Abstract:
The most challenging limitation in the transit photometry method arises from the
noises in the photometric signal. In particular, the ground-based telescopes are
heavily affected by the noise due to the perturbation in Earth’s atmosphere. Use
of telescopes with larger apertures can improve the photometric signal-to-noise
ratio (S/N) to a great extent. However, detecting a transit signal out of a noisy
light curve of the host star and precisely estimating the transit parameters call for
various noise reduction techniques. In our first project, we have presented multi-band
transit photometric follow-up studies of five hot-Jupiters e.g., HAT-P-30 b, HATP-
54 b, WASP-43 b, TrES-3 b and XO-2 N b, using the 2m Himalayan Chandra
Telescope (HCT) at the Indian Astronomical Observatory, Hanle and the 1.3m J.
C. Bhattacharya Telescope (JCBT) at the Vainu Bappu Observatory, Kavalur. In
order to reduce the noise components present in the observational data, we have
used a critical noise treatment approach using sophisticated techniques, such as the
wavelet denoising and Gaussian process regression, which effectively reduce both
time-correlated and time-uncorrelated noise components from the transit light curves.
In addition to these techniques, use of our state-of-the-art model algorithm have
allowed us to estimate the physical properties of the target exoplanets with a better
accuracy and precision compared to the previous studies.
Unlike the ground-based telescopes, the observations from the space-based telescopes
are free from any noise component due to the interference of Earth’s atmosphere.
This is the reason why most of the sophisticated telescopes used in
exoplanetary science are space-based. However, the observations from these spacebased
telescopes still contain noise components due to various instrumental effects
and the stellar activity and pulsations. In our second project, we have presented the
critical analysis of space-based transit photometric observations from the Transiting
Exoplanet Survey Satellite (TESS). We have developed an optimized noise treatment
and modeling algorithm based on the algorithm used in our previous project, which
also implements the techniques like the wavelet denoising and Gaussian process
regression. We have demonstrated the effectiveness of our algorithm by implementing
it to the TESS transit photometric observations for four hot Jupiters: KELT-7 b,
HAT-P-14 b, WASP-29 b, WASP-95 b, and a hot Neptune: WASP-156 b. The
better quality of photometric data from TESS, combined with our state-of-the-art
noise reduction and analysis technique, has resulted into much more accurate and
precise values of the physical properties for the target exoplanets than that reported
in earlier works.
The effectiveness of the transit photometry method to detect and characterize
exoplanets has already been demonstrated by the discovery of thousands of exoplanets
using several ground-based as well as space-based survey missions. With the advent
of the upcoming next generation large telescopes, the detection of exomoons in a
few of these exoplanetary systems is very plausible. In our third project, we present
a comprehensive analytical formalism in order to model the transit light curves for
such moon hosting exoplanets. In order to achieve analytical formalism, we have
considered circular orbit of the exomoon around the host planet, which is indeed the
case for tidally locked moons. The formalism uses the radius and orbital properties
of both the host planet and its moon as model parameters. The coalignment or
non-coalignment of the orbits of the planet and the moon is parameterized using two
angular parameters and thus can be used to model all the possible orbital alignments
for a star-planet-moon system. This formalism also provides unique and direct
solutions to every possible star-planet-moon three circular body alignments. Using
the formula derived, a few representative light curves are also presented.
Rocky exomoons around the giant exoplanets in habitable zones hold special
significance as they can harbor life. Although the detection of exomoons has yet
remained elusive, mainly due to their smaller expected size, the next generation large
telescopes can provide unique opportunities for their detection and characterization.
In our fourth project, we have studied the capability of the large space based James
Webb Space Telescope (JWST) to detect the smaller sub-Earth sized exomoons in
the habitable zones of G- and K-type stars. We have consider three different sizes
of the moon, i.e. similar in size to the mars, the titan and the luna, and estimated
the minimum photometric precision required to detect them. By comparing them
to the expected obtainable photometric precision using the NIRCAM instrument of
JWST and using different near-infrared filters, we have concluded that exomoons as
small as the titan would be detectable around a G2 type star and that as small as
the luna would be detectable around a K2 type star.