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README.md

@@ -1,77 +1,56 @@
 ---
-description: 'The Photometric LSST Astronomical Time-Series Classification Challenge
+{}
+---
+
+    ---
+    description: 'The Photometric LSST Astronomical Time-Series Classification Challenge
   (PLAsTiCC) is a community-wide challenge to spur development of algorithms to classify
   astronomical transients. The Large Synoptic Survey Telescope (LSST) will discover
   tens of thousands of transient phenomena every single night. To deal with this massive
   onset of data, automated algorithms to classify and sort astronomical transients
   are crucial.
 
-
-  PLAsTiCC, based on the highly successful Supernova Photometric Classification Challenge,
-  will consist of a set of realistic LSST simulations of a variety of transient and
-  variable phenomena. The challenge will be publicly available on a popular data science
-  platform, encouraging algorithm submissions from outside the Astronomy community.
-
   '
 homepage: https://zenodo.org/records/2539456
-version: 0.0.1
-citation: "@article{Kessler_2019,\n   title={Models and Simulations for the Photometric\
-  \ LSST Astronomical Time Series Classification Challenge (PLAsTiCC)},\n   volume={131},\n\
-  \   ISSN={1538-3873},\n   url={http://dx.doi.org/10.1088/1538-3873/ab26f1},\n  \
-  \ DOI={10.1088/1538-3873/ab26f1},\n   number={1003},\n   journal={Publications of\
-  \ the Astronomical Society of the Pacific},\n   publisher={IOP Publishing},\n  \
-  \ author={Kessler, R. and Narayan, G. and Avelino, A. and Bachelet, E. and Biswas,\
+version: 1.0.0
+citation: "% % ACKNOWLEDGEMENTS\n% PLAsTiCC is funded through LSST Corporation Grant\
+  \ Award # 2017-03 and administered by the University of Toronto. Financial support\
+  \ for LSST comes from the National Science Foundation (NSF) through Cooperative\
+  \ Agreement No. 1258333, the Department of Energy (DOE) Office of Science under\
+  \ Contract No. DE-AC02-76SF00515, and private funding raised by the LSST Corporation.\
+  \ The NSF-funded LSST Project Office for construction was established as an operating\
+  \ center under management of the Association of Universities for Research in Astronomy\
+  \ (AURA). The DOE-funded effort to build the LSST camera is managed by the SLAC\
+  \ National Accelerator Laboratory (SLAC).\n% \n% The National Science Foundation\
+  \ (NSF) is an independent federal agency created by Congress in 1950 to promote\
+  \ the progress of science. NSF supports basic research and people to create knowledge\
+  \ that transforms the future\n% \n% CITATION\n@article{Kessler_2019,\n   title={Models\
+  \ and Simulations for the Photometric LSST Astronomical Time Series Classification\
+  \ Challenge (PLAsTiCC)},\n   volume={131},\n   ISSN={1538-3873},\n   url={http://dx.doi.org/10.1088/1538-3873/ab26f1},\n\
+  \   DOI={10.1088/1538-3873/ab26f1},\n   number={1003},\n   journal={Publications\
+  \ of the Astronomical Society of the Pacific},\n   publisher={IOP Publishing},\n\
+  \   author={Kessler, R. and Narayan, G. and Avelino, A. and Bachelet, E. and Biswas,\
   \ R. and Brown, P. J. and Chernoff, D. F. and Connolly, A. J. and Dai, M. and Daniel,\
   \ S. and Stefano, R. Di and Drout, M. R. and Galbany, L. and González-Gaitán, S.\
   \ and Graham, M. L. and Hložek, R. and Ishida, E. E. O. and Guillochon, J. and Jha,\
   \ S. W. and Jones, D. O. and Mandel, K. S. and Muthukrishna, D. and O’Grady, A.\
   \ and Peters, C. M. and Pierel, J. R. and Ponder, K. A. and Prša, A. and Rodney,\
   \ S. and Villar, V. A.},\n   year={2019},\n   month=jul, pages={094501} }\n"
-dataset_info:
-  config_name: train_only
-  features:
-  - name: lightcurve
-    sequence:
-    - name: band
-      dtype: string
-    - name: flux
-      dtype: float32
-    - name: flux_err
-      dtype: float32
-    - name: time
-      dtype: float32
-  - name: hostgal_photoz
-    dtype: float32
-  - name: hostgal_specz
-    dtype: float32
-  - name: redshift
-    dtype: float32
-  - name: obj_type
-    dtype: string
-  - name: object_id
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 149628748
-    num_examples: 7848
-  download_size: 15386761
-  dataset_size: 149628748
-configs:
-- config_name: train_only
-  data_files:
-  - split: train
-    path: train_only/train-*
----
-
-# Plasticc Dataset
+    ---
 
-CC BY 4.0
+    # Plasticc Dataset
 
-The Photometric LSST Astronomical Time-Series Classification Challenge (PLAsTiCC) is a community-wide challenge to spur development of algorithms to classify astronomical transients. The Large Synoptic Survey Telescope (LSST) will discover tens of thousands of transient phenomena every single night. To deal with this massive onset of data, automated algorithms to classify and sort astronomical transients are crucial.
+    CC BY 4.0
 
-PLAsTiCC, based on the highly successful Supernova Photometric Classification Challenge, will consist of a set of realistic LSST simulations of a variety of transient and variable phenomena. The challenge will be publicly available on a popular data science platform, encouraging algorithm submissions from outside the Astronomy community.
+    The Photometric LSST Astronomical Time-Series Classification Challenge (PLAsTiCC) is a community-wide challenge to spur development of algorithms to classify astronomical transients. The Large Synoptic Survey Telescope (LSST) will discover tens of thousands of transient phenomena every single night. To deal with this massive onset of data, automated algorithms to classify and sort astronomical transients are crucial.
 
 
+    % % ACKNOWLEDGEMENTS
+% PLAsTiCC is funded through LSST Corporation Grant Award # 2017-03 and administered by the University of Toronto. Financial support for LSST comes from the National Science Foundation (NSF) through Cooperative Agreement No. 1258333, the Department of Energy (DOE) Office of Science under Contract No. DE-AC02-76SF00515, and private funding raised by the LSST Corporation. The NSF-funded LSST Project Office for construction was established as an operating center under management of the Association of Universities for Research in Astronomy (AURA). The DOE-funded effort to build the LSST camera is managed by the SLAC National Accelerator Laboratory (SLAC).
+% 
+% The National Science Foundation (NSF) is an independent federal agency created by Congress in 1950 to promote the progress of science. NSF supports basic research and people to create knowledge that transforms the future
+% 
+% CITATION
 @article{Kessler_2019,
    title={Models and Simulations for the Photometric LSST Astronomical Time Series Classification Challenge (PLAsTiCC)},
    volume={131},
@@ -85,3 +64,4 @@ PLAsTiCC, based on the highly successful Supernova Photometric Classification Ch
    year={2019},
    month=jul, pages={094501} }
 
+