Astronomers have found a new way of predicting the rate at which a molecular cloud—a stellar nursery—will form new stars. Using a novel technique to reconstruct a cloud’s 3-D structure, astronomers can estimate how many new stars it is likely to form. The newfound “recipe” allows for direct tests of current theories of star formation. It will also enable telescopes such as the Atacama Large Millimeter/submillimeter Array (ALMA) to estimate the star formation activity in more distant molecular clouds, and thus create a map of star births within our home galaxy.
Star formation is one of the fundamental processes in the universe—how stars form, and under what conditions, shapes the structure of entire galaxies. Stars form within giant clouds of interstellar gas and dust. As a sufficiently dense region within such a molecular cloud collapses under its own gravity, it contracts until the pressure and the temperature inside are high enough for nuclear fusion to set in, signaling the birth of a star.
Measuring star formation rates is extremely challenging, even throughout our home galaxy, the Milky Way. Only for nearby clouds, up to distances of about 1,500 light-years, are such measurements fairly straightforward—you simply count the young stars within that cloud. For more distant clouds, where it is impossible to discern individual stars, this technique fails, and star formation rates have remained uncertain.
Now three astronomers, Jouni Kainulainen and Thomas Henning from the Max Planck Institute for Astronomy in Germany and Christoph Federrath from Monash University in Australia, have found an alternative way of determining star formation rates—a “recipe for star formation”—that links direct astronomical observations of the structure of a giant gas cloud to its star formation activity.
The astronomers arrived at their result by modeling the 3-D structure of individual clouds in a simplified way. The data they use comes from an astronomical version of a medical X-raying procedure—as the light of distant stars shines through a cloud, it is dimmed by the cloud’s dust. The dimming of tens of thousands of different stars forms the basis of the 3-D reconstruction, which in turn shows the matter density for various regions within the cloud.
For nearby clouds, Kainulainen and his colleagues compared their reconstruction and direct observations of how many new stars had recently formed in these clouds. In this way, they were able to identify a “critical density” of 5,000 hydrogen molecules per cubic centimeter and showed that only regions exceeding this critical density can collapse to form stars.
“This is the first time anyone has determined a critical density for forming stars from observations of cloud structure,” said Kainulainen. “Theories of star formation have long predicted the importance of such a critical density. But our reconstruction technique is the first to allow astronomers to deduce the density structure of these clouds and to confront star formation theories with observational data.”
“With these results and the tools we developed to test theories of star formation, we can even hope to tackle one of the greatest unanswered questions of astrophysics: If stars form within a cloud of a given mass, how many stars with what kind of mass can you expect?” asked Federrath.
“There are many observations of molecular clouds, and with the advent of ALMA, much more precise data for more distant clouds will become available,” said Henning. “With our technique, we’re able to say: Show us your data, and we will tell you how many stars your cloud is forming right now.”
ALMA is an array of 66 high-precision microwave antennas spread over distances of up to 10 miles (16 kilometers) in the Chilean desert and able to act as a single high-resolution telescope. ALMA has just commenced operations and can detect clouds of gas and dust with unprecedented sensitivity and in more detail than ever before.
“We’ve handed astronomers a potent new tool. Star formation is one of the most fundamental processes in astronomy, and our results allow astronomers to determine star formation rates for moreclouds than ever before, both within our own galaxy and in distant other galaxies,” said Kainulainen.