Learning from learning algorithms: application to attosecond dynamics of high-harmonic generation
dc.contributor.author | Rabitz, Herschel, author | |
dc.contributor.author | Christov, Ivan, author | |
dc.contributor.author | Kapteyn, Henry C., author | |
dc.contributor.author | Murnane, Margaret M., author | |
dc.contributor.author | Bartels, Randy A., author | |
dc.contributor.author | American Physical Society, publisher | |
dc.date.accessioned | 2007-01-03T08:11:15Z | |
dc.date.available | 2007-01-03T08:11:15Z | |
dc.date.issued | 2004 | |
dc.description.abstract | Using experiment and modeling, we show that the data set generated when a learning algorithm is used to optimize a quantum system can help to uncover the physics behind the process being optimized. In particular, by optimizing the process of high-harmonic generation using shaped light pulses, we generate a large data set and analyze its statistical behavior. This behavior is then compared with theoretical predictions, verifying our understanding of the attosecond dynamics of high-harmonic generation and uncovering an anomalous region of parameter space. | |
dc.format.medium | born digital | |
dc.format.medium | articles | |
dc.identifier.bibliographicCitation | Bartels, Randy A., et al., Learning from Learning Algorithms: Application to Attosecond Dynamics of High-Harmonic Generation, Physical Review. A 70, no. 4 (October 2004): 043404-1-043404-5. | |
dc.identifier.uri | http://hdl.handle.net/10217/68109 | |
dc.language | English | |
dc.language.iso | eng | |
dc.publisher | Colorado State University. Libraries | |
dc.relation.ispartof | Faculty Publications | |
dc.rights | ©2004 American Physical Society. | |
dc.rights | Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright. | |
dc.title | Learning from learning algorithms: application to attosecond dynamics of high-harmonic generation | |
dc.type | Text |
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