MMM-tns is a MagicMirror module to display latest new astronomical transients from TNS such as supernova candidates.
You need to have MagicMirror installed first. Then go to the modules
folder and clone this repository:
cd /path/to/MagicMirror/modules
git clone https://github.com/JulienPeloton/MMM-tns.git
You might have to install it if you do not have the request package:
cd /path/to/MagicMirror/modules/MMM-tns
npm install
The default preview with cutouts:
Note that the cutouts are empty if they cannot be found. The same without the cutouts:
Edit the MagicMirror configuration file (config/config.js
), and add a new module:
{
module: 'MMM-tns',
position: 'top_right',
config: {
header: "<img src='https://wis-tns.weizmann.ac.il/sites/default/files/favicon.png' alt='logo' />",
nrows: 5,
date_start: '2019-12-20',
classified_sne: '1',
intervalSeconds: 60 * 60,
emptyMessage: "No data",
withImage: true,
columns: [
{ name: "Name", title: "Name", cssClass: "left" },
{ name: "Reporting Group/s", title: "Reporting Group/s", cssClass: "right" },
{ name: "Obj. Type", title: "Obj. Type", cssClass: "right" },
{ name: "Disc. Internal Name", title: "Disc. Internal Name", cssClass: "left" },
{ name: "Discovery Date (UT)", title: "Discovery Date (UT)", cssClass: "left" }
]
}
},
The different options are
Name | Type | Comments |
---|---|---|
header |
string | Simple text, or html to display image |
nrows |
int | Number of objects to display |
date_start |
string | Earliest date to start YYYY-MM-DD |
classified_sne |
string | '0' is all candidates, '1' is only confirmed supernova |
intervalSeconds |
int | Interval in seconds to rerun the query |
emptyMessage |
string | What to display when the query returns no objects |
withImage |
bool | Display cutouts or not |
columns |
list of dict | Object properties to display (see below) |
The available object properties are: ID, Name, Reps, Class, RA, DEC, Obj. Type, Redshift, Host Name, Host Redshift, Reporting Group/s, Discovery Data Source/s, Classifying Group/s, Disc. Internal Name, Public, Object Spectra, Discovery Mag, Discovery Mag, Filter, Discovery Date (UT), Sender.