The Low Tech Library consists of books about the necessary skills for getting by if the extremely complex - and potentially fragile - global high-tech economy comes temporarily (or permanently) unraveled.
J. Bernal, and E. Kovetz. (2022)cite arxiv:2206.15377Comment: 9 figures, 40 pages + references; invited by The Astronomy and Astrophysics Review. Comments are welcome. Accompanied by an update of the lim package at https://github.com/jl-bernal/lim.
T. Collaboration, A. Price-Whelan, P. Lim, N. Earl, N. Starkman, L. Bradley, D. Shupe, A. Patil, L. Corrales, C. Brasseur and 126 other author(s). (2022)cite arxiv:2206.14220Comment: 43 pages, 5 figures. To appear in ApJ. The author list has two parts: the authors that made significant contributions to the writing and/or coordination of the paper, followed by maintainers of and contributors to the Astropy Project. The position in the author list does not correspond to contributions to the Astropy Project as a whole.
J. Newman, and D. Gruen. (2022)cite arxiv:2206.13633Comment: Posted with permission from the Annual Review of Astronomy and Astrophysics, Volume 60, copyright 2022 Annual Reviews, http://www.annualreviews.org/.
D. Muñoz, N. Stone, C. Petrovich, and F. Rasio. (2022)cite arxiv:2204.06002Comment: 15 pages (before references and appendices), 11 figures, comments welcome.
J. Lewis, P. Ocvirk, Y. Dubois, D. Aubert, J. Chardin, N. Gillet, and É. Thélie. (2022)cite arxiv:2204.03949Comment: submitted to MNRAS, 1st report received: under revision Have partially addressed referee's concerns, namely that the model predicts high dust masses and redder bright galaxies than expected, by discussing this aspect around the relevant results. Work is being carried out to present a clearer parameter exploration of the dust model.
U. Schmitt, B. Moser, C. Lorenz, and A. Refregier. (2022)cite arxiv:2203.11945Comment: 28 pages, 5 figures, 5 tables, Link to package: https://cosmology.ethz.ch/research/software-lab/sympy2c.html, the described packaged sympy2c is used within arXiv:2112.08395.
M. Xiang, and H. Rix. (2022)cite arxiv:2203.12110Comment: 20 pages, 9 figures. Published in Nature in the issue of March 24, 2022. url: https://www.nature.com/articles/s41586-022-04496-5. This is the authors' version before final edits.
S. Menon, C. Federrath, M. Krumholz, R. Kuiper, B. Wibking, and M. Jung. (2022)cite arxiv:2203.12177Comment: 7 pages, 2 figures, to appear in the proceedings of IAUS362: The predictive power of computational astrophysics as discovery tool (D. Bisikalo, T. Hanawa, C. Boily, J. Stone, eds.). arXiv admin note: substantial text overlap with arXiv:2202.08778.
S. Cunnington. (2022)cite arxiv:2202.13828Comment: 18 pages, 10 figures. See Fig 4 for main forecast of turnover detection for different HI IM surveys. See Fig 7 for constraints possible on turnover scale and Fig 8 for demo of how this can be used for cosmology. Accepted for publication in MNRAS.
S. Gezari, M. Bentz, K. De, K. French, A. Meisner, M. Ntampaka, R. Jedicke, E. Patel, D. Perley, R. Sanderson and 21 other author(s). (2022)cite arxiv:2202.12311Comment: 29 pages, 12 figures, Table of Implementation Recommendations, Appendix of Community Science Pitches, AURA-commissioned whitepaper submitted to the Director of STScI (Ken Sembach) and the Director of NOIRLab (Pat McCarthy).