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Air Temperature Effects On Muzzle Velocity By Gustavo F. Ruiz
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<blockquote data-quote="Gustavo" data-source="post: 322966" data-attributes="member: 6"><p>One more time, this article is all about <strong>Data Regression</strong> techniques, using the data most likely at hand, which is Air Temperature, used to derive MV as a result.</p><p> </p><p>Any other issues, like the ones posted are not discussed, simply because that's not the central subject of the piece. That's the terrain of Interior Ballistics.</p><p> </p><p><strong>What the article explains and shows (and proves to some limited extent) is that a "Delta Spline" is the best possible method to infer interpolated/extrapolated values.</strong></p><p> </p><p>Of course, I'm not stating that other factors do not matter. Far from that.</p><p> </p><p>And yes, to answer your question, it's a well established fact that Air Temperature affects MV...for the conditions given in the article.</p><p> </p><p>The military (and some other independent labs) have a good number of tests (which are limited to certain border conditions) showing the correlation as stated.</p><p> </p><p>In short, if you have measured MV/Air Temp pairs (KDPs) you need a technique to extract meaningful predicitions for values outside the tested range (a limited dataset).</p><p> </p><p>If that's the case, well, this article exposes which techniques are best and why, in terms as simple as possible.</p><p> </p><p><strong>Now, you being the end user, is up to you to decide under what conditions the KDPs were obtained, and to repeat that same criteria when using the software.</strong></p><p> </p><p><strong>The method(s) cannot infer nothing about the conditions, just provides the best possible math to derive a best "curve fit" to the sample data.</strong></p><p> </p><p>On the other hand, LoadBase 3.0 gives the end-user the tools to study and qualify the sample data, even to highlight "suspect" KDPs.</p><p> </p><p>Statistics is a very powerful tool, but cannot compensate for erroneous criteria or bad judgement. Magical it's not.</p></blockquote><p></p>
[QUOTE="Gustavo, post: 322966, member: 6"] One more time, this article is all about [B]Data Regression[/B] techniques, using the data most likely at hand, which is Air Temperature, used to derive MV as a result. Any other issues, like the ones posted are not discussed, simply because that's not the central subject of the piece. That's the terrain of Interior Ballistics. [B]What the article explains and shows (and proves to some limited extent) is that a "Delta Spline" is the best possible method to infer interpolated/extrapolated values.[/B] Of course, I'm not stating that other factors do not matter. Far from that. And yes, to answer your question, it's a well established fact that Air Temperature affects MV...for the conditions given in the article. The military (and some other independent labs) have a good number of tests (which are limited to certain border conditions) showing the correlation as stated. In short, if you have measured MV/Air Temp pairs (KDPs) you need a technique to extract meaningful predicitions for values outside the tested range (a limited dataset). If that's the case, well, this article exposes which techniques are best and why, in terms as simple as possible. [B]Now, you being the end user, is up to you to decide under what conditions the KDPs were obtained, and to repeat that same criteria when using the software.[/B] [B]The method(s) cannot infer nothing about the conditions, just provides the best possible math to derive a best "curve fit" to the sample data.[/B] On the other hand, LoadBase 3.0 gives the end-user the tools to study and qualify the sample data, even to highlight "suspect" KDPs. Statistics is a very powerful tool, but cannot compensate for erroneous criteria or bad judgement. Magical it's not. [/QUOTE]
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Air Temperature Effects On Muzzle Velocity By Gustavo F. Ruiz
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