Upcoming and Previous Seminars (Past months or Previous years)

Note that if the talk's pdf or ppt is available after the talk, you can get it by clicking on the talk title.

Physics/Astronomy C290C Cosmology and Cosmology-BCCP Seminar
The Physics/Astronomy C290C series consists of the Cosmology-BCCP LBNL-Physics-Astronomy Cosmology seminars held Tuesdays 1:10-2:00 pm in room 131 Campbell Hall. Because this room is hard to keep clean, please don't bring your lunch (this is a change).
Please contact Joanne Cohn to add to this list or to suggest speakers.

Speaker/Visitor Info is here.





BOSS and Nyx
(Image by C. Stark)

Note that there are also other talks which generally might be of interest, including:


July 2018
July 19, Thursday
4 pm (RPM)
Laura Newburgh, Yale
LBL 50-5132
“New Probes of Old Structure: Cosmology with 21cm Intensity Mapping and the Cosmic Microwave Background”
Current cosmological measurements have left us with deep questions about our Universe: What caused the expansion of the Universe at the earliest times? How did structure form? What is Dark Energy and does it evolve with time? New experiments like CHIME, HIRAX, and ACTPol are poised to address these questions through 3-dimensional maps of structure and measurements of the polarized Cosmic Microwave Background. In this talk, I will describe how we will use 21cm intensity measurements from CHIME and HIRAX to place sensitive constraints on Dark Energy between redshifts 0.8 — 2.5, a poorly probed era corresponding to when Dark Energy began to impact the expansion history of the Universe. I will also discuss how we will use data from new instruments on the ACT telescope to constrain cosmological parameters like the total neutrino mass and probe structure at late times.

Aug 2018
Aug 9, Thursday
2:00 pm (LBL special seminar)
John Walsh, Unlearn.AI, Inc.
LBL 50-5026
Machine Learning
I will give a broad overview of machine learning, defining the main areas of supervised, unsupervised, and reinforcement learning, including a brief history and a view on the current state of the field. I will discuss what aspects of machine learning are interesting to me as a physicist and data scientist, highlighting some open problems in supervised learning before delving into unsupervised learning. Physics-inspired machine learning models have the potential to make a tremendous impact on unsupervised learning, and I will present some of my recent work on a class of models known as Boltzmann machines.
Aug 28, Tuesday
1:10 pm (Cosmology/ BCCP)
Matt Lewandowski, IPhT (Saclay)
Campbell 131


Sep 2018
Sep 4, Tuesday
1:10 pm (Cosmology/ BCCP)
Joe DeRose, Stanford
Campbell 131

Sep 11, Tuesday
1:10 pm (Cosmology/ BCCP)
Yi-Kuan Chiang, JHU
Campbell 131

Sep 18, Tuesday
1:10 pm (Cosmology/ BCCP)
Johannes Lange , Yale
Campbell 131

Sep 25, Tuesday
1:10 pm (Cosmology/ BCCP)
Christiane Lorenz, Oxford
Campbell 131


October 2018
Oct 2, Tuesday
1:10 pm (Cosmology/ BCCP)
Kris Pardo, Princeton
Campbell 131

Oct 9, Tuesday
1:10 pm (Cosmology/ BCCP)
Hung-Jin Huang, CMU
Campbell 131

Oct 16, Tuesday
1:10 pm (Cosmology/ BCCP)
held
Campbell 131

Oct 23, Tuesday
1:10 pm (Cosmology/ BCCP)

Campbell 131

Oct 30, Tuesday
1:10 pm (Cosmology/ BCCP)

Campbell 131


November 2018
Nov 6, Tuesday
1:10 pm (Cosmology/ BCCP)

Campbell 131

Nov 13, Tuesday
1:10 pm (Cosmology/ BCCP)
held
Campbell 131

Nov 27, Tuesday
1:10 pm (Cosmology/ BCCP)

Campbell 131






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