KGRKJGETMRETU895U-589TY5MIGM5JGB5SDFESFREWTGR54TY
Server : Apache/2.4.62
System : FreeBSD fbsdweb2.web.rcn.net 14.1-RELEASE FreeBSD 14.1-RELEASE releng/14.1-n267679-10e31f0946d8 GENERIC amd64
User : www ( 80)
PHP Version : 8.3.8
Disable Function : NONE
Directory :  /domains/astrosfm/AAS_meetings/1997_astro/abstracts/

Upload File :
current_dir [ Writeable ] document_root [ Writeable ]

 

Current File : /domains/astrosfm/AAS_meetings/1997_astro/abstracts/97-702.html
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 3.2//EN">
<HTML>
<HEAD>
<TITLE>Abstract AAS 97-702</TITLE>
</HEAD>
<BODY BGCOLOR="ffffff">
<h2>AAS 97-702</h2>
<h2>IMPROVEMENTS IN MARS GRAVITY FIELD DETERMINATION USING RIDGE-TYPE ESTIMATION METHODS                                                             </h2>
<h4> C.F. Minter - Naval Surface Warfare and D.A. Cicci - Auburn University                                                                                                   </h4>
<h2> Abstract </h2>
The objective of this research was to improve the accuracy of the Jet Propulsion Laboratory's Mars gravity field Mars50c, using ridge-type estimation methods.  Calculation of the gravity field coefficients involves solving a large, ill-conditioned system of linear equations, whose solution leads to erroneous estimates if not augmented by appropriate a priori information.  This study used ridge-type estimation methods to optimally weight a set of a priori constraints to obtain more accurate estimates.  The computed gravity field, AUMGM9, was compared to Mars50c, and results show that AUMGM9 provides more accurate gravity field coefficients than does Mars50c.                                                                                                                                                                                                                                                                                                                                               
                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        

Anon7 - 2021