New publication from Dan Stinebring with alumnus Hengrui Zhu, and from Michael Moore with collaborators in China and Missouri

AAS and IOP publication

As found in the Web of Science:

• a recent publication from Emeritus Professor of Physics and Astronomy Dan Stinebring and May graduate Hengrui Zhu. 

Dolch, T., Daniel R. Stinebring, G. Jones, Hengrui Zhu '21, R. S. Lynch, T. Cohen, P. B. Demorest, M. T. Lam, L. Levin, M. A. McLaughlin, and N. T. Palliyaguru. 2021. Deconvolving pulsar signals with cyclic spectroscopy: a systematic evaluation. Astrophysical Journal 913:98.

From the abstract: "We show that cyclic spectroscopy is most effective for high [signal-to-noise ratio] and/or highly scattered pulsars. We conclude that cyclic spectroscopy could play an important role in scattering correction to distant populations of highly scattered pulsars not currently included in PTAs."

• and from Professor of Biology Mike Moore:

Zhang, Y., T. Deng, L. Sun, J. B. Landis, Michael J. Moore, H. Wang, Y. Wang, X. Hao, J. Chen, S. Li, M. Xu, P. Puno, P. H. Raven, and H. Sun. 2021. Phylogenetic patterns suggest frequent multiple origins of secondary metabolites across the seed-plant 'tree of life'. National Science Review 8:nwaa105.

The concluding sentence of the abstract notes that "the distribution patterns for [plant secondary metabolites] observed in this study may also be useful in the search for natural compounds for medicinal purposes."

Michael Moore and alumni Noah Last and Riva Bruenn are co-authors in Botanical Journal of the Linnean Society

This recent publication from Professor of Biology Mike Moore explores the evolution of fruiting structures in Nyctaginaceae, known as the Four-o'clock family of flowering trees, shrubs, and herbs.

Sukhorukov, A. P., M. Nilova V.,

Journal cover from Oxford Univ Press

Michael J. Moore, Riva Bruenn, Noah Last, E. F. Sandoli Rossetto, and N. A. Douglas. 2021. Anatomical diversity and evolution of the anthocarp in Nyctaginaceae. Botanical Journal of the Linnean Society 196:21-52.  Access at OhioLINK Journal Center

From the abstract: We investigate anthocarp evolution in Nyctaginaceae through extensive anatomical studies (159 species from 28 genera representing six of seven tribes) and phylogenetic character state reconstructions. We found highly diverse anthocarp anatomy across Nyctaginaceae, with most traits analysed evolving multiple times throughout the family.

More about Nyctaginaceae, from ScienceDirect.

Assistant Professor of Physics Jillian Scudder is a coauthor on two new publications

Teimoorinia, H., M. Jalilkhany, Jillian M. Scudder, J. Jensen, and S. L. Ellison. 2021. A reassessment of strong line metallicity conversions in the machine learning era. Monthly Notices of the Royal Astronomical Society 503:1082-1095. https://doi.org/10.1093/mnras/stab466

From the Abstract: 

The random forest (RF) algorithm [developed by the authors] is non-parametric and therefore more flexible than polynomial conversions, due to its ability to capture non-linear behaviour in the data. The RF method yields the same accuracy as the (updated) polynomial conversions, but has the significant advantage that a single model can be applied over a wide range of metallicities, without the need to distinguish upper and lower branches in R-23 calibrations. The trained RF is made publicly available for use in the community. Access on ArXiv (preprint version, Feb. 16, 2021)

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Also accessible on ArXiv is this publication describing a project that allows easier study of distant galaxies across wavelength.

Shirley, R., K. Duncan ...J. Scudder, et al. 2021. HELP: The Herschel Extragalactic Legacy Project. arXiv:2105.05659 [astro-ph.GA]

From the Abstract: 
With this project definition paper we provide full access to the first data release of HELP; Data Release 1 (DR1), including a monolithic map of the largest SPIRE extragalactic field at 385 deg2 and 18 million measurements of PACS and SPIRE fluxes. We also provide tools to access and analyse the full HELP database. This new data set includes far-infrared photometry, photometric redshifts, and derived physical properties estimated from modelling the spectral energy distributions.