Time distribution of stimulated transition probabilities
Journal of Optics (United Kingdom), ISSN: 2040-8986, Vol: 26, Issue: 7
2024
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Article Description
In recent years, an increasing number of experimental results have been published for a wide variety of systems in which high-precision, ultra-fast, and ultra-short laser pulses techniques have been used to study time-resolved dynamical processes. In the absence of a theoretical prediction of the time distribution of the transition probabilities, the lifetimes τ are generally extracted by fitting the decay time with an exponential, bi-exponential or three-exponential function. In fitting the data, the short-time behavior is generally neglected. The purpose of this study is to show that an explicit formula for the time distribution of the transition probability can be determined rigorously using time-dependent perturbation theory. A formula that perfectly fits an important subset of the experimental results from t = 0 to t = ∞ . We show that by following a route different from the usual procedure for deriving transition amplitudes and Einstein coefficients in time-dependent perturbation theory, one ends up with a time-dependent factor, that is, a temporal distribution function of the transition probabilities, and for the Einstein coefficients. The time distribution reported here looks in the time domain similar to the Planck distribution in the frequency domain. In fact, the behavior of the time distribution, with a maximum at 2 τ ln 2 , and with τ playing the role of temperature, resembles the behavior of the Planck frequency distribution. We present several examples to demonstrate that the theoretical formula allows for easier fitting of the experimental results reported in the literature. We also show that the time distribution explains the difference in resonance heights between the experimental and theoretical blue laser spectra.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85193911568&origin=inward; http://dx.doi.org/10.1088/2040-8986/ad49b3; https://iopscience.iop.org/article/10.1088/2040-8986/ad49b3; https://dx.doi.org/10.1088/2040-8986/ad49b3; https://validate.perfdrive.com/fb803c746e9148689b3984a31fccd902/?ssa=baf87bca-9073-4ecd-ab95-58865a1fc0a5&ssb=12705232039&ssc=https%3A%2F%2Fiopscience.iop.org%2Farticle%2F10.1088%2F2040-8986%2Fad49b3&ssi=e7d90686-8427-4677-b6a2-3c4014c0fb4e&ssk=support@shieldsquare.com&ssm=69151050192344710348794254857572999&ssn=062fe851169d6c172dac76b73936a0ee885dfd3411ea-b241-4a9e-aff02f&sso=1b947c58-cab8b6d05de28ac4e7079a58b7652ee9c2425458e6eb23ca&ssp=59349219941716493809171689360197008&ssq=47949449337957274839800488338875586228731&ssr=NTIuMy4yMTcuMjU0&sst=com.plumanalytics&ssu=&ssv=&ssw=&ssx=eyJfX3V6bWYiOiI3ZjYwMDBjZGFmYTA2NC1lZDRlLTRiMjUtOTBjZC0yOTRiYjhjNWY5ZjIxNzE2NDAwNDg4Nzk2NDkyODkwNTk2LWM0MDU4NDYwYWYxMWU1NTQzNDg3OSIsInJkIjoiaW9wLm9yZyIsInV6bXgiOiI3ZjkwMDBiYWVhY2MxNS03NDkxLTRhNjgtYTcxZi0wMDI2OTkxOTEyOGY3LTE3MTY0MDA0ODg3OTY0OTI4OTA1OTYtYmY1MmU3N2IyZjFlNTI5ODM0ODc5In0=
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