by Elizabeth Howell for Astrobiology Magazine
Moffett Field CA (SPX) Aug 19, 2016
Our solar system began as a cloud of gas and dust. Over time, gravity slowly pulled these bits together into the Sun and planets we recognize today. While not every system is friendly to life, astronomers want to piece together how these systems are formed.
A challenge to this research is the opacity of dust clouds to optical wavelengths (the ones that humans can see). So, astronomers are experimenting with different wavelengths, such as infrared light, to better see the center of dense dust clouds, where young stars typically form.
Recently, astronomers used data from NASA's Spitzer Space Telescope - a powerful space observatory launched in 2003 that observes the Universe in infrared light - to look at a molecular cloud called L183, which is about 360 light-years away in the constellation Serpens Cauda (the serpent). Their goal was to see how light scattering affects the view of the cloud at the mid-infrared wavelength of 8 microns (um). Ultimately, the astronomers hope to use this data to get a better look inside the clouds.
"One thing we have to do is evaluate the mass that is sitting in the center of the cloud, which is ready to collapse to make a star," said co-author Laurent Pagani, a researcher at the National Center for Scientific Research (CNRS) in Paris, France.
His former doctoral student, Charlene Lefevre, led the research. Their work was recently published in the journal Astronomy and Astrophysics under the title, "On the importance of scattering at 8?um: Brighter than you think." Funding for the research came from CNRS and the French government.
Penetrating the dust
To get around this measurement problem, astronomers use proxies such as dust. Dust is roughly 1 percent of the cloud's mass, but it is best measured at the edges of the cloud. Dust abundance can be inferred through the extinction of starlight. Since we can also measure the quantity of molecular hydrogen via ultraviolet absorption at the edge of the clouds, the dust abundance is derived with respect to molecular hydrogen. Once "calibrated," the dust mass is measured throughout the cloud, providing the molecular hydrogen gas and the cloud mass.
For this project, Pagani and his team attempted to measure the amount of dust absorption at 8 microns for the cloud L183. It's common to find light at this wavelength throughout the galaxy, making it a potential measuring tool for different clouds. By measuring the absorption, scientists can estimate how much light is coming from the front of the cloud to the back of the cloud; in other words, by how much the light from the background is diminished.
In so doing, astronomers hope to gain a better understanding about how young stars form. Other, unrelated studies of dust clouds are also looking at where elements - including those grouped in molecules associated with life, such as water - are situated in young solar systems.
"There is not only absorption, but also scattering [in L183], and this scattering diminishes the contrast," Pagani said. "You have the light that is absorbed by the dust, but the dust is also emitting or scattering light towards the observer. It looks less deep than it actually is, if you don't take into account the scattering."
Lefevre was able to use the 8-micron scattering model correctly to fit other observations of the cloud. However, if she tried to observe using other wavelengths - such as 100 microns or 200 microns - she saw a very different picture concerning dust absorption. It's possible that some of the measurements were affected by ice on the dust, which was not accounted for by her radiative transfer model, Pagani said.
More work will be required. The two researchers (Lefevre is now a post-doctoral researcher at IRAM, the international Institute for Millimeter Radio-Astronomy but still working with Pagani) are using more grain types to try different methods to measure clouds at various wavelengths. "If this works, we know what kind of grains work in the clouds," Pagani said. "If it doesn't work, we have to talk to the theoreticians to modify [the models] to fit the observations."
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