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Get the Basics Right: Jacobian Conversion of Wavelength and Energy Scales for Quantitative Analysis of Emission Spectra
Open accessAbstract
E ffective representation of data plays a vital role in scientific communication.Moreover, a different representation of the same raw data may facilitate better quantitative analysis.Often, signal data are recorded and presented as a function of the electromagnetic spectrum.Commonly, spectra are recorded in wavelength units, but presentation of data as a function of energy provides better physical insight.The inverse relationship between the two quantities presents some challenges and has sometimes led to incorrect conclusions, such as the assertion that the spectral response of the human eye is optimized to match the solar spectrum.Clearly, proper presentation of spectral data is critical for enlightening scientific investigation.
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Research works printed but not linked: 7
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Cited by
Weidman, M. C., Seitz, M., Stranks, S. D., & Tisdale, W. A. (2016) · ACS Nano · doi:10.1021/acsnano.6b03496 · Cited by 629
Disentangling Light- and Temperature-Induced Thermal Effects in Colloidal Au Nanoparticles
Wang, L., Zare, D., Chow, T. H., Wang, J., Magnozzi, M., & Chergui, M. (2022) · The Journal of Physical Chemistry C · doi:10.1021/acs.jpcc.1c10747 · Cited by 14
Metadata
- Authors
- Mooney, J., & Kambhampati, P.
- Venue
- The Journal of Physical Chemistry Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2013-10-03
- Volume
- 4
- Issue
- 19
- Pages
- 3316-3318
- ISSN
- 1948-7185 (ISSN-L)
- OpenAlex
- W2326494589
- Cited by
- 440
- References
- 0
- FWCI
- 6.91
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Mooney, J., & Kambhampati, P. (2013). Get the Basics Right: Jacobian Conversion of Wavelength and Energy Scales for Quantitative Analysis of Emission Spectra. The Journal of Physical Chemistry Letters. https://doi.org/10.1021/jz401508t
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
