Three New Publications at the Open Journal of Astrophysics
Not unexpectedly because of holidays, August has been rather a quiet month at the Open Journal of Astrophysics, but with people returning to work this week business has picked up again and it’s time to announce the last batch (all published this week).
In fact, this week we have published three papers, which I now present to you here. These take the count in Volume 6 (2023) up to 34 and the total published by OJAp up to 99. Who will be the author(s) of the 100th? We will just have to wait and see! I’ll do a special post for whichever paper wins that honour.
In chronological order, the three papers published this week, with their overlays, are as follows. You can click on the images of the overlays to make them larger should you wish to do so.
First one up is “Bright common envelope evolution requires jets” by Noam Soker of Technion, Haifa in Israel. This is a discussion of the role of jets that a main sequence secondary star launches as it enters a common envelope evolution (CEE) with a primary giant star. The paper was published on 28th August, is just the fifth item in the folder marked Solar and Stellar Astrophysics and can be found here.
Here is a screen grab of the overlay, which includes the abstract:
You can find the officially accepted version of the paper on the arXiv here.
The second paper to announce is “Almanac: MCMC-based signal extraction of power spectra and maps on the sphere” by Elena Sellentin (Leiden), Arthur Loureiro (Stockholm); Lorne Whiteway (UCL); Javier Lafaurie (Leiden); Sreekumar Balan (UCL); Malak Olamaie (York); and Andrew Jaffe & Alan Heavens (Imperial). This presents a new software tool called Almanac , which uses Hamiltonian Monte Carlo sampling to infer the underlying all-sky noiseless maps of cosmic structures, together with their auto- and cross-power spectra.
This one is in the folder marked Cosmology and Nongalactic Astrophysics. The paper was also published on 28th August 2023 and you can see the overlay here:
The accepted version of this paper can be found on the arXiv here.
The last paper of this batch paper is in the Instrumentation and Methods for Astrophysics folder. It is entitled “Neural Network Based Point Spread Function Deconvolution For Astronomical Applications” and the authors are: Hong Wang, Sreevarsha Sreejith, Yuewin, Nesar Ramachandra*, Anze Slosar & Shinjae Yoo, all of the Brookhaven National Laboratory (NY) except * who is at the Argonne National Laboratory (IL), all based in the USA. This paper discusses a neural-network based deconvolution algorithm based on Deep Wiener Deconvolution Network (DWDN) and its performance in an astronomical context.
Here is the overlay:
You can find the full text for this one on the arXiv here.
In the Dark 
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