Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.771708
Title: Efficient production of hot molecular line lists
Author: Al-Refaie, A. F.
ISNI:       0000 0004 7659 4933
Awarding Body: UCL (University College London)
Current Institution: University College London (University of London)
Date of Award: 2016
Availability of Full Text:
Access from EThOS:
Full text unavailable from EThOS. Please try the link below.
Access from Institution:
Abstract:
Molecular line lists are of utmost importance in understanding and characterising the molecular composition of atmospheres from their spectra. Cool stars and exoplanets such as Hot Jupiters have temperature ranges that allow for a significant composition of molecules in their atmospheres with extremely complex and rich spectral structures. Building a comprehensive line-list to model such phenomena is a non-trivial task. Therefore efficient production is a necessity. This thesis presents three molecular line lists produced using the theoretical methodologies of the TROVE program suite. GPU Accelerated Intensities (GAIN) is a new addition to TROVE and allows for the rapid calculation of billions of transitions by exploiting graphics processing units (GPUs) to speed up the evaluation of the line strength by almost 1000x compared to previous codes. The program's extensive usage in computing the 17 billion transitions for the hot phosphine line list SAlTY is briefly discussed. A hot H2CO line-list applicable to 1500 K is computed using TROVE and GAIN from a refined potential energy surface (PES) and ab initio dipole moment surface (DMS). Results are compared to experimental data and problems encountered from the PES refinement are discussed. A preliminary room temperature line list for H2O2 is produced from a purely ab initio PES and DMS and compared to experimental result. The ab initio PES is then refined to spectroscopic accuracy and a final hot line list is produced applicable up to 1250 K.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.771708  DOI: Not available
Share: