High Frequency or What I learned from reading the 3G science case - PowerPoint PPT Presentation

“High Frequency” or What I learned from reading the 3G science case white papers Michael W. Coughlin California Institute of Technology David and Ellen Lee Fellow 20 May 2019 � 1

An analogy � 2

An analogy PC: NASA/JPL/JHUAPL/ MSSS/BROWN UNIVERSITY � 3

An analogy PC: NASA/JPL-Caltech � 4

An analogy PC: NASA/JPL-Caltech � 5

The 3G Landscape Seed Black Holes Neutron Stars Cosmology Compact Binaries Multi-Messenger Supernovae Observations Waveform Models Extreme Gravity Detector Networks Inspired by Vicky and Sathya � 6

The 3G Landscape Seed Black Holes Neutron Stars Cosmology Compact Binaries Multi-Messenger Supernovae Observations Waveform Models Extreme Gravity Detector Networks Inspired by Vicky and Sathya � 7

A New Era � 8

The last few weeks… with Ahumada, Andreoni, De, Kasliwal, Singer, and � 9 others

Non-detection limits with Ahumada, Cenko, Ghosh, Kaplan and others � 10

The 3G Landscape Seed Black Holes Neutron Stars Cosmology Compact Binaries Multi-Messenger Supernovae Observations Waveform Models Extreme Gravity Detector Networks Inspired by Vicky and Sathya � 11

Neutron Star Remnants There are a variety of possibilities for post-merger scenarios, depending on the remnant mass and equation of state! Can constrain the neutron-star equation of state as well as the initial compact binary that created the post-merger NS. � 12

Post-merger searches Clark et al. 2015 � 13

Post-merger searches Short Duration: 10 - 100 ms Long duration: 100 - 10,000 s Intermediate Duration: 1 - 1000 s � 14

Improving the clustering with Schale, Coughlin, Clark and Bauswein with Banagiri and Sun � 15

Improving the detector Torres-Rivas et al. 2019 � 16

Improving the detector Torres-Rivas et al. 2019 � 17

Why GWs + NSs 3G detectors will… • Will constrain masses to about 0.1 M Read et al. 2013 • Will constrain radius to less than a kilometer � 18

The 3G Landscape Seed Black Holes Neutron Stars Cosmology Compact Binaries Multi-Messenger Supernovae Observations Waveform Models Extreme Gravity Detector Networks Inspired by Vicky and Sathya � 19

Core-Collapse Supernovae Roma et al. 2019 � 20

Core-Collapse Supernovae Roma et al. 2019 � 21

Core-Collapse Supernovae Roma et al. 2019 � 22

Core-Collapse Supernovae Roma et al. 2019 � 23

The 3G Landscape Seed Black Holes Neutron Stars Cosmology Compact Binaries Multi-Messenger Supernovae Observations Waveform Models Extreme Gravity Detector Networks Inspired by Vicky and Sathya � 24

Black-Hole Spectroscopy Tso et al. 2019 � 25

Black-Hole Spectroscopy Tso et al. 2019 � 26

Another Analogy SDSS J0651 (12.75 min) HM Cnc (5.4 min) V407 Vul (9.5 min) � 27

Another Analogy � 28

The 3G Landscape Seed Black Holes Neutron Stars Cosmology Compact Binaries Multi-Messenger Supernovae Observations Waveform Models Extreme Gravity Detector Networks Inspired by Vicky and Sathya � 29

The 3G Landscape Seed Black Holes Neutron Stars Cosmology Compact Binaries Do we know how to Supernovae combine EM-GW data to extract the physics? Waveform Models Extreme Gravity Detector Networks Inspired by Vicky and Sathya � 30

The 3G Landscape Seed Black Holes Neutron Stars Large-scale parameter Cosmology estimation , subtraction, and projection? Do we know how to Supernovae combine EM-GW data to extract the physics? Waveform Models Extreme Gravity Detector Networks Inspired by Vicky and Sathya � 31

The 3G Landscape Seed Black Holes Neutron Stars Can unambiguous Large-scale parameter counterparts/hosts be estimation , subtraction, efficiently identified? and projection? Do we know how to Supernovae combine EM-GW data to extract the physics? Waveform Models Extreme Gravity Detector Networks Inspired by Vicky and Sathya � 32

The 3G Landscape Seed Black Holes Neutron Stars Can unambiguous Large-scale parameter counterparts/hosts be estimation , subtraction, efficiently identified? and projection? Do we know how to More sophisticated analysis framewoks for GW bursts + combine EM-GW data astrophysical sources? to extract the physics? Waveform Models Extreme Gravity Detector Networks Inspired by Vicky and Sathya � 33

Thank you! � 34

Why GWs + NSs • q ≲ 1.29 with 90% confidence. • 279 ≲ ʌ ≲ 822 with 90% confidence with Dietrich, Margalit and Metzger � 35

Localization Prospects ZTFJ18304518 ZTFJ18304518 Zhao and Wen 2018 � 36

Localization Prospects ZTFJ18304518 ZTFJ18304518 WP: COSMOLOGY AND THE EARLY UNIVERSE 2019 � 37

Localization Prospects WP: COSMOLOGY AND THE EARLY UNIVERSE 2019 � 38

Localization Prospects WP: COSMOLOGY AND THE EARLY UNIVERSE 2019 � 39

Axions Axions are proposed ultralight bosons that can extend the standard model and could be viable dark-matter candidates Clouds Tsukada et al. 2019 Mergers Dietrich et al. 2019 � 40

NS Matter Low Mass NSs Effect of EOS on GWs • rotational deformations • various kinds of tidal interactions including the excitation of internal oscillation modes • spin-tidal couplings • the presence of a hard surface / crust NS J0348+0432: M about 2 solar masses BUT… X-rays are hard to model so not much radius information. High Mass NSs 3G Science Case Document � 41

Core-Collapse Supernovae Roma et al. 2019 � 42

Bursts from Magnetars and Other Pulsars Huppenkothen et al. 2012 � 43

Bursts from Magnetars and Other Pulsars Abbott et al. 2019 � 44