prikaz prve stranice dokumenta Noise model of the cryogenic nuclear magnetic resonance spectroscopy system's receiving chain
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Scientific paper - Original scientific paper
Noise model of the cryogenic nuclear magnetic resonance spectroscopy system's receiving chain
Automatika, 63 (2022), 3; 474-481. https://doi.org/10.1080/00051144.2022.2052649
Kolar, Petar; Blažok, Lovro; Bojanjac, Dario

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Kolar, P., Blažok, L. & Bojanjac, D. (2022). Noise model of the cryogenic nuclear magnetic resonance spectroscopy system's receiving chain. Automatika, 63. (3), 474-481. doi: 10.1080/00051144.2022.2052649

Kolar, Petar, et al. "Noise model of the cryogenic nuclear magnetic resonance spectroscopy system's receiving chain." Automatika, vol. 63, no. 3, 2022, pp. 474-481. https://doi.org/10.1080/00051144.2022.2052649

Kolar, Petar, Lovro Blažok and Dario Bojanjac. "Noise model of the cryogenic nuclear magnetic resonance spectroscopy system's receiving chain." Automatika 63, no. 3 (2022): 474-481. https://doi.org/10.1080/00051144.2022.2052649

Kolar, P., Blažok, L. and Bojanjac, D. (2022) 'Noise model of the cryogenic nuclear magnetic resonance spectroscopy system's receiving chain', Automatika, 63(3), pp. 474-481. doi: 10.1080/00051144.2022.2052649

Kolar P, Blažok L, Bojanjac D. Noise model of the cryogenic nuclear magnetic resonance spectroscopy system's receiving chain. Automatika [Internet]. 2022 March 18 [cited 2024 September 28];63(3):474-481. doi: 10.1080/00051144.2022.2052649

P. Kolar, L. Blažok and D. Bojanjac, "Noise model of the cryogenic nuclear magnetic resonance spectroscopy system's receiving chain", Automatika, vol. 63, no. 3, pp. 474-481, March 2022. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:217:835277. [Accessed: 28 September 2024]

Metadata
Title (english)Noise model of the cryogenic nuclear magnetic resonance spectroscopy system's receiving chain
AuthorPetar Kolar
AuthorLovro Blažok
AuthorDario Bojanjac
Author's institutionUniversity of Zagreb
Faculty of Science
(Department of Physics)
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Physics
Abstract (english)
One of the challenges in modern nuclear magnetic resonance (NMR) is achieving its highest possible measuring sensitivity. This is because modern NMR samples' response signals decrease, so background noise of the used NMR spectroscopy system causes bigger problems. As a solution, both software and hardware interventions were applied. However, these improvements were obtained experimentally, so the reason for their proper operation and upper limit is usually unknown. Recently, a noise model of the NMR spectroscopy system, which shows both the reason for proper operation and the upper limit of the applied improvements, was introduced. A Javascript-based calculator, based on the introduced model, has been developed and made available online as a user-friendly website that can be run on the most commonly used Internet browsers. To the authors' knowledge, this calculator is the first of its kind that analyses noise properties in NMR. Using it, one can a priori make both sensitivity prediction of practical NMR systems in physics and material science and quantitative analysis of its noise properties. Consequently, overall measurement duration can be shortened down to one half of the current duration. This is an immense improvement, as some modern NMR measurements consume more than ten hours per measurement.
Keywords (english)
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review - international
Publication versionPublished version
Journal titleAutomatika
Numberingvol. 63, no. 3, pp. 474-481
p-ISSN0005-1144
e-ISSN1848-3380
DOIhttps://doi.org/10.1080/00051144.2022.2052649
URN:NBNurn:nbn:hr:217:835277
Publication2022-03-18
Document URLhttps://www.tandfonline.com/doi/full/10.1080/00051144.2022.2052649
Type of resourceText
Access conditionsOpen access
Terms of useLicence Attribution 4.0 International (CC BY 4.0) icon
Public note© 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Received 23 June 2020; Accepted 7 March 2022; Published online: 18 Mar 2022.
Created on2024-08-09 19:18:53