Search Results for author:
Found 6 papers, 5 papers with code
The Southern Photometric Local Universe Survey (S-PLUS): improved SEDs, morphologies and redshifts with 12 optical filters
The Southern Photometric Local Universe Survey (S-PLUS) is imaging ~9300 deg^2 of the celestial sphere in twelve optical bands using a dedicated 0. 8 m robotic telescope, the T80-South, at the Cerro Tololo Inter-American Observatory, Chile.
Astrophysics of Galaxies Cosmology and Nongalactic Astrophysics High Energy Astrophysical Phenomena Instrumentation and Methods for Astrophysics Solar and Stellar Astrophysics
A case study of hurdle and generalized additive models in astronomy: the escape of ionizing radiation
A pivotal aspect to comprehend the EoR is to probe the intertwined relationship between the fraction of ionizing photons capable to escape dark haloes, also known as the escape fraction ($f_{esc}$), and the physical properties of the galaxy.
Instrumentation and Methods for Astrophysics Cosmology and Nongalactic Astrophysics Applications
Optimizing spectroscopic follow-up strategies for supernova photometric classification with active learning
We report a framework for spectroscopic follow-up design for optimizing supernova photometric classification.
Instrumentation and Methods for Astrophysics Cosmology and Nongalactic Astrophysics
A probabilistic approach to emission-line galaxy classification
The GC5 appears associated to the LINER and Passive galaxies on the BPT and WHAN diagrams respectively.
On the realistic validation of photometric redshifts, or why Teddy will never be Happy
Two of the main problems encountered in the development and accurate validation of photometric redshift (photo-z) techniques are the lack of spectroscopic coverage in feature space (e. g. colours and magnitudes) and the mismatch between photometric error distributions associated with the spectroscopic and photometric samples.
Astrophysics of Galaxies Instrumentation and Methods for Astrophysics
cosmoabc: Likelihood-free inference via Population Monte Carlo Approximate Bayesian Computation
Approximate Bayesian Computation (ABC) enables parameter inference for complex physical systems in cases where the true likelihood function is unknown, unavailable, or computationally too expensive.
Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics
