Spotting close-in giant planets with spectroscopy

Title: Detecting Exoplanets Closer to Stars with Moderate Spectral Resolution Integral-Field Spectroscopy

Authors: Shubh Agrawal, Jean-Baptiste Ruffio, Quinn M. Konopacky, et al.

First Author’s Institution: Department of Astronomy, California Institute of Technology, Pasadena, CA, USA

Status: Accepted to the Astronomical Journal [open access]

Thus far, the vast majority of known exoplanets have been discovered indirectly, using techniques such as the transit or radial velocity methods, which allow us to infer the presence of planets based on their effects on their host stars. However, to fully characterize exoplanets and measure things like the composition of atmospheres, we need to observe the planets directly.  As you might guess, picking out the light coming from a planet, as opposed to the star it’s orbiting, is no small feat given how bright stars are compared to planets. Astronomers have come up with lots of tricks over the years to improve imaging techniques, from using coronagraphs to block out some of the star light to designing adaptive optics that correct for atmospheric effects and employing complex signal processing algorithms. However, direct imaging is still typically restricted to observing planets that are fairly massive and bright, and live quite far from their host stars. The relative brightness and physical separation from the star make these planets much easier to see than the smaller, closer planets whose signals are overpowered by starlight. 

But today’s authors have a plan to directly observe planets orbiting closer to their host stars than ever before! Their idea hinges on using spectroscopy to better differentiate between planets and their host stars. 

The new detection method involves a technique called Integral-Field Spectroscopy (IFS), in which a field of view is split into a grid, with a spectrum taken for each cell in the grid (Figure 1). The idea behind using IFS for finding planets depends on differentiating between the spectral features of planets and stars to identify which grid cells are sampling the planet’s light. For example, the planet might have features like water or carbon monoxide, whereas the star is a more complex spectrum with many features blended together. 

Figure 1: Diagram describing integral-field spectroscopy, where an image is split into smaller cells, each with its own spectrum. Image Credit: Allington-Smith, Content & Haynes (1998)

Currently, the main constraint on how closely we can observe a planet to its host star is called speckle noise, and has to do with how the light from the host star is diffracted in the imaging process. Typically, one would try to eliminate the speckle noise while reducing the data, however today’s authors propose modeling the speckles along with the planet data. Figure 2 shows an example of a model planet spectrum (left) versus the components used to model starlight (right). By modeling all of the planet and star components together, the authors are able to avoid some of the systematic effects that typically cause speckle noise to hide planets that are too close to the host star. The authors then apply their model to all the spectra in an IFS grid to identify whether and where planets are hidden. 

Figure 2: The left panel shows a model spectrum for the planet, and the right shows a few of the many components that are used to model starlight. Image Credit: Adapted from Figure 2 from today’s paper

To test the method, the authors used the OSIRIS instrument at Hawaii’s Keck Observatory to survey 20 target stars. They chose stars in the Taurus and Ophiuchus star-forming regions, which are most likely to have young planets. This is important because the young planets will be hotter and therefore brighter than their older counterparts, making them slightly easier to see. Of the Taurus and Ophiuchus stars, the authors also selected the more massive stars, which have been found to be more likely to host gas giants. 

It’s important to note that the test-case stars were much further away than typical direct imaging targets. Ideally, we want the planet to have as much angular separation from the star as possible; the further away a system is, the smaller the angle between the planet and star becomes, and the harder it is to detect that planet. Despite the test-case stars being so far away, the authors found that the IFS technique is capable of recovering planets at least as well as typical methods! While no new planets were found for the particular stars in the test-survey, the authors did identify an M-dwarf companion at a very small angular separation from one host star (Figure 3). 

Figure 3: The resulting detection map for one of the test case stars. The star is the larger bright area in the middle, and the M-dwarf companion is the small bright area marked by the red cross. Image Credit: Figure 4 in today’s paper

Based on the success of the IFS test, the authors conclude that IFS planet detection could be a really powerful way to find closer-in planets, especially given the IFS instruments on JWST and the capabilities of future Extremely Large Telescopes. Probing these close-in planets is especially important as radial velocity surveys have indicated that there should be quite a few Jupiter-mass planets within a few AU of their host stars, but existing imaging techniques aren’t able to resolve those small separations. Finally, the authors show that their approach to modeling the planet and star light at the same time helps to retain more information about the planet’s atmosphere, and could be a really promising method for measuring compositions and studying habitability in the coming years!

Astrobite edited by: Jack Lubin

Featured Image Credit: University of Warwick/Mark Garlick, Encyclopaedia Britannica, Agrawal et al. 2023

About Isabella Trierweiler

I'm a fifth year grad student at UCLA. I'm interested in planet formation and I study the compositions of exoplanets using polluted white dwarfs. In my free time I like knitting, playing train games, and growing various fruit trees.

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