add citation.cff

CITATION.cff

@@ -0,0 +1,50 @@
+cff-version: 1.1.0
+message: "Please cite the following works when using this software: https://ui.adsabs.harvard.edu/abs/2022MNRAS.509.3966W"
+authors:
+- family-names: Walmsley
+  given-names: Mike
+- family-names: Lintott
+  given-names: Chris
+- family-names: Géron
+  given-names: Tobias
+- family-names: Kruk
+  given-names: Sandor
+- family-names: Krawczyk
+  given-names: Coleman
+- family-names: Willett
+  given-names: Kyle W.
+- family-names: Bamford
+  given-names: Steven
+- family-names: Kelvin
+  given-names: Lee S.
+- family-names: Fortson
+  given-names: Lucy
+- family-names: Gal
+  given-names: Yarin
+- family-names: Keel
+  given-names: William
+- family-names: Masters
+  given-names: Karen L.
+- family-names: Mehta
+  given-names: Vihang
+- family-names: Simmons
+  given-names: Brooke D.
+- family-names: Smethurst
+  given-names: Rebecca
+- family-names: Smith
+  given-names: Lewis
+- family-names: Baeten
+  given-names: Elisabeth M.
+- family-names: Macmillan
+  given-names: Christine
+title: "Zoobot: Deep learning galaxy morphology classifier"
+version: 0.0.2
+date-released: 2022-04-01
+identifiers:
+ - type: "ascl-id"
+   value: "2203.027"
+ - type: "doi"
+   value: PLACEHOLDER
+ - type: "bibcode"
+   value: "2022ascl.soft03027W"
+abstract: "Zoobot classifies galaxy morphology with Bayesian CNN. Deep learning models were trained on volunteer classifications; these models were able to both learn from uncertain volunteer responses and predict full posteriors (rather than point estimates) for what volunteers would have said. The code reproduces and improves Galaxy Zoo DECaLS automated classifications, and can be finetuned for new tasks."

README.md

@@ -1,6 +1,7 @@
 # Zoobot
 
 [![Documentation Status](https://readthedocs.org/projects/zoobot/badge/?version=latest)](https://zoobot.readthedocs.io/)
+<a href="https://ascl.net/2203.027"><img src="https://img.shields.io/badge/ascl-2203.027-blue.svg?colorB=262255" alt="ascl:2203.027" /></a>
 
 Zoobot classifies galaxy morphology with deep learning. This code will let you:
 
@@ -88,4 +89,4 @@ For replication of the GZ DECaLS classifier see /replicate. This contains slurm
 
 ### Citing
 
-If you use this repo for your research, please cite [the paper](https://arxiv.org/abs/2102.08414).
+If you use this repo for your research, please cite [the paper](https://arxiv.org/abs/2102.08414) and the [code](TODO) (via Zenodo).