O'Connell August 2021 ====================== SIMPLE UNIX "ASCII LITERATURE LIBRARY" METHOD: 1) Sign up for daily mailings of newly submitted abstracts from arXiv.org 2) arXiv sends a single composite ASCII (text) file of abstracts received during the last 24 hours (M-F). You can read it from your mailer or save it to your computer to read later. 3) Copy individual abstracts of interest and paste each into an ASCII file with a title containing the lead author's name, a compressed description, and the year. I use a ".abs" suffix for clarity. Optionally do light editing on the abstract: e.g. breaking the usual indigestible block of text into separate paragraphs or capitalizing key items. 4) Store files in topic-oriented directories. In some cases, it's useful to cross-index files by storing them under several topics. You could also use soft links to do that. 5) You can read, annotate, search, list, rename, grep, sort, combine, or hardcopy files with simple UNIX commands using the Terminal. The "more" command to display content doesn't care about an ASCII file's suffix. Terminal display and manipulation of files is faster and cleaner than dealing with PDF, Word, or other proprietary formats. 6) Download full PDF versions only of papers that appear particularly relevant or important. The URL for the PDF is contained in the abstract file. 7) If you don't want to be bothered with daily mailings, you can use the same technique directly on the arXiv.org listings as viewed in a browser, although this is less convenient, more time consuming, and requires you to take the initiative. 8) This method allows you to search/organize literature files by author, date, and title. You can add additional special keywords to files to help find or organize them in the form of "tags." Most popular operating systems support the use of arbitrary tags. MacOS offers a robust system. The content of files is not changed: instead, tags are associated with them as metadata by the file management system. One problem with this feature is that although the files themselves are portable, metadata may not survive a migration to another computer or operating system. 9) You can embed BibTex-like entries in the files, but that involves an extra step. EXAMPLE: /Users/rwo/lit/spops ls -lt * -rw-r--r-- 1 rwo staff 2065 Jul 20 15:24 sharda-origin-bottom-heavy-IMFs-21.abs -rw-r--r-- 1 rwo staff 2355 Jul 19 15:31 kauffmann-popgrads-faceon-disks-MANGA-21.abs -rw-r--r-- 1 rwo staff 2059 Jul 19 15:28 kauffmann-flatter-central-IMF-in-MANGA-disks-21.abs -rw-r--r-- 1 rwo staff 2101 Jul 8 08:50 lonoce-IMF-M89-spectral-index-bias-21.abs -rw-r--r--@ 1 rwo staff 25676369 Jul 5 16:10 greene-resolved-EA-galaxies-MANGA-21.pdf -rw-r--r-- 1 rwo staff 1975 Jul 5 16:06 greene-resolved-EA-galaxies-MANGA-21.abs -rw-r--r-- 1 rwo staff 2487 Jul 5 15:59 fielder-MW-UV-to-IR-SED-21.abs -rw-r--r-- 1 rwo staff 2176 Jun 29 11:26 chandar-SFH-PSB-glx-from-clusters-21.abs -rw-r--r-- 1 rwo staff 2387 Jun 29 10:57 sedgwick-SFR-in-Eglx-from-SNe-21.abs -rw-r--r-- 1 rwo staff 2052 Jun 28 12:04 bravo-glx-color-evol-no-green-pop-21.abs ... /Users/rwo/lit/spops more greene-resolved-EA-galaxies-MANGA-21.abs \\ arXiv:2106.15613 Date: Tue, 29 Jun 2021 17:58:26 GMT (29720kb,D) Title: Refining the E+A Galaxy: A Spatially Resolved Spectrophotometric Sample of Nearby Post-starburst Systems in SDSS-IV MaNGA (MPL-5) Authors: Olivia A. Greene, Miguel R. Anderson, Mariarosa Marinelli, Kelly Holley-Bockelmann, Lauren E. P. Campbell, and Charles T. Liu Categories: astro-ph.GA Comments: 11 pages, 2 tables, 8 figures and a complete sample appendix Journal-ref: ApJ, 910, 162 (2021) DOI: 10.3847/1538-4357/abe4d1 \\ Post-starburst galaxies are crucial to disentangling the effect of star formation and quenching on galaxy demographics. They comprise, however, a heterogeneous population of objects, described in numerous ways. To obtain a well-defined and uncontaminated sample, we take advantage of spatially resolved spectroscopy to construct an unambiguous sample of E + A galaxies - post-starburst systems with no observed ongoing star formation. Using data from the Mapping Nearby Galaxies at Apache Point Observatory (MaNGA) Survey, in the fourth generation of the Sloan Digital Sky Survey (SDSS-IV), we have identified 30 E + A galaxies that lie within the green valley of color-stellar mass space. We first identified E + A candidates by their central, single-fiber spectra and (u-r) color from SDSS DR15, and then further required each galaxy to exhibit E + A properties throughout the entirety of the system to three effective radii. We describe our selection criteria in detail, note common pitfalls in E + A identification, and introduce the basic characteristics of the sample. We will use this E + A sample, which has been assembled with stringent criteria and thus re-establishes a well-defined subpopulation within the broader category of post-starburst galaxies, to study the evolution of galaxies and their stellar populations in the time just after star formation within them is fully quenched. \\ ( https://arxiv.org/abs/2106.15613 , 29720kb) -------- <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<