2016
DOI: 10.1088/1367-2630/18/7/073009
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Volkov transform generalized projection algorithm for attosecond pulse characterization

Abstract: An algorithm for characterizing attosecond extreme ultraviolet pulses that is not bandwidth-limited, requires no interpolation of the experimental data, and makes no approximations beyond the strongfield approximation is introduced. This approach fully incorporates the dipole transition matrix element into the retrieval process. Unlike attosecond retrieval methods such as phase retrieval by omega oscillation filtering (PROOF), or improved PROOF, it simultaneously retrieves both the attosecond and infrared (IR)… Show more

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Cited by 67 publications
(48 citation statements)
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References 24 publications
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“…In fact, the chirp modifies the spectrogram features in such a way that the FROG-CRAB algorithms based on the central momentum approximation (CMA) cannot correctly retrieve the spectral phase. Most recently, Keathley et al 7 published an algorithm, which does not rely on the CMA and could therefore overcome this limitation.…”
mentioning
confidence: 99%
“…In fact, the chirp modifies the spectrogram features in such a way that the FROG-CRAB algorithms based on the central momentum approximation (CMA) cannot correctly retrieve the spectral phase. Most recently, Keathley et al 7 published an algorithm, which does not rely on the CMA and could therefore overcome this limitation.…”
mentioning
confidence: 99%
“…In their work, they were unable to overcome these limitations to fully recover the phase of the photoelectron wavepacket. While others have shown the ability to circumvent the central-momentum approximation [23], to our knowledge the wavepacket approximation remains the limiting factor in accurate photoelectron retrieval. In the following sections, we define the wavepacket approximation and demonstrate why it is so problematic.…”
Section: Xuv Phase Retrieval Techniques For Photoelectron Wavepacket mentioning
confidence: 99%
“…Nowadays, the tool box for the characterization of asec pulses is quite rich. To our knowledge, it contains approaches like 2-IVAC [45,47,159], XUV-IR cross-correlation named RABBITT (applicable for asec pulse trains) [146], Streaking (applicable for isolated asec pulses) [160], FROG-CRAB (applicable for arbitrary asec fields) [161], PROOF (applicable for asec pulses with bandwidth >70 eV) [162,163], Terahertz streaking (applicable for FEL sources) [164], XUV-SPIDER [165,166], and in-situ cross-correlation [167].…”
Section: Characterization Of Xuv Sourcesmentioning
confidence: 99%