@article{bainbridge_evaluating_2017,
	title = {Evaluating the {New} {Automatic} {Method} for the {Analysis} of {Absorption} {Spectra} {Using} {Synthetic} {Spectra}},
	volume = {3},
	url = {http://adsabs.harvard.edu/abs/2017Univ....3...34B},
	doi = {10.3390/universe3020034},
	abstract = {We recently presented a new "artificial intelligence" method for the 
analysis of high-resolution absorption spectra (Bainbridge and Webb,
Mon. Not. R. Astron. Soc. 2017, 468,1639-1670). This new method unifies
three established numerical methods: a genetic algorithm (GVPFIT);
non-linear least-squares optimisation with parameter constraints
(VPFIT); and Bayesian Model Averaging (BMA). In this work, we
investigate the performance of GVPFIT and BMA over a broad range of
velocity structures using synthetic spectra. We found that this new
method recovers the velocity structures of the absorption systems and
accurately estimates variation in the fine structure constant. Studies
such as this one are required to evaluate this new method before it can
be applied to the analysis of large sets of absorption spectra. This is
the first time that a sample of synthetic spectra has been utilised to
investigate the analysis of absorption spectra. Probing the variation of
nature's fundamental constants (such as the fine structure constant),
through the analysis of absorption spectra, is one of the most direct
ways of testing the universality of physical laws. This "artificial
intelligence" method provides a way to avoid the main limiting factor,
i.e., human interaction, in the analysis of absorption spectra.},
	urldate = {2017-05-11},
	journal = {Universe},
	author = {Bainbridge, Matthew and Webb, John},
	month = apr,
	year = {2017},
	pages = {34},
}

{"_id":"dxPMwHSC8A7v2z5nv","bibbaseid":"bainbridge-webb-evaluatingthenewautomaticmethodfortheanalysisofabsorptionspectrausingsyntheticspectra-2017","author_short":["Bainbridge, M.","Webb, J."],"bibdata":{"bibtype":"article","type":"article","title":"Evaluating the New Automatic Method for the Analysis of Absorption Spectra Using Synthetic Spectra","volume":"3","url":"http://adsabs.harvard.edu/abs/2017Univ....3...34B","doi":"10.3390/universe3020034","abstract":"We recently presented a new \"artificial intelligence\" method for the analysis of high-resolution absorption spectra (Bainbridge and Webb, Mon. Not. R. Astron. Soc. 2017, 468,1639-1670). This new method unifies three established numerical methods: a genetic algorithm (GVPFIT); non-linear least-squares optimisation with parameter constraints (VPFIT); and Bayesian Model Averaging (BMA). In this work, we investigate the performance of GVPFIT and BMA over a broad range of velocity structures using synthetic spectra. We found that this new method recovers the velocity structures of the absorption systems and accurately estimates variation in the fine structure constant. Studies such as this one are required to evaluate this new method before it can be applied to the analysis of large sets of absorption spectra. This is the first time that a sample of synthetic spectra has been utilised to investigate the analysis of absorption spectra. Probing the variation of nature's fundamental constants (such as the fine structure constant), through the analysis of absorption spectra, is one of the most direct ways of testing the universality of physical laws. This \"artificial intelligence\" method provides a way to avoid the main limiting factor, i.e., human interaction, in the analysis of absorption spectra.","urldate":"2017-05-11","journal":"Universe","author":[{"propositions":[],"lastnames":["Bainbridge"],"firstnames":["Matthew"],"suffixes":[]},{"propositions":[],"lastnames":["Webb"],"firstnames":["John"],"suffixes":[]}],"month":"April","year":"2017","pages":"34","bibtex":"@article{bainbridge_evaluating_2017,\n\ttitle = {Evaluating the {New} {Automatic} {Method} for the {Analysis} of {Absorption} {Spectra} {Using} {Synthetic} {Spectra}},\n\tvolume = {3},\n\turl = {http://adsabs.harvard.edu/abs/2017Univ....3...34B},\n\tdoi = {10.3390/universe3020034},\n\tabstract = {We recently presented a new \"artificial intelligence\" method for the \nanalysis of high-resolution absorption spectra (Bainbridge and Webb,\nMon. Not. R. Astron. Soc. 2017, 468,1639-1670). This new method unifies\nthree established numerical methods: a genetic algorithm (GVPFIT);\nnon-linear least-squares optimisation with parameter constraints\n(VPFIT); and Bayesian Model Averaging (BMA). In this work, we\ninvestigate the performance of GVPFIT and BMA over a broad range of\nvelocity structures using synthetic spectra. We found that this new\nmethod recovers the velocity structures of the absorption systems and\naccurately estimates variation in the fine structure constant. Studies\nsuch as this one are required to evaluate this new method before it can\nbe applied to the analysis of large sets of absorption spectra. This is\nthe first time that a sample of synthetic spectra has been utilised to\ninvestigate the analysis of absorption spectra. Probing the variation of\nnature's fundamental constants (such as the fine structure constant),\nthrough the analysis of absorption spectra, is one of the most direct\nways of testing the universality of physical laws. This \"artificial\nintelligence\" method provides a way to avoid the main limiting factor,\ni.e., human interaction, in the analysis of absorption spectra.},\n\turldate = {2017-05-11},\n\tjournal = {Universe},\n\tauthor = {Bainbridge, Matthew and Webb, John},\n\tmonth = apr,\n\tyear = {2017},\n\tpages = {34},\n}\n\n","author_short":["Bainbridge, M.","Webb, J."],"key":"bainbridge_evaluating_2017","id":"bainbridge_evaluating_2017","bibbaseid":"bainbridge-webb-evaluatingthenewautomaticmethodfortheanalysisofabsorptionspectrausingsyntheticspectra-2017","role":"author","urls":{"Paper":"http://adsabs.harvard.edu/abs/2017Univ....3...34B"},"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"https://bibbase.org/zotero/polyphant","dataSources":["7gvjSdWrEu7z5vjjj"],"keywords":[],"search_terms":["evaluating","new","automatic","method","analysis","absorption","spectra","using","synthetic","spectra","bainbridge","webb"],"title":"Evaluating the New Automatic Method for the Analysis of Absorption Spectra Using Synthetic Spectra","year":2017}