
Survey cutouts plotted directly. (Now with bug fixes!) No user choices, just plotting! These cutouts are intended to be used for a quick view, not analysis. Installation To install: cd ~ git clone https://github.com/avapolzin/cutout.git cd cutout sudo pip install . or pip install cutout Getting Started cutout is intended to be as simple to use as possible. The primary, and only necessary, input is an object's name or coordinates. It is also possible to toggle whether a WCS grid, scalebar, and/or object label is shown, and where/whether to save an output image file. Defaults are no WCS grid, scalebar, or object label, and the output is only shown, not saved locally. A few examples: import cutout cutout.survey.decals('Leo P', wcsgrid = False, scalebar = False, savepath = 'leop_cutout.png', labelimg = True) cutout.survey.decals('10:21:45.12 +18:05:16.89', wcsgrid = False, scalebar = False, savepath = 'leop_cutout.png') cutout.survey.hscssp('COSMOS-dw1') cutout.survey.panstarrs('NGC 5486')
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
