Observatories like the Herschel Space Observatory, the SOFIA observatory, and the Atacama Large Millimeter/submillimeter Array (ALMA), have dramatically increased the bandwidth and data rate for far-IR observations.  With this new generation of observational facilities, the spectral line survey is becoming a default part of nearly every spectral observation.  The challenge now becomes how to most efficiently analyze these datasets so that the physical and chemical information can be extracted on a timescale that is comparable to observing proposal cycles.  Existing approaches take considerable amounts of time and user input, and have shortcomings in terms of dealing with blended lines and multiple physical components.  To address this challenge, we have developed the Global Optimization and Broadband Analysis Software for Interstellar Chemistry (GOBASIC) program using the MATLAB scientific computing environment.  We designed GOBASIC to be a simple and uniform data analysis platform that offers a significant enhancement over previous astrochemical analysis approaches.  GOBASIC offers automated, broadband, multi-molecule, multi-component spectral fitting using the assumption of local thermodynamic equilibrium.  A parallel computing mode has also recently been developed to further enhance the speed of spectral analysis.  We will present the results of initial benchmarking tests, as well as preliminary results from analysis of a set of spectral line surveys of star-forming regions conducted with the Caltech Submillimeter Observatory.<br/><br/>

Global optimization and broadband analysis software for interstellar chemistry

249th National Meeting (2015)

The official archive and repository for all ACS Meetings & Expositions abstracts and select posters or presentations.