2019_SB_Gaia_Sprint_pitch_slides.pdf

Transcript

1. 2019 SB Gaia Sprint
   pitch slides
   KITP — 2019 March 25
   

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2. plan to do:
   1. Infer true spatial (on sky) density structure of GD-1
   2. Improve phase-space models of known stellar streams (e.g., GD-1, Pal 5)
   3. Confirm / re-discover some other “known” streams
   want to learn:
   How to construct a very specific selection function in the GD-1 footprint
   will bring:
   Expertise in Python/Astropy; Gaia data access and use; galactic dynamics
   and practical tools; stellar streams; Bayesian inference
   want to discuss:
   Stellar populations of globular clusters vs. ultra-faint dwarf galaxies;
   dynamical inference / dark matter; star / globular clusters
   Adrian Price-Whelan (Princeton)
   

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3. Want to do:
   - use mixture models in parallax+PM+colour space for membership selection
   - search for extended structures around star clusters
   - build dynamical models of star clusters using Gaia+other data(?)
   Want to learn:
   - how to find and access other sources of astronomical data besides Gaia
   Can share:
   - how to cope with systematics in Gaia astrometry
   - galaxy modelling framework Agama: potentials, actions, dynamical models...
   Eugene Vasiliev (Institute of Astronomy, Cambridge)
   

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4. Alice Quillen
   University of Rochester, Rochester NY
   What I want to do:
   ○ Look for kinematic patterns associated with recent
   star formation.
   ○ Improve models for the stellar phase space
   distribution function that are sensitive to
   relaxation and resonance
   What I want to learn:
   ○ How to create and work with nice databases of
   stars
   What I bring:
   ○ Multidisciplinary approach to dynamics modeling,
   dynamics theory and particle based numerical
   simulation. Javascript, python, rebound
   What I want to discuss:
   ○ How to create a better 3D and time dependent
   model Milky Way
   ○ Classification projects for future large data sets
   

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5. What I want to do:
   1. Classify variable objects without time series: how far can we go?
   2. Any δ Scuti or SX Phoenicis fans to validate the Gaia DR2 candidates?
   3. How to best exploit the public time series of unpublished variability classes?
   What I want to learn: complementary data sets; streams; local dark matter density
   What I bring:
   1. Gaia DR2 variable stars + Classification of high-amplitude pulsators
   2. How to access, crossmatch, and get started with the Gaia DR2 data
   3. (Semi-)supervised classification and all what is needed to make it work
   What I would like to discuss: variability phenomena; unsupervised classification; quasars; gravity
   Lorenzo Rimoldini (University of Geneva, CH)
   

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6. Zhen Yuan (Shanghai Astronomical Observatory)
   plan to do:
   ●
   Finding tails of existing GCs
   ●
   Dynamical Evolution of GCs in the MW
   What I bring::
   A new clustering method StarGO based on self-organizing-map
   (unsupervised neural network learning)
   Applications: Substructures, Star Clusters, Any Clustering Projects
   Example:
   Member Identification
   For NGC 5824
   want to learn:
   ●
   Statistical tools (e.g. non-parametric way
   to decompose multiple Gaussians)
   ●
   A variety of ways to download Gaia data
   ●
   Mock MW from Latte Simulations
   want to discuss:
   ●
   Archeological Fossils: Dwarfs & GCs
   ●
   What can we learn from abundances?
   

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7. Giuliano Iorio
   ● Look for halo structures in phase-space using RRLs
   ● RRLs around GCs, RRLs in known streams
   RRLs in Pal-5 stream
   (Institute of Astronomy, Cambridge) RRLs around M5
   4 Rt
   Want to do:
   Want to learn:
   Ask me about / What I bring:
   Want to discuss:
   ● Methods to estimate the phase-space density
   ● Clustering methods / Associate stars to known GC/Sats/streams
   ● MW stellar halo
   ● RRLs in Gaia
   (I bring catalogs of all RRLs classified in Gaia DR2 with additional information)
   ● (non cosmological) N-body simulations
   (I bring catalogs of an LMC-like destroyed in the MW, credit D. Erkal)
   ● Gaia selection function / completeness
   ● How to find shells in the MW halo
   ● Can we improve distance estimate for
   RRLs?
   

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8. Timothy Brandt
   UCSB
   ● Want to do: calibrate uncertainties for the medium/faint end
   of Gaia astrometry: Tycho, WFPC2? ACS?
   ● Want to learn: how else can we understand Gaia
   uncertainties and systematics?
   ● What I bring: Cross-calibration of Gaia DR2 to Hipparcos
   (HGCA), fitting orbits with the HGCA, RV, imaging
   ● Want to discuss: how can we get the best handle on
   spatially correlated systematics, external uncertainties?
   P~100-400 years
   

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9. Paolo Tanga - Observatoire de la Côte d’Azur
   What I want to do:
   a. Exploit ~200 million asteroid positions reduced with pre-Gaia
   catalogs
   b. Optimize my brand new approach to correct zonal errors for
   those catalogs
   c. Study the results and start writing an article!
   What I want to learn: write better ADQL queries, launch python
   parallel threads, and all that you can share about systematics in ancient
   catalogs.
   What I bring: Solar System data expertise. Zonal error corrections for
   ~3000 asteroids, ~20 catalogues. Independent cross-match approach.
   What I would like to discuss: Spatially correlated errors.
   Clustering algorithms for multi-dimensional data. Good beers.
   

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10. Larry Widrow Queen’s University
    Want to do: Apply methods such as Gaussian process regression to Gaia
    data to build models for the phase space DF.
    Want to learn: Better methods for GPR including application of sparse GP
    to problems in 3-6 dimensions and with observational errors.
    What I bring: Preliminary success modelling 3D velocity field via GPR.
    Familiarity with GPy. Have also worked on building equilibrium disk models
    and embedding them in cosmological halos.
    What I want to discuss: Theoretical underpinning of phase space structure
    in stellar DF and other methods to analyse both data and simulations.
    

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12. Alexa Villaume (University of California Santa Cruz)
    What I want to do:
    What you can ask me about:
    SQL databases
    Stellar population
    synthesis models
    ● Cross-match E-IRTF
    library with Gaia
    ● Normalize spectra
    to Gaia photometry
    ● Infer luminosity for
    each E-IRTF star in
    manner similar to
    Hawkins et al. 2017
    What I want to learn:
    How to choose informative
    priors when using the
    parallax measurements
    Use Gaia to turn the E-IRTF
    stellar spectra library into new
    SPS models
    E-IRTF
    

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14. Kathryn V Johnston (Columbia University/CCA)
    DO
    dynamics-driven data analysis of PS-spiral
    LEARN
    prior work and best data for this
    python tips and toolkits
    BRING
    direct experience in prehistoric times
    DISCUSS
    anything and everything
    Images from Aaron Tran (Columbia)
    

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15. Andy Casey (Monash)
    What I want to do >> use eclipsing binaries to translate excess astrometric noise
    to tangential motion, and estimate inclination angles for non-eclipsing binaries
    What I want to learn >> is the distribution of inclination angles isotropic?
    What I bring >> Zen. My time (for your Sprint problems). Experience in data
    analysis, some knowledge about stars
    What I’d like to discuss >> astrometry >> (other things….) >> thoughts about next
    Gaia data release
    

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16. What I want to do: apply our method for modeling a 3D dust map to real data, profile the python code to
    minimize compute time, sprint with Juna
    What I want to learn: data viz with yt (3d rendering and sim reconstruction), limits of GP method with
    real data, more intuition for how approximate GP methods work
    What I’d like to chat about: interpreting structures in a 3D dust map, including velocity in the dust map,
    non-parametric representations of galactic potentials, inference of the MW halo shape/accretion history
    from stellar streams, structures in the CMD, modeling and interpreting the phase space distribution
    function of stars
    What I bring: GP 101 description, data-driven models, curiosity and optimism
    Lauren Anderson (Flatiron Institute)
    

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17. Sarah Pearson
    Credit: Eilers & Hogg
    Gaia/APOGEE
    v_r vs v_phi correlation
    What I want to do:
    Re-compute Eilers’ plot for galactic bars formed through two
    different scenarios:
    1) In-situ (E. D’Onghia’s simulations)
    2) Sagittarius impact (C. Laporte simulations)
    What I hope to learn:
    How long is the Milky Way’s Galactic bar?
    How did it form? (optimistic question)
    Which orbits support the bar? (using APOGEE/Gaia 6D info)
    What can we learn about the bar from APOGEE metallicities?
    You can ask me about:
    - Galactic dynamics/the Galactic bar
    - Orbit integration
    - Using Price-Whelan’s Gala package
    I’d like to chat about:
    - APOGEE selection function
    - The Galactic bar in general
    Flatiron Institute,
    Center for Computational Astrophysics
    

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19. Luis Quiroga-Nuñez (Leiden Observatory/JIVE)
    ❖ Cross-matches at different λ
    ❖ Variability for evolved stars.
    ❖ Galactic structures
    characterization (arms & bar)
    What I want to do What I want to learn
    What I bring What I like to discuss
    ❖ Radio astrometry at 1μas
    resolution.
    ❖ Experience generating
    simulated astrometric data.
    ❖ Radio data that complements Gaia results in the GP
    ❖ How variability can be obtained from Gaia ?
    ❖ How extinction maps are used
    over Gaia data?
    ❖ Generate MLE to test the Gaia
    limits
    ❖ Members of stellar association
    ❖ Synergies between astro-
    metric campaigns at different λ
    ❖ Stellar population across the GP
    ❖ Future missions in IR?...plausible?
    

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21. Jason Hunt (Dunlap Institute - Toronto)
    What I want to do: Explore the non-axisymmetric &
    disequilibria structure in the Gaia data
    What I want to learn: How to differentiate between
    signatures of bars/spirals/external perturbers
    What I bring: Dynamical Galaxy modelling methods /
    knowledge; N-body, Test particle, Action-Angle (and
    models themselves), with various bars+spirals
    What I’d like to discuss: Reconciling long/short bar
    evidence, I don’t mind who’s right, I’d just like to know!
    

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22. to do
    ★ understand origin (and lack thereof!) of alpha/Fe bimodality in
    Latte simulations, connection with stellar kinematics (and ages),
    test this formation scenario with Gaia++
    ★ convince you to use our (really Robyn’s) Ananake synthetic Gaia
    DR2 catalogs from our Latte simulations
    to learn
    ★ how better to compare kinematics, abundances, and ages from
    Gaia + APOGEE + ??? against simulations
    bringing/sharing
    ★ Ananake synthetic Gaia DR2 catalogs and full snapshots of Latte
    simulations (i.e. I am happy to point you in Robyn’s direction)
    ★ sarcasm
    to discuss
    ★ joint analysis of abundances + kinematics + ages
    Andrew Wetzel (UC Davis)
    

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23. Christophe Pichon IAP/Paris
    Interests
    ● Galactic/DM dynamics
    ● Secular evolution/kinetic theory
    ● Impact of LSS on galaxies
    Would like to learn more about
    ● GAIA’s constrain on DHs
    ● Who wins, when, where in driving galaxies’ fate?
    What I bring
    ● Understanding(?) of LSS + secular. dynamics
    Do discuss
    ● What can be done with GAIA streams/ridges?
    Happy to work with anybody interested...
    What I want to do
    ● Modify kinetic theory for streams
    ● Map ridges in Gaia coordinates
    ● Convince people quasi-linear theory rocks
    

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24. Patrick LaChance
    What I want to do:
    ● Disentangle the qualities of the kinematic background in the solar
    neighborhood from the nearby clusters
    University of Wisconsin-Madison;
    4th year undergraduate student working with Elena D’Onghia
    What I bring:
    ● I bring a clustering algorithm (SNN) that can group stars together
    based on a variety of attributes (position, velocity, chemistry, etc.)
    that was developed in our group.
    ● I bring some data structures and analysis experience from my CS
    background.
    What I want to learn:
    ● I want to learn about the kinematic features of our solar
    neighborhood, and spiral galaxies in general.
    ● I would like to learn the ages and metallicities of the clusters in the
    solar neighborhood to differentiate them from the background
    

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25. Alexandra Borukhovetskaya University of Wisconsin - Madison
    undergraduate student working with Elena D’Onghia
    What I want to do:
    I am interested in understanding the Arcturus moving
    group - its members and origin. I am hoping to be able to
    rebuild the group so that I may argue for either in situ or
    extragalactic formation.
    What I want to learn:
    Ages and metallicities of known Arcturus members as
    well as other clustering techniques.
    What I bring:
    Clustering algorithm (SNN) developed in our group, previously used for kinematic and chemical
    clustering for globular clusters and now modified for clustering in Gaia data - proper motion, ra,
    dec, and parallaxes.
    

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26. Elena D’Onghia (University of Wisconsin-Madison/Flatiron Institute)
    I will work on understanding the formation of
    moving Pleaides, Coma Berenice (with Patrick
    LaChance) and on Arcturus moving group
    (with Alexandra Borukhovetskaya)
    I want to learn about ages and metallicities of
    moving groups and the open clusters
    I bring dynamical models with N-body
    simulations and experience on galactic
    dynamics
    

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27. Juna Kollmeier (Carnegie Observatories)
    What I want to do: I would like to produce useful “Gaia Gold Catalogs” for
    quasars, single stars and white dwarfs. Or something cooler with Anderson.
    Maybe some BHBs?
    What I want to learn: The pitfalls of producing such catalogs; particularly how to
    best cut the Gaia data
    What I bring: broad interests and expertise
    What I want to discuss: I will want to discuss anything
    

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28. Hamish Silverwood
    ICC, University of Barcelona
    Do:
    -Gaussian Process Regression on binned velocity and tracer
    density data →
    -Apply to Jeans Equations to derive force maps and/or
    disequilibria maps (Δ-Jeans method from Sprint 2018), working
    with Lauren Anderson & Larry Widrow.
    Learn:
    Anything GP related. Selection functions.
    Bring:
    Broad Dark Matter knowledge (indirect, direct detection etc).
    Expertise in Jeans Modelling. Oscar - brute force tool for
    binning Gaia data incorporating full uncertainties.
    Discuss:
    Dark matter. GPs. Future measurements of stellar accelerations
    with high precision spectrographs & nano-arcsecond
    astrometry (1812.07581).
    V
    R
    V
    R
    V
    R
    V
    Z
    V
    Z
    V
    Z
    

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29. Harshil Kamdar
    Harvard
    Plan to do: can angles between very wide co-moving
    pairs in data (>2 pc) tell us about whether stars are
    born together?
    Want to learn about: hierarchical star formation.
    Can help with: the lifecycle of star clusters born in the
    disk, clustering algorithms.
    Would like to discuss: the ISM! And what we can learn
    about clustered star formation from Gaia.
    A simulation of all stars born in star clusters in the Milky Way disk
    in the last 5 Gyr that includes a realistic potential (bar + spiral +
    GMCs) and a subgrid model for cluster birth and evolution
    

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30. Cecilia Mateu (UdelaR, Uruguay)
    What I bring:
    ●
    RR Lyrae stuff + Gaia RR Lyrae completeness maps, PyMGC3,
    Galstreams library - compilation of MW stream footprints
    What I want to do:
    ●
    Calibrate MG
    for RR Lyrae stars as a
    function of period-shift (location on
    Period-Amplitude diagram)
    OoII RRLs
    are brighter
    than OoI:
    ~0.25mag
    = 10% in
    Distance
    What I want to learn:
    ●
    Statistical tools to deal with error
    systematics & correlations
    What I want to discuss:
    ●
    New analytical models for the disc’s density profile to
    replace double exp+flare+warp
    

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31. Anthony Brown (Leiden Observatory)
    What I want to do
    ● Build a “Gaia for beginners” catalogue, intended for use
    in, e.g., astronomy education (thanks Juna for suggesting
    this!)
    ● Gaia DR2 sub-sample cleaned from the nasty bits,
    documentation, warnings on limitations
    What I want to learn
    ● Can the “phase spiral” really be explained as due to
    moving groups (arXiv:1903.08325)?
    What I bring
    ● Gaia expertise: all aspects of the data, quality filtering, archive access, ...
    What I want to discuss
    ● Your thoughts on future Gaia data releases
    ● How to preserve sufficient likelihood information in long term Gaia archive
    ● Gaia selection function: your inputs on a good proposal to fund this effort
    ● Uncertainties/systematics: how will these affect cross-calibration of other/future surveys against Gaia?
    

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32. Christina Eilers (Max Planck Institute for Astronomy)
    you can ask me about: distances to APOGEE
    red giant stars, Gaussian processes, the
    Milky Way’s circular velocity.
    sprint idea: find, map & model non-axisymmetric
    features of the Milky Way.
    I hope to learn about: Galactic bar, spiral arms,
    how to install galpy & calculate actions.
    

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33. Hans-Walter Rix Max Planck Institute for Astronomy, Heidelberg
    you should ask me about: SDSS-V
    the perfect spectroscopic match to Gaia...
    seeking collaboration on Gaia (DR2) as a time-domain survey:
    DR2 provides rms variations in flux, astrometric wobble, and v
    los
    (non-)variable WD candidates/contaminants
    rms fractional flux variation in G
    and their light-centroid wobble
    

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34. to do
    - Identify chemo-dynamical substructure in the stellar halo using clustering algorithms
    - Estimate the shape of dark matter halo using hyper-velocity stars
    - Use orbits of runaway stars to identify their natal star clusters
    to learn
    - Clustering algorithms
    - Density distribution of young stars (<10Myr) in simulations.
    - Chemistry/age of known young massive clusters (e.g., Westerlund 1).
    - Basics on photometric metallicity
    - Why sometimes, two mathematically equivalent ADQL queries take very different times.
    - (E.g., “Select ra from AAA where (ra < 10)” and “Select ra from AAA where (ra - 0.5 < 9.5)”)
    - Any tips for reducing the ADQL query times.
    - Does anyone use astroquery? Is there any ways to run ADQL queries other than Gaia archive?
    to bring
    - Knowledge on hyper-velocity stars / runaway stars
    - Practical use of AGAMA code
    to discuss
    - Gaia Sausage / Disc substructure (e.g., Hercules stream)
    - Any bold ideas using Gaia data
    Kohei Hattori (University of Michigan)
    

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35. Siddharth Mishra-Sharma (NYU)
    What I want to do:
    ● Understand collective effect of Galactic dark matter substructure on
    stellar velocity/acceleration fields (dynamical + lensing-induced)
    ● Look for this pattern in Gaia DR2
    What I want to learn:
    ● Working with Gaia data!
    ● Estimators and techniques to look for structure in 3D vector fields,
    accounting for uncertainties (e.g., extensions of 2-point correlations)
    What I bring:
    ● Background in astrophysical signatures + particle physics properties
    of dark matter
    ● Experience in writing fast Python code
    What I’d like to discuss:
    ● Particle physics implications of DM substructure (population)
    measurements
    Substructure lens-induced...
    … velocity field
    … acceleration field
    

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36. Jackie Faherty, American Museum of Natural History
    Do: Figure out what the end of the main sequence in Gaia looks
    like and find new objects (young especially!)
    Learn: About hypervelocity stars in vtan space
    Bring: The end of the main sequence and science visualization
    Discuss: Visualizing our data!
    

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37. Sihao Cheng Johns Hopkins University What I want to do >> white dwarf H-R diagram
    ● Explain the Q branch
    ● WD-WD merger rate
    What I want to learn >>
    optimal quality cuts; selection function; dust
    within 250 pc
    What I bring >>
    ● white dwarf knowledge:
    cooling, merger, spectra, ...
    ● experience in DR2 light-curves (effect of
    extended sources)
    ● scanning directions of Gaia
    What I’d like to discuss >>
    ● Gaia selection function
    ● Gaia-Panstarrs cross-matching
    ● bifurcation of Sagittarius Stream
    ● spiral arms in stellar mass / gas
    ...
    

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38. May Gade Pedersen (KU Leuven, Belgium)
    Plan to do:
    ★ Determine luminosities of pulsating stars
    ★ Search for stellar clusters w. EMSTOs and fit
    isochrone clouds
    Johnston+2019
    Victoria Antoci
    Want to learn
    ★ Application of Gaia astrometry and photometry
    to stellar clusters
    ★ Cluster membership verification
    Ask me about
    ★ Asteroseismology/seismic modelling
    of pulsating (massive) stars
    ★ Internal mixing and impact on stellar
    evolution and surface abundances
    Isochrone
    Cloud
    

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39. Heidi Newberg (Rensselaer Polytechnic Institute)
    plan to do:
    Explore the shell structure in Virgo and related halo substructure
    want to learn:
    Is the shell structure in Virgo the same as the
    Gaia-Enceladus/Gaia-sausage merger and how old is
    that structure?
    bringing:
    Expertise in structure of the Milky Way halo and disk.
    want to discuss:
    How do we fit N-body simulations to Milky Way shell
    structure?
    

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40. David W. Hogg
    (NYU) (MPIA) (Flatiron)
    What I want to do >> Map non-axisymmetries in the disk with red-giant stars.
    >> Dynamically model the GD-1 spur.
    What I want to learn >> How to classify stellar variables using Gaia noise
    information.
    What I bring >> Expertise in computational data analysis, linear algebra, Bayesian
    inference, model building, MCMC. >> Knowledge about SDSS, BOSS, APOGEE,
    HARPS, Kepler, and Gaia.
    What I’d like to discuss >> Hierarchical models. >> The Gaia likelihood function.
    >> Mapping the dark matter. >> Chemodynamics. >> Binary stars.
    

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41. Jason Sanders
    (Institute of Astronomy, Cambridge)
    What I want to do - 3d bulge (chemo-)
    dynamics with Gaia RVS M giants.
    Photometric metallicities → distances.
    What I want to learn - kinematic differences
    between metal-rich & metal-poor
    populations across bulge.
    What I bring - knowledge on ages/distances
    from Gaia+spectro, action-angles, streams,
    bar/bulge.
    What I want to discuss - 3d extinction
    mapping, photometric metallicity/ages, RVS
    selection fn, bar’s impact on SN kinematics.
    Li et al. 2016
    Metallicity
    WISE colour
    

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42. Borja Anguiano - University of Virginia
    What I want to do: Characterize the kinematic signature of the
    Galactic stellar warp using APOGEE and Gaia data-sets.
    What I want to learn: I noticed that recent works are pointing out
    new ways of using Gaia flags. I would be interested to have a
    discussion with Gaia experts about it.
    What I bring: Knowledge and experience working with APOGEE,
    GALAH and RAVE data, this can be useful for this meeting.
    What I want to discuss: Stellar multiplicity using different RV visits
    in RAVE.
    

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43. Sukanya Chakrabarti
    (RIT)
    Plan to do:
    ● How do MW satellites
    affect the gas &
    stellar disk ?
    Including new
    satellites discovered
    by Gaia
    Expertise:
    ● SPH & test particle
    simulations, galactic
    dynamics, variable stars
    Want to discuss: happy
    to discuss anything!
    Levine, Blitz & Heiles 06
    Chakrabarti & Blitz 09
    

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44. Josh Simon (Carnegie Observatories)
    What I want to do: Photometrically select
    metal-poor stars by combining broadband colors
    from Gaia and other all-sky surveys
    What I want to learn about: Efficiently
    cross-matching large catalogs, spectroscopic
    surveys covering bright (V<14) stars
    What I bring: Knowledge of dwarf galaxies and
    stellar streams (in Gaia and elsewhere).
    Beginner’s ability to model orbits with galpy.
    Other things I want to talk about and/or work
    on: Dwarf galaxies, stellar streams
    1962 version:
    Wallerstein (1962)
    2019 version?
    

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45. Ellianna Schwab Abrahams (UC Berkeley, CTDI)
    Plan To:
    ★ Search for anomalous RV measurements using ensemble learning
    ★ Predict RV measurements for stars without measurements
    ★ Also very interested in the DR2 Time-Series Catalog and variable star classification
    Hope to Learn:
    ★ Systematics in the Gaia RV Catalog ★ Edge detection and clustering methods
    Bringing/Ask me About:
    ★ ADQL Queries ★ Database Crossmatching ★ Representation ML ★ Time Series
    Featurization
    Want to Discuss:
    ★ Gaia in the time domain, in DR2 and future DRs ★ Detecting variability using static data
    

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46. What I want to do this week
    ● Dynamics of M31 HII regions using biased Gaia astrometry
    ● Star cluster properties accounting for small field correlations
    Morgan Fouesneau Max-Planck Institute
    for Astronomy
    What I would like to learn this week
    ● Estimating Gaia’s small field of view correlations
    ● Feedback on Gaia mock and GDR2.
    ● Crossmatching catalogs including SED information
    I Can help with
    ● Gaia data, crossmatch & data query helpdesk
    ● Gaia Mock / Gaia classification & APs
    ● GDR3 BP/RP spectra
    fouesneau@mpia.de @mfouesneau
    mfouesneau.github.io
    

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47. LV in gas
    [sim]
    Interested in:
    ● Large scale [G/g]alactic structure. Impact of
    spirals/bars/companions on ISM/SF processes.
    Aim to do:
    ● Look at galactic scale velocity fields, how they
    compare to sims. with different
    asymmetries/underpinning physics.
    Specific knowledge of:
    ● Hydro+N-body simulations of galaxies, ISM
    physics.
    Would be keen to know more about:
    ● Any aspect of the obs. data really
    (not touched it before!), phase spirals,
    models people are desperate in need of.
    ...What I don’t want to talk about:
    ● Brexit. Please... just let it end.
    Do ISM
    features align
    with any stellar
    pops?
    ISM in
    a spiral Makes some
    stars...
    Alex Pettitt
    ?
    

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48. Kareem El-Badry
    (UC Berkeley)
    Ideas:
    - What’s going on with wide binary
    luminosity ratios?
    - Hardening of close binaries in
    hierarchical triples
    - Test MOND with wide binaries
    Bring: binaries, white dwarfs,
    cosmological simulations, enthusiasm,
    short attention span
    Learn: how to use Gaia as a
    time-domain survey
    

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49. Plan to do: Look at known streams in Gaia - measure proper motions, map
    density, look for extensions in RR Lyrae
    Want to learn: More about Gaia systematics, RR Lyrae, reliable density mapping
    of streams
    Bringing: Experience working with DES data, cross-matched dataset, tools for
    working with streams, experience with stream detection, photometric filtering,
    proper motion measurement
    Want to discuss: Dark matter constraints with streams, differences in globular
    cluster/dwarf stream populations
    Nora Shipp (UChicago)
    

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50. Emily Cunningham (UCSC)
    What I want to do: Look for spatial variation of kinematic
    properties in the halo with RR Lyrae
    What I want to learn: Modeling Gaia systematics;
    computationally efficient Bayesian inference methods for use
    with large datasets
    What I bring: Expertise in proper motions with HST;
    spectroscopic analysis; Bayesian inference (incl. hierarchical
    and mixture modeling)
    What I’d like to discuss: Methods for combining multiple
    datasets; chemodynamics; data-model comparison tools
    

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51. David Mykytyn (New York University)
    What I want to do: *joint with Alex Malz (NYU; he is remote due
    to impending thesis defense but will Skype in when possible)
    ➔ Improve HR Diagrams for open clusters by identifying
    and correcting double stars, with the goal of creating a
    fully probabilistic model for HRD
    What I want to learn:
    ➔ A lot more about good models for HRD and also some
    stellar models that could be combined?
    ➔ Stuff about open clusters? -> What generates the HRD
    for clusters
    What I bring:
    ➔ A lot of knowledge about Gaussian Processes, especially
    for time-series analysis. Some crazy ideas about using GPs
    to speed up monte carlo, or even to get better
    information out of simulations (keywords: Multifidelity
    Monte Carlo, metamodels/emulators/simulators/etc.)
    (Want to get at what 1801.08547
    marginalized over)
    [Widmark, et. al 2018]
    (First stab
    at PGM)
    

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52. Ana Bonaca
    Center for Astrophysics
    Harvard & Smithsonian
    Do: constrain the orbit of a
    possible perturber of the GD-1
    stream based on the kinematics of
    the perturbed region
    Bring: Python3 API for C, expertise in the detection
    and modeling of structures in the stellar halo
    Discuss: dating accretion events based on their
    structure in the space of conserved orbital properties
    

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53. Jatan Buch
    (Brown U.)
    > Discuss:
    - (Passively): DF modeling in action-angle space; inferring MW dust maps with DR2 + MA, age-abundance
    relations, realistic pipeline for time-series data; zoom-in simulations;
    - (Passionately): outline of a SOTA analysis, hierarchical inference, banish closed-form likelihoods?
    > Intend to:
    - (Warmup) DR2-APOGEE/SDSS x-matched data-sets to study chemo-dynamic
    properties of velocity ‘substructure’ (h/t: Myeong+’18, TCR’18).
    - Develop criteria for qualifying stellar population in a given volume patch as
    phase-mixed (h/t: BMH’09).
    > Experience:
    - with DR2 data and selection function based on gaia_tools (Bovy’16);
    - particle physics: indirect and direct DM detection; cooling rates for dissipative DM.
    - (Audaciously): Explore disequilibria with a semi-analytic forward modeling
    approach using simulations; toy n-body code that includes DM self-interactions.
    

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54. Semyeong Oh
    Institute of Astronomy, Cambridge
    I am doing:
    kinematic modelling of a cluster
    - evidence beyond small (isotropic) dispersion?
    I want to learn about:
    ○ stellar binaries and clusters
    ○ hierarchical inference and clustering
    ○ future data
    I bring experience with:
    Gaia data access and exploration and
    making interactive visualizations
    

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55. Joel C. Zinn
    Ohio State University
    What I want to do:
    Explore TESS-K2-Gaia synergy
    What I want to learn more about:
    Binaries in Gaia
    Gaia parallax systematics
    I bring experience with:
    Parallaxes beyond ~2-3kpc with red
    giants, asteroseismology, stellar models,
    APOGEE, Kepler, K2
    

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56. Chervin F.P Laporte (University of Victoria / CITA)
    DO 1) Finish paper from last year’s Sprint. 2) Test+Map PS-spiral beyond
    10 kpc without WEAVE or 4MOST with RC and a model to generate RVs
    complementing 5D data.
    LEARN Bayesian inference methods, data driven techniques, adaptive
    smoothing/filterning methods, AGAMA.
    BRING My pre-Gaia DR2 N-body models of Sgr impacting disc (free
    data). Useful for anyone doing disc-kinematics/bar kinematics? Familiar with
    studying kinematic substructure in SN, i.e. happy to help people (e.g. Elena’s
    team on Arcturus) if I can/it’s cool with y’all.
    DISCUSS
    “Existence of moving groups is not a physical explanation for the origin of
    the PS-spiral.” Happy to discuss/philosophise with Anthony Brown (maybe do
    a project?). Analogy: If I put re-assemble KFC chicken pieces (drum, breast,
    wings) into something looking like a chicken it doesn’t mean that KFC
    explains why chickens exist.
    Pre-Gaia simulations
    Gaia DR2
    ??????????
    ??????????
    

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57. Andreea Font (Liverpool John Moores U., UK)
    What I want to do:
    Look for substructure signature in the Solar neighborhood using
    various tracer stars.
    Compare with results of cosmological simulations. Think about
    implications for dark matter detection.
    What I want to learn:
    Combining different catalogues (Gaia, RAVE, APOGEE).
    Modeling Gaia systematics.
    Knowledge of:
    hydro-dynamical simulations, chemo-dynamical models of the
    Milky Way and dwarf galaxies.
    

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58. Robyn Sanderson
    UPenn/Flatiron
    ananke.hub.yt
    Doing: evaluating basis-expansion models of the Latte halos for orbit studies, prep
    for public release of models
    Learning: how well we need to represent the MW to study its orbit structure; what
    else people want from mock observations
    Sharing: the ananke mock catalogs, dynamics expertise generally
    

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59. Philip Chang (University of Wisconsin - Milwaukee, Flatiron Institute)
    What I want to do: See what everyone is up to; extract physics from
    test particle simulations.
    What I want to learn: am currently GAIA curious - ready to take the
    next step.
    What I bring: Expertise in theoretical and computational astrophysics;
    some experience in test particle dynamics; a bit more in
    SPH/Moving-mesh/Eulerian hydro.
    What I want to discuss: Phase space mixing of stars, perturbation
    theory, etc.
    

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