Binping xiao superconducting surface impedance under radiofrequency fieldthinfilmsworkshop
Based on BCS theory with moving Cooper pairs, the electron states distribution at 0 K and the probability of electron occupation with finite temperature have been derived and applied to anomalous skin effect theory to obtain the surface impedance of a superconductor under radiofrequency (RF) field. We present the numerical results for Nb and compare these with representative RF field-dependent effective surface resistance measurements from a 1.5 GHz resonant structure.
UCSD NANO 266 Quantum Mechanical Modelling of Materials and Nanostructures is a graduate class that provides students with a highly practical introduction to the application of first principles quantum mechanical simulations to model, understand and predict the properties of materials and nano-structures. The syllabus includes: a brief introduction to quantum mechanics and the Hartree-Fock and density functional theory (DFT) formulations; practical simulation considerations such as convergence, selection of the appropriate functional and parameters; interpretation of the results from simulations, including the limits of accuracy of each method. Several lab sessions provide students with hands-on experience in the conduct of simulations. A key aspect of the course is in the use of programming to facilitate calculations and analysis.
UCSD NANO 266 Quantum Mechanical Modelling of Materials and Nanostructures is a graduate class that provides students with a highly practical introduction to the application of first principles quantum mechanical simulations to model, understand and predict the properties of materials and nano-structures. The syllabus includes: a brief introduction to quantum mechanics and the Hartree-Fock and density functional theory (DFT) formulations; practical simulation considerations such as convergence, selection of the appropriate functional and parameters; interpretation of the results from simulations, including the limits of accuracy of each method. Several lab sessions provide students with hands-on experience in the conduct of simulations. A key aspect of the course is in the use of programming to facilitate calculations and analysis.
UCSD NANO 266 Quantum Mechanical Modelling of Materials and Nanostructures is a graduate class that provides students with a highly practical introduction to the application of first principles quantum mechanical simulations to model, understand and predict the properties of materials and nano-structures. The syllabus includes: a brief introduction to quantum mechanics and the Hartree-Fock and density functional theory (DFT) formulations; practical simulation considerations such as convergence, selection of the appropriate functional and parameters; interpretation of the results from simulations, including the limits of accuracy of each method. Several lab sessions provide students with hands-on experience in the conduct of simulations. A key aspect of the course is in the use of programming to facilitate calculations and analysis.
As recent and future galaxy surveys map the large-scale structure of the universe with unprecedented pace and precision, it is worthwhile to consider innovative data analysis methods beyond traditional Gaussian 2-point statistics to extract more cosmological information from those datasets. Such efforts are often plagued by substantially increased complexity of the analysis. Hoping to improve this, I will present simple, nearly optimal methods to measure 3-point statistics as easily as 2-point statistics, by cross-correlating the mass density with specific quadratic fields [arXiv:1411.6595]. Inspired by these results, I will argue that BAO reconstructions already combine 2-point statistics with certain 3- and 4-point functions automatically [arXiv:1508.06972]. I will present several new Eulerian and Lagrangian reconstruction algorithms and discuss their performance in simulations.
NANO106 is UCSD Department of NanoEngineering's core course on crystallography of materials taught by Prof Shyue Ping Ong. For more information, visit the course wiki at http://nano106.wikispaces.com.
UCSD NANO 266 Quantum Mechanical Modelling of Materials and Nanostructures is a graduate class that provides students with a highly practical introduction to the application of first principles quantum mechanical simulations to model, understand and predict the properties of materials and nano-structures. The syllabus includes: a brief introduction to quantum mechanics and the Hartree-Fock and density functional theory (DFT) formulations; practical simulation considerations such as convergence, selection of the appropriate functional and parameters; interpretation of the results from simulations, including the limits of accuracy of each method. Several lab sessions provide students with hands-on experience in the conduct of simulations. A key aspect of the course is in the use of programming to facilitate calculations and analysis.
Binping xiao superconducting surface impedance under radiofrequency fieldthinfilmsworkshop
Based on BCS theory with moving Cooper pairs, the electron states distribution at 0 K and the probability of electron occupation with finite temperature have been derived and applied to anomalous skin effect theory to obtain the surface impedance of a superconductor under radiofrequency (RF) field. We present the numerical results for Nb and compare these with representative RF field-dependent effective surface resistance measurements from a 1.5 GHz resonant structure.
UCSD NANO 266 Quantum Mechanical Modelling of Materials and Nanostructures is a graduate class that provides students with a highly practical introduction to the application of first principles quantum mechanical simulations to model, understand and predict the properties of materials and nano-structures. The syllabus includes: a brief introduction to quantum mechanics and the Hartree-Fock and density functional theory (DFT) formulations; practical simulation considerations such as convergence, selection of the appropriate functional and parameters; interpretation of the results from simulations, including the limits of accuracy of each method. Several lab sessions provide students with hands-on experience in the conduct of simulations. A key aspect of the course is in the use of programming to facilitate calculations and analysis.
UCSD NANO 266 Quantum Mechanical Modelling of Materials and Nanostructures is a graduate class that provides students with a highly practical introduction to the application of first principles quantum mechanical simulations to model, understand and predict the properties of materials and nano-structures. The syllabus includes: a brief introduction to quantum mechanics and the Hartree-Fock and density functional theory (DFT) formulations; practical simulation considerations such as convergence, selection of the appropriate functional and parameters; interpretation of the results from simulations, including the limits of accuracy of each method. Several lab sessions provide students with hands-on experience in the conduct of simulations. A key aspect of the course is in the use of programming to facilitate calculations and analysis.
UCSD NANO 266 Quantum Mechanical Modelling of Materials and Nanostructures is a graduate class that provides students with a highly practical introduction to the application of first principles quantum mechanical simulations to model, understand and predict the properties of materials and nano-structures. The syllabus includes: a brief introduction to quantum mechanics and the Hartree-Fock and density functional theory (DFT) formulations; practical simulation considerations such as convergence, selection of the appropriate functional and parameters; interpretation of the results from simulations, including the limits of accuracy of each method. Several lab sessions provide students with hands-on experience in the conduct of simulations. A key aspect of the course is in the use of programming to facilitate calculations and analysis.
As recent and future galaxy surveys map the large-scale structure of the universe with unprecedented pace and precision, it is worthwhile to consider innovative data analysis methods beyond traditional Gaussian 2-point statistics to extract more cosmological information from those datasets. Such efforts are often plagued by substantially increased complexity of the analysis. Hoping to improve this, I will present simple, nearly optimal methods to measure 3-point statistics as easily as 2-point statistics, by cross-correlating the mass density with specific quadratic fields [arXiv:1411.6595]. Inspired by these results, I will argue that BAO reconstructions already combine 2-point statistics with certain 3- and 4-point functions automatically [arXiv:1508.06972]. I will present several new Eulerian and Lagrangian reconstruction algorithms and discuss their performance in simulations.
NANO106 is UCSD Department of NanoEngineering's core course on crystallography of materials taught by Prof Shyue Ping Ong. For more information, visit the course wiki at http://nano106.wikispaces.com.
UCSD NANO 266 Quantum Mechanical Modelling of Materials and Nanostructures is a graduate class that provides students with a highly practical introduction to the application of first principles quantum mechanical simulations to model, understand and predict the properties of materials and nano-structures. The syllabus includes: a brief introduction to quantum mechanics and the Hartree-Fock and density functional theory (DFT) formulations; practical simulation considerations such as convergence, selection of the appropriate functional and parameters; interpretation of the results from simulations, including the limits of accuracy of each method. Several lab sessions provide students with hands-on experience in the conduct of simulations. A key aspect of the course is in the use of programming to facilitate calculations and analysis.
UCSD NANO 266 Quantum Mechanical Modelling of Materials and Nanostructures is a graduate class that provides students with a highly practical introduction to the application of first principles quantum mechanical simulations to model, understand and predict the properties of materials and nano-structures. The syllabus includes: a brief introduction to quantum mechanics and the Hartree-Fock and density functional theory (DFT) formulations; practical simulation considerations such as convergence, selection of the appropriate functional and parameters; interpretation of the results from simulations, including the limits of accuracy of each method. Several lab sessions provide students with hands-on experience in the conduct of simulations. A key aspect of the course is in the use of programming to facilitate calculations and analysis.
UCSD NANO 266 Quantum Mechanical Modelling of Materials and Nanostructures is a graduate class that provides students with a highly practical introduction to the application of first principles quantum mechanical simulations to model, understand and predict the properties of materials and nano-structures. The syllabus includes: a brief introduction to quantum mechanics and the Hartree-Fock and density functional theory (DFT) formulations; practical simulation considerations such as convergence, selection of the appropriate functional and parameters; interpretation of the results from simulations, including the limits of accuracy of each method. Several lab sessions provide students with hands-on experience in the conduct of simulations. A key aspect of the course is in the use of programming to facilitate calculations and analysis.
George Green's Contribution to MRI, Roger Bowley, 21 October 2014uazkjs
Slides to accompany the lunchtime talk given by Professor Roger Bowley of the School of Physics and Astronomy, The University of Nottingham, at the Djanogly Theatre, Nottingham Lakeside Arts, on Tuesday 21 October 2014.
I am Baddie K. I am a Magnetic Materials Assignment Expert at eduassignmenthelp.com. I hold a Masters's Degree in Electro-Magnetics, from The University of Malaya, Malaysia. I have been helping students with their assignments for the past 12 years. I solve assignments related to Magnetic Materials.
Visit eduassignmenthelp.com or email info@eduassignmenthelp.com. You can also call on +1 678 648 4277 for any assistance with Magnetic Materials Assignments.
A mildly relativistic wide-angle outflow in the neutron-star merger event GW1...Sérgio Sacani
GW170817 was the first gravitational wave detection of a binary
neutron-star merger1
. It was accompanied by radiation across the
electromagnetic spectrum and localized2
to the galaxy NGC 4993
at a distance of 40 megaparsecs. It has been proposed that the
observed γ-ray, X-ray and radio emission is due to an ultrarelativistic
jet launched during the merger, directed away from
our line of sight3–6. The presence of such a jet is predicted from
models that posit neutron-star mergers as the central engines
that drive short hard γ-ray bursts7,8
. Here we report that the radio
light curve of GW170817 has no direct signature of an off-axis
jet afterglow. Although we cannot rule out the existence of a jet
pointing elsewhere, the observed γ-rays could not have originated
from such a jet. Instead, the radio data require a mildly relativistic
wide-angle outflow moving towards us. This outflow could be the
high-velocity tail of the neutron-rich material dynamically ejected
during the merger or a cocoon of material that breaks out when a
jet transfers its energy to the dynamical ejecta. The cocoon model
explains the radio light curve of GW170817 as well as the γ-rays
and X-rays (possibly also ultraviolet and optical emission)9–15, and
is therefore the model most consistent with the observational data.
Cocoons may be a ubiquitous phenomenon produced in neutronstar
mergers, giving rise to a heretofore unidentified population of
radio, ultraviolet, X-ray and γ-ray transients in the local Universe
I am Ben R. I am a Statistics Assignment Expert at statisticshomeworkhelper.com. I hold a Ph.D. in Statistics, from University of Denver, USA. I have been helping students with their homework for the past 5 years. I solve assignments related to Statistics.
Visit statisticshomeworkhelper.com or email info@statisticshomeworkhelper.com.
You can also call on +1 678 648 4277 for any assistance with Statistics Assignment.
Dark Matter - - the dark matter of the internet is open, social, peer-to-peer...Michael Edson
Keynote for Europeana Creative, Kulturstyrelsen - Danish Agency for Culture, Internet Librarian International (London), Southeastern Museum Conference (USA), Library of Congress Reference Forum, St. John's University Library Forum, University of Oklahoma Digital Humanities Presidential Lecture, Smith Leadership Symposium (Balboa Park, USA)...
The Dark Matter of the Internet - - the dark matter of the internet is open, social, peer-to-peer and read write...and it's the future of libraries, museums, archives, and institutions of all kinds.
Also see the essay on which this talk is based: Dark Matter - - https://medium.com/@mpedson/dark-matter-a6c7430d84d1
And a video of me presenting these slides at the 2014 Southeastern Museums Conference (USA): http://youtu.be/-tdLD5rdRTQ
UCSD NANO 266 Quantum Mechanical Modelling of Materials and Nanostructures is a graduate class that provides students with a highly practical introduction to the application of first principles quantum mechanical simulations to model, understand and predict the properties of materials and nano-structures. The syllabus includes: a brief introduction to quantum mechanics and the Hartree-Fock and density functional theory (DFT) formulations; practical simulation considerations such as convergence, selection of the appropriate functional and parameters; interpretation of the results from simulations, including the limits of accuracy of each method. Several lab sessions provide students with hands-on experience in the conduct of simulations. A key aspect of the course is in the use of programming to facilitate calculations and analysis.
UCSD NANO 266 Quantum Mechanical Modelling of Materials and Nanostructures is a graduate class that provides students with a highly practical introduction to the application of first principles quantum mechanical simulations to model, understand and predict the properties of materials and nano-structures. The syllabus includes: a brief introduction to quantum mechanics and the Hartree-Fock and density functional theory (DFT) formulations; practical simulation considerations such as convergence, selection of the appropriate functional and parameters; interpretation of the results from simulations, including the limits of accuracy of each method. Several lab sessions provide students with hands-on experience in the conduct of simulations. A key aspect of the course is in the use of programming to facilitate calculations and analysis.
George Green's Contribution to MRI, Roger Bowley, 21 October 2014uazkjs
Slides to accompany the lunchtime talk given by Professor Roger Bowley of the School of Physics and Astronomy, The University of Nottingham, at the Djanogly Theatre, Nottingham Lakeside Arts, on Tuesday 21 October 2014.
I am Baddie K. I am a Magnetic Materials Assignment Expert at eduassignmenthelp.com. I hold a Masters's Degree in Electro-Magnetics, from The University of Malaya, Malaysia. I have been helping students with their assignments for the past 12 years. I solve assignments related to Magnetic Materials.
Visit eduassignmenthelp.com or email info@eduassignmenthelp.com. You can also call on +1 678 648 4277 for any assistance with Magnetic Materials Assignments.
A mildly relativistic wide-angle outflow in the neutron-star merger event GW1...Sérgio Sacani
GW170817 was the first gravitational wave detection of a binary
neutron-star merger1
. It was accompanied by radiation across the
electromagnetic spectrum and localized2
to the galaxy NGC 4993
at a distance of 40 megaparsecs. It has been proposed that the
observed γ-ray, X-ray and radio emission is due to an ultrarelativistic
jet launched during the merger, directed away from
our line of sight3–6. The presence of such a jet is predicted from
models that posit neutron-star mergers as the central engines
that drive short hard γ-ray bursts7,8
. Here we report that the radio
light curve of GW170817 has no direct signature of an off-axis
jet afterglow. Although we cannot rule out the existence of a jet
pointing elsewhere, the observed γ-rays could not have originated
from such a jet. Instead, the radio data require a mildly relativistic
wide-angle outflow moving towards us. This outflow could be the
high-velocity tail of the neutron-rich material dynamically ejected
during the merger or a cocoon of material that breaks out when a
jet transfers its energy to the dynamical ejecta. The cocoon model
explains the radio light curve of GW170817 as well as the γ-rays
and X-rays (possibly also ultraviolet and optical emission)9–15, and
is therefore the model most consistent with the observational data.
Cocoons may be a ubiquitous phenomenon produced in neutronstar
mergers, giving rise to a heretofore unidentified population of
radio, ultraviolet, X-ray and γ-ray transients in the local Universe
I am Ben R. I am a Statistics Assignment Expert at statisticshomeworkhelper.com. I hold a Ph.D. in Statistics, from University of Denver, USA. I have been helping students with their homework for the past 5 years. I solve assignments related to Statistics.
Visit statisticshomeworkhelper.com or email info@statisticshomeworkhelper.com.
You can also call on +1 678 648 4277 for any assistance with Statistics Assignment.
Dark Matter - - the dark matter of the internet is open, social, peer-to-peer...Michael Edson
Keynote for Europeana Creative, Kulturstyrelsen - Danish Agency for Culture, Internet Librarian International (London), Southeastern Museum Conference (USA), Library of Congress Reference Forum, St. John's University Library Forum, University of Oklahoma Digital Humanities Presidential Lecture, Smith Leadership Symposium (Balboa Park, USA)...
The Dark Matter of the Internet - - the dark matter of the internet is open, social, peer-to-peer and read write...and it's the future of libraries, museums, archives, and institutions of all kinds.
Also see the essay on which this talk is based: Dark Matter - - https://medium.com/@mpedson/dark-matter-a6c7430d84d1
And a video of me presenting these slides at the 2014 Southeastern Museums Conference (USA): http://youtu.be/-tdLD5rdRTQ
“Progress and Challenges in Interactive Cognitive Systems”diannepatricia
A presentation by Pat Langley, University of Auckland, Director for Institute for the Study of Learning and Expertise, and 35 year contributor to Artificial Intelligence - his presentation to Cognitive Systems Institute Speaker Series on December 3, 2015.
Purpose: The slides provide an overview on the Cognitive Computing trend for IBM clients and external stakeholders
Content: Summary information about the Cognitive Computing trend is provided along with many links to additional resources.
How To Use This Report: This report is best read/studied and used as a learning document. You may want to view the slides in slideshow mode so you can easily follow the links
Available on Slideshare: This presentation (and other HorizonWatch Trend Reports for 2015) will be available publically on Slideshare at http://www.slideshare.net/horizonwatching
Please Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution.
ALMA Measurement of 10 kpc-scale Lensing Power Spectra towards the Lensed Qua...Sérgio Sacani
The lensing power spectra for gravitational potential, astrometric shift, and convergence perturbations are powerful probes to investigate dark matter structures on small
scales. We report the first lower and upper bounds of these lensing power spectra on
angular scale ∼ 1
′′ towards the anomalous quadruply lensed quasar MG J0414+0534
at a redshift z = 2.639. To obtain the spectra, we conducted observations of
MG J0414+0534 using the Atacama Large Millimeter/submillimeter Array (ALMA)
with high angular resolution (0.
′′02-0.
′′05). We developed a new partially non-parametric
method in which Fourier coefficients of potential perturbation are adjusted to minimize
the difference between linear combinations of weighted mean de-lensed images. Using
positions of radio jet components, extended dust emission on scales > 1 kpc, and midinfrared flux ratios, the range of measured convergence, astrometric shift, and potential
powers at an angular scale of ∼ 1.
′′1 (corresponding to an angular wave number of
l = 1.2 × 106 or ∼ 9 kpc in the primary lens plane) within 1 σ are ∆κ = 0.021 − 0.028,
∆α = 7 − 9 mas, and ∆ψ = 1.2 − 1.6 mas2
, respectively. Our result is consistent with
the predicted abundance of halos in the line of sight and subhalos in cold dark matter
models. Our partially non-parametric lens models suggest a presence of a clump in
the vicinity of object Y, a possible dusty dwarf galaxy and some small clumps in the
vicinity of other lensed quadruple images. Although much fainter than the previous
report, we detected weak continuum emission possibly from object Y with a peak flux
of ∼ 100 µJy beam−1
at the ∼ 4 σ level.
Presentation in the Science Coffee hosted by the Advanced Concepts Team of the European Space Agency on the 12.01.2024.
Speaker: Benoit Famaey (CNRS - Observatoire astronomique de Strasbourg)
Title: Modified Newtonian Dynamics
Abstract: Presentation around the topic of MOND / tests of MOND
Directional Spreading Effect on a Wave Energy ConverterElliot Song
The results demonstrate the importance of tuning the WEC system for specific wave environments to harvest most energy and to avoid potential capsize due to hurricanes etc.
Distinguishing Dark Matter, Modified Gravity, and Modified Inertia with the I...Sérgio Sacani
The missing gravity in galaxies requires dark matter, or alternatively a modification of gravity
or inertia. These theoretical possibilities of fundamental importance may be distinguished by the
statistical relation between the observed centripetal acceleration of particles in orbital motion and
the expected Newtonian acceleration from the observed distribution of baryons in galaxies. Here
predictions of cold dark matter halos, modified gravity, and modified inertia are compared and tested
by a statistical sample of galaxy rotation curves from the Spitzer Photometry and Accurate Rotation
Curves database. Modified gravity under an estimated mean external field correctly predicts the
observed statistical relation of accelerations from both the inner and outer parts of rotation curves.
Taken at face value there is a 6.9σ difference between the inner and outer parts on an acceleration
plane which would be inconsistent with current proposals of modified inertia. Removing galaxies with
possible systematic concerns such as central bulges or special inclinations does not change this trend.
Cold dark matter halos predict a systematically deviating relation from the observed one. All aspects
of rotation curves are most naturally explained by modified gravity.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo DiehlPeter Udo Diehl
I'm excited to share my latest predictions on how AI, robotics, and other technological advancements will reshape industries in the coming years. The slides explore the exponential growth of computational power, the future of AI and robotics, and their profound impact on various sectors.
Why this matters:
The success of new products and investments hinges on precise timing and foresight into emerging categories. This deck equips founders, VCs, and industry leaders with insights to align future products with upcoming tech developments. These insights enhance the ability to forecast industry trends, improve market timing, and predict competitor actions.
Highlights:
▪ Exponential Growth in Compute: How $1000 will soon buy the computational power of a human brain
▪ Scaling of AI Models: The journey towards beyond human-scale models and intelligent edge computing
▪ Transformative Technologies: From advanced robotics and brain interfaces to automated healthcare and beyond
▪ Future of Work: How automation will redefine jobs and economic structures by 2040
With so many predictions presented here, some will inevitably be wrong or mistimed, especially with potential external disruptions. For instance, a conflict in Taiwan could severely impact global semiconductor production, affecting compute costs and related advancements. Nonetheless, these slides are intended to guide intuition on future technological trends.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™UiPathCommunity
In questo evento online gratuito, organizzato dalla Community Italiana di UiPath, potrai esplorare le nuove funzionalità di Autopilot, il tool che integra l'Intelligenza Artificiale nei processi di sviluppo e utilizzo delle Automazioni.
📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
Autopilot per Studio Web
Autopilot per Studio
Autopilot per Apps
Clipboard AI
GenAI applicata alla Document Understanding
👨🏫👨💻 Speakers:
Stefano Negro, UiPath MVPx3, RPA Tech Lead @ BSP Consultant
Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
Andrei Tasca, RPA Solutions Team Lead @NTT Data
The infamous Mallox is the digital Robin Hoods of our time, except they steal from everyone and give to themselves. Since mid-2021, they've been playing hide and seek with unsecured Microsoft SQL servers, encrypting data, and then graciously offering to give it back for a modest Bitcoin donation.
Mallox decided to go shopping for new malware toys, adding the Remcos RAT, BatCloak, and a sprinkle of Metasploit to their collection. They're now playing a game of "Catch me if you can" with antivirus software, using their FUD obfuscator packers to turn their ransomware into the digital equivalent of a ninja.
-------
This document provides a analysis of the Target Company ransomware group, also known as Smallpox, which has been rapidly evolving since its first identification in June 2021.
The analysis delves into various aspects of the group's operations, including its distinctive practice of appending targeted organizations' names to encrypted files, the evolution of its encryption algorithms, and its tactics for establishing persistence and evading defenses.
The insights gained from this analysis are crucial for informing defense strategies and enhancing preparedness against such evolving cyber threats.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
3. A Fundamental Uncertainty in
The BAO Scale from Isocurvature Modes
Physics Letters B. 696 (2011), pp. 433437
The sensitivity of BAO Dark Energy Constraints to
General Isocurvature Perturbations
arXiv:1111.2572v1
Work(s) With C. Zunckel, S. MuyaKasanda,
K. Moodley (UKZN, SA) ;
B.A. BASSETT (AIMS/UCT/SAAO, SA)
4. Motivation
our current understanding of Baryon Acoustic Oscillations (BAO)
relies on a set of restrictive assumptions about the initial conditions.
Question : Assuming more general initial conditions,
by how much could this assumption alter/bias
our understanding of DE via the BAO scale ?
5. Initial Conditions space
Adiabatic (curvature) perturbations
Isocurvature (entropy) perturbations
space
12.
BAO are a firm prediction of CDM models
and one keytopic of the science programme for SKA;
Even for isocurvature amplitudes undetectable by PLANCK, the
presence of multiple isocurvature modes could lead to biases in the
DE parameters that exceed 7 sigma on average, if the analysis is
done assuming isocurvature initial conditions;
Accounting for all isocurvature modes corrects for this bias but
degrades the DE figure of merit by at least 50% in the case of the
BOSS experiment;
BAO data also provide much stronger constraints on the nature of
the primordial perturbations than from the CMB alone.
22. The Basic Geometric Degeneracy :
Okouma et al., 2012. In prep
K =
Ωk and Wde effects can cancel each other
1
Using WMAP7 data only,
>same angular power spectrum for
K = 1 IF WDE = 1, Then
IF
different sets of these parameters.
Larson et al., 2011
K = 0
25. Bayes Theorem:
MetropolisHastings algorithm for the sampling of the posterior pdf
> Random walk in parameter space using a modified CosmoMC
Data: WMAP7yr , Supernovae, BBN, HST (+ ACT data)
B. Bassett stat. lectures
5 chains of 300 000 steps each ran
27. Oohh Look !
Okouma et al., 2012. In prep
Okouma et al., 2011. In prep
using CAMB
H0 = 71 (km/s)/Mpc,
Ok = 0.15
H0 = 56.36 (km/s)/Mpc,
Ok = 0.06 AIMS 2012 27
30. Large open models with dynamical DE which fit the
first CMB peak do exist, but the strong Integrated
SachsWolfe (ISW) effect in such models means
that low multipoles of the CMB power spectrum is
very poorly fit, hence these models are discarded.
The vast ~ 30dimensional parameter volume
explored is an additional limitation.
32.
A significantly nonphantom (Wde > 1) leads to a
strong reduction in the volume of possible curved
models;
A general dynamical dark energy model adds nothing
significant in terms of allowing for curved models;
Strong constraints on cosmic curvature remain despite
the extra dark energy freedom. However, these
constraints now come from a mixture of dynamical
constraints (ISW effect) and distance measurements.
41. Summary
A general dynamical dark energy model adds nothing
significant in terms of allowing for curved models;
Strong constraints on cosmic curvature remain despite
the extra dark energy freedom.
However, these constraints now come from a mixture of
dynamical constraints (Integrated SachsWolfe effect) and
distance measurements.