Concentrated Dark Matter and PBHs Scott Watson ( Syracuse University - PowerPoint PPT Presentation

Mar 01, 2024 •108 likes •435 views

Concentrated Dark Matter and PBHs Scott Watson ( Syracuse University ) Based on: Concentrated Dark Matter PRD 97 arXiv: 1711.04773 with J. Dror (Berkeley), E. Kuflik (Hebrew University), and B. Melcher (Syracuse) Primordial Black

Concentrated Dark Matter and PBHs Scott Watson ( Syracuse University ) Based on: “Concentrated Dark Matter” — PRD 97 arXiv: 1711.04773   with J. Dror (Berkeley), E. Kuflik (Hebrew University), and B. Melcher (Syracuse) “Primordial Black Holes and Co-Decaying Dark Matter” — arXiv: 1902.04082   with J. Georg (Rensselaer Polytech. Inst.) and B. Melcher (Syracuse)
What happens at The end of Inflation?   Gravitationally coupled hidden sectors are a   natural consequence of inflationary model building. Image courtesy F . Quevedo
Plan for this talk: Part One: Concentrated Dark Matter Weakly coupled to Standard Model, naturally leads to departure from a radiation dominated universe Observables? Part Two: Primordial Black Holes as Dark Matter Weakly coupled to Standard Model. Can they be all or part of the dark matter?

Download Presentation

Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend

Credit: ESO/G Credit: ESA/Hubble DARK MATTER Dark Matter 10 x Luminous Matter Dark Matter

Credit: ESO/G Credit: ESA/Hubble DARK MATTER Dark Matter 10 x Luminous Matter Dark Matter Halo Credit: ESO/L Calada What is this Dark Matter? We do not know Weakly Interacting Massive Particles W I M P s Credit: S.

686 views • 21 slides

Dark matter and its implications at the LHC Conclusions . Numerical Calculation Motivation MC

. . . . . . . . . Dark matter Sep 8, 2012 Dark matter implications at the LHC Zhao-Huan YU (IHEP) Sep 8, 2012 Institute of High Energy Physics, CAS Work in progress with Xiao-Jun BI, Qi-Shu YAN and Peng-Fei YIN Dark matter and its

340 views • 21 slides

Searching for the Dark Matter Wind: a Novel Approach to Dark Matter Detection Jocelyn Monroe, MIT

Searching for the Dark Matter Wind: a Novel Approach to Dark Matter Detection Jocelyn Monroe, MIT Imperial College HEP Seminar November 8, 2007 Outline The Dark Matter Wind Dark Matter Search Strategy Directionality Where We Are Now: DMTPC

628 views • 59 slides

QUANTUM MATERIALS & DARK MATTER DETECTION MOTIVATION NEW DIRECTIONS IN DARK MATTER THEORY

K. ZUREK Leveraging the many faces (and phases) of matter QUANTUM MATERIALS & DARK MATTER DETECTION MOTIVATION NEW DIRECTIONS IN DARK MATTER THEORY Old paradigm: weak scale dark matter (with relic density fixed by freeze-out)

644 views • 29 slides

DARK MATTER IN DSPH Paolo Salucci (& G. Gilmore) SISSA (Oxford) Outline of the Review Dark

DARK MATTER IN DSPH Paolo Salucci (& G. Gilmore) SISSA (Oxford) Outline of the Review Dark Matter is main protagonist in the Universe The concept of Dark Matter in virialized objects Dark Matter in Spirals, Ellipticals, dSphs Dark and

551 views • 28 slides

Alternatives to Dark Energy and Dark Matter and their implications Evidence for Dark Energy and

Alternatives to Dark Energy and Dark Matter and their implications Evidence for Dark Energy and Dark Matter Modified Gravity Models and their observational implications Orfeu Bertolami Instituto Superior Tcnico Departamento de Fsica

610 views • 46 slides

If Axions Make Up 20% of the Dark Matter and WIMPs Make Up 80% of the Dark Matter, How Would We

If Axions Make Up 20% of the Dark Matter and WIMPs Make Up 80% of the Dark Matter, How Would We Know? Andrea Andazzi (Laquila), Ignacio Izaguirre (MPP), Bithika Jain (Sryacuse), Hyungjin Kim (KAIST), Dustin Lorshbough (UT), Daniel

521 views • 14 slides

Beyond Dark Matter and Dark Energy Sean Carroll Beyond Dark Matter and Dark Energy Sean Carroll,

Beyond Dark Matter and Dark Energy Sean Carroll Beyond Dark Matter and Dark Energy Sean Carroll, Caltech 70% dark energy We think that 95% of the universe is dark. But what if gravity is tricking us? 5% ordinary 25% dark matter matter

632 views • 47 slides

Dark matter ManojKaplinghat under our UniversityofCalifornia,Irvine feet and in

Dark matter ManojKaplinghat under our UniversityofCalifornia,Irvine feet and in the sky Searching for Dark Matter Particles on Earth and in Space photo by Art Rosch Tuesday, June 26, 2012 dark matter searches are

575 views • 38 slides

DARK MATTER "Hubble Maps the Cosmic Web of "Clumpy" Dark Matter in 3-D" (Press

1 WOLFGANG KLASSEN DARK MATTER "Hubble Maps the Cosmic Web of "Clumpy" Dark Matter in 3-D" (Press release). NASA. 7 January 2007. 2 DARK MATTER CONTENTS 1. Relating Mass and Light Gravitational lensing Tulley-Fisher

371 views • 25 slides

Earth-Scattering of Dark Matter: from sub-GeV Dark Matter to WIMPzillas Bradley J. Kavanagh

Earth-Scattering of Dark Matter: from sub-GeV Dark Matter to WIMPzillas Bradley J. Kavanagh LPTHE - Paris VI Based (partly) on arXiv:1611.05453 with Riccardo Catena and Chris Kouvaris AmsterDark@GRAPPA - 24th May 2017

939 views • 52 slides

SuperWIMP Dark Matter Takeo Moroi (Tokyo) 1. Introduction Popular candidate of dark matter:

SuperWIMP Dark Matter Takeo Moroi (Tokyo) 1. Introduction Popular candidate of dark matter: thermal relic of a WIMP Important alternative: SuperWIMP dark matter [Feng, Rajaraman & Takayama] SuperWIMP: super-weakly interacting massive

384 views • 17 slides

Dark Matter and Structure Formation Hai-Bo Yu University of California, Riverside TAUP , 2019

Dark Matter and Structure Formation Hai-Bo Yu University of California, Riverside TAUP , 2019 TOYAMA, JAPAN September 10, 2019 Dark Matter 27% 5% 68% Dark Matter Halos: Hosting Galaxies Aquarius Project, Springel+(2008) Dark matter is

604 views • 28 slides

Interplay of dark matter and collider physics G. Blanger LAPTH- Annecy Plan Dark matter

Interplay of dark matter and collider physics G. Blanger LAPTH- Annecy Plan Dark matter Prospects for DM production at LHC Determination of DM properties at LHC Dark matter: a WIMP? Strong evidence that DM dominates over

463 views • 33 slides

Dynamical Dark Matter A New Framework for Dark-Matter Physics Brooks Thomas (University of

Dynamical Dark Matter A New Framework for Dark-Matter Physics Brooks Thomas (University of Hawaii) Based on work done in collaboration with Keith Dienes [arXiv:1106.4546, arXiv:1107.0721, arXiv:1110.xxxx] A New Framework for Dark Matter

421 views • 15 slides

Supersymmetric Dark Matter Minseok Cho KAIST December 07, 2019 1 SUPERSYMMETRIC DARK MATTER

Supersymmetric Dark Matter Minseok Cho KAIST December 07, 2019 1 SUPERSYMMETRIC DARK MATTER Table of Contents 1. Dark Matter 2. Relic Abundance of WIMPs 3. Minimal Supersymmetric Standard Model (MSSM) 4. Detection of WIMPs 2

288 views • 16 slides

Anticoagulation Services at Sandwell and West Birmingham Hospitals NHS Trust Joanne Malpass and

Anticoagulation Services at Sandwell and West Birmingham Hospitals NHS Trust Joanne Malpass and Rachel Clarke 6 th October 2015 Anticoagulant Services at SWBH Consultant Lead Multidisciplinary approach Biomedical scientists (BMS) Nurses

306 views • 15 slides

DATA ANALYTICS USING DEEP LEARNING GT 8803 // SIDDHARTH BISWAL L E C T U R E # 0 3 : B L A Z E

DATA ANALYTICS USING DEEP LEARNING GT 8803 // SIDDHARTH BISWAL L E C T U R E # 0 3 : B L A Z E I T : F A S T E X P L O R A T O R Y V I D E O Q U E R I E S U S I N G N E U R A L N E T W O R K S TODAYs PAPER BlazeIt: Fast

280 views • 23 slides

Incremental and Approximate Inference for Faster Occlusion-based Deep CNN Explanations Supun

Incremental and Approximate Inference for Faster Occlusion-based Deep CNN Explanations Supun Nakandala , Arun Kumar, and Yannis Papakonstantinou University of California, San Diego Introduction Deep Convolutional Neural Networks (CNNs) are

455 views • 30 slides

Speeding Up Data Science: From a Data Management Perspective Jiannan Wang Database System Lab

Speeding Up Data Science: From a Data Management Perspective Jiannan Wang Database System Lab (DSL) Simon Fraser University NWDS Meeting, Jan 5, 2018 1 Simon Fraser University 2 SFU DB/DM Group Ke Wang Martin Ester (Joined SFU in 2000)

277 views • 25 slides

IAPT PBR Workshop 20 July 2017 Andy Wright, IAPT Clinical Advisor, Rebecca Campbell, Quality

Yorkshire and the Humber Mental Health Network IAPT PBR Workshop 20 July 2017 Andy Wright, IAPT Clinical Advisor, Rebecca Campbell, Quality Improvement Manager and Sarah Boul, Quality Improvement Lead andywright1@nhs.net,

999 views • 81 slides

Computation of Transfer Maps from Surface Data with Applications to Wigglers Using Elliptical

Computation of Transfer Maps from Surface Data with Applications to Wigglers Using Elliptical Cylinders Chad Mitchell and Alex Dragt University of Maryland March 2006 Version Abstract Simulations indicate that the dynamic aperture of

455 views • 34 slides

Kenneth Harris Characterizing low n Degrees 0 A C

Kenneth Harris Characterizing low n Degrees 0 A C low n D K H Department of Computer Science University of Chicago

459 views • 27 slides

s s t t t r r

s s t t t r r t s t t r

263 views • 5 slides