2017
DOI: 10.1021/acs.jctc.7b00533
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VMS-ROT: A New Module of the Virtual Multifrequency Spectrometer for Simulation, Interpretation, and Fitting of Rotational Spectra

Abstract: The Virtual Multifrequency Spectrometer (VMS) is a tool that aims at integrating a wide range of computational and experimental spectroscopic techniques with the final goal of disclosing the static and dynamic physical–chemical properties “hidden” in molecular spectra. VMS is composed of two parts, namely, VMS-Comp, which provides access to the latest developments in the field of computational spectroscopy, and VMS-Draw, which provides a powerful graphical user interface (GUI) for an intuitive interpretation o… Show more

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Cited by 37 publications
(23 citation statements)
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“…The list of spectroscopic parameters, computed as explained above and -in more details-in the Appendix, is reported in Table 4, with the principal inertia axes being displayed in Figure 5. The spectroscopic properties of Table 4 have been employed to simulate the rotational spectra at T = 100 K using the VMS-ROT software (Licari et al 2017): the predicted rotational spectra in the 0-1000 GHz frequency range are depicted in Figure 6. According to the literature on this topic (see, e.g., Puzzarini et al (2008 (2018)), the rotational constants are expected to have an accuracy, in relative terms, of about 0.1%, while the uncertainties affecting centrifugal-distortion constants and hyperfine parameters should not exceed 1-2%.…”
Section: Spectroscopic Characterization Of the Ch 2 Nh 2 And Ch 3 Nh mentioning
confidence: 99%
“…The list of spectroscopic parameters, computed as explained above and -in more details-in the Appendix, is reported in Table 4, with the principal inertia axes being displayed in Figure 5. The spectroscopic properties of Table 4 have been employed to simulate the rotational spectra at T = 100 K using the VMS-ROT software (Licari et al 2017): the predicted rotational spectra in the 0-1000 GHz frequency range are depicted in Figure 6. According to the literature on this topic (see, e.g., Puzzarini et al (2008 (2018)), the rotational constants are expected to have an accuracy, in relative terms, of about 0.1%, while the uncertainties affecting centrifugal-distortion constants and hyperfine parameters should not exceed 1-2%.…”
Section: Spectroscopic Characterization Of the Ch 2 Nh 2 And Ch 3 Nh mentioning
confidence: 99%
“…VMS features two interconnected tools: VMS-Draw (Licari et al, 2015) and VMS-Comp (Barone et al, 2012), the former providing a user-friendly, graphical user interface to pilot the latter, which is in charge of computationally intensive tasks. VMS-Comp includes a wide set of algorithms and calculation options and it allows the user to predict with remarkable accuracy many types of spectroscopic data for a vast range of molecular systems and environments (Zerbetto et al, 2013;Licari et al, 2017;Presti et al, 2017). Further developments are, however, needed to deal with new and more sophisticated experimental techniques (Quack and Merkt, 2011;Lane, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…The integrated experiment-theory approach employed in our laboratory is illustrated in Figure 1: state-of-the-art quantum-chemical calculations are performed in order to obtain accurate predictions of the rotational spectroscopy parameters that are subsequently used to plan the experimental measurements, to support the spectral assignment, and -if the case-to complement experiment with missing information. To exploit this interplay of experiment and theory, we rely on the VMS-ROT software (Licari et al 2017), developed in the framework of the Virtual Multi-frequency Spectrometer project (see Barone 2016). VMS-ROT is composed of four independent modules: (1) the computational one which is in charge of the quantum-chemical calculations of the spectroscopic parameters, (2) the prediction-fitting module, which makes use of Pickett SPFIT/SPCAT program (Pickett 1991) for predicting the rotational spectrum and, once the experimental spectrum is available, for assigning the recorded transitions and thus refine the starting computed constants, (3) the graphical user interface (GUI) module that offers a powerful set of tools for a vis-á-vis comparison of experimental and simulated spectra, and (4) the assignment tool for assigning the experimental transitions in terms of quantum numbers upon comparison with the predicted ones.…”
Section: Methodsmentioning
confidence: 99%