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Jensen's paper
20 years 5 months ago #9897
by mhelland
Replied by mhelland on topic Reply from Mike Helland
Alright, for anyone following along here is the info:
tinyurl.com/3dgb8
As expected, this is all considerablly over my head
Thanks again, Tom.
mhelland@techmocracy.net
tinyurl.com/3dgb8
As expected, this is all considerablly over my head
Thanks again, Tom.
mhelland@techmocracy.net
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20 years 5 months ago #9898
by tvanflandern
Replied by tvanflandern on topic Reply from Tom Van Flandern
<blockquote id="quote"><font size="2" face="Verdana, Arial, Helvetica" id="quote">quote:<hr height="1" noshade id="quote"><i>Originally posted by mhelland</i>
<br />As expected, this is all considerablly over my head <hr height="1" noshade id="quote"></blockquote id="quote"></font id="quote">Actually, the situation is simpler than I had assumed. Here's the short story (and many thanks for the link).
In my general explanation of Malmquist bias in this thread dated 21 May, I wrote as follows:
"All is well when we can observe a representative sampling of all supernovas. However, in the real universe, we have two factors that can distort the statistics. One is that the volume of space sampled goes up with the cube of distance. The other is that apparent brightness goes down with at least the square of distance."
According to the Teerikorpi et al. paper, the first of these two distortions with distance, the ever-increasing-volume effect, is Malmquist Type I bias; and the second distortion, the cut-off of the sampling curve at some brightness, is Malmquist Type II bias. -|Tom|-
<br />As expected, this is all considerablly over my head <hr height="1" noshade id="quote"></blockquote id="quote"></font id="quote">Actually, the situation is simpler than I had assumed. Here's the short story (and many thanks for the link).
In my general explanation of Malmquist bias in this thread dated 21 May, I wrote as follows:
"All is well when we can observe a representative sampling of all supernovas. However, in the real universe, we have two factors that can distort the statistics. One is that the volume of space sampled goes up with the cube of distance. The other is that apparent brightness goes down with at least the square of distance."
According to the Teerikorpi et al. paper, the first of these two distortions with distance, the ever-increasing-volume effect, is Malmquist Type I bias; and the second distortion, the cut-off of the sampling curve at some brightness, is Malmquist Type II bias. -|Tom|-
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