DAME
Science
DAME Suite Infrastructure provides the following Science & Technology products:
-
Evaluation of photometric redshifts
in the SDSS archive (catalogues)
- a use case tutorial is now available on Electronic Newsletter
- download training dataset for experiment (ASCII) (dataset_training.dat)
- download training dataset for experiment (FITS) (dataset_training.fits)
- download test dataset for experiment (ASCII) (dataset_run.dat)
- download test dataset for experiment (FITS) (dataset_run.fits)
- download fits data file for tutorial's experiment (dataset_parent.fits)
VOGCLUSTERS, A web Application for data mining in globular clusters
DAME-GCS (Globular Clusters Search in marginally resolved images). Neural Network technique (Multi Layer Perceptron trained by the Quasi-Newton learning rule) to show that it is possible to effectively identify Globular Clusters in external galaxies, using single-band photometry and marginally resolved images.
DAME-TD (Variable Sky Objects Detection by an Automatic Workflow). A web-based automatic pipeline to classify transients from multi-band images. It uses Neural Network based classification models, trained by a dataset obtained through a simulation environment able to reproduce realistic images with a large variety of modeled variable objects, such as Cepheids, AGN, Supernovae etc.
DAME-KAppA (DAME & Knime Application Assembly). A framework to interface DAME Web application and Knime Desktop application to perform astrophysical experiments. With such tool users are capable to execute scientific workflows from DAME through the embedded Knime engine.
