Institute for Nuclear and Particle Astrophysics (INPA) at LBNL

The INPA Seminar weekly talks are on Fridays, starting at 12:00 pm, unless informed otherwise. The seminar talk starts with a brief presentation of the weekly scientific news. Typically, the talks conclude by 1:00 pm. The seminars are held in the Sessler Conference Room,  located in Bldg. 50A- 5132.

The committee members are:

The seminar schedule for the Institute for Nuclear and Particle Astrophysics (INPA) is tentative and becomes final a few days before the Friday talk.

Please send all suggestions for future INPA talks and speakers to the INPA Committee.

To be added to the INPA News Mailing List, please contact Erica Hall.

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Speaker: Carolina Cuesta-Lazaro (Harvard) Title: Big Data Cosmology Meets AI

May 3 @ 12:00 pm - 1:00 pm


Date: Friday, May 3, 2024

Time: 12:00 PM – 1:00 PM

Location: Sessler Conference Room–50A-5132 [Hybrid and In-Person]

Speaker: Carolina Cuesta-Lazaro (Harvard)

Title: Big Data cosmology meets AI

Abstract: The upcoming era of cosmological surveys promises an unprecedented wealth of observational data that will transform our understanding of the universe. Surveys such as DESI, Euclid, and the Vera C. Rubin Observatory will provide extremely detailed maps of billions of galaxies out to high redshifts. Analyzing these massive datasets poses exciting challenges that machine learning is uniquely poised to help overcome. In this talk, I will highlight recent examples from my work on probabilistic machine learning for cosmology. First, I will explain how a point cloud diffusion model can be used both as a generative model for 3D maps of galaxy clustering and as a likelihood model for such datasets. Moreover, I will present a generative model developed to reconstruct the dark matter cosmic web from biased galaxy clustering observations, in a probabilistic manner. And finally, I will introduce ongoing work on developing fast, differentiable, and accurate hybrid physics-ML simulators for N-body and hydrodynamical simulations. When combined with the wealth of data from upcoming surveys, these machine learning techniques have the potential to provide new insights into fundamental questions about the nature of the universe.

Join Zoom

Meeting ID: 950 1669 6011

Passcode: 247722


May 3
12:00 pm - 1:00 pm

INPA guests from campus can now come to the lab early on Fridays. The INPA Common Room (50-5026) is reserved for our guests from 10:00 a.m. to 12:00 noon and from 1 p.m. to 5 p.m. Note that the seminars are now held in 50A-5132 to accommodate a more significant number of attendees.

CPTea Series (also known as INPA Tea Series)

The Physics Division CPTea Series invites you to an In-Person Tea Series 1st Friday of every month at 3:30 pm INPA Conference Room 50-5026.

Everyone is welcome to attend the open forum. Tea and light refreshments will be served.


INPA Common Room (50-5026)
3:30 pm

Access to the Lab

For a shuttle pass, please email Erica Hall. The pass is only valid for the day of the seminar.

Erica Hall