My own laptop is still with the menders but I’ve managed to borrow one until I get it back so I don’t get too far behind. Anyway, it’s Saturday morning, and once again time to post another update relating to the  Open Journal of Astrophysics.  Since the last update we have published two more papers, taking  the count in Volume 7 (2024) up to 54 and the total published by OJAp up to 169.  There was one less arXiv update than usual last week, owing to the holiday on July 4th, so a couple of papers have been delayed.

The first paper of the most recent pair, published on July 3rd 2024,  is “Recovering 21cm Monopole Signals Without Smoothness” by Rugved Pund & Anže Slosar (Stony Brook, NY, USA) and Aaron Parsons (Berkeley, CA, USA) . This paper presents a new method for identifying the ‘Dark Ages’ trough contribution to the monopole of the 21cm radiation background that does not rely on the assumption that the spectrum is smooth. The paper is in the folder marked Cosmology and NonGalactic Astrophysics.

Here is a screen grab of the overlay which includes the abstract:

You can click on the image of the overlay to make it larger should you wish to do so. You can find the officially accepted version of the paper on the arXiv here.

The second paper, also published on 3rd July, has the title “LtU-ILI: An All-in-One Framework for Implicit Inference in Astrophysics and Cosmology”. There are fifteen authors with primary affiliations as follows: Matthew Ho (IAP, Paris, France), Deaglan J. Bartlett (IAP, Paris, France), Nicolas Chartier (Seoul National University, Korea),  Carolina Cuesta-Lazaro (Cfa, Harvard, USA),  Simon Ding (IAP, Paris, France), Axel Lapel (IAP, Paris, France), Pablo Lemos (Université de Montréal, Canada), Christopher C. Lovell (University of Portsmouth, UK),  T. Lucas Makinen (Imperial College, London, UK), Chirag Modi (Flatiron Institute, NY, USA), Viraj Pandya (Columbia University, NY, USA), Shivam Pandey (Columbia University, NY, USA), Lucia A. Perez (Flatiron Institute, NY, USA), Benjamin Wandelt (IAP, Paris, France),  and Greg L. Bryan (Sorbonne Université, Paris, France).

This paper, which is in the folder marked Instrumentation and Methods for Astrophysics, presents a suite of software for rapid, user-friendly, and cutting-edge inference using machine learning in astrophysics and cosmology. The software can be found on Github here.

Here is a screen grab of the overlay which includes the abstract:

You can click on the image of the overlay to make it larger should you wish to do so. You can find the officially accepted version of the paper on the arXiv here.

That concludes this week’s update. No doubt I’ll have more for you next week!

https://telescoper.blog/2024/07/06/two-new-publications-at-the-open-journal-of-astrophysics-12/

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