of GravitationalWave Transients Marica Branchesi Università di Urbino INFN on behalf of LIGO Scientific Collaboration and Virgo Collaboration amp Alain ID: 194471
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Slide1
Searching for Electromagnetic Counterparts
of Gravitational-Wave Transients
Marica
Branchesi
(
Università
di Urbino/INFN)on behalf of LIGO Scientific Collaboration and Virgo Collaboration&Alain Klotz (TAROT telescope) Myrtille Laas-Bourez (Zadko telescope)
DCC: G1100079Slide2
A
goal of
LIGO
and
Virgo
interferometers is the first direct detection
of gravitational waves from
ENERGETIC ASTROPHYSICAL
events:
Mergers of NeutronStars and/or BlackHoles SHORT GRB Kilonovas Core Collapse of Massive Stars Supernovae LONG GRB Cosmic String Cusps EM burst
Main
motivations
for
joint GW/EM
observations
:
Increase the GW detection confidence; Get a precise (arcsecond) localization, identify host galaxy; Provide insight into the progenitor physics; In the long term start a joint GW/EM cosmology.
1Slide3
Low-latency GW
data analysis pipelines
allow the
use
of
GW triggers in real time to obtain prompt EM observations and to search for EM counterparts
The first program of EM follow-up to
GW candidates has been performed during two LIGO/Virgo observing periods:
Dec 17 2009 to Jan 8 2010
– Winter RunSep 4 to Oct 20 2010 – Summer RunThe EM-follow-up program in S6-VSR2/3 is a milestone towards advanced detectors era where the chances of GW detections are very enhancedPresentation Highlights: Methods followed to obtain low-latency Target of Opportunity EM follow-up observations; Development of image analysis procedures able to identify the EM counterparts
.
2Slide4
GW Online Analysis
H1
L1
V1
Omega &
cWB
MBTA
for
Unmodeled Bursts for signals from Compact Binary CoalescenceGRACE DBARCHIVE LUMIN GEMfor Optical Telescopes for SwiftEvent Validation Search algorithms to identify triggers
Send
alert
to
telescope
Select
Statistically Significant Triggers Determine Pointing Locations10 min.30 min. LIGO (H1 and L1) and Virgo (V1) interferometers 3Slide5
Requirements to select a trigger as a candidate for the EM follow-up:
Triple coincidence among the three detectors
;
Power above a threshold estimated from the distribution of background events:
Target False Alarm Rate Winter Run < 1.00 event per Day
Summer Run < 0.25 event per Day for most of optical facilities
< 0.10 event per Day for PTF and SwiftGW Source Sky
Localization:
signals near threshold localized to regions of tens of square degrees possibly in several disconnected patches Necessity of wide field of view telescopesLIGO/Virgo horizon: a stellarmass BH/ NS binary inspiral detected out to 50 Mpc distance that includes thousands of galaxies GW observable sources are likely to be extragalactic Limit regions to observe to Globular Clusters and Galaxies within 50 Mpc (GWGC catalog White et al. 2011)4Slide6
Nearby galaxies and globular clusters (< 50
Mpc
) are weighted to select the most probable
host of a GW trigger:
Black crosses
nearby galaxies locations Rectangles pointing telescope fields chosen to maximize chance to detect the EM counterpart
Mass * Likelihood
P = Distance
Probability
Skymap for a simulated GW event Likelihood based on GW data Mass and Distance of the galaxy or the globular cluster5Slide7
O
bserved
on-axis
LONG and SHORT GRB
afterglows peak
few minutes
after the EM/GW prompt emission
Kilonova model afterglow peaks about a day after the GW eventTo discriminate the possible EM counterpart from contaminating transients The expected EM counterpart afterglows guide observation schedule timeMetzger et al.(2010), MNRAS, 406..265Kann et al. 2010, ApJ, 720.1513Kann et arXiv:0804.1959KILONOVASRadioactively Powered EM-transient LONG/SOFT GRBMassive star Progenitors SHORT/HARD GRB Compact Object mergers
EM observations as soon
as possible
after the GW trigger validation
EM observations a day after
the GW trigger validation
repeated observations over several nights to study the light curve6R magnitude assuming z=1R magnitude assuming z=1Time (days after burst in the observer frame)Time (days after burst in the observer frame)Time (Days)Luminosity (ergs s-1)
Metzger et al.(2010), MNRAS, 406..265Slide8
Ground-based and space EM facilities observing the sky at Optical, X-ray and Radio wavelengths involved in the follow-up program
TAROT SOUTH/NORTH
1.86° X 1.86°
FOV
Zadko 25 X 25 arcmin FOV ROTSE1.85 ° X 1.85° FOV QUEST
9.4 square degree FOV
SkyMapper5.6 square degree FOV
Pi of the Sky20° X 20° FOVPalomar Transient Factory7.8 square degree FOV
Liverpool telescope4.6 X 4.6 arcmin FOVOptical TelescopesSwift Satellite 0.4° X 0.4° FOV X-ray and UV/Optical TelescopeRadio InterferometerLOFAR10 – 250 MHz
Winter
/
Summer
Run
Only
Summer
Run7Slide9
Observations Performed with Optical Telescopes:
Winter run
8
candidate GW triggers,
4
observed by telescopes
Summer run 6 candidate GW triggers, 4 observed by telescopes Analysis Procedure for Wide Field Optical ImagesLimited Sky localization of GW interferometers Wide field
of
view
optical
images
Requires
to develop specific methods to detect the Optical Transient Counterpart of the GW trigger
8Slide10
LIGO/
Virgo
collaborations
are actually testing and
developing
several
Image
Analysis Techniques based on: Image Subtraction Methods (for Palomar Transient Factory, ROTSE and SkyMapper) Catalog Cross-Check Methods
(
for
TAROT,
Zadko
, QUEST
and Pi
of
the Sky)
9
The rest of the talk focuses on a Catalog-based Detection Pipeline under development for TAROT and Zadko:methodology
and
preliminary
results
obtained
using
images
with
simulated
transientsSlide11
Catalog-based
Detection Pipeline
for
images
taken by
TAROT and
Zadko telescopesTAROT South/North 0.25 meter telescope FOV 1.86° X 1.86° Single Field Observation of 180 s exposure Red limiting magnitude of 17.5Zadko 1 meter telescope FOV 25 X 25 arcmin Five Fields Observation of 120 s exposure Red limiting magnitude of 20.5 Afterglow Light Curves (source distance d=50 Mpc)Time (
days)
Apparent Red
magnitude
LONG GRB
SHORT GRB
KILONOVA
TAROT
limiting
magnitude
Zadko limiting magnitude“Afterglow light curves” for LONG/SHORT and Kilonova transients
at a
distance
of
50
Mpc
10Slide12
detect
sources in each
image
select
“unknown objects”(not in USNO2A)
Catalog-based
Detection Pipeline
to identify the Optical Counterparts in TAROT and Zadko images SExtractor to build catalog of all the objects visible in each imageMatch Algorithm (Valdes et al 1995; Droege et al 2006) to identify “known stars” in USNO2A (catalog of 5 billion stars down to R ≈ 19 mag)select central
part of
the image
FOV
restricted
to
region
with
radius = 0.8 deg for TAROT and 0.19 deg for Zadkoavoid problemsat image edgesMagnitude consistencyto recover possible transients that overlap with known galaxies/starsRecover from the list of “known objects”: |USNO_mag – TAROT_mag| > 4σ
Octave
Code
11Slide13
search
for
objects
in common to several
images Spatial cross-positional
check with match-radius of 10 arcsec
for TAROT and
2 arcsec for Zadkochosen on the basis of position uncertaintiesreject cosmic rays, noise, asteroids...select objects in “on-source” “On-source region” = regions occupied by Globular Clusters and Galaxies up to 50 Mpc (GWGC catalog, White et al 2011) reject backgroundevents“Light curve” analysisreject “contaminatingobjects” (galaxy, variable stars, false transients..)Possible
Optical
counterparts
…..
Catalog-based
Detection Pipeline
12Slide14
“Light curve”
analysis
- cut based on the
expected luminosity
dimming
of the EM counterparts recall magnitude
α [-2.5 log10
(Luminosity)]
expect Luminosity α [time- β] magnitude α [2.5 β log10(time)] slope index = measurement of (2.5 β) to discriminate expected light curve from “contaminating events”The expected slope index for SHORT/LONG GRB is around 2.7 and kilonova is around 3Optical counterparts the ones with slope index > 0.5
Coloured
points =
Optical
LGRB
Transients
Black
squares
= contaminating objects Contaminating objects that could pass the cut are only variable AGN or Cepheid stars Saturation effectsRed magnitudeADU countsnot saturatedsaturatedDistance in MpcInitial Red magnitudeSlope Index13Slide15
Image
characterization
-
limiting
magnitude
used a set of
10 test TAROT images
(180 sec exposure) limiting magnitude of 15.5 for all imagesImage Limiting Magnitude: point where Differential/Integral Source Counts distribution (vs magnitude) bends and moves away from the power law of the reference USNOA Differential Source Counts Integral Source Counts R magnitudeR magnitudeCounts(0.5 mag bin)/sq degreeCounts(<mag)/sq degree+xx
+
Limiting
magnitude
Limiting
magnitude
USNOA
counts
USNOA
countsTAROT image countsTAROT image counts14Slide16
Monte Carlo simulations at the Computing Center in Lyon:
Injections
of fake
transients modelled
using on-axis GRB and Kilonova afterglow light curves
Time origin (time
of GW trigger) set 1 day
before the first imageSHORT/HARD GRB Kilonova Objects LONG/SOFT GRB SGRB, LGRB intrinsic luminosity range parametrized by a magnitude offset 0 ÷ 8SGRB, LGRB: random offset 0 ÷ 8SGRB0, LGRB0: offset set to 0 SGRB8,LGRB8: offset set to 8 Preliminary results on Distance_50% horizon (Mpc):SGRB SGRB0 SGRB8 LGRB LGRB0 LGRB8 Kilonova 15 100 ------
400
2500
80
10
Simulations
using
different
sets of images and different time schedule wrt the GW trigger give similar resultsPreliminary tests on sensitivity : obtained by running the Detection Pipeline over images with injections of Fake
Transients
15
Efficiency
Efficiency
Distance
(
Mpc
)
Distance
(
Mpc
)
Distance
(
Mpc
)
Efficiency
kilonova
SGRB
SGRB0
SGRB8
LGRB
LGRB0
LGRB8Slide17
Conclusions
:
The first EM
follow-ups
to
GW candidates have
been
performed
by
the LIGO/Virgo community in association with several Partner EM Observatories“EM counterpart Detection pipelines” based on different analysis techniques are under test and development Preliminary results suggest that “Catalog-based
Detection Pipeline”
is
able
to
detect
on-axis
GRB and
Kilonova afterglows for TAROT and Zadko images Efforts are in progress to improve the
efficiency
and to
extend
the
use
to
other
telescope
images
The
analysis
of
the
images
observed
during
the
Winter
/
Summer
LIGO/
Virgo
run
is
on-going