HST Treasury Program HST Treasury Program GO13826 (PI M.Robberto) - - PowerPoint PPT Presentation

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HST Treasury Program HST Treasury Program GO13826 (PI M.Robberto) - - PowerPoint PPT Presentation

HST Treasury Program HST Treasury Program GO13826 (PI M.Robberto) WFC3 IR Data: Target: Orion Nebula 52 Visit Area: ~ 1/6 th of square degree Filters: F130N, F139M Robberto et al. 2019, submitted The problem: galactic


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HST Treasury Program

HST Treasury Program GO13826 (PI M.Robberto) WFC3 IR Data:

  • Target: Orion Nebula
  • 52 Visit
  • Area: ~ 1/6th of square

degree

  • Filters: F130N, F139M

Robberto et al. 2019, submitted

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The problem: galactic confusion at substellar masses

Robberto et al. 2010, AJ 139, 950

Orion Nebula Cluster Orion Nebula Cluster Milky Way Milky Way

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Kirkpatrick, J. Davy 2005

Solution: Water in absorption feature

WFC3 IR Channel:

  • F130N (red line)
  • F139M (blue line)
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CMD and cluster/background selection

The chosen color index splits the low mass and substellar members

  • f the Orion Nebula Cluster from

the Galactic background Robberto et al 2019

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CMD and cluster/background selection

Cluster sources:

  • 10.9 ≤ mag130 ≤ 22
  • 3104 MULTIPLE VISITS targets
  • 2816 isolated targets (no stars ≤ 1.5'')

Robberto et al 2019

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Building the Local PSF

  • Each dot indicates the position
  • f a point source on the detector

(2816 isolated sources in our survey)

  • Detector area is divided in 10x10

quadrants of 102x102 pixels

  • Stars

within a quadrant are grouped together for analysis

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Building the Data Frame

  • WFC3 pixel scale = 0.13''
  • 11x11 pixel postage stamp (~1.5''x1.5'')
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Building the Data Frame

  • For each star, we use all other

stars in the same quadrant to create a model PSF

  • Subtract the model PSF from the

star using KLIP algorithm (Pueyo 2016)

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Preliminary Catalog: Selection Criteria

  • residual distributon as like a Normal distribution;
  • ‘Minimum’ threshold selection to detect outliers

defined by the sigma of the post- subtraction pixel histogram;

Outlier

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Preliminary Catalog: Selection Criteria

  • 1. Presence of the detection in

both filters

  • 2. Persistance of the detection

through different KLIP modes

  • 3. Same position within 1 pixel

(taking into account telescope rotation)

more aggressive PSF subtraction

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Photometry and mass estimate

D + + e esky emag 2 2

Photometric calibration:

  • primaries PSF photometry
  • 4 pixel aperture photometry for all

primaries

  • conversion

factor (Δ) between 4- pixel/PSF photometry to the photometry

  • f the companions

Companions magnitude errors sources: Mass estimate:,

  • Comparison

between de-reddend photometry and isochrone

  • AV from DaRio et al. 2016 and Robberto

et al 2019

𝑓𝑛𝑏𝑕2 + 𝑓𝑡𝑙𝑧2 + 𝑓∆2

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Candidate companions: Final Selections

Control Sample:

  • MULTIPLE

visit sources WHITOUT any candidate detection in it, considered as SINGLE visit

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Candidate companions: Final Selections

Moving threshold Control Sample:

  • MULTIPLE

visit sources WHITOUT any candidate detection in it, considered as SINGLE visit False Positive analysis:

  • any detection is a FP
  • FP

ratio ≤ 1/10th

  • f

expected signal

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Candidate companions: Final Selections

Moving threshold Control Sample:

  • MULTIPLE

visit sources WHITOUT any candidate detection in it, considered as SINGLE visit False Positive analysis:

  • any detection is a FP
  • FP

ratio ≤ 1/10th

  • f

expected signal New Catalog:

  • new

thresholds aplied to the preliminary catalog

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Candidate Companions: Contrast Curves

Contrast curves for 50% completeness

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Candidate Companions: Examples

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Candidate Companions: Examples

ACS (Robberto et al 2013): WFC3:

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KLIP canididate detections

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KLIP + Robberto et al 2019 WIDE binaries

Blue: Robberto et al. 2019 binaries with separation ≤ 1.5'' Green: KLIP binaries with sepataion ≤ 1.5'' Binary fraction: 11.9% ± 0.8%

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Completeness Curves

Completeness (c) curves from fake-injection analysis. c ≥ 80 at projected sami major axis (SMA) ≥ 0.4 and masses:

  • MC ≥ 100 MJ for primary masses MP ≥ 75 MJ
  • MC ≥ 10 MJ for primary masses 13 MJ ≤ MP ≤ 75 MJ
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Spatial properties

Kolmogorov Smirnov test p-value > 0.1

Close binaries: separation ≤ 0.6'' Wide binaries: separation > 0.6''

Close binaries Wide binaries

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Mass distribution

Both distributions are compadible within the errors

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Mass ratio

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Mass Ratio

Symbol Primary Mass circle Mp ≥ 75 MJ diamond 13 MJ ≤ Mp < 75 MJ triangle Mp < 13 MJ

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Summary

  • We have applied the KLIP PSF subtraction algorithm to a large dataset of wide-

field HST images to uncover faint companions with separations between 0.17"- 0.78'' (70-314 AU)

  • We detect 67 companions with H2O in absorption
  • Mostly complete (c ≥ 80%) at projected sami major axis ≥ 0.4 and masses:
  • MC ≥ 100 MJ for primary masses MP ≥ 75 MJ
  • MC ≥ 10 MJ for primary masses 13 MJ ≤ MP ≤ 75 MJ
  • ONC binary fraction = 11.9% ± 0.8%;
  • Mass ratio heavy tale with a median value of ~ 0.35 [Mprimary/Mcompanion];
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Chance alignment