Download Simple models for SNC stars - University of Hawaii Physics and

Survey
yes no Was this document useful for you?
   Thank you for your participation!

* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project

Document related concepts

CoRoT wikipedia , lookup

Corvus (constellation) wikipedia , lookup

Ursa Minor wikipedia , lookup

Lambda-CDM model wikipedia , lookup

Astronomical spectroscopy wikipedia , lookup

Transcript
Simple Nonlinear Models
Suggest Variable Star
Universality
John F. Lindner, Wooster College
Presented by John G. Learned
University of Hawai’i at Mānoa
Collaboration
John F. Lindner
The College of Wooster
Michael Hippke
Institute for Data Analysis
Germany
Vivek Kohar
North Carolina State
University
John G. Learned
University of Hawai’i
at Mānoa
Behnam Kia
North Carolina State
University
William L. Ditto
North Carolina State
University
Multi-Frequency Stars
Petersen Diagram
P. Moskalik, “Multi-mode oscillations in classical cepheids and RR Lyrae-type stars”,
Proceedings of the International Astronomical Union 9 (S301) 249 (2013).
Petersen Diagram Rescaled
Spectral Distribution
Strobe signal at primary period
and plot its values versus time
modulo secondary period
to form the Poincaré section
If the function
represents the section,
is it smooth?
Expand function & its derivatives
in Fourier series
For smooth sections, expect Fourier coefficients to decay
exponentially, so all the derivatives also decay
For nonsmooth sections, expect Fourier coefficients to decay
slower, as a power law, so that some derivatives diverge
Invert to get
Since an averaged spectrum
decreases with mode number or frequency
reinterpret
to be the number of super threshold spectral peaks
So rich, rough spectra
have power law spectral distributions
Stellar Analysis
KIC 5520878 Normalized Flux Sample
Lomb-Scargle Periodogram
Spectral Distribution
Gutenberg-Richter law for
volcanic Canary Islands
earthquake distribution
Some Number Theory
Golden Ratio
Slow convergence suggests maximally irrational
Liouville Number
Example of nearly rational irrational
Model 1:
Finite Spring Network
Natural Frequencies
Model 2:
Hierarchical
Spring Network
Natural Frequencies
Model 3:
Asymmetric Quartic
Oscillator
Asymmetric Quartic Potential Energy
Sinusoidal Forcing
Drive Frequency a Golden Ratio Above Natural Frequency
Model 4:
Pressure vs. Gravity
Oscillator
Pressure & Volume
Adiabatic Simplification
Force
Potential Energy
Sinusoidal Forcing
Model
Data
Model 5:
Autonomous Flow
generalized Lorenz convection flow caused by
thermal & gravity gradients plus vibration
Adjust parameters so that
Model 6:
Twist Map
Twist map is circles for vanishing push
Push perturbation has vanishing mean
Least resonant golden shift remains
Insights from
Helioseismology
Helioseismology and asteroseismology have observed many
seismic spectral peaks in the sun and other nonvariable stars,
which correspond to thousands of normal modes
Yet, despite preliminary analysis, we have not discovered
power law scaling in the solar oscillation spectrum
Stochasticity and turbulence dominate the pressure waves in
the sun that produce its standing wave normal modes
In contrast, a varying opacity feedback mechanism inside a
variable star creates its regular pulsations
In golden stars, interactions with this pulsating mode may
dissipate all other modes except those a golden ratio away
Discussion
Summary
The simple nonlinear models suggest
the importance of considering simple explanations
0: The golden ratio itself has unique and remarkable
properties; as the irrational number least well approximated by
rational numbers, it is the least “resonant” number
1: A finite network model of identical springs and masses has
two normal modes whose frequency ratio is golden
2: An infinite network hierarchy can be mass terminated in two
ways to naturally generate two modes whose frequency ratio is
golden, while a realistic truncation of the model generates a
ratio near golden, as observed in the golden stars
Summary
3: A simple asymmetric nonlinear oscillator produces a rich
spectrum with a power-law spectral distribution
4: A more realistic oscillator model of pressure countering
gravity exhibits a recognizable but stylized golden
star attractor
5: An unforced Lorenz-like convection flow also produces a
singular spectrum with a power-law spectral distribution,
provided its parameters are tuned so that a golden ratio
characterizes its orbit
6: An ensemble of twist maps naturally evolve to a golden
state, because golden shifts are least resonant with any
oscillatory perturbation
Simplicity vs. Complexity
The Feigenbaum constant delta ~4.67,
which characterizes the period doubling route to chaos,
has been observed in many diverse experiments
Does the golden ratio ~1.62,
or equivalently the inverse golden ratio ~0.62,
play a similar role?
Or does the mysterious factor of ~0.62,
which characterizes many multifrequency stars,
merely result from nonradial stellar oscillation modes?
Universality vs. Particularity
Some natural dynamical patterns result from
universal features common to even simple models
Other patterns are peculiar to particular physical details
Is the frequency distribution of variable stars
universal or particular?
Thanks for Listening