deep-south: test runs, early results and request for time...
TRANSCRIPT
DEEP-South: Test runs, early results
and request for time allocation
Hong-Kyu Moon and DEEP-South collaborationKorea Astronomy and Space Science Institute
© Young-Beom Jeon
CollaboratorsM-J Kim, H-S Yim, Y-J Choi, Y. Bae, D-G Roh,
J. Park and B. Moon
J-L Yu, J. Hahm, J-W Park, H-Y Cho, S-M Lee,
S-H Kim, K-M Jeong and S-C Shin
J. D. Lee, S. Lee, Y. Ryu, Y. G. Park, J. H. Kim,
H. J. Jin, M. S. Jeong and J. Song
M-J Kim et al. DEEP-South: Preliminary Photometric Results from KMTNet-CTIO
H-S Yim et al.DEEP-South: Scheduling and Data Reduction Software Subsystem
Group posters
Demand for survey & physical
characterization of NEOs
NEO Discovery data (MPC, June 1 2015)
Database of Physical and Dynamical Properties of NEOs,
(DLR, June 1 2015)
Period: off-season for exoplanet search
Filters: mostly, Johnson-Cousins BVRI
Targeted photometry: 45 full nights/telescope/yr for 5 yrs (2015-2019)
Survey: in search for Atens and IEOs during dawn and dusk; ecliptic plane patrol
Data mining: KMTNet bulge- and SNe- archives: SUPERTRAMP (SoUthern hemisPhERe TRAckelt Mining Project)
DEEP-South at a glance
We investigate bulk properties of small bodies and
the pop as a whole with visual broadband photometry
Goals
We defined 10,536 TFs in equatorial coordinates and named wrt. ecliptic coordinates
The size of each TF (4 sq. deg.) is the same as the FOV of 18k x 18k CCD
The advantages:
1) Systematic debias of MBA for pop studies
2) Conveniences in operations and data reduction
3) Monitoring of long-term variability of comp. *s
Target fields
Observation modes
OC: Opposition CensusNW: NEOWISE follow-upSP: SPHEREx follow-up
S1: Sweet spot surveyS2: Ecliptic survey
TO: Target of Opportunity
S2: Survey 2
S1: Survey 1
TO
* Ecliptic coordinates; survey/census areas not drawn to scale
OC/NW/SP
Strategy
• LC: little is known for obj with P≥ 8-10 h;
* benefit from non-aliased data on longer timescales
* orb/rot periods, spin states; shapes & satellites
OC : densely-sampled LC
S1 : sparsely-sampled long-duration LC
• Color variations: inhomogeneity on surface or any evidence for collisions in the recent past
• Albedo & colors:
NW: NEOWISE photometric follow-up
S2: population studies of MBAs
• Challenges of incorporating people:
- They make different decisions at different times
- Different people make different decisions given
the same inputs
- People need to eat, sleep, socialize & get paid
• Don’t require people to do things that machines
can do better (vice versa)
• An ideal system fuses intelligence & adaptability,
with the computational power of machines
Roles of machine
DSS management and analysis GUI
Network File
System NFS
LusterParallel
FileSystem
OpenStack cloud management platform
Virtual machine VM provisioning: Nova VM image mgnt.: Glance
Security group control Virtual network mgnt.: Neutron
DEEP-South Scheduling System DSSData Reduction Control & Management
DRCMRaw data
VM VM VM VM VM VM VM VM VM
Moving Object Detection Program MODPAsteroid Spin Analysis Package ASAP
VM VM VM VM VM VM VM VM VM
HTCondor pool
DEEP-Southvirtual cluster:
6 + 256 + 16 cores
Workflow managementDAGMan
DRCM-DAGMan RESTful Web InterfacesWorkflow submit, suspend, resume, monitor, cancel and other jobs
observation data
MODP/ASAP Analysis request and result
MODP/ASAP Tools optimizationMODP/ASAP Tools parallelizationMODP/ASAP Workflow template
ScienceCloud
Scheduler & pipeline: Yim+
Test runs: autumn season 2015 (Feb 12-May 28)
@KMTNet-CTIO; resumed on July 21 @ three
KMTNet sites* MPC provides us with monthly ephemerides of 13k NEOs
Results:
we obtained preliminary lightcurves of…~10/40 PHAs (due to unfixed WCS problems) including 3 NHATS* objects,observed 3 Cometsand surveyed 7 S2 fields
*NHATS: Near-Earth Object Human Space Flight Accessible Target Study
DEEP-South test runs
Test runs: target PHAs
Observed Not observed
2001KY66 1990UQ 1978CA 2000PN9 1951RA
1999SL5 1999GK4 1998SS49 2001BO61 1989QF
2000OH 2008OB9 1999XA143 2001CV26 2003RB
2007CA19 2006SV19 2001SN289 2004QD14 2003YK118
2004BB103 1998ML14 1990MU 2005JF21 2003YT1
1999JM8 2005JE46 2005NZ6 2006SU131 2008JV19
2004GA1 2004QY2 1959LM 2011QD48 2013NK4
1979VA 2007RQ17 2011UW158 2015DE198
1994AW1 2002CE 1989JA 2011SV71
1994CC 2002TD60 1996SK 2012CL19
CTIO
SSO
SAAO
0-1 h
1-3 h
3-50 h
ObservedNot observed
During the 2nd test run period (July 21 – September 9)
Test runs: statistics
Time allocation: once every 2 nights; to alternate with SNe search
Semi-automated runs: obs. scripts (Observation Command File, OCF) & TAT w/local times
Other issues:
1) WCS
2) MEF with “chips”
3) Standard * observations @ 3 KMTNet sites
4) SDSS filters
Requests
V, t -> G(x, y), P (LC)V, t -> λ, β, 3D shapecolor, t -> surface inhomo-
geneity
P, λ, β, t -> YORPLC, t -> surface activity,
satellites & multiplicityorbit & PA/NPA rotation
x, y, t -> orbitorbit, t -> Yarkovsky
effect, orbital resonance, capture & tidal stripping
Observables to aBig picture
Observables Physicalparameters
Timevariations
Evolution
V-> H-> color
x, yt
V -> production ratesH -> D, pv
color -> taxonomy
D, pv, taxonomy (pIR) -> m, ρ
orbit, color -> family & population
orbit, D (m, color,taxonomy), t -> evolution &
migration
* Multi-band photometry data