neufer wrote: ↑Mon Nov 08, 2021 1:54 am
johnnydeep wrote: ↑Sun Nov 07, 2021 8:58 pm
Apparently Hubble can use a refined parallax measurement technique called "spatial scanning" that is supposedly accurate to about 10000 ly. But I don't understand how it works. This article didn't help -
https://www.nasa.gov/press/2014/april/n ... nto-space/
To make a distance measurement, two exposures of the target Cepheid star were taken six months apart, when Earth was on opposite sides of the sun. A very subtle shift in the star's position was measured to an accuracy of 1/1,000 the width of a single image pixel in Hubble's Wide Field Camera 3, which has 16.8 megapixels total. A third exposure was taken after another six months to allow for the team to subtract the effects of the subtle space motion of stars, with additional exposures used to remove other sources of error.
There has got to be something more to it than is described here however.
The
Gaia spacecraft successfully uses "
spatial scanning" in order to determine stellar positions to an accuracy of 6.7 micro-arcseconds (and with relatively small 1.45 × 0.5 m primary mirrors). In essence, a moving "video" of stars tracking linearly across a large array of "fat" pixels is analyzed statistically in order to obtain the best fit for moving point sources. Initially, Gaia was to use interferometry to accurately locate stars but "
spatial scanning" turned out to be a superior strategy.
Thanks. "Statistics: is there nothing they can't do?"
A Wikipedia page about
spatiospectral scanning has a little more info:
Spatio-spectral scanning[1] is one of four techniques for hyperspectral imaging, the other three being spatial scanning,[2] spectral scanning [3] and non-scanning, or snapshot hyperspectral imaging.
The technique was designed to put into practice the concept of 'tilted sampling' of the hyperspectral data cube, which had been deemed difficult to achieve.[4] Spatio-spectral scanning yields a series of thin, diagonal slices of the data cube. Figuratively speaking, each acquired image is a 'rainbow-colored' spatial map of the scene. More precisely, each image represents two spatial dimensions, one of which is wavelength-coded. To acquire the spectrum of a given object point, scanning is needed.
Spatio-spectral scanning combines some advantages of spatial and spectral scanning: Depending on the context of application, one can choose between a mobile and a stationary platform. Moreover, each image is a spatial map of the scene, facilitating pointing, focusing, and data analysis. This is particularly valuable for irregular or irretrievable scanning movements. Being based on dispersion, spatio-spectral scanning systems yield high spatial and spectral resolution.
The reference leads to a paper about "hyper-spectral and multi-spectral" imaging, which seems to be a related, and perhaps an even more accurate method than plain old "spatial scanning":
https://cdn2.hubspot.net/hub/145999/doc ... al ima.pdf
Turns out there's lots more to be found googling for "gaia spatial scanning"...