8 citations · 26 across the 12 of their papers we have counts for
12 papers
Rapid data quality investigations of gravitational-wave events with the Data Quality Report Builder toolkit
Derek Davis, Zach Yarbrough, Joseph Areeda +30
We present the Data Quality Report Builder toolkit, DQRbuild, a suite of data quality tools that have been developed to vet gravitational-wave events in preparation for the fourth…
Automatic classification pipeline for glitches in the Virgo detector
Tiago Fernandes, Francesco Di Renzo, Antonio Onofre +2
Glitches frequently contaminate data in gravitational-wave detectors, complicating the observation and analysis of astrophysical signals. This work introduces VIGILant, an automati…
Searching for the QCD critical endpoint using multi-point Padé approximations
David A. Clarke, Petros Dimopoulos, Francesco Di Renzo +4
Using the multi-point Padé approach, we locate Lee-Yang edge singularities of the QCD pressure in the complex baryon chemical potential plane. These singularities are extracted fro…
Large fluctuations in NSPT computations: a lesson from non-linear sigma models
P. Baglioni, F. Di Renzo
In the last three decades, Numerical Stochastic Perturbation Theory (NSPT) has proven to be an excellent tool for calculating perturbative expansions in theories such as Lattice QC…
The International Lattice Data Grid (ILDG 2.0)
F. Di Renzo
We report on status and perspectives of the International Lattice Data Grid. ILDG was established some twenty years ago as a community-wide initiative to enable the sharing of gaug…
NSPT for non-linear sigma model: the larger the better
Paolo Baglioni, Francesco Di Renzo
The non-linear sigma model (NLSM) is an example of field theory on a target space with nontrivial geometry. One interesting feature of NLSM is asymptotic freedom, which make…
Searching for the QCD critical point using Lee-Yang edge singularities
D. A. Clarke, P. Dimopoulos, F. Di Renzo +4
Using QCD calculations at physical quark mass and purely imaginary baryon chemical potential, we locate Lee-Yang edge singularities in the complex chemical potential plan…
Predictive power of a Bayesian effective action for fully-connected one hidden layer neural networks in the proportional limit
P. Baglioni, R. Pacelli, R. Aiudi +4
We perform accurate numerical experiments with fully-connected (FC) one-hidden layer neural networks trained with a discretized Langevin dynamics on the MNIST and CIFAR10 datasets.…
Detecting Lee-Yang/Fisher singularities by multi-point Padè
F. Di Renzo, D. A. Clarke, P. Dimopoulos +4
The Bielefeld Parma Collaboration has in recent years put forward a method to probe finite density QCD by the detection of Lee-Yang singularities. The location of the latter is obt…
Universal scaling and the asymptotic behaviour of Fourier coefficients of the baryon-number density in QCD
Christian Schmidt, David A. Clarke, Petros Dimopoulos +5
We discuss the scaling of the Yang-Lee singularity (YLs) and show how the universal scaling can be used to locate phase transitions in QCD. We describe two complementary methods to…
Exploring the Critical Points in QCD with Multi-Point Padé and Machine Learning Techniques in (2+1)-flavor QCD
Jishnu Goswami, D. A. Clarke, P. Dimopoulos +4
Using simulations at multiple imaginary chemical potentials for -flavor QCD, we construct multi-point Padé approximants. We determine the singularties of the Padé approximan…
Exploring Lee-Yang and Fisher Zeros in the 2D Ising model through multipoint Padé approximants
Simran Singh, Massimo Cipressi, Francesco Di Renzo
We present a numerical calculation of the Lee-Yang and Fisher zeros of the 2D Ising model using multi-point Padé approximants. We perform simulations for the 2D Ising model with fe…