Ste Rinaldi
Ste Rinaldi

 Universität Heidelberg


[ 

  • Eng 
  • Ita 

]




  • Home
  • Blog
  • Archive
  • Projects
  • Papers
  • About



Contacts


© 2022 Ste Rinaldi.


Papers (and other useful stuff)

Here you find the short-author papers I contributed to as well as some useful resources.

CV and publications Papers Resources

CV and publications

LinkDescription

CV

Curriculum Vitae

Publications

List of publications

ADS

Complete list of publications on ADS

Papers

LinkDescription

Rinaldi & Ramírez-Tannus. (2024)

Non-parametric identification of single-lined binary candidates in young clusters using single-epoch spectroscopy

Ng et al. (2024)

Inferring cosmology from gravitational waves using non-parametric detector-frame mass distribution

Poon et al. (2024)

Galaxy lens reconstruction based on strongly lensed gravitational waves: similarity transformation degeneracy and mass-sheet degeneracy

Rinaldi & Del Pozzo (2024)

FIGARO: hierarchical non-parametric inference for population studies

Rinaldi et al. (2024b)

Hierarchical inference of evidence using posterior samples

Rinaldi (2024)

Accounting for selection biases in population analyses: equivalence of the in-likelihood and post-processing approaches

Iorio et al. (2024)

The boring history of Gaia BH3 from isolated binary evolution

Rinaldi et al. (2024a)

Evidence of evolution of the black hole mass function with redshift

Dotti et al. (2023)

A fast test for the identification and confirmation of massive black hole binaries

Morton et al. (2023)

GW190521: a binary black hole merger inside an active galactic nucleus?

Sgalletta et al. (2023)

Binary neutron star populations in the Milky Way

Rinaldi et al. (2023)

Systematic errors in the determination of the constant of gravitation

Cheung et al. (2023)

Mitigating the effect of population model uncertainty on strong lensing Bayes factor using nonparametric methods

Rinaldi & Del Pozzo (2022b)

Rapid localization of gravitational wave hosts with FIGARO

Mastrogiovanni et al. (2022)

Cosmology with Gravitational Waves: a review

Rinaldi & Del Pozzo (2022a)

(H)DPGMM: a hierarchy of Dirichlet process Gaussian mixture models for the inference of the black hole mass function

Mastrogiovanni et al. (2021)

On the importance of source population models for gravitational-wave cosmology

Resources

LinkDescription

Demoblack group

The Demoblack group in Padova/Heidelberg

RayNest

Parallel nested sampling in Python

FIGARO

Multivariate probability density estimator

Conjugate priors

Everything you need to know about the conjugate priors to the Gaussian distribution

© 2022 Ste Rinaldi.

cc by sa 

Some rights reserved.

Pwrd by Mr. Green