IWAPP - Innovative Workflows in Astro- & Particle Physics

Session

Workflows

9 mars 2021, 09:30

Online

Présidents de session

Workflows: Specific approaches

• Cristiano Bozza

Workflows: Solutions in Research Infrastructures

• Thomas Eberl (ECAP - Uni Erlangen)

Workflows: Open interactive session

• Il n'a pas de président de session pour ce bloc

Description

Specific workflow solutions

3. MEGAVIS - Real-time spectra analysis and visualization with autoencoders

Dr Antonio D'Isanto (HITS gGmbH)

09/03/2021 09:30

The data explosion in astronomy requires the development of new techniques both from the infrastructure and from the analysis side. In particular, the increase of the data complexity demands a parallel effort to deliver efficient and standardized solutions for accessing and managing data, tools and software. This is the main purpose of ESCAPE. In this talk I will give an overview of the work...

13. APEIRON

Luca Pontisso, Matteo Turisini (INFN)

09/03/2021 10:00

APEIRON is an INFN Scientific Committee 5 funded project aimed at designing and developing a framework to study, prototype and deploy AI-based real-time processing apparatuses boosting particle identification capabilities in trigger systems or performing efficient online data reduction for triggerless ones.
It involves the definition of the general architecture of a heterogeneous distributed...

2. Real-time analysis in high energy physics and beyond

Caterina Doglioni (Lund University)

09/03/2021 10:30

The Large Hadron Collider collides protons up to 30 million times a second, and provides its experiments with an enormous amount of data. The trigger systems of each experiment quickly analyse and decide whether to retain each of those collision events from the LHC for further analysis, on a timescale of the order of milliseconds. In this seminar, I will present/discuss an overview of the...

16. Some benefits of using normalizing flows for PDF modelling

Thorsten Glüßenkamp

09/03/2021 11:15

18. A machine learning workflow for reproducible data science

Luca Antiga

09/03/2021 11:45

The advent of new machine learning approaches to astrophysics and particle physics comes with the challenge
of identifying a set of tools that can support machine learning-driven workflows for data analysis in this domain.
The list of available tools is growing by the day, and it can be challenging to identify a good starter set of tools.
In this talk we will explore a few building blocks...

4. Machine Learning Algorithms in LIGO-Virgo

Maxime Fays

10/03/2021 09:30

Machine learning techniques are increasingly popular in gravitational-wave physics. I will introduce some of the current applications in the field, from detector noise characterisation to data analysis techniques and highlight areas of active development with strong innovative potential for current-generation detectors.

6. Anomaly Detection in Gravitational Waves data using Convolutional AutoEncoders

Filip Morawski (Nicolaus Copernicus Astronomical Center of the Polish Academy of Sciences)

10/03/2021 10:00

15. Science data challenges for the SKA

Alex Clarke

10/03/2021 10:20

I will talk about some of the work we have been doing at the Square Kilometer Array (SKA) creating data challenges that help prepare users for when the SKA comes online. The focus of these is to give users data similar to that expected from the telescope, and ask them to implement workflows that produce science outputs. The first data challenge involved identifying and classifying sources in...

8. Machine Learning Workflows in KM3NeT

Stefan Reck (ECAP - University of Erlangen)

10/03/2021 11:10

KM3NeT consist of two water-Cherenkov neutrino detectors currently under construction in the Mediterranean Sea:
the low energy site ORCA in France, as well as the high energy site ARCA in Italy. ORCA's goal is the determination of the neutrino mass hierarchy by measuring the energy- and zenith-angle-resolved oscillation probabilities of atmospheric neutrinos traversing the Earth. ARCA will...

5. Incorporating deep learning into the analysis of the Cherenkov Telescope Array

Tjark Miener

10/03/2021 11:40

27. GNA: data flow approach for the neutrino oscillation experiments

Maxim Gonchar (JINR), Maxim Gonchar (JINR)

10/03/2021 12:10

GNA is a framework dedicated for building and fitting large scale models related to the neutrino oscillation physics. The core is written in C++ and operated from within Python. Following the data flow paradigm the model is built as a directed acyclic graph. Each node of the graph represents a function that operates on a vectorized data and depends on a few parameters. Any part of the graph is...

45. ALFA / FairRoot Framework

Dmytro Kresan (GSI)

10/03/2021 14:00

41. The OSSR

Jutta Schnabel (FAU Erlangen (ECAP))

10/03/2021 14:00

This contribution demonstrates how you can share your own work during the open poster session, by sharing a webpage or poster pointing to your work. Please provide links or uploads through the form "Open session contribution"