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    <title>DSpace Community: 05.06. Methods</title>
    <link>http://hdl.handle.net/2122/290</link>
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      <title>﻿Magma chamber evolution prior to the Campanian ﻿Ignimbrite and Neapolitan Yellow Tuff eruptions ﻿(Campi Flegrei, Italy)</title>
      <link>http://hdl.handle.net/2122/2974</link>
      <description>Title: ﻿Magma chamber evolution prior to the Campanian ﻿Ignimbrite and Neapolitan Yellow Tuff eruptions ﻿(Campi Flegrei, Italy)
&lt;br/&gt;
&lt;br/&gt;Authors: Pabst, S.; ﻿Abteilung Geochemie, GZG, ﻿Georg-August-Universität Göttingen, 	﻿Goldschmidtstr. 1, ﻿37077 Göttingen, Germany; Wörner, G.; ﻿Abteilung Geochemie, GZG, ﻿Georg-August-Universität Göttingen, 	﻿Goldschmidtstr. 1, ﻿37077 Göttingen, Germany; ﻿Civetta, L.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione OV, Napoli, Italia; Tesoro, R.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione OV, Napoli, Italia
&lt;br/&gt;
&lt;br/&gt;Abstract: ﻿Abstract The Campi Flegrei (Campanian Region, Italy) 	 &#xD;
experienced two cataclysmic caldera-forming eruptions 	 &#xD;
which produced the Campanian Ignimbrite (39 ka, CI) 	 &#xD;
and the Neapolitan Yellow Tuff (15 ka, NYT). We studied 	 &#xD;
the minor eruptions before both these large events to 	 &#xD;
understand magma chamber evolution leading towards such 	 &#xD;
catastrophic eruptions. Major, trace element, and Sr and Nd 	 &#xD;
isotope compositions of pre-Campanian Ignimbrite and pre-	 &#xD;
Neapolitan Yellow Tuff products define distinct geochem-	 &#xD;
ical groups, which are here interpreted as distinct magma 	 &#xD;
batches. These batches do not show any transitional trend 	 &#xD;
towards the CI and NYT eruptions. The CI and NYT 	 &#xD;
systems are decoupled geochemically and isotopically. At 	 &#xD;
least one of the pre-CI and one of the pre-NYT erupted 	 &#xD;
magma batches qualifies as mixing endmembers for the 	 &#xD;
large CI and NYT eruptions, and thus, must have been 	 &#xD;
stored in reservoirs for some time to remain available for 	 &#xD;
﻿the CI and NYT eruptions. The least evolved, isotopically 	 &#xD;
distinct magma compositions that are typical of the last 	 &#xD;
phases of the NYT and CI eruptions did not occur before 	 &#xD;
caldera-forming events. Based on the new data, we propose 	 &#xD;
the following scenario: Multiple magma chambers with 	 &#xD;
distinct compositions existed below the Campi Flegrei 	 &#xD;
before the CI and NYT eruptions and remained generally 	 &#xD;
separated for some time unless new magma was recharged. 	 &#xD;
In each case, one of the residing magma reservoirs was 	 &#xD;
recharged by a new large-volume magma input of interme-	 &#xD;
diate composition from a deeper differentiating magma 	 &#xD;
reservoir. This may have triggered the coalescence of the 	 &#xD;
previously separated reservoirs into one large chamber 	 &#xD;
which fed the cataclysmic caldera-forming eruption. Large 	 &#xD;
magma chambers in the Campi Flegrei may therefore be 	 &#xD;
ephemeral features, interrupted by periods of evolution in 	 &#xD;
individual, separated magma reservoirs.</description>
      <pubDate>Sun, 29 Oct 2006 22:58:59 GMT</pubDate>
    </item>
    <item>
      <title>Automatic processing of seismic events recorded on a mini-array Signal analysis combined with neural networks</title>
      <link>http://hdl.handle.net/2122/1879</link>
      <description>Title: Automatic processing of seismic events recorded on a mini-array Signal analysis combined with neural networks
&lt;br/&gt;
&lt;br/&gt;Authors: Bottero, A.; Laboratoire de Détection et de Géophysique, Bruyeezs-Le-Chatel, France; Cansi, Y.; Laboratoire de Détection et de Géophysique, Bruyeezs-Le-Chatel, France; Massinon, B.; Laboratoire de Détection et de Géophysique, Bruyeezs-Le-Chatel, France
&lt;br/&gt;
&lt;br/&gt;Abstract: We present a new method for automatic processing of mini-array records of regional events. It is based on a comprehensive analysis of the cross-correlation functions. This leads to a set of time-delays used to compute the azimuth and velocity of the travelling wave only in case of consisteney of the time-delay set. The second step takes into account the time-frequency representations of these wave parameters to identify each regional wave using a neural network. The resulting standard error on azimuth is 3° and the relative error on distance is less than 20%.</description>
      <pubDate>Mon, 29 Aug 1994 22:58:59 GMT</pubDate>
    </item>
    <item>
      <title>Focusing inversion techniques applied to electrical resistance tomography in an experimental tank</title>
      <link>http://hdl.handle.net/2122/1833</link>
      <description>Title: Focusing inversion techniques applied to electrical resistance tomography in an experimental tank
&lt;br/&gt;
&lt;br/&gt;Authors: Pagliara, G.; Math4Tech, Mathematics Department, University of Ferrara, Italy; Vignoli, G.; L.A.R.A. Group, Earth Sciences Department, University of Ferrara, Italy
&lt;br/&gt;
&lt;br/&gt;Abstract: We present an algorithm for focusing inversion of electrical resistivity&#xD;
tomography (ERT) data. ERT is a typical example of ill-posed problem. Regularization is the&#xD;
most common way to face this kind of problems; it basically consists in using a priori&#xD;
information about targets to reduce the ambiguity and the instability of the solution. By using&#xD;
the minimum gradient support (MGS) stabilizing functional, we introduce the following&#xD;
geometrical prior information in the reconstruction process: anomalies have sharp boundaries.&#xD;
The presented work is embedded in a project (L.A.R.A.) which aims at the estimation of&#xD;
hydrogeological properties from geophysical investigations. L.A.R.A. facilities include a&#xD;
simulation tank (4 m x 8 m x 1.35 m); 160 electrodes are located all around the tank and used&#xD;
for 3-D ERT. Because of the large number of electrodes and their dimensions, it is important&#xD;
to model their effect in order to correctly evaluate the electrical system response. The forward&#xD;
modelling in the presented algorithm is based on the so-called complete electrode model that&#xD;
takes into account the presence of the electrodes and their contact impedances.&#xD;
In this paper, we compare the results obtained with different regularizing functionals applied&#xD;
on a synthetic model.</description>
      <pubDate>Sat, 02 Sep 2006 22:58:59 GMT</pubDate>
    </item>
    <item>
      <title>Focusing inversion technique applied to radar tomographic data</title>
      <link>http://hdl.handle.net/2122/1832</link>
      <description>Title: Focusing inversion technique applied to radar tomographic data
&lt;br/&gt;
&lt;br/&gt;Authors: Vignoli, G.; Università di Ferrara, Dipartimento di Scienze della Terra, Via Saragat 1, 4100 Ferrara, Italy; Zanzi, L.; Politecnico di Milano, Dipartimento di Ingegneria Strutturale, Piazza Leonardo da Vinci 32, 20133 Milano, Italy
&lt;br/&gt;
&lt;br/&gt;Abstract: Traveltime tomography is a very effective tool to reconstruct acoustic, seismic or&#xD;
electromagnetic wave speed distribution. To infer the velocity image of the medium from the&#xD;
measurements of first arrivals is a typical example of ill-posed problem. In the framework of&#xD;
Tikhonov regularization theory, in order to replace an ill-posed problem by a well-posed one&#xD;
and to get a unique and stable solution, a stabilizing functional (stabilizer) has to be&#xD;
introduced. The stabilizer selects the desired solution from a class of solutions with a specific&#xD;
physical and/or geometrical property; e.g., the existence of sharp boundaries separating media&#xD;
with different petrophysical parameters. Usually stabilizers based on maximum smoothness&#xD;
criteria are used during the inversion process; in these cases the solutions provide smooth&#xD;
images which, in many situations, do not describe the examined objects properly. Recently a&#xD;
new algorithm of direct minimization of the Tikhonov parametric functional with minimum&#xD;
support stabilizer has been introduced; it produces clear and focused images of targets with&#xD;
sharp boundaries. In this research we apply this new technique to real radar tomographic data&#xD;
and we compare the obtained result with the solution generated by the more traditional&#xD;
minimum norm stabilizer.</description>
      <pubDate>Sat, 03 Sep 2005 22:58:59 GMT</pubDate>
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