ways to improve things:

  1. The example code only returns the top two most strongly detected features for each circle radius it tries; this restriction would be simple to remove.
  2. The fact that the pitted cones are cone-shaped means you could require that any putative crater be framed by an appropriately shaped shadow. Regardless of the cone’s actual height (probably unknown anyway), the shadow on the cone should darken as the solar incident angle approaches 180 degrees, modulo any nearby morphological features (as evident in the figure below).
My attempt to automatically identify pitted cones using scikit-image.

My attempt to automatically identify pitted cones using scikit-image.

Artist's conception of tidal disruption of a gas giant planet.

Artist’s conception of tidal disruption of a gas giant planet.

Neat paper today from Francesca Valsecchi and colleagues at Northwestern University’s Center for Interdisciplinary Exploration and Research in Astrophysics. They looked at the final fates of gas giant planets that wander too close to their host stars, sometime called “hot Jupiters”.

This unexpected but apparently fairly common class of planet consists of massive planets made mostly of hydrogen and helium, like Jupiter, but, unlike Jupiter, these planets orbit tens or even hundreds of times closer to their host stars than the Earth orbits the Sun. Consequently, many of these hot Jupiters are fated to spiral closer and closer to their stars, eventually getting so close that their host stars’ gravity rips them apart, drawing their atmospheres into thin accretion disk around the star. This process is called “Roche lobe overflow” (RLO).

Once the progenitor hot Jupiter has lost its atmosphere, what’s left behind is probably the rocky/icy core at its center, and following up studies by other groups, Valsecchi and colleagues point out that RLO of hot Jupiters may help explain the puzzling presence of small rocky planets also found orbiting very close to their host stars. These little bodies may indeed be the skeletal remnants of unspeakable astrophysical violence.

A false-color, infrared map of Titan’s north pole. The black arrow points to an evaporite deposit along the shore of Ligeia Mare.

A false-color, infrared map of Titan’s north pole. The black arrow points to an evaporite deposit along the shore of Ligeia Mare.

I read a recent paper by MacKenzie et al. (2014) about evaporite deposits along the rims of lakes on Saturn’s moon Titan.

The more we learn about Saturn’s enigmatic moon Titan, the more it resembles the Earth: Titan has a thick atmosphere made mostly of nitrogen and a complex “hydrologic” cycle involving big storms, river beds, and even lakes and seas. But, because Titan’s surface temperatures are nearly -300 degrees F, unlike on Earth, the liquids involved in the cycle are methane and ethane.

And recently, observations from the Cassini spacecraft in orbit around Saturn have found evidence for what may be evaporite deposits along the rims of many of Titan’s seas and lakes. Evaporite deposits typically form on Earth when water collects in isolated basins and slowly evaporates away, leaving behind the minerals dissolved in the water. They are common throughout the Southwest in the US.

In this recent paper, MacKenzie and colleagues conducted a thorough mapping of the putative evaporite deposits on Titan to understand their extent and possible connections to climate. The study presents lots of interesting results: in particular, they find evaporites occur at a variety of latitudes, including in places that look a lot like dry lake beds. This result corroborates the suggestion that these places were indeed filled with liquid in the past but climatic changes have since dried them out.

Surprisingly, even though there are many apparent dry lake beds near the south pole on Titan, MacKenzie and colleagues find no evidence for evaporites there. They speculate either the deposits were laid down long ago (> 50,000 years ago) and have since been buried OR conditions were never suitable for evaporite formation, even when the south polar lake beds were filled. Either result could be telling us something very interesting about evolution of Titan’s climate.

The K2 mission will observe sequential ecliptic campaigns with a duration of ∼83 days, where 75 days are dedicated to science.

The K2 mission will observe sequential ecliptic campaigns with a duration of ∼83 days, where 75 days are dedicated to science.

I’m a bit late to the game on this one, but I wanted to read Howell et al.’s (2014) paper describing the planned K2 mission, what is essentially the reincarnation of the Kepler mission.

Launched in 2009, the Kepler spacecraft was happily staring at about 150,000 target stars over about 4 years, looking for the shadows of planets as they passed between the Earth and their host star (called planetary transits). Groups using Kepler data have found thousands of planets outside our solar system, revolutionizing exoplanet studies. Unfortunately, two of the reaction wheels used to keep the spacecraft pointing stably at its target field failed by May 2013, ending the nominal science mission.

However, by carefully angling the telescope (see figure at left) and keeping it pointed along its orbital plane, NASA engineers realized they could use the photon pressure from Sun as a sort of third reaction wheel, allowing the astronomical revolution to continue — thus was born the K2 mission, which NASA selected for funding May this year.

The paper from Howell et al. (2014) describes the scientific and engineering capabilities of the K2 mission, which closely match those of the Kepler mission. So a lot of what Kepler could do, K2 can, too. In fact, since mission engineers have to turn the spacecraft every 80 days to satisfy the pointing requirements, K2 will look at lots of different fields on the sky, in contrast to Kepler, which only stared at the same field.

This variable pointing will enable a wider variety of scientific investigations, as discussed by Howell et al., including looking for more transiting planets, but also studies of other galaxies, supernovae, stellar clusters, and more. In fact, the astronomical community submitted more than 100 different ideas of things to do with K2. So the scientists and engineers at NASA have really done a spectacular job salvaging what otherwise would have been a disappointing loss.