Please fill out this form to register. Space is limited but we will do our best to accommodate everyone. We also plan to support remote access for collaborators who cannot attend in person. Registration Deadline: September 4th 2018
This is the second in a series of workshops attempting to answer the question: how can we utilize LSST to help us understand the microphysics of dark matter, to identify the fundamental constituents of dark matter (e.g., new fundamental particles, compact objects, etc.), and to characterize the properties of these constituents (e.g, mass, temperature, self-interaction rate, etc.)? LSST offers a unique avenue to attack the dark matter problem through "astrophysical probes". Hence, the primary goal of this workshop is build on the work of the U. Pittsburg 2018 workshop towards an LSST dark matter white paper. In this white paper, we hope to provide a comprehensive summary of the various techniques that can be used to test the fundamental nature of dark matter with LSST.
Dark Matter Graphic
We have begun to assemble graphical representations of the complex LSST dark matter parameter space. This graphic is intended to help conceptually organize the LSST dark matter program and serve as a road map for the dark matte white paper. A landing page for the dark matter graphic can be found here:
We strongly encourage the addition of new components through this submission form.
- Keith Bechtol (LSST)
- Will Dawson (LLNL)
- Alex Drlica-Wagner (FNAL)
- Yao-Yuan Mao (Pittsburgh)
- Annika Peter (OSU)
- Chanda Prescod-Weinstein (UNH)
- Risa Wechsler (Stanford)
The workshop will take place at the High Peformance Computing Innovation Center (HPCIC) on the Livermore Valley Open Campus (LVOC).
Realizing the value of the Laboratory's strategic partnerships with private industries and academic institutions, the Department of Energy authorized Lawrence Livermore and Sandia national laboratories to develop a collaboration space outside the two laboratories’ fenced perimeters. In 2011, the Livermore Valley Open Campus (LVOC) was established with the opening of the HPCIC. The primary goal of the open campus is to act as an innovation hub for unclassified research and development activities. Since its inception, the HPCIC has received over 44,000 visitors and hosted more than 4,700 events. Looking ahead, the LVOC is growing rapidly: there are plans to expand the HPCIC facilities and a new Additive Manufacturing lab is currently under construction.
Breakfast and lunch will be provided (lunch for the first two days only).
Lodging information soon.
To and From Bay Area Airports
LLNL is approximately an hour east of San Francisco (SFO), Oakland(OAK), and San Jose (SJC) airports.
- A rental car may be the most convenient option. Approximately $50/day.
- Lyft and Uber: Takes 55+ minutes, costs about $65. Both are also prevelant in Livermore.
- Taxi: Takes 55+ minutes, costs about $120.
Code of Conduct
The workshop organizers are committed to conducting a meeting that is productive and enjoyable for everyone. We will not tolerate harassment of participants in any form throughout the workshop.
By attending this workshop you agree to:
Behave professionally. Harassment, and exclusionary or offensive comments or jokes related to personal attributes are not appropriate.
Communicate appropriately. Aim for a professional audience including people of many different backgrounds. Sexual language and imagery are not acceptable.
Be kind and considerate. Do not insult or put down other meeting participants.
All participants are empowered to request that undesirable behavior be stopped. Participants asked to stop any behavior inconsistent with this code of conduct are expected to comply immediately.
If a participant engages in behavior that violates this code of conduct, the workshop organizers may take any action they deem appropriate, including warning the offender or expulsion from the workshop.
Harassment includes, but is not limited to, sustained disruption of talks or other events, unwelcome physical contact, sexual attention or innuendo, intimidation, stalking, and recording of an individual without consent.
Personal attributes include, but are not limited to, (alphabetically) age, disability, ethnicity, gender, gender expression, gender identity, lactation, nationality, physical appearance, political affiliation, pregnancy, race, religion, sexual orientation, and status as a caregiver (including as a parent).