This document summarizes a lecture on using gravitational wave waveform models to test general relativity and probe the nature of compact objects through gravitational wave observations. It discusses how waveform models can be used to bound post-Newtonian coefficients, constrain phenomenological merger-ringdown parameters, and probe the quasi-normal modes of black hole ringdowns. Measuring multiple modes could verify the no-hair theorem and black hole uniqueness properties. Future observations from LIGO and Virgo at design sensitivity may allow high-precision black hole spectroscopy and tests of general relativity in the strong, dynamical gravity regime.
MEMS-Application, Functionality, Fabrication process and limitations, MEMS as a switch, MEMS packaging and proposed mems switches for microwave circuit switch.
Mobile Communication Academic Assignment
For B.Tech Electronics and Communication Engineering 7th Semester
Index:
1. Introduction
2. Techniques
3. Schemes
4. History
5. Digital an Analog Beamforming
6. Difference between Digital and Analog Beamforming
7. Analog Beamforming Working
8. Digital Beamforming Working with receiver and transmitter
9. Digital Beamforming Challenges with receiver and transmitter
10. Solutions to the Challenges
11. For Speech Audio
Source: Wikipedia, Research Papers etc
DESIGN AND IMPLEMENTATION OF ANALOG MULTIPLIER WITH IMPROVED LINEARITY VLSICS Design
Analog multipliers are used for frequency conversion and are critical components in modern radio frequency (RF) systems. RF systems must process analog signals with a wide dynamic range at high frequencies. A mixer converts RF power at one frequency into power at another frequency to make signal processing easier and also inexpensive. A fundamental reason for frequency conversion is to allow amplification of the received signal at a frequency other than the RF, or the audio, frequency. This paper deals with two such multipliers using MOSFETs which can be used in communication systems. They were designed and implemented using 0.5 micron CMOS process. The two multipliers were characterized for power consumption, linearity, noise and harmonic distortion. The initial circuit simulated is a basic Gilbert cell whose gain is fairly high but shows more power consumption and high total harmonic distortion. Our paper aims in reducing both power consumption and total harmonic distortion. The second multiplier is a new architecture that consumes 43.07 percent less power and shows 22.69 percent less total harmonic distortion when compared to the basic Gilbert cell. The common centroid layouts of both the circuits have also been developed.
MEMS-Application, Functionality, Fabrication process and limitations, MEMS as a switch, MEMS packaging and proposed mems switches for microwave circuit switch.
Mobile Communication Academic Assignment
For B.Tech Electronics and Communication Engineering 7th Semester
Index:
1. Introduction
2. Techniques
3. Schemes
4. History
5. Digital an Analog Beamforming
6. Difference between Digital and Analog Beamforming
7. Analog Beamforming Working
8. Digital Beamforming Working with receiver and transmitter
9. Digital Beamforming Challenges with receiver and transmitter
10. Solutions to the Challenges
11. For Speech Audio
Source: Wikipedia, Research Papers etc
DESIGN AND IMPLEMENTATION OF ANALOG MULTIPLIER WITH IMPROVED LINEARITY VLSICS Design
Analog multipliers are used for frequency conversion and are critical components in modern radio frequency (RF) systems. RF systems must process analog signals with a wide dynamic range at high frequencies. A mixer converts RF power at one frequency into power at another frequency to make signal processing easier and also inexpensive. A fundamental reason for frequency conversion is to allow amplification of the received signal at a frequency other than the RF, or the audio, frequency. This paper deals with two such multipliers using MOSFETs which can be used in communication systems. They were designed and implemented using 0.5 micron CMOS process. The two multipliers were characterized for power consumption, linearity, noise and harmonic distortion. The initial circuit simulated is a basic Gilbert cell whose gain is fairly high but shows more power consumption and high total harmonic distortion. Our paper aims in reducing both power consumption and total harmonic distortion. The second multiplier is a new architecture that consumes 43.07 percent less power and shows 22.69 percent less total harmonic distortion when compared to the basic Gilbert cell. The common centroid layouts of both the circuits have also been developed.
The evolution of machine learning and IoT have made it possible for manufacturers to build more effective applications for predictive maintenance than ever before. Despite the huge potential that machine learning offers for predictive maintenance, it's challenging to build solutions that can handle the speed of IoT data streams and the massively large datasets required to train models that can forecast rare events like mechanical failures. Solving these challenges requires knowledge about state-of-the-art dataware, such as MapR, and cluster computing frameworks, such as Spark, which give developers foundational APIs for consuming and transforming data into feature tables useful for machine learning.
Smart antenna ppt
Type of Smart Antenna.
Function of Smart Antenna.
Application of Smart Antenna.
Advantages of Smart Antenna.
Disadvantages of Smart Antenna.
Application of Smart Antenna.
Future Scope of Smart Antenna
A Review of Energy Conservation
in Wireless Sensor Networks:
1.What are WSNs
2.Applications of WSNs
3.Advantages of using WSNs
4.Design Issues of WSNs
5.Power consumption in WSN
6.Sources of energy waste
7.General approaches to energy saving
8.Conclusion
The Phase Field Method: Mesoscale Simulation Aiding Materials DiscoveryPFHub PFHub
Two types of computational materials science, model development and materials discovery. PF is used less than atomic scale methods. PF focused on model development not discovery. How to use PF for materials discovery?
Towards the Internet of Relevant Things: the IEEE 802.15.4e Standard -- Invited Tutorial, ACM Symposium on Applied Computing (SAC 2016), Pisa, Italy, April 4-8, 2016
Overview 5G Architecture Options from Deutsche TelekomEiko Seidel
At 3GPP RAN#72 5G Architecture discussion took place. This document lists all options that are under discussion.
Source: RP-161266 at RAN#72 Deutsche Telekom
Setting off the 5G Advanced evolution with 3GPP Release 18Qualcomm Research
In December 2021, 3GPP has reached a consensus on the scope of 5G NR Release 18. This is a significant milestone marking the beginning of 5G Advanced — the second wave of wireless innovations that will fulfill the 5G vision. Release 18 will build on the solid foundation set by Releases 15, 16, and 17, and it sets the longer-term evolution direction of 5G and beyond. This release will encompass a wide range of new and enhancement projects, ranging from improved MIMO and application of AI/ML-enabled air interface to extended reality optimizations and broader IoT support.
CR : smart radio that has the ability to sense the external environment, learn from the history and make intelligent decisions to adjust its transmission parameters according
to the current state of the environment.
The evolution of machine learning and IoT have made it possible for manufacturers to build more effective applications for predictive maintenance than ever before. Despite the huge potential that machine learning offers for predictive maintenance, it's challenging to build solutions that can handle the speed of IoT data streams and the massively large datasets required to train models that can forecast rare events like mechanical failures. Solving these challenges requires knowledge about state-of-the-art dataware, such as MapR, and cluster computing frameworks, such as Spark, which give developers foundational APIs for consuming and transforming data into feature tables useful for machine learning.
Smart antenna ppt
Type of Smart Antenna.
Function of Smart Antenna.
Application of Smart Antenna.
Advantages of Smart Antenna.
Disadvantages of Smart Antenna.
Application of Smart Antenna.
Future Scope of Smart Antenna
A Review of Energy Conservation
in Wireless Sensor Networks:
1.What are WSNs
2.Applications of WSNs
3.Advantages of using WSNs
4.Design Issues of WSNs
5.Power consumption in WSN
6.Sources of energy waste
7.General approaches to energy saving
8.Conclusion
The Phase Field Method: Mesoscale Simulation Aiding Materials DiscoveryPFHub PFHub
Two types of computational materials science, model development and materials discovery. PF is used less than atomic scale methods. PF focused on model development not discovery. How to use PF for materials discovery?
Towards the Internet of Relevant Things: the IEEE 802.15.4e Standard -- Invited Tutorial, ACM Symposium on Applied Computing (SAC 2016), Pisa, Italy, April 4-8, 2016
Overview 5G Architecture Options from Deutsche TelekomEiko Seidel
At 3GPP RAN#72 5G Architecture discussion took place. This document lists all options that are under discussion.
Source: RP-161266 at RAN#72 Deutsche Telekom
Setting off the 5G Advanced evolution with 3GPP Release 18Qualcomm Research
In December 2021, 3GPP has reached a consensus on the scope of 5G NR Release 18. This is a significant milestone marking the beginning of 5G Advanced — the second wave of wireless innovations that will fulfill the 5G vision. Release 18 will build on the solid foundation set by Releases 15, 16, and 17, and it sets the longer-term evolution direction of 5G and beyond. This release will encompass a wide range of new and enhancement projects, ranging from improved MIMO and application of AI/ML-enabled air interface to extended reality optimizations and broader IoT support.
CR : smart radio that has the ability to sense the external environment, learn from the history and make intelligent decisions to adjust its transmission parameters according
to the current state of the environment.
Airborne and underground matter-wave interferometers: geodesy, navigation and...Philippe Bouyer
The remarkable success of atom coherent manipulation techniques has motivated competitive research and development in precision metrology. Matter-wave inertial sensors – accelerometers, gyrometers, gravimeters – based on these techniques are all at the forefront of their respective measurement classes. Atom inertial sensors provide nowadays about the best accelerometers and gravimeters and allow, for instance, to make the most precise monitoring of gravity or to device precise tests of the weak equivalence principle (WEP). I present here some recent advances in these fields
P-Wave Onset Point Detection for Seismic Signal Using Bhattacharyya DistanceCSCJournals
In seismology Primary p-wave arrival identification is a fundamental problem for the geologist worldwide. Several numbers of algorithms that deal with p-wave onset detection and identification have already been proposed. Accurate p- wave picking is required for earthquake early warning system and determination of epicenter location etc. In this paper we have proposed a novel algorithm for p-wave detection using Bhattacharyya distance for seismic signals. In our study we have taken 50 numbers of real seismic signals (generated by earthquake) recorded by K-NET (Kyoshin network), Japan. Our results show maximum standard deviation of 1.76 sample from true picks which gives better accuracy with respect to ratio test method.
Introduction:
RNA interference (RNAi) or Post-Transcriptional Gene Silencing (PTGS) is an important biological process for modulating eukaryotic gene expression.
It is highly conserved process of posttranscriptional gene silencing by which double stranded RNA (dsRNA) causes sequence-specific degradation of mRNA sequences.
dsRNA-induced gene silencing (RNAi) is reported in a wide range of eukaryotes ranging from worms, insects, mammals and plants.
This process mediates resistance to both endogenous parasitic and exogenous pathogenic nucleic acids, and regulates the expression of protein-coding genes.
What are small ncRNAs?
micro RNA (miRNA)
short interfering RNA (siRNA)
Properties of small non-coding RNA:
Involved in silencing mRNA transcripts.
Called “small” because they are usually only about 21-24 nucleotides long.
Synthesized by first cutting up longer precursor sequences (like the 61nt one that Lee discovered).
Silence an mRNA by base pairing with some sequence on the mRNA.
Discovery of siRNA?
The first small RNA:
In 1993 Rosalind Lee (Victor Ambros lab) was studying a non- coding gene in C. elegans, lin-4, that was involved in silencing of another gene, lin-14, at the appropriate time in the
development of the worm C. elegans.
Two small transcripts of lin-4 (22nt and 61nt) were found to be complementary to a sequence in the 3' UTR of lin-14.
Because lin-4 encoded no protein, she deduced that it must be these transcripts that are causing the silencing by RNA-RNA interactions.
Types of RNAi ( non coding RNA)
MiRNA
Length (23-25 nt)
Trans acting
Binds with target MRNA in mismatch
Translation inhibition
Si RNA
Length 21 nt.
Cis acting
Bind with target Mrna in perfect complementary sequence
Piwi-RNA
Length ; 25 to 36 nt.
Expressed in Germ Cells
Regulates trnasposomes activity
MECHANISM OF RNAI:
First the double-stranded RNA teams up with a protein complex named Dicer, which cuts the long RNA into short pieces.
Then another protein complex called RISC (RNA-induced silencing complex) discards one of the two RNA strands.
The RISC-docked, single-stranded RNA then pairs with the homologous mRNA and destroys it.
THE RISC COMPLEX:
RISC is large(>500kD) RNA multi- protein Binding complex which triggers MRNA degradation in response to MRNA
Unwinding of double stranded Si RNA by ATP independent Helicase
Active component of RISC is Ago proteins( ENDONUCLEASE) which cleave target MRNA.
DICER: endonuclease (RNase Family III)
Argonaute: Central Component of the RNA-Induced Silencing Complex (RISC)
One strand of the dsRNA produced by Dicer is retained in the RISC complex in association with Argonaute
ARGONAUTE PROTEIN :
1.PAZ(PIWI/Argonaute/ Zwille)- Recognition of target MRNA
2.PIWI (p-element induced wimpy Testis)- breaks Phosphodiester bond of mRNA.)RNAse H activity.
MiRNA:
The Double-stranded RNAs are naturally produced in eukaryotic cells during development, and they have a key role in regulating gene expression .
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
Seminar of U.V. Spectroscopy by SAMIR PANDASAMIR PANDA
Spectroscopy is a branch of science dealing the study of interaction of electromagnetic radiation with matter.
Ultraviolet-visible spectroscopy refers to absorption spectroscopy or reflect spectroscopy in the UV-VIS spectral region.
Ultraviolet-visible spectroscopy is an analytical method that can measure the amount of light received by the analyte.
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...Scintica Instrumentation
Intravital microscopy (IVM) is a powerful tool utilized to study cellular behavior over time and space in vivo. Much of our understanding of cell biology has been accomplished using various in vitro and ex vivo methods; however, these studies do not necessarily reflect the natural dynamics of biological processes. Unlike traditional cell culture or fixed tissue imaging, IVM allows for the ultra-fast high-resolution imaging of cellular processes over time and space and were studied in its natural environment. Real-time visualization of biological processes in the context of an intact organism helps maintain physiological relevance and provide insights into the progression of disease, response to treatments or developmental processes.
In this webinar we give an overview of advanced applications of the IVM system in preclinical research. IVIM technology is a provider of all-in-one intravital microscopy systems and solutions optimized for in vivo imaging of live animal models at sub-micron resolution. The system’s unique features and user-friendly software enables researchers to probe fast dynamic biological processes such as immune cell tracking, cell-cell interaction as well as vascularization and tumor metastasis with exceptional detail. This webinar will also give an overview of IVM being utilized in drug development, offering a view into the intricate interaction between drugs/nanoparticles and tissues in vivo and allows for the evaluation of therapeutic intervention in a variety of tissues and organs. This interdisciplinary collaboration continues to drive the advancements of novel therapeutic strategies.
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.Sérgio Sacani
The return of a sample of near-surface atmosphere from Mars would facilitate answers to several first-order science questions surrounding the formation and evolution of the planet. One of the important aspects of terrestrial planet formation in general is the role that primary atmospheres played in influencing the chemistry and structure of the planets and their antecedents. Studies of the martian atmosphere can be used to investigate the role of a primary atmosphere in its history. Atmosphere samples would also inform our understanding of the near-surface chemistry of the planet, and ultimately the prospects for life. High-precision isotopic analyses of constituent gases are needed to address these questions, requiring that the analyses are made on returned samples rather than in situ.
The Analytical/Numerical Relativity Interface behind Gravitational Waves: Lecture III - Alessandra Buonanno
1. Alessandra Buonanno
Max Planck Institute for Gravitational Physics
(Albert Einstein Institute)
Department of Physics, University of Maryland
“Waves on the Lake: The Astrophysics behind Gravitational Waves”
Lake Como School of Gravitational Waves, May 28 - June 1, 2018
The Analytical/Numerical Relativity Interface
behind Gravitational Waves: Lecture III
2. Outline
•Lecture I: Motivations and actual development of inspiral, merger
and ringdown waveforms
•Lecture II: Using waveform models to infer astrophysics and
cosmology with gravitational-wave observations
•Lecture III: Using waveform models to probe dynamical gravity and
extreme matter with gravitational-wave observations
(visualization credit: Benger @ Airborne Hydro
Mapping Software & Haas @AEI)
(NR simulation: Ossokine, AB & SXS @AEI)
3. • UMD/AEI graduate course on GW Physics & Astrophysics taught
in Winter-Spring 2017: http://www.aei.mpg.de/2000472.
References:
• AB’s Les Houches School Proceedings: arXiv:0709.4682.
• E.E. Flanagan & S.A. Hughes’ review: arXiv:0501041.
• M. Maggiore’s books: “Gravitational WavesVolume 1:Theory and
Experiments” (2007) & “Gravitational WavesVolume II: Astrophysics
and Cosmology” (2018).
• E. Poisson & C. Will’s book:“Gravity” (2015).
• AB & B. Sathyaprakash’s review: arXiv:1410.7832.
4. •Given current tight constraints
on GR (e.g., Solar system, binary
pulsars), can any GR deviation be
observed with GW detectors?
highly-dynamical
strong-field
10 5 10 4 10 3 10 2 10 1 10010 8
10 7
10 6
10 5
10 4
10 3
10 2
10 1
100
Solar
System
Binary
Pulsars
Gravitational
Waves
v/c
Newton
(credit: Sennett)
Solar system:
Binary pulsars:
LIGO/Virgo:
Extreme gravity, dynamical spacetime: tests of General Relativity
5. PN templates in stationary phase approximation: TaylorF2
i =
Si
m2
i
1PN 1.5PN
2PN
spin-orbit
1.5PN
spin-spin
2PN
0PN
graviton with
non zero mass
1PN
dipole
radiation
-1PN
6. Waveforms encode plethora of physical effects
BH absorptiontail effects
merger
ringdown
•Binary black hole
Spin effects
inspiral
(credit: Hinderer)
•Compact-object binary with matter or in modified theory to GR?
quasi-normal modes
echoes?
(credit: Hinderer)
mergerinspiral
7. •GW150914/GW122615’s rapidly varying orbital periods allow us to bound
higher-order PN coefficients in gravitational phase.
0PN 0.5PN 1PN 1.5PN 2PN 2.5PN 3PN 3.5PN
PN order
10 1
100
101
|ˆ'|
GW150914
GW151226
GW151226+GW150914
(Arun et al. 06 , Mishra et al. 10, Yunes &
Pretorius 09, Li et al. 12)
•PN parameters describe: tails of
radiation due to backscattering,
spin-orbit and spin-spin couplings.
(Abbott et al. PRX6 (2016))
•PN parameters take different values
in modified theories to GR.
'(f) ='ref + 2⇡ftref + 'Newt(Mf) 5/3
+ '0.5PN(Mf) 4/3
+ '1PN(Mf) 3/3
+ '1.5PN(Mf) 2/3
+ · · ·
˜h(f) = A(f)ei'(f)
90% upper bounds
Bounding PN parameters: inspiral
8. •GW150914/GW122615’s rapidly varying orbital periods allow us to bound
higher-order PN coefficients in gravitational phase.
First tests of General Relativity in dynamical, strong field
0PN 0.5PN 1PN 1.5PN 2PN 2.5PN 3PN 3.5PN
PN order
10 1
100
101
|ˆ'|
GW150914
GW151226
GW151226+GW150914
(Arun et al. 06 , Mishra et al. 10, Yunes &
Pretorius 09, Li et al. 12)
•PN parameters describe: tails of
radiation due to backscattering,
spin-orbit and spin-spin couplings.
(Abbott et al. PRX6 (2016))
•PN parameters take different values
in modified theories to GR.
'(f) ='ref + 2⇡ftref + ˜'Newtv 5
⇥
1 + ˜'0.5PN v + ˜'1PN v2
+ ˜'1.5PN v3
+ · · ·
⇤
˜h(f) = A(f)ei'(f)
v = (2Mf)1/3
90% upper bounds
10. 20 50 100 150 200 250 300
Frequency (Hz)
1.00
0.10
0.01
|hGW(f)|/1022(Hz)
inspiral intermediate
merger
ringdown
low frequency high frequency
• Merger-ringdown phenomenological parameters
(βi and αi) not yet expressed in terms of relevant
parameters in GR and modified theories of GR.
Bounding phenom parameters: intermediate/merger-RD
(Abbott et al. PRL 116 (2016) 221101 )
GW150914 + GW151226 + GW170104
(Abbott et al. PRL 118 (2017) 221101)
11. How to test GR and probe nature of compact objects:
building deviations from GR & BHs/NSs
• Will GR deviations be fully captured in perturbative-like descriptions
during merger-ringdown stage? Likely not. (e.g., Yunes & Pretorius 09, Li et al. 12,
Endlich et al. 17)
• Need NRAR waveforms of binaries composed of exotic objects (BH &
NS mimickers), such as boson stars, gravastar, etc. (e.g., Palenzuela et al. 17)
•Need NRAR waveforms in modified theories of GR: scalar-tensor theories,
Einstein-Aether theory, dynamical Chern-Simons, Einstein-dilaton Gauss-
Bonnet theory, massive gravity theories, etc. (e.g., Stein et al. 17, Cayuso et al.17,
Hirschmann et al. 17)
• Do current GR waveform models include all physical effects? Not yet.
• Including deviations from GR in EOB formalism.
(Julie & Deruelle 17, Julie 17, Khalil et al. in prep 18)
12. Q`mn = !`mn ⌧`mn/2
(Berti,Cardoso&Will06)
zero overtone
Kerr BH
zero overtone
Kerr BH
Probing nature of remnant through quasi-normal modes
•One frequency and damping time (or quality factor) of ringdown signal cannot
determine values of (l,m,n) corresponding to mode detected, because there are
several values of parameters (M, j, l, m, n) that yield same frequencies and
damping times.
•Multipole frequencies and decay times will be smoking gun that Nature’s black
holes are black holes of GR. We can test no-hair conjecture and second-law black-
hole mechanics. (Israel 69, Carter 71; Hawking 71, Bardeen 73)
•Note that those conjectures refer to isolated, stationary black holes, not to
dynamical back holes (in a binary, merging).
13. Black-hole spectroscopy using damped sinusoids
•BH spectroscopy: measuring multipole QNMs.
(Dreyer et al. 2004, Berti et al. 2006, Gossan et al. 2012, Meidam et al. 2014, Bhagwat et al. 2017,
Yang et al. 2017, Brito,AB, Raymond 18, Carullo et al. 18)
(Gossan et al. 2012)
!`mn = !GR
`mn (1 + !`mn)
⌧`mn = ⌧GR
`mn (1 + ⌧`mn)
non-GR mock signalGR mock signal
•Plausible assumptions: likely we detect zero
overtone & .
90% CL
` = 2, 3
(using Einstein Telescope or third-generation ground-based detectors)
(Gossan et al. 2012)
14. Probing remnant of GW150914 through quasi-normal modes
(Abbott et al. PRL 116 (2016) 221101 )
• Bayesian analysis with damped-sinusoid
template to extract frequency and
decay time, starting at different times
after merger.
200 220 240 260 280 300
QNM frequency (Hz)
0
2
4
6
8
10
12
14
QNMdecaytime(ms)
1.0ms
3.0 ms
5.0 ms
7.0 ms7.0
m
s
IMR (l = 2,m = 2,n = 0)
• Starting from 5 msec after merger,
posterior distributions of frequencies
and decay times from damped
sinusoid and IMR waveform are
consistent.
•First (low-accuracy) verification of
black hole uniqueness properties (?)
SNRtot ' 23 SNRRD ' 7
15. (Abbott et al. PRL 116 (2016) 221101 )
• Bayesian analysis with damped-sinusoid
template to extract frequency and
decay time, starting at different times
after merger.
•IMR (l = 2, m=2) posterior obtained
from full Bayesian analysis of
GW150914, plus information from
NR to obtain final mass and spin from
component masses and spins.
SNRtot ' 23 SNRRD ' 7
•First (low-accuracy) verification of
black hole uniqueness properties (?)
Probing remnant of GW150914 through quasi-normal modes
(Abbott et al. PRL 116 (2016) 241102 )
16. Black-hole spectroscopy by making full use of GW modeling
•We build parametrized inspiral-
merger-ringdown waveforms
(pEOBNR):
- QNM’s frequencies and decay
times are free parameters;
- (2,2), (2,1), (3,3), (4,4) & (5,5)
modes are present.
mass ratio = 6(Brito, AB & Raymond 18)
•Merger-ringdown EOBNR model
reproduces time & phase shifts
between NR modes’ at peak.
200 220 240 260 280 300
f220
(Hz)
0
1
2
3
4
5
6
7
8
9
10
τ220
(ms)
GW150914
pEOBNR
3ms
5ms
1m
s
•GW150914’s frequency and decay
time recovered “without ambiguity”
on a priori unknown starting time of
QNM ringing.
dashed curves NR
cont. curves EOBNR
(Pan,ABetal.12)
17. Trying to extract 2 quasi-normal modes from GW150914 event
(Brito, AB & Raymond 18)
•(2,2) mode resolved,
but not (3,3) mode.
GW150914
•Posterior distributions of
frequency and decay times
of two QNMs employing
pEOBNR against data.
18. 0 10 20 30 40 50 60 70 80 90 100
Number of events
0.1
1
10
errorat2σ(%)
δf220
δf330
δτ220
•We can bound quasi-normal mode frequencies & decay times by combining
several BH observations.
one event GW150914-like
with LIGO & Virgo @ design
sensitivity
(Brito,AB & Raymond 18)
•Let us assume we had GW observations and did not find deviations from GR.
GW150914-like events with LIGO
& Virgo @ design sensitivity
•About 30 GW150914-like events
are needed to achieve errors of 5%.
We will soon verify more accurately
black hole uniqueness properties.
!`mn = !GR
`mn (1 + !`mn) ⌧`mn = ⌧GR
`mn (1 + ⌧`mn)
Measuring at least 2 QNMs with LIGO & Virgo
errors scale/ 1/
p
N
19. Testing no-hair conjecture with several events @ design sensitivity
(O1 run) (@ LIGO/Virgo design sensitivity)
(Brito, AB & Raymond 18)
using pEOBNR
(@ LIGO/Virgo design sensitivity)
20. (Cardosoetal.16)
same
ringdown
signal
different QNM signals
t
(Damour & Solodukhin 07, Cardoso, Franzin & Pani 16)
• If remnant is horizonless, and/or
horizon is replaced by “surface”, new
modes in the spectrum, and ringdown
signal is modified: echoes signals
emitted after merger.
Remnant: black hole or exotic compact object (ECO)?
horizonless objects
black hole
(Cardoso et al. 16)
wormhole
boson stars, fermion stars, etc.
(e.g., Giudice et al. 16)
21. GW polarizations in gravity
•Generic metric theories of gravity have 6 geometrically distinct
polarizations:
tensor vector scalar
6 polarization tensors6 amplitudes
(Will 72)
hij(x) =
X
A
hA(x) eA
ij A = 1, · · · , 6
GR
22. Detector antenna patterns for different GW polarizations
detector tensor
Photodetector
Beam
Splitter
Power
Recycling
Laser
Source
100 kW Circulating Power
b)
a)
Signal
Recycling
Test
Mass
Test
Mass
Test
Mass
Test
Mass
Lx = 4 km
20 W
H1
L1
10 ms light
travel time
Ly=4km
depends on
GW source
depends only on
geometry,
• Angular responses of a
differential-arm detector
differential-arm
detector
FA
|FA|
hI(t, xI) = Dij
I hij(t, xI)
=
X
A
hA(t, xI) (Dij
I eA
ij)
Dij
=
1
2
(di
x dj
x di
y dj
y)
23. Testing extra GW polarizations with two LIGOs & Virgo
detector tensor
depends on
GW source
depends only on
geometry, FA
•Two LIGOs are nearly co-aligned, approximately sensitive to the
same linear combination of polarizations.
•Five (differential-arm) detectors would allow to extract all
the 5 polarizations (2 scalar polarization are degenerate).
•Observation of GW170814 with two LIGOs plus Virgo allowed to test
pure tensor polarizations against pure scalar (vector), finding Bayes
factors 1000 (200). (Abbott et al. PRL 119 (2017) 141101)
examples of antenna patterns:
tensor
scalar
hI(t, xI) = Dij
I hij(t, xI)
=
X
A
hA(t, xI) (Dij
I eA
ij)
24. Tests of Lorentz Invariance/Bounding Graviton Mass
(Will 94, Mirshekari,Yunes & Will 12)
vg
c
= 1 + (↵ 1)
A
2
E↵ 2
E2
= p2
c2
+ Ap↵
c↵
↵ 0
mg 7.7 ⇥ 10 23
eV/c2
↵ = 0, A > 0
(Abbott et al. PRL118 (2017))
•Phenomenological approach: modified dispersion relation. GWs travel at
speed different from speed of light.
25. Constraints on speed of GWs & test of equivalence principle
(Abbott et al. APJ 848 (2017) L12)
• Strong constraints on scalar-tensor and vector-tensor theories of gravity.
• Combining GW and GRB observations:
(Creminelli et al. 17, Ezquiaga et al. 17, Sakstein et al. 17, Baker et al. 17)
c
c
' c
t
D
t = tEM tGW
c = cGW c
4 ⇥ 10 15
c
c
7 ⇥ 10 16
assuming GRB is
emitted 10 s after
GW signal
assuming observed
time delay is entirely
due to different speed
t ' 1.7s
•EM waves & GWs follow same geodesic. Metric perturbations (e.g., due to
potential between source and Earth) affect their propagation in same way.
gravitational
potential of Milky
Way outside
sphere of 100 kpc
(Abbott et al. APJ 848 (2017) L12)(Shapiro 1964)
26. •GR is non-linear theory.
Complexity similar to QCD.
- approximately, but analytically
(fast way)
- exactly, but numerically on
supercomputers (slow way)
•Einstein’s field equations can
be solved:
•Synergy between analytical and numerical relativity is crucial.
•GW170817: SNR=32 (strong),
3000 cycles (from 30 Hz), one
minute.
last 0.07sec
modeled by NRlast minutes
modeled by AR
(Abbott et al. PRL 119 (2017) 161101)
Solving two-body problem in General Relativity (including radiation)
27. Numerical-relativity simulation of GW170817
(visualization: Dietrich, Ossokine, Pfeiffer & Buonanno @ AEI)
(numerical simulation: Dietrich @ AEI and BAM collaboration)
Minerva:
High-Performance Computer Cluster
@ AEI Potsdam (~10,000 cores)
28. mergerinspiral
post-merger
•PN waveform model was used for:
- template bank: to observe GW170817
- Bayesian analyses: to infer astrophysical,
fundamental physics information of
GW170817
Analytical waveform modeling for GW170817
(DalCanton&Harry16)
50,000 PN
templates
tail effects tidal effectsspin effects
29. Probing equation of state of neutron stars
(Antoniadisetal.2016)
tidal interactions (credit: Hinderer)
Neutron Star:
- mass: 1-3 Msun
- radius: 9-15 km
- core density > 1014g/cm3
• NS equation of state (EOS) affects
gravitational waveform during
late inspiral, merger and post-
merger.
30. 10 50 100 500 1000 5000
10 25
10 24
10 23
10 22
10 21
f Hz
BH BH
Initial LIGO
AdvancedLIGO
Einstein Telescope
10 50 100 500 1000 5000
10 25
10 24
10 23
10 22
10 21
f Hz
NS NS EOS HB
Initial LIGO
AdvancedLIGO
Einstein Telescope
NS-NS
post
merger
effectively point-particle tidal effects
BH-BH
Probing equation of state of neutron stars
(credit:Read)
• measures star’s quadrupole
deformation in response to
companion perturbing tidal field:
•Tidal effects imprinted on
gravitational waveform during
inspiral through parameter .
Qij = Eij
31. NS deformation in external tidal field
⇢(t, x0
) = ⇢(r0
) + ⇢(t, x0
)
1
|x x0|
=
1
r
+
x · x0
r3
+
(3 ni nj ij)
2r3
x0
i x0
j + . . . ni =
xi
r
•Gravitational potential generated by perturbed NS
•In presence of external potential, (non-rotating) NS acquires a deformation:
self-gravitating fluid is perturbed from equilibrium configuration
•Quadrupolar tidal field:
equilibrium configuration
perturbations
•Multipole expansion around CM:
r > r0
outside NS
Qij =
Z
d3
x0
⇢(t, x0
) (x0
i x0
j
1
3
r02
ij)
Newtonian tidal
deformationsEij = @i@jUext
U(t, x) = G
Z
d3
x0 ⇢(t, x0
)
|x x0|
U(t, x) =
G mNS
r
G(3ni nj ij)
2r3
Qij + . . .
32. NS deformation in external tidal field (contd.)
•Total gravitational potential outside NS:
•Considering quasi-static perturbations (tidal force frequency much smaller
than NS’s eigenfrequency of normal mode of oscillation, i.e., f modes):
Qij = Eij k2 =
3
2
G
R5
NS
U(t, x) =
GmNS
r
+
1
2
Eij xi xj
"
1 + 2k2
✓
RNS
r
◆5
#
+ O
✓
1
r4
◆
+ O(x3
)
g00 = 1
2GmNS
r
+ Eij xi xj
"
1 + 2k2
✓
RNS
r
◆5
#
+ O
✓
1
r4
◆
+ O(x3
)
U(t, x) =
GmNS
r
3G
2r3
ni nj Qij + O
✓
1
r4
◆
+
1
2
xi xj Eij + O(x3
)
33. PN templates in stationary phase approximation: TaylorF2
i =
Si
m2
i
1PN 1.5PN
2PN
spin-orbit
1.5PN
0PN
graviton with
non zero mass
1PN
dipole
radiation
-1PN
· · ·
39
2
⌫ 2 ˜⇤ (⇡Mf)10/3
spin-spin
2PN
tidal
5PN
⇤ =
m5
NS
=
2
3
k2
✓
RNSc2
GmNS
◆5
it can be
large
Depends on EOS
& compactness
34. Probing equation of state of neutron stars
•Where in frequency the information about (intrinsic) binary parameters
predominantly comes from.
(Harry & Hinderer 17, see also Damour et al . 12)
•Tidal effects typically change overall number of GW cycles from 30 Hz
(about 3000) by one single cycle!
35. (Dietrich & Hinderer 17) time
State-of-art waveform models for binary neutron stars
•Synergy between analytical and numerical work is crucial.
(Damour 1983, Flanagan & Hinderer 08, Binnington & Poisson 09, Vines et al. 11, Damour & Nagar 09,
12, Bernuzzi et al. 15, Hinderer et al. 16, Steinhoff et al. 16, Dietrich et al. 17, Dietrich et al. 18)
NR
EOBNR
36. Strong-field effects in presence of matter in EOB theory
(Hindereretal.2016,Steinhoffetal.2016,
seealsoBernuzzietal.15)
Tides make gravitational interaction more attractive
1 2 3 4 5 6 7
r/M
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
A(r)
EOBNR
TEOBNR
Schwarzschild
ν
EOBNR
Schwarzschild
Schwarzschild
λ
light ring
light ring
ISCO
A(r) = A⌫(r) + Atides(r)
⇤
37. (Abbott et al. PRL 119 (2017) 161101)
•Observation of binary pulsars
in our galaxy indicate spins are
not larger than ~0.04.
•Fastest-spinning neutron star
has (dimensionless) spin ~0.4.
Unveiling binary neutron star properties: masses
•Degeneracy between masses
and spins.
38. Constraining Love numbers with GW170817
(Abbott et al. PRL 119 (2017) 161101)
black hole
⇤ =
m5
NS
=
2
3
k2
✓
RNSc2
GmNS
◆5
Depends on EOS & compactness
NS’s Love number
M
S1
M
S1b
H
4
M
PA1
APR4SLy
less compact
more compact
•Effective tidal deformability
enters GW phase at 5PN
order:
•With state-of-art waveform
models, tides are reduced by
~20%. More analyses are
ongoing.
39. 0.04 0.05 0.06 0.07 0.08 0.09
MΩ
0.00
0.05
0.10
0.15
8.6 7.5 6.5 5.8 5.3 4.8
r / M
k2
eff
k2
k3
eff k3
k4
eff
k4
NSBH mass ratio 2
Γ=2 polytropic
CNS=0.14444
•Dynamical tides: NS’s f-modes can be excited toward merger.
(Kokkotas et al. 1995, Flanagan et al. 08, Hinderer, … AB et al. 16, Steinhoff, … AB et al. 16)
(Hinderer, …,AB et al. 16)
NS’s effective response to
dynamical tidal effects
Including dynamical tidal effects in EOB model
•Tidal force frequency approaches eigenfrequency of NS’s normal
modes of oscillation, resulting in an enhanced, more complex tidal response.
40. Boson stars as black-hole/neutron-star mimickers
(Sennett…AB et al. 17)
(see also Cardoso et al. 17, Johnson-
Mcdaniel 18)
•Boson stars are self-
gravitating configurations
of a complex scalar field
•Black holes:
•Boson stars:
⇤ = 0
⇤min ⇠ 1
•Neutron stars:
⇤ = /M5
(credit: Sennett)
0 2 4 6 8 10
100
101
102
103
104
C =
GM
Rc2
⇤min ⇠ 10
Boson star
0.08
0.158
0.3
0.349
0.5
CompactnessV (| |2) Mmax
Mini BS µ2 2
⇣
85peV
µ
⌘
M
Massive BS µ2 2 + 2 | |4
p ⇣
270MeV
µ
⌘2
M
Neutron star 2 4 M
Solitonic BS µ2 2
⇣
1 2| |2
2
0
⌘2 ⇣
µ
0
⌘2 ⇣
700TeV
µ
⌘3
M
Black hole 1
41. The new era of precision gravitational-wave astrophysics
• We can now learn about gravity in the
genuinely highly dynamical, strong field
regime.
• Theoretical groundwork in analytical and
numerical relativity has allowed us to build
faithful waveform models to search for
signals, infer properties and test GR.
• We have new ways to explore relationships between gravity, light ,
particles and matter.
• As for any new observational tool, gravitational (astro)physics will likely
unveil phenomena and objects never imagined before.
(visualization: Benger @ Airborne
Hydro Mapping Software & Haas @AEI)
(NR simulation: Ossokine, AB, SXS)
•We can probe matter under extreme pressure and density.