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lsstdarkmatter's Introduction

LSST Dark Matter

This is a repository to collect information related to the study of the fundamental nature of dark matter with LSST. Our goal is to 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"; however, there is also a significant overlap with experiments performing direct and indirect searches for dark matter. It is worth emphasizing that, when compared to other cosmological probes and analyses performed within DESC, the dark matter studies here very often focus on the small structures in the dark matter hierarchical clustering, quite complementary to large scale probes for dark energy.

Projects

There are many avenues to attack the dark matter problem with LSST. Below is a brief description of some that we have started to consider:

  • Local Group Dwarf Galaxies (satsim and satellites): Local Group dwarf galaxies provide the most direct tracer of the low-mass end of the matter power spectrum and are sensitive to deviations from LCDM on the smallest scales.
  • Stellar Streams (streamsim]: Perturbations in stellar streams can be used to trace the dark matter subhalo population below the threshold for star formation.
  • Strong Lensing Substructures (stronglens): Dark matter substructure can be traced independently of baryons through perturbations in the strong lensing of galaxies at cosmological distances.
  • Axion Cooling of Stars (axions): Axions (and other axion-like particles) would provide an alternative thermal transport mechanism altering stellar physics (e.g., white dwarf lifetimes)
  • Galaxy Cluster Density Profiles (clusters): Dark matter self-interactions would alter the density profiles in galaxy clusters and could lead to observable offsets between galaxies and dark matter in colliding clusters.
  • Microlensing (macho): Searches for massive compact halo objects (MACHOs) using the microlensing of stars.
  • Nanolensing (nanolensing): Can we use gravitational lensing to detect dark matter subhaloes directly?

This is certainly not an exhaustive list, and we would be excited to add your new idea! One immediate example concerns the characterization of the Milky Way graviational potential through star orbits, especially the old Carbon-rich population in the outskirts of the Galaxy, that LSST should be able to detect.

Resources

  • White Paper (doc): We are in the process of writing a white paper to summarize the various avenues to attack the dark matter problem with LSST.
  • Living Bibliography (bib): We have started to compile a living bibliography
  • Dark Matter Hack Session: The LSST dark matter project began to take form at the LSST DESC April 2017 Hack Week. You can find more information on the results of that hack on Confluence.
  • List of Dark Matter Probes (table) One result of the hack week was a high-level list of dark matter probes with LSST.

Getting Involved

The study of dark matter with LSST is a rapidly growing field. If you are interested in joining, there are several ways to get involved:

lsstdarkmatter's People

Contributors

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lsstdarkmatter's Issues

Add the possibility of using supernovae or novae as a method for finding dwarfs

Within the SN group, @reneehlozek and I are interested is understanding how supernovae in LSST may be used for novel scientific purposes in conjunction with other groups. One of the ideas1 that have been thrown around is that SN/or even novae going off in dwarfs maybe easier to detect than the dwarfs themselves, and the indication of location of dwarfs might enable one to throw additional resources into following up a small area of the sky thereby detecting dim dwarfs at higher distances. Obviously, this is an idea which has its share of complications (rates in dwarfs, false positives, etc.) but we are trying to start up this discussion with people interested in DM to understand if this is considered useful enough to think about by them (for example we have had conversations with @kadrlica and @jeffcarlin).

It might be useful to have this possibility reflected in the table. (Added following discussion with @wadawson in community

Simulate LSST Observations of Dwarf Galaxies

We would like to use imSim to simulate images of Local Group dwarf galaxies and then run the LSSST software stack to perform source finding and photometry.

We are hoping to get this off the ground in the Wednesday mini-hack.

Content for Dark Matter Graph

We need to assemble the content for the nodes of a dark matter graph. The initial idea is that each entry would have at least these parameters:

  • Probe - The physical parameter that is sensitive to deviations from cold, collisionless dark matter (e.g., minimum halo mass, substructure abundance, dark matter density profile, etc.)
  • Target - The astrophysical object that will be measured (e.g., Milky Way satellite galaxies, cluster strong lenses, stellar light curves, etc.)
  • Measurement - The observable that LSST will contribute to (e.g., dwarf galaxy luminosity function, gaps in stellar streams, etc.)

As an initial step, we will build this content and a Google Spreadsheet. To start, columns correspond to Probe, Target, Measurement and each row will be a unique combination. There will eventually be more information associated with each entry (e.g., sensitivity, particle physics model, etc.).

For a somewhat more complete (though still known to be incomplete) table of probes, check out the table.md

Dark Matter Graph

We would like to prototype out a graphical representation of dark matter probes. After some initial discussion, it seems like this can be divided into a few aspects:

  • Derive the content in a way that minimizes the number of features (current idea is "Probe", "Measurement", "Target" framework (possibly with "Sensitivity" and "Model").
  • Figure out a way build a connected graphical representation.
  • Find a web interface to do this.

Font size in dark matter graph

Transferred from #9...

It looks like there is a static font size regardless of the content length. This means that some long entries (i.e., "Weak lensing (position-shear corr.)") over-flow their boxes.

Remove fits image permanently

The large file satsim/lsst_e_1_R_2_2_S_1_1_g.fits keeps coming back to life (just pulled and it re-appeared in my repo). We need to clean this (and get everyone to re-clone if necessary...)

Allow zoom on dark matter graph

Transferring from #9 ...

Is it possible to allow the user to dynamically change the zoom of the dark matter graph? I'm able to change this with the browsers zoom level, but it might be useful to make this part of the webapp. (Also, I expect that the content will only grow, and there may be some reason someone would want to visualize the whole network at once.)

Simulate a tidal stream

We would like to extend the infrastructure that was developed during the Wednesday mini-hack to the simulation of a stellar stream.

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