js9

v3.8.0

Published

2 years ago

astronomical image display everywhere

Downloads

687

0High
0Medium
0Low

ericmandel

astronomy software image display

My software career comes to an end on July 1, 2022 and with it will end active development of JS9. Please plan accordingly. Eric

JS9: astronomical image display everywhere

JS9

What does it do?

display FITS images, binary tables, data cubes, and multi-extension files
colormaps, scaling, pan, zoom, binning, blending, print, export ...
region support: create, manipulate, import, export, ...
drag and drop images, regions, catalogs
server-side and local analysis using the JS9 public API
control JS9 using scripts from the Linux shell or Python
runs on Macs, Linux, Windows, iPads, iPhones, ...
runs as a Desktop app in all modern browsers
utilizes WebAssembly (FITS processing at near native speed!)

How can I try it out?

Go to JS9 web site and drag a FITS data file onto the JS9 display:

https://js9.si.edu

You can even specify a remote FITS file and associated image display parameters as part of the URL:

https://js9.si.edu/js9/js9.html?url=https://hea-www.cfa.harvard.edu/~eric/coma.fits.gz&colormap=cool

The JS9 web site also contains on-line documentation, demos, and release downloads.

To install or not to install ...

For many users, there is no need to install JS9: simply use the JS9 web site to display your data. You can even upload your FITS files to the web site and run our server-side analysis.

Installing JS9 allows you to create your own web pages, tailor site parameters, and add your own local and server-based analysis tasks. Grab the latest version from JS9 on GitHub:

git clone https://github.com/ericmandel/js9

Load a local page into your browser:

file:///path/to/js9/js9.html

(NB: Chrome needs to run with the --allow-file-access-from-files switch to use the file URI.)

For Desktop use, install Electron.js and use the js9 script to start the Desktop app and load an image:

js9 -a ~/data/m13.fits

For more advanced support (web-based support, support for handling large files), build the JS9 helper and install JS9 in a web directory:

# configure location to install the JS9 web files,
# where to find cfitsio library and include files,
# where to install programs and scripts,
# what sort of helper to build:
./configure --with-webdir=[path_to_web_install] \
            --with-cfitsio=[path_to_cfitsio]    \
            --prefix=[path_to_prog_install]     \
            --with-helper=nodejs

# the usual ...
make
make install

# start helper
cd path_to_web_install
# in the bash shell:
node js9Helper.js 1>~/logs/js9node.log 2>&1 &
# or, in the tcsh shell:
node js9Helper.js >& ~/logs/js9node.log &

What about scripting?

The js9 script allows you to control a JS9 web page from the Linux command line using the JS9 Public API (scripting requires installation of JS9 and either node.js or Electron.js):

js9 Load chandra.fits '{"scale":"log","colormap":"red","contrast":5.78,"bias":0.15}'
js9 Load spitzer.fits '{"scale":"log","colormap":"blue","contrast":6.3,"bias":0.54}'
js9 ReprojectData chandra.fits

Python users can install pyjs9:

git clone https://github.com/ericmandel/pyjs9
...
import pyjs9
j = pyjs9.JS9()
j.Load('chandra.fits', '{"scale":"log","colormap":"red","contrast":5.78,"bias":0.15}')
j.Load('spitzer.fits', '{"scale":"log","colormap":"blue","contrast":6.3,"bias":0.54}')
j.ReprojectData('chandra.fits')