This indicates that the neural network method is feasible and powerful for spec-z and photo-z estimations in future cosmological surveys.
Photometric Redshift Estimation Cosmology and Nongalactic Astrophysics
Road maintenance during the Winter season is a safety critical and resource demanding operation.
In this paper, we attempt to demonstrate the potential of this new model for crash prediction through two case studies including a collision data set from 800 km stretch of Highway 401 and other highways in Ontario, Canada.
Results show that the proposed model has the highest classification performance in comparison to the traditional machine learning techniques.
A total of 747, 856 sets of data are generated and used for both traffic flow states classification and sensitivity analysis of input variables.
1 code implementation • 11 Sep 2014 • Jes Ford, Ludovic van Waerbeke, Martha Milkeraitis, Clotilde Laigle, Hendrik Hildebrandt, Thomas Erben, Catherine Heymans, Henk Hoekstra, Thomas Kitching, Yannick Mellier, Lance Miller, Ami Choi, Jean Coupon, Liping Fu, Michael J. Hudson, Konrad Kuijken, Naomi Robertson, Barnaby Rowe, Tim Schrabback, Malin Velander
We present the cluster mass-richness scaling relation calibrated by a weak lensing analysis of >18000 galaxy cluster candidates in the Canada-France-Hawaii Telescope Lensing Survey (CFHTLenS).
Cosmology and Nongalactic Astrophysics