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Exploring Black Hole Demographics with Microlensing Noé Kains (STScI) with Kailash Sahu, Annalisa Calamida, Josh Sokol, Jay Anderson, Stefano Casertano, Dan Bramich, Roberto Figuera Jaimes, Armando Arellano Ferro, Jesper Skottfelt, …
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Exploring Black Hole Demographics with Microlensing Noé Kains (STScI) with Kailash Sahu, Annalisa Calamida, Josh Sokol, Jay Anderson, Stefano Casertano,

Dec 24, 2015

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Page 1: Exploring Black Hole Demographics with Microlensing Noé Kains (STScI) with Kailash Sahu, Annalisa Calamida, Josh Sokol, Jay Anderson, Stefano Casertano,

Exploring Black Hole Demographics with Microlensing

Noé Kains (STScI)

with Kailash Sahu, Annalisa Calamida, Josh Sokol, Jay Anderson, Stefano Casertano, Dan Bramich, Roberto Figuera Jaimes, Armando Arellano Ferro, Jesper Skottfelt, …

Page 2: Exploring Black Hole Demographics with Microlensing Noé Kains (STScI) with Kailash Sahu, Annalisa Calamida, Josh Sokol, Jay Anderson, Stefano Casertano,

Image credit: LSST

Page 3: Exploring Black Hole Demographics with Microlensing Noé Kains (STScI) with Kailash Sahu, Annalisa Calamida, Josh Sokol, Jay Anderson, Stefano Casertano,

Image credit: LSST (not the black blob)

Page 4: Exploring Black Hole Demographics with Microlensing Noé Kains (STScI) with Kailash Sahu, Annalisa Calamida, Josh Sokol, Jay Anderson, Stefano Casertano,

Images

Magnification A∝ images /Asource

Einstein ring radius θE

tE

Page 5: Exploring Black Hole Demographics with Microlensing Noé Kains (STScI) with Kailash Sahu, Annalisa Calamida, Josh Sokol, Jay Anderson, Stefano Casertano,

What can we do with microlensing?

• Need– Probability of microlensing taking place at a given time is ~10-6 so dense stellar

environments are better (e.g. Galactic Bulge, clusters)– Lots of observations with good time resolution (depending on science) – Decent spatial resolution

• Science– Historically: dark matter probing (e.g. MACHO/EROS collaborations)– Exoplanets, especially cool rocky exoplanets (out of reach of other methods,

e.g. Beaulieu et al. 2006, Gaudi et al. 2009, Kains et al. 2013a)– Brown dwarfs– Stellar physics: stellar atmospheres, single object mass measurements– Black hole populations

Page 6: Exploring Black Hole Demographics with Microlensing Noé Kains (STScI) with Kailash Sahu, Annalisa Calamida, Josh Sokol, Jay Anderson, Stefano Casertano,

Measuring masses of isolated objects

• One of the key observables is the event timescale tE

• tE is proportional to M1/2 ; typical tE for lens ~few M is ~80-100 days. • But the timescale is a degenerate function of source velocity, lens

mass, and lens/ source distances• Rearranging this: mass is a function of Einstein ring radius θE and

lens-source parallax πLS

• How to determine those parameters to obtain a mass measurement?

tE = θE /vang

Page 7: Exploring Black Hole Demographics with Microlensing Noé Kains (STScI) with Kailash Sahu, Annalisa Calamida, Josh Sokol, Jay Anderson, Stefano Casertano,

• In addition to magnification, microlensing produces an astrometric shift due to asymmetric images

• The amplitude of the astrometric shift scales with the lens mass

• Signature astrometric pattern as the event unfolds

• Measuring this allows us to determine θE

• Parallax is fitted from the light curve so requires good time resolution and high-precision photometry

Alcock et al. 1995

Page 8: Exploring Black Hole Demographics with Microlensing Noé Kains (STScI) with Kailash Sahu, Annalisa Calamida, Josh Sokol, Jay Anderson, Stefano Casertano,

Single stellar-mass black holes

• Since stars > 20 M end their lives as BH, there should be ~108 BH in in the MW (e.g. Sahu et al. 2012)

• Many should be isolated:• Single stars (~1/3 of those stars)• Wide binaries • Merged close binaries during supernova explosions

• No definite single BH detection so far• BH (and neutron star) mass measurements from binary

systems are a biased sample• Microlensing is a great method to address this:

• Single object detections• Mass distribution

Page 9: Exploring Black Hole Demographics with Microlensing Noé Kains (STScI) with Kailash Sahu, Annalisa Calamida, Josh Sokol, Jay Anderson, Stefano Casertano,

Stellar-mass BH lensing

• Single stellar mass black holes should lens background source stars with tE of ~80-100 days

• No blending from the lens• The astrometric shift produced by a lens of

~few M is of the order of ~few mas• This can be routinely measured from HST

observations

Page 10: Exploring Black Hole Demographics with Microlensing Noé Kains (STScI) with Kailash Sahu, Annalisa Calamida, Josh Sokol, Jay Anderson, Stefano Casertano,

2 HST projects

• ‘Detecting and measuring the masses of stellar remnants’ – PI: K. Sahu

• 4 ACS + 8 WFC3/UVIS fields, monitoring ~1.5-2 million stars in total• Each field observed every 2 weeks, 8 months/ year for 3 years• HST observations to measure astrometric shifts• Ground-based observations with VIMOS@VLT to get parallax: every 3-4

days (PI: M. Zoccali)

• Also, HST follow-up of long-duration events from ground-based microlensing survey teams (OGLE/ MOA), PI: K. Sahu

• Some promising candidates• Also lots of other science to be done with the data (e.g.

Calamida et al. 2014)

Page 11: Exploring Black Hole Demographics with Microlensing Noé Kains (STScI) with Kailash Sahu, Annalisa Calamida, Josh Sokol, Jay Anderson, Stefano Casertano,

Intermediate-mass black holes• Mass range ~102-106 M

• Seeds for SMBH formation

• Motivation for studying IMBH

• M-σ relation (Silk & Rees 1998, also Sadoun & Colin 2012 for GC)

• Extrapolate down to IMBH masses range of σ of globular clusters / dwarf galaxies Lützgendorf et al. 2013

Page 12: Exploring Black Hole Demographics with Microlensing Noé Kains (STScI) with Kailash Sahu, Annalisa Calamida, Josh Sokol, Jay Anderson, Stefano Casertano,

• Observational evidence• Ultra-luminous X-ray sources in stellar clusters (e.g. Soria et

al. 2011, Farrell et al. 2009, Maccarone et al. 2007)• Low-mass SMBH in NGC 4395 = IMBH? (Peterson et al. 2005)• Dynamics of globular clusters (e.g. Lützgendorf et al. 2013,

Feldmeier et al. 2013)

• No unambiguous detection yet• Clues on IMBH populations would shed light on BH

growth, how SMBH form, and how galaxies form• Microlensing could be a good way to probe the

existence of IMBH in GC

Page 13: Exploring Black Hole Demographics with Microlensing Noé Kains (STScI) with Kailash Sahu, Annalisa Calamida, Josh Sokol, Jay Anderson, Stefano Casertano,

LIMBO: A project to search for IMBH

• Monitoring 32 GC cores, 6 months/ year with 1 observations/ night with an EMCCD camera at the Danish 1.54m telescope in La Silla (with MiNDSTEp consortium, GC project PI: Kains)

• EMCCD enables us to obtain high-resolution images of crowded GC cores (Kains et al. 2014 submitted, Skottfelt et al. 2013)

- Many very short (~0.1s) exposures freeze turbulence ~diffraction-limited resolution

- No saturated stars- Can do various things with data cubes depending on target science- Combine with difference image analysis to obtain high-precision

photometry (no need to throw away images i.e. not Lucky Imaging)- Difficulty: understanding properties of resulting images

Page 14: Exploring Black Hole Demographics with Microlensing Noé Kains (STScI) with Kailash Sahu, Annalisa Calamida, Josh Sokol, Jay Anderson, Stefano Casertano,

HST EMCCD (DK1.54m) CCD (RoboNet 1m)

NGC4590/ M 68

Kains et al. 2014 (submitted)

Page 15: Exploring Black Hole Demographics with Microlensing Noé Kains (STScI) with Kailash Sahu, Annalisa Calamida, Josh Sokol, Jay Anderson, Stefano Casertano,

NGC 6981 (Skottfelt et al. 2013)

CCD (DK1.54m)

Page 16: Exploring Black Hole Demographics with Microlensing Noé Kains (STScI) with Kailash Sahu, Annalisa Calamida, Josh Sokol, Jay Anderson, Stefano Casertano,

NGC 6981 (Skottfelt et al. 2013)

EMCCD (DK1.54m)

Page 17: Exploring Black Hole Demographics with Microlensing Noé Kains (STScI) with Kailash Sahu, Annalisa Calamida, Josh Sokol, Jay Anderson, Stefano Casertano,

What do we search for?

• The astrometric shift produced by an IMBH could be several 10s of mas, which is easily detectable from the ground

• We get the distance to the lens for “free”, since the IMBH resides in the GC core, so the most important part is to measure θE to get a mass measurement

• Search for lensing signature in the photometry (in progress), as well as “blind” astrometric shift searches (in the future)

• Source stars both in the cluster (cluster self-lensing) and background stars (important for target selection)

Page 18: Exploring Black Hole Demographics with Microlensing Noé Kains (STScI) with Kailash Sahu, Annalisa Calamida, Josh Sokol, Jay Anderson, Stefano Casertano,

LIMBO science

• Long-baseline, high-precision time-series lots of science that can be done with data (variable stars/ asteroseismology, e.g. Kains et al. 2012, 2013b, 2014)

• Detection great!• Non-detections could allows us to place limits on presence

of IMBH in those GC (cf. cool exoplanets mass functions e.g. Cassan et al. 2012)

• Difficulties• Lensing probabilities are low, events are very long (at least a few

hundred days) long-term project• Need a good model to predict event rates to compare with our rates of

(non-)detections

Page 19: Exploring Black Hole Demographics with Microlensing Noé Kains (STScI) with Kailash Sahu, Annalisa Calamida, Josh Sokol, Jay Anderson, Stefano Casertano,

Summary

• Microlensing is a great method to measure and constrain isolated black holes masses unambiguously

• 3 projects underway: • IMBH project will take a few more years of data before

results come out, but lots of other science on the way• 2 HST projects: some promising BH candidates, watch

out for results over the next year or 2

Page 20: Exploring Black Hole Demographics with Microlensing Noé Kains (STScI) with Kailash Sahu, Annalisa Calamida, Josh Sokol, Jay Anderson, Stefano Casertano,

Lützgendorf et al. 2013