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journal article·2014-11-01Open access

A new time-frequency method to reveal quantum dynamics of atomic hydrogen in intense laser pulses: Synchrosqueezing transform

Yae-lin Sheu, Liang-Yan Hsu, Hau-tieng Wu, Peng-Cheng Li, Shih-I Chu

AIP Advances· Volume 4· Issue 11
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Source abstract

Abstract

This study introduces a new adaptive time-frequency (TF) analysis technique, the synchrosqueezing transform (SST), to explore the dynamics of a laser-driven hydrogen atom at an ab initio level, upon which we have demonstrated its versatility as a new viable venue for further exploring quantum dynamics. For a signal composed of oscillatory components which can be characterized by instantaneous frequency, the SST enables rendering the decomposed signal based on the phase information inherited in the linear TF representation with mathematical support. Compared with the classical type of TF methods, the SST clearly depicts several intrinsic quantum dynamical processes such as selection rules, AC Stark effects, and high harmonic generation.
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Research context

OpenAlex topics: Laser-Matter Interactions and Applications · Advanced Fiber Laser Technologies · Spectroscopy and Quantum Chemical Studies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

National Taiwan University 1 Center for Quantum Science and Engineering, and Center for Advanced Study in Theoretical Sciences, Department of Physics, , Taipei 10617, Taiwan

Princeton University 2 Department of Chemistry, , Princeton, New Jersey 08544, The United States

University of Toronto 3 Department of Mathematics, , Toronto ON M5S 2E4, Canada

Northwest Normal University 4 College of Physics and Electronic Engineering, , Lanzhou 730070, China

University of Kansas 5 Department of Chemistry, , Lawrence, Kansas 66405, The United States

References (32)

Show source-provided references
1. Phys. Rep. · 2010 · 488 · 5110.1016/j.physrep.2009.12.003 ↗
2. Am. J. Physiol.: Heart Circ. Physiol. · 2010 · 299 · H1736
3. Giophysics · 1995 · 6 · 190610.1190/1.1443922 ↗
4. Nature · 2004 · 432 · 86710.1038/nature03183 ↗
5. Nat. Phys. · 2011 · 7 · 82210.1038/nphys2029 ↗
6. Nat. Photonics · 2014 · 8 · 43710.1038/nphoton.2013.362 ↗
7. Phys. Rev. Lett. · 2010 · 104 · 21360110.1103/PhysRevLett.104.213601 ↗
8. J. Chem. Phys. · 2007 · 127 · 20431410.1063/1.2806180 ↗
9. Phys. Rev. Lett. · 2006 · 97 · 05300110.1103/PhysRevLett.97.053001 ↗
10. J. Photochem. Photobiol., A · 2006 · 180 · 22610.1016/j.jphotochem.2006.03.038 ↗
11. Phys. Rev. Lett. · 2003 · 91 · 15390110.1103/PhysRevLett.91.153901 ↗
12. Phys. Rev. A · 2000 · 61 · 021802(R)10.1103/PhysRevA.61.021802 ↗
13. Rev. Mod. Phys. · 2009 · 81 · 16310.1103/RevModPhys.81.163 ↗
14. Phys. Rev. A · 1997 · 55 · 396110.1103/PhysRevA.55.3961 ↗
15. Phys. Rev. A · 2010 · 81 · 03341210.1103/PhysRevA.81.033412 ↗
16. Phys. Rev. Lett. · 2010 · 105 · 20390210.1103/PhysRevLett.105.203902 ↗
17. Phys. Rev. A · 2013 · 88 · 06341910.1103/PhysRevA.88.063419 ↗
18. J. Phys. B: At. Mol. Opt. Phys. · 2006 · 39 · 474710.1088/0953-4075/39/22/017 ↗
19. Phys. Rev. A · 2013 · 88 · 04341510.1103/PhysRevA.88.043415 ↗
20. 1999
21. 1992
22. Phys. Rev. Lett. · 2013 · 111 · 02410110.1103/PhysRevLett.111.024101 ↗
23. Appl. Comput. Harmon. Anal. · 2014 · 36 · 35410.1016/j.acha.2013.07.003 ↗
24. IEEE Trans. Biomed. Eng. · 2014 · 61 · 73610.1109/TBME.2014.2320153 ↗
25. H. T. Wu, “Adaptive analysis of complex data sets,” Doctoral dissertation (Princeton University, 2011).
26. J. Roy. Statist. Soc. Ser. B · 2014 · 76 · 3210.1111/rssb.12039 ↗
27. Chem. Phys. · 1997 · 217 · 11910.1016/S0301-0104(97)00063-3 ↗
28. 2011
29. Phys. Rep. · 2004 · 390 · 110.1016/j.physrep.2003.10.001 ↗
30. Phys. Rev. Lett. · 2012 · 109 · 18680110.1103/PhysRevLett.109.186801 ↗
31. J. Chem. Phys. · 2014 · 141 · 12470310.1063/1.4895963 ↗
32. Phys. Rev. A · 1995 · 51 · R175010.1103/PhysRevA.51.R1750 ↗