Write for enclosed mass. The stellar hydrostatic equation is . If radiation pressure dominates, compare it directly with the radiative diffusion result for :This is the limiting Eddington luminosity scaling, assuming fixed composition and electron-scattering opacity.
If gas pressure dominates, use stellar homology: characteristic density and pressure . The ideal gas law then givesEstimating in radiative diffusion givesThus at fixed and constant electron-scattering opacity, . These are stellar homology estimates for radiative stars, not exact relations valid for arbitrary composition and internal transport.
The same gas-pressure stellar homology estimates give and . With Kramers' opacity law , radiative diffusion givesConsequently the claimed exponent five additionally requires the approximate low-mass main-sequence mass-radius relation and fixed composition:The supplied opacity and pressure assumptions alone do not establish that mass-radius relation. For example, a homologous fixed-radius family obeys those scaling assumptions but gives , not . More generally gives . Very low-mass stars can be convective, where this radiative model ceases to apply.
Planet-encounter relative velocity 2026-10-07
In units where a circular planet has orbital radius and speed one, the particle's relative speed outside a close encounter satisfies , to leading order in the planet-to-star mass ratio. This follows from the vis-viva equation and at the encounter radius. A short conservative encounter changes the direction of this relative velocity while preserving its magnitude.
Point process Created 2026-10-07 Updated 2026-10-14
A point process records random locations by a random measure that counts them. Examples include arrival times of a queue, positions of stars, and the finite eigenvalue configuration of a random matrix. The count in an observation window is a random variable; its expected value is supplied by the intensity measure of a point process, while its fluctuations and relationships with other windows require more information.
For a precise spatial convention, take with its Borel sigma-algebra and a probability space . A locally finite point process is a measurable function from to the space of locally finite point measures, equipped with the sigma-algebra generated by evaluations for Borel sets . Each realization has the formwhere is finite or countable and repeated locations are allowed; is a Dirac measure. Here a point measure is a counting measure with possible multiplicities, rather than the counting measure of a set of distinct locations.[ref]
Lectures on the Poisson Process by Günter Last and others. Section 2.1, Definition 2.1, printed pp. 10-11: point measures and the sigma-algebra generated by evaluations
Local finiteness means for every bounded Borel set , on a single almost sure event. In it suffices to check the countable collection of balls of integer radius centered at the origin, and this is equivalent to finiteness on every compact set. On a general measurable space there is no notion of boundedness without additional structure: state a metric or an explicit family of observation windows. Another convention on locally compact spaces requires finiteness on compact sets; this need not coincide with finiteness on all bounded sets outside . Local finiteness does not require finitely many points in all of .[ref]
Lectures on the Poisson Process by Günter Last and others. Section 2.4, Definitions 2.11 and 2.13, printed pp. 16-17: bounded-set local finiteness and the countable ball exhaustion
Point spread function Created 2026-10-05 Updated 2026-10-14
A point spread function is an imaging system's response to an optical point source. Here it means the distribution of image light intensity: an ideal point object becomes a finite spot, often with faint rings, because of diffraction. An unresolved star and a sufficiently small bead emitting fluorescence are practical approximations to an optical point source. Their image tells us how nearby object details will overlap, and reveals blurring from optical aberrations, defocus, and, for an optical telescope, astronomical seeing.
A useful convention separates shape from throughput. At a fixed image plane, let be the point spread function with . Its units are inverse area. A point delivering detected radiant flux at image position produces light intensity ; this point spread function normalization makes the integral over the image equal to . A profile divided by its own peak is convenient for comparing widths, but is a different point spread function normalization and does not by itself compare total radiant flux.
In incoherent imaging, different object points have negligible mutual spatial optical coherence over the measurement, so their image light intensities add. If the response also obeys translation invariance over the chosen field of view, the expected continuous image is the convolutionHere is the object brightness distribution expressed in image-scaled coordinates, with magnification already included, and is constant transmission. For , where is the two-dimensional Dirac delta function, this gives . A changing response across the field of view instead requires a position-dependent integral kernel ; one measured point spread function is then only a local calibration.
In coherent imaging, the superposition principle applies to the complex wave amplitudes. With amplitude spread function , the corresponding ideal model isThus generally differs from : coherent contributions produce wave interference terms that depend on their relative wave phases. Their time average vanishes for mutually incoherent emitters, which explains the intensity convolution. Partial optical coherence requires the correlations between object points as well.[ref]
Ideal circular-pupil point responses and the overlap of two mutually incoherent sources
. Details. The figure is an original diffraction model, not measured data. All panels have the same total radiant flux: each member of a pair contributes half the single-source radiant flux. Dashed curves show the separate light intensity contributions; the solid curve is their sum. The point spread functions have tails, so even sources satisfying the Rayleigh criterion overlap. As separation decreases, the image changes continuously; there is no abrupt disappearance of all information at one separation.
A motivating measured example is Measurement of point-spread function (PSF) for confocal fluorescence microscopy by InCheon Song and others (2005). A laser, delivered through an optical fiber, excited fluorescent beads on a slide through a , numerical aperture oil-immersion objective. A moving stage scanned the bead; emitted light returned through the objective, an emission filter and a pinhole to a photodiode. The readout was fluorescence light intensity against scanned position. Under the same setup, nominal bead diameters , , and produced progressively broader measured spots. The size comparison controls for the finite object: the measured response is the convolution of bead emission with the effective point spread function, rather than a pure point response. Inverting this convolution model gave a response compared with the theoretical one. The smaller bead gave a weaker signal relative to noise; uncertainty in actual bead diameter also affected the restored width. These are limits of the calibration. In confocal microscopy, excitation and pinhole detection jointly determine the effective point spread function; this experiment does not measure the ideal widefield Airy disk plotted above.[ref]
For a new calibration, useful additional controls are to measure detector background, avoid saturating the photodetector, repeat the scan to check stability, and compare isolated beads at several positions in the field of view. Record wavelength, numerical aperture, pinhole setting, sampling interval and optical focus. These are practical recommendations, not extra measurements claimed for the published experiment.
Primordial abundances require extrapolation to material minimally processed by stars. Helium is inferred from hydrogen and helium emission in low-metallicity ionized regions, with ionization and temperature corrections. Deuterium is inferred from isotope-shifted absorption in low-metallicity quasar systems. Lithium is measured in old metal-poor stellar atmospheres and requires a correction, or a bound, for stellar depletion. These observables probe different astrophysical environments and systematic errors.
Proper-eccentricity annulus 2026-10-05
For a common semi-major axis and proper eccentricity , randomly distributed proper longitudes of periapsis give an annulus of radii and about the point displaced from the star by minus times the forced eccentricity vector, to first order in orbital eccentricity.
