5 citations · 9 across the 5 of their papers we have counts for
6 papers
Flux jump correction in the QUBIC TES data pipeline
Belen Costanza, Lucas Merlo Azzolina, Claudia G. Scoccola +20
Flux jumps occur in the readout electronics of Transition Edge Sensor (TES) detectors coupled to Superconducting Quantum Interference Devices (SQUIDs), as a consequence of the peri…
The DREAMS Project: Disentangling the Impact of Halo-to-Halo Variance and Baryonic Feedback on Milky Way Dark Matter Density Profiles
Alex M. Garcia, Jonah C. Rose, Paul Torrey +23
In this work, we utilize a new suite of Milky Way-mass halos from the DREAMS Project, simulated with Cold Dark Matter (CDM), to quantify the influence of baryon feedback and intrin…
On the sensitivity of different galaxy properties to warm dark matter
Belén Costanza, Bonny Y. Wang, Francisco Villaescusa-Navarro +7
We study the impact of warm dark matter (WDM) particle mass on galaxy properties using 1,024 state-of-the-art cosmological hydrodynamical simulations from the DREAMS project. We be…
DeepWiener: Neural Networks for CMB polarization maps and power spectrum computation
Belén Costanza, Claudia G. Scóccola, Matías Zaldarriaga
To study the early Universe, it is essential to estimate cosmological parameters with high accuracy, which depends on the optimal reconstruction of Cosmic Microwave Background (CMB…
Introducing the DREAMS Project: DaRk mattEr and Astrophysics with Machine learning and Simulations
Jonah C. Rose, Paul Torrey, Francisco Villaescusa-Navarro +27
We introduce the DREAMS project, an innovative approach to understanding the astrophysical implications of alternative dark matter models and their effects on galaxy formation and…
Enhancing CMB map reconstruction and power spectrum estimation with convolutional neural networks
Belén Costanza, Claudia G. Scóccola, Matías Zaldarriaga
The accurate reconstruction of Cosmic Microwave Background (CMB) maps and the measurement of its power spectrum are crucial for studying the early universe. In this paper, we imple…