A machine-learning approach to exoplanet spectroscopy : high-precision data analysis of spectrophometric observations of exoplanetary transits and eclipses
The characterization of exoplanetary atmospheres is the new frontier in the field of exoplanets. Transit and eclipse spectroscopy are invaluable sources of information, as they may reveal the chemical composition, the presence of clouds, and the temperature and pressure profiles of the atmospheres o...
Main Author: | Morello, Giuseppe |
---|---|
Other Authors: | Howarth, I. D. ; Tinetti, G. |
Published: |
University College London (University of London)
2016
|
Online Access: | https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.746344 |
Similar Items
-
Of 'cocktail parties' and exoplanets : data analysis in exoplanetary spectroscopy
by: Waldmann, I. P.
Published: (2012) -
Spectrophometric Determination of Nelfinavir Mesylate
by: K. Vanitha Prakash, et al.
Published: (2006-01-01) -
A search for transiting exoplanets in eclipsing binary stars
by: Childers, Joseph M.
Published: (2011) -
Doppler tomographic observations of exoplanetary transits
by: Johnson, Marshall Caleb
Published: (2013) -
OBSERVING EXOPLANET TRANSITS WITH THE CITIZEN CONTINENTAL-AMERICA TELESCOPIC ECLIPSE (CATE) EXPERIMENT TELESCOPE NETWORK
by: Baer, Robert A.
Published: (2019)