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Optimal control of rotational motions in dissipative media
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View: Figures


Image of FIG. 1.
FIG. 1.

Alignment over a pre-specified time interval. Averaged alignment, , for different values of the Gaussian width parameter that determines the required duration of the alignment: (a) (solid curve); (dashed curve); (b) (solid curve); (dashed curve). (c) -state populations for (solid curve), (dashed curve), and (dotted curve), showing the nearly complete transfer of the population to the state. In all cases, the pressure and the temperature are 0 and , as indicated by the vertical dashed line. We use reduced time units, , where is the rotational constant.

Image of FIG. 2.
FIG. 2.

Short-time Fourier transform of optimal fields at 0 pressure and with (a) a delta function window, (b) , and (c) . The arrow indicates the target time at which the algorithm seeks to maximize the alignment, , and the color bar provides the intensity in relative units. Time is given, as in Fig. 1, in units of , energy is given in units of , and , where is the Boltzmann constant and the temperature. Note that the generalized boundary condition allows the field to extend past .

Image of FIG. 3.
FIG. 3.

(a) The expectation value of at , for (⋯); (---); (solid curve). (b) The population measure [Eq. (12)] for the parameters of panel (a). (c) The corresponding coherence measure . Here as indicated by the vertical dashed line.

Image of FIG. 4.
FIG. 4.

Average alignment maximized at (vertical dashed line) for (⋯), (---); (solid curve). The pressure increases from left to right as 0 [panels (a), (d), and (g)]; , [panels (b), (e), and (h)]; (panels c, f, i). The temperature increases from top to bottom as [(a)–(c)]; [(d)–(f)]; [(g)–(i)]. For CO in Ar, this corresponds to 10, 20, and , respectively.

Image of FIG. 5.
FIG. 5.

Population of a two-level superposition (here , ) with a predetermined composition at and . [(a)–(c)] , [(d)–(f)] . [(a) and (d)] Time evolution of the population in rotational levels : (diamonds), (++++), (solid curve), (–⋅–⋅), and (---). [(b) and (e)] The optimal fields for the transitions in panels (a) and (d), respectively. The major subpulse features of the field are approximately separated by , the natural timescale of the system. [(c)and (f)] The Fourier transform of the fields in panels (b) and (e), respectively. The dashed lines indicate the energies of transition from state to state in the model system (CO in Ar). The optimal pulse for the case is essentially the pulse for the study, shifted to cover the last portion of the pulse, leaving the initial near zero. Correspondingly, the frequency spectrum of the pulse is identical to that of the pulse.

Image of FIG. 6.
FIG. 6.

Evolution of rotational populations for generically constructed optimal superpositions [panels (a), (d), and (h)] and corresponding superpositions created by the optimal control algorithm [panels (b), (e), and (i)] at , and . The optimal fields corresponding to panels (b), (e), and (i) are shown in panels (c), (f), and (j), respectively. is denoted by a solid curve, by (⋯), by (––⋅––⋅), by (- - -), by (–⋅–⋅), by (–⋅⋅–), by large (–⋅–⋅), and by small (---). For clarity, only states relevant to the studied dynamics are shown. Panels (a)–(c) consider a target superposition of the and with 60% of the population in the former and 40% in the latter. (The closest kinematically allowed populations, see Ref. 56, are and .) In this case the superposition lifetime is about . Panels (d)–(f) consider a target superposition of the and , with which the superposition lifetime is . Panels (h)–(j) seek to produce a , superposition with a lifetime of . For low energy superposition, the effective pulse is of duration of the relaxation time and acts just before . As , increase, multiple subpulses of increasingly high frequency develop and earlier portions of the pulse are utilized.


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752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Optimal control of rotational motions in dissipative media