Title: LOR Deep Probabilist Networks for photoz estimation
Contributors: Simona Mei, Eric Aubourg, Alexandre Boucaud et Cécile Roucelle
- Summary Statement
At APC, we intend to use Deep Probabilistic Networks for photoz estimation. The team has a strong expertise in this kind of network. We are starting the research and development of this new tool. Deep Convolutional networks (CNN) have already been very successful for photoz estimation (Shuntov et al. 2020) and probabilistic networks will also be able to give a probability distribution.
A Ph.D. student has started to explore Bayesian CNN and we will continue to develop this kind of method in the next few years.
This is to notify you of what we are doing and we will be able to present more details in the future.
The probabilistic network will extend the work done so far with CNN by giving a probability distribution.
PZ and probability distribution
We don’t know yet