Alkistis Pourtsidou

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University of Edinburgh

United Kingdom

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Recent Grants

Grant: Close

Astronomy Research at Queen Mary 2020 - 2023

Open Date: 2020-03-31

Close Date: 2024-03-31

Grant: Close

Exploring the Universe with radio and optical galaxy surveys

Open Date: 2019-04-30

Close Date: 2023-04-29

Grant: Close

Neutral Hydrogen intensity mapping with MeerKAT

Open Date: 2019-03-31

Close Date: 2021-09-29

Grant: Close

COSMOLOGY THEORY MEETS DATA: MODELLING NON-LINEAR SCALES FOR DARK ENERGY EXPERIMENTS

Open Date: 2018-09-30

Close Date: 2022-03-30

Grant: Close

SA-DISCNet: A collaborative data science training network across southern Africa and southern UK

Open Date: 2018-01-01

Close Date: 2019-03-31

Articles (14)

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2025

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2024

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2024

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2023

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2023

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2022

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2022

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2022

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2021

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2021

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2021

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2021

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2021

Collaborators (4)

Stefano Camera

Associate Professor

Università degli Studi di Torino

ITALY

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Santiago Avila

Institut de Física d'Altes Energies

SPAIN

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Pedro Carrilho

Senior Lecturer in Data Science

University of Hertfordshire

UNITED KINGDOM

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Rafael Toledo-Moreo

Universidad Politécnica de Cartagena

SPAIN

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Alkistis Pourtsidou

Research Interests

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Contact this professor

Recent Grants

Articles (14)

Emission-line Stacking of 21 cm Intensity Maps with MeerKLASS: Inference Pipeline and Application to the L-band Deep-field Data

Classifying modified gravity and dark energy theories with Bayesian neural networks: massive neutrinos, baryonic feedback, and the theoretical error

Power spectrum multipoles and clustering wedges during the epoch of reionization

Dark scattering: accelerated constraints from KiDS-1000 with ReACT and CosmoPower

Interferometric H i intensity mapping: perturbation theory predictions and foreground removal effects

Fast and accurate predictions of the non-linear matter power spectrum for general models of Dark Energy and Modified Gravity

Redshift space distortions: Unmixing radial scales in projection

On the road to per cent accuracy VI: the non-linear power spectrum for interacting dark energy with baryonic feedback and massive neutrinos

KiDS-1000 cosmology: machine learning – accelerated constraints on interacting dark energy with CosmoPower

H i constraints from the cross-correlation of eBOSS galaxies and Green Bank Telescope intensity maps

Euclid preparation: XII. Optimizing the photometric sample of the Euclid survey for galaxy clustering and galaxy-galaxy lensing analyses

SKAO H i intensity mapping: blind foreground subtraction challenge

On the road to per cent accuracy – V. The non-linear power spectrum beyond ΛCDM with massive neutrinos and baryonic feedback

Interacting dark energy from redshift-space galaxy clustering

Collaborators (4)

Stefano Camera

Santiago Avila

Pedro Carrilho

Rafael Toledo-Moreo

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