Physics Without Frontiers: Chile | School on Machine Learning in Physics

13 Jan 2025, 08:00 → 17 Jan 2025, 21:15 Chile/Continental

Sala M301 (Universidad Técnica Federico Santa María)

Physics Without Frontiers: Chile. The School of Machine Learning in Physics, previously called HEP School, will cover a wide range of topics in the main areas of machine learning and physics. Although the school is aimed at graduate students and postdocs who are at the beginning of their career, exceptional undergraduate students are also encouraged to apply. Some prior knowledge of physics and programming will be beneficial to get the most out of the courses.

The number of participants is limited. If you are interested in attending the school, please register before November 30, 2024, at the following link.

There is no registration fee. Lunch will be provided for all participants on school days.

All lectures at the school will be in English. For this reason, language proficiency, along with programming knowledge, is required for participation.

We strongly encourage early-career researchers to participate in our HEPNP conference before the school.

Monday 13 January

08:00 → 08:30 Registration

08:30 → 09:30 Data analysis basics: Introduction to data analysis I

Convener: José Ocariz (LPNHE Université Paris Cité CNRS/IN2P3)

09:30 → 10:00 coffee break

10:00 → 11:00 Machile learning basics: Introduction to machile learning I

Convener: Raquel Pezoa Rivera (Federico Santa Maria Technical University (CL))

11:00 → 12:00 Data analysis basics: Introduction to data analysis II

Convener: José Ocariz (LPNHE Université Paris Cité CNRS/IN2P3)

12:00 → 13:30 Lunch

13:30 → 15:00 Data analysis basics: Data analysis -- Hands on

Convener: José Ocariz (LPNHE Université Paris Cité CNRS/IN2P3)

15:00 → 15:30 coffee break

15:30 → 17:00 Machile learning basics: Machine Learning basics -- Hands On

Convener: Raquel Pezoa Rivera (Federico Santa Maria Technical University (CL))

Tuesday 14 January

08:30 → 09:30 Machile learning basics: Machine learning introduction II

Convener: Raquel Pezoa Rivera (Federico Santa Maria Technical University (CL))

09:30 → 10:00 coffee break

10:00 → 11:00 Data analysis basics: Data analysis introduction III

Convener: José Ocariz (LPNHE Université Paris Cité CNRS/IN2P3)

11:00 → 12:00 Machile learning basics: Machine learning introduction III

Convener: Raquel Pezoa Rivera (Federico Santa Maria Technical University (CL))

12:00 → 13:30 Lunch

13:30 → 15:00 Data analysis basics: Data Analysis -- Hands On

Convener: José Ocariz (LPNHE Université Paris Cité CNRS/IN2P3)

15:00 → 15:30 coffee break

15:30 → 17:00 Machile learning basics: Machine learning -- Hand On

Convener: Raquel Pezoa Rivera (Federico Santa Maria Technical University (CL))

Wednesday 15 January

08:30 → 09:30 Applications to NP Experiments: Introduction to acceletor physics I

Convener: Dr David Lawrence (Jlab)

09:30 → 10:00 coffee break

10:00 → 11:00 Invited talk: Talk I

11:00 → 12:00 Applications to Astrophysics: Applications to Astrophysics I

12:00 → 13:30 Lunch

13:30 → 15:00 Applications to NP Experiments: Hands On

Convener: Dr David Lawrence (Jlab)

15:00 → 15:30 coffee break: Coffee Break

15:30 → 17:00 Applications to Astrophysics: Applications to Astrophysics -- Hands On

Thursday 16 January

08:30 → 09:30 Applications to Astrophysics: Applications to Astrophysics II

09:30 → 10:00 coffee break

10:00 → 11:00 Invited talk: Talk II

11:00 → 12:00 Applications to NP Experiments: II

12:00 → 13:30 Lunch

13:30 → 15:00 Applications to NP Experiments: Hands On II

15:00 → 15:30 coffee break: Coffee break

15:30 → 17:00 Applications to Astrophysics: Applications to Astrophysics -- Hands On

Friday 17 January

09:00 → 10:30 Invited talk: Open talk

10:30 → 12:00 Open sesión: Open discussion

12:00 → 13:00 Lunch