Tag Archives: DPAC

Charlier – Stellar Statistics

C.V.L. Charlier’s book on stellar statistics is an enjoyable read. He writes clearly. The book is online, via Project Gutenberg, and is about 50 pages. The URL is below.

Charlier in 1911 proposed the word “siriometer” for interstellar distances. One siriometer is 1 million astronomical units, or approximately twice the distance from Sol to Sirius. Alternatively, 1 siriometer is 15.79 lightyears, or a parallax of 0.206265 arseconds. That is, a parsec is 0.206065 siriometer, and a siriometer is 4.848 parsecs.

Charlier notes (section 4) that Seeliger (and other German astronomers) had long used another distance measure, the Siriusweite which is defined as a parallax of 0.200 arcseconds. The idea of using (twice the) Sol-Sirius distance as a baseline, one variant or another, has a long pedigree. I think one reason the parsec (a term introduced in 1912) caught on is that it is brief — two syllables instead of five.

Another remark of Charlier, also in section 4, is upon the inadvisability of defining a length unit (the Siriusweite, or the parsec) in terms of an angle, particularly an angle which corresponds to the harmonic mean distance of a star, not to its arithmetic mean distance. That remark has merit. We are “saved” from that confusion nowadays because we have redefined the parsec in terms of a distance, a certain number of meters. Astrometric observations, such as by the Gaia space observatory, make appropriate corrections to their measurements of angular displacement. The angle vs distance confusion is not unlike the question of temperature T versus inverse temperature 1/T in thermodynamics, mentioned in my earlier post about Peter Atkins’ book, “Four Laws that Drive the Universe”.

In section 19, Charlier describes the technique used to prepare the original Bonner Durchmusterung catalogue of stars. Fascinating to read! Quite similar to Gaia’s method. A wide field of observation, 6 degrees, with all stars of 9th magnitude or brighter passing through a 1-degree-wide strip of declination noted, manually recording time, declination and magnitude as the stars passed a central hour line. One person called out the declinations and magnitude, another (in a lighted adjacent room) recorded that info with time. They could attain a data rate as high as 30 transits per minute. The original BD catalog was prepared by Argelander, over 625 observing nights in 1852-1859, and contained 324,198 stars. What an achievement!

It’s interesting, when reading an astronomy book from a century ago, to reflect upon the many changes which have happened, improvements in instruments and in concepts. That time distance may be 3 generations, but it is only 2 professional careers.

Relevant links:

The Project Gutenberg page for reading Charlier’s book, “Lectures on Stellar Statistics”, 1921:
http://www.gutenberg.org/ebooks/22157

The Wikipedia page for Siriometer:
http://en.wikipedia.org/wiki/Siriometer

The motivation to read Charlier came via the Project Gaia DPAC newsletter number 05, July-2009:
http://www.cosmos.esa.int/web/gaia/dpac/newsletter

My earlier post about Peter Atkins’s book:

Four Laws that Drive the Universe

Best wishes,
Ken Roberts
27-Jan-2014

Exoplanet Detection and Gaia

Gaia will help to detect many more exoplanets. There are many challenges — the more detailed the data, the more likely that it will be necessary to analyze planetary systems with multiple planets. Those are of course the sorts we are most curious about.

Two papers which discuss the probable effectiveness of exoplanet detection using Gaia’s data are these:

A. Sozzetti, S. Casertano, et al, 2007, “Testing Planet Formation Models with Gaia MicroArcsecond Astronomy”, http://arxiv.org/abs/0711.4903
This is a fairly early paper, good for illustrating the state of the art during Gaia planning. Awareness of that paper came via the Gaia DPAC newsletter number 04 (April 2009) — I previously gave a link for those newsletters.

A. Sozzetti, 2012, “Astrometry and Exoplanet Characterization: Gaia and Its Pandora’s Box”, http://arxiv.org/abs/1201.3484
This paper gives a more recent view of the situation including a discussion of the various software algorithms which are to be used for exoplanet orbit determination.

There are many other papers, prior and since, and we can expect an abundance of papers once the Gaia observations start to flow forth in volume. The detection algorithms will improve as they are tested against reality. The old observational data will be reprocessed, again and again. One really can do experimental science by just sitting and thinking about what one has already seen!

One interesting aspect of the Gaia project will be to trace the improvement in techniques over the life of the project, which has been in the works for over a decade. There is guidance for other long term development efforts of all sorts.

In my younger days, we had a saying, “Keep on Trucking”! I would like to suggest this for Gaia reprocessing:

Keep on Crunching !

Ken Roberts
26-Jan-2014

Gaia the Newborn Astronomer

The original proposal for Gaia’s data processing and analysis consortium, from 2008, has a good explanation of the scientific aspects. It is a 700+ page document, of which the first 240-ish pages are the most interesting to read. The document can be accessed via the web page at URL http://www.cosmos.esa.int/web/gaia/dpac/consortium

Gaia’s logical structures for data processing and analysis remind me of an infant’s learning process. Gaia must be self-calibrating, as no prior star catalogue has as much precision in measurements as Gaia will produce. Later observations by Gaia will refine earlier observations and object recognitions. Gaia’s detectors have an object detection capability which ignores dark patches — comparable to edge detection in the human eye. I expect that one of the side benefits of Gaia will be significant advances in artificial intelligence.

Welcome to the newborn Gaia! She is destined to become one of earth’s foremost astronomers, a pioneer for her species.

Ken Roberts
20-Jan-2014

Gaia DPAC Newsletters

DPAC is the Data Processing and Analysis Consortium for the Gaia spacecraft mission which will conduct a new star survey. There is a wealth of detail in the DPAC newsletters. The newsletters are intended both for the many people involved in the Gaia project, and for other interested people who like a bit of substance beyond the press releases.

The newsletters can be obtained at the URL http://www.cosmos.esa.int/web/gaia/dpac/newsletter and there have been 22 issues so far, over the past 6 years. I’m presently enjoying reading back issues. Start with number 1 to get introduced to the technology and terminology used in the Gaia project.

The vision within the Gaia project, and the detailed project planning including techniques for future data access, are really impressive.

Ken Roberts
20-Jan-2014