ExPRES: a Tool to Simulate Exoplanetary and Planetary Radio Emissions

maserlib/ExPRES 31 Jan 2019

Several studies showed that modeling the radio source anisotropic beaming pattern can reveal a wealth of physical information about the planetary or exoplanetary magnetospheres that produce these emissions.

Earth and Planetary Astrophysics

4
0.01 stars / hour

Nuisance hardened data compression for fast likelihood-free inference

justinalsing/pydelfi 4 Mar 2019

This means that the nuisance marginalized inference task involves learning $n$ interesting parameters from $n$ "nuisance hardened" data summaries, regardless of the presence or number of additional nuisance parameters to be marginalized over.

Cosmology and Nongalactic Astrophysics

80
0.01 stars / hour

Using Deep Neural Networks to compute the mass of forming planets

yalibert/DNN_internal_structure 1 Mar 2019

Computing the mass of planetary envelopes and the critical mass beyond which planets accrete gas in a runaway fashion is important when studying planet formation, in particular for planets up to the Neptune mass range.

Earth and Planetary Astrophysics

7
0.01 stars / hour

GPz: Non-stationary sparse Gaussian processes for heteroscedastic uncertainty estimation in photometric redshifts

OxfordML/GPz 12 Apr 2016

The predictive variance of the model takes into account both the variance due to data density and photometric noise.

Instrumentation and Methods for Astrophysics I.2.6

40
0.01 stars / hour

The Cosmic Linear Anisotropy Solving System (CLASS) II: Approximation schemes

PoulinV/class_majoron 14 Apr 2011

Boltzmann codes are used extensively by several groups for constraining cosmological parameters with Cosmic Microwave Background and Large Scale Structure data.

Cosmology and Nongalactic Astrophysics

2
0.01 stars / hour

Massive optimal data compression and density estimation for scalable, likelihood-free inference in cosmology

justinalsing/delfi 4 Jan 2018

Secondly, we present the first cosmological application of Density Estimation Likelihood-Free Inference (\textsc{delfi}), which learns a parameterized model for joint distribution of data and parameters, yielding both the parameter posterior and the model evidence.

Cosmology and Nongalactic Astrophysics

80
0.01 stars / hour

HI intensity mapping correlation function from UNIT simulations: BAO and observationally induced anisotropy

darrencroton/sage 21 May 2021

In order to simulate the telescope beam effect, a Gaussian smoothing is applied on the plane perpendicular to the line of sight.

Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies

19
0.01 stars / hour

An empirical model of the Gaia DR3 selection function

gaia-unlimited/gaiaunlimited 19 Aug 2022

Interpreting and modelling astronomical catalogues requires an understanding of the catalogues' completeness or selection function: objects of what properties had a chance to end up in the catalogue.

Astrophysics of Galaxies Instrumentation and Methods for Astrophysics

9
0.01 stars / hour

The Simons Observatory: Characterizing the Large Aperture Telescope Receiver with Radio Holography

mcmahoncosmologygroup/solat-optics 14 Jul 2022

We present near-field radio holography measurements of the Simons Observatory Large Aperture Telescope Receiver optics.

Instrumentation and Methods for Astrophysics

2
0.01 stars / hour

Deep-learning Real/Bogus classification for the Tomo-e Gozen transient survey

ichiro-takahashi/tomoe-realbogus 24 Jun 2022

We present a deep neural network Real/Bogus classifier that improves classification performance in the Tomo-e Gozen transient survey by handling label errors in the training data.

Instrumentation and Methods for Astrophysics High Energy Astrophysical Phenomena

2
0.01 stars / hour