tfix submit button and methods text - cosmo - front and backend for Markov-Chain Monte Carlo inversion of cosmogenic nuclide concentrations
(HTM) git clone git://src.adamsgaard.dk/cosmo
(DIR) Log
(DIR) Files
(DIR) Refs
(DIR) README
(DIR) LICENSE
---
(DIR) commit 98d48e7dbbf72523bbcb542fb847642fe9c1ad18
(DIR) parent 912012b26c11e57093e1ad7fcecd82f1020328bf
(HTM) Author: Anders Damsgaard <anders.damsgaard@geo.au.dk>
Date: Fri, 7 Aug 2015 16:48:34 +0200
fix submit button and methods text
Diffstat:
M index.html | 10 +++++-----
M pages/methods.html | 27 +++++++++++++++------------
2 files changed, 20 insertions(+), 17 deletions(-)
---
(DIR) diff --git a/index.html b/index.html
t@@ -56,11 +56,11 @@
</div>
</nav>
- <!--<div id="main">-->
- <div ng-view>
- <!-- content is injected here -->
- </div>
- <!--</div>-->
+ <main>
+ <div ng-view>
+ <!-- content is injected here -->
+ </div>
+ </main>
<footer class="page-footer blue">
<div class="container">
(DIR) diff --git a/pages/methods.html b/pages/methods.html
t@@ -9,17 +9,20 @@
<h5 class="header col s12 light">Markov-Chain Monte Carlo inversion
of exposure age or erosion rates</h5> </div>-->
-<p class="flow-text">
-Cosmogenic nuclides are typically used to either constrain an exposure age, a
-burial age, or an erosion rate. Constraining the landscape history and past
-erosion rates in previously glaciated terrains is, however, notoriously
-difficult because it involves a large number of unknowns. The potential use of
-cosmogenic nuclides in landscapes with a complex history of exposure and
-erosion is therefore often quite limited. Here, we present a novel
-multi-nuclide approach based on the Markov Chain Monte Carlo (MCMC) technique.
-The model framework currently incorporates any combination of the following
-nuclides <sup>10</sup>Be, <sup>26</sup>Al, <sup>14</sup>C, and <sup>21</sup>Ne,
-and is highly flexible.
-</p>
+ <p>
+ Cosmogenic nuclides are typically used to either constrain an
+ exposure age, a burial age, or an erosion rate. Constraining the
+ landscape history and past erosion rates in previously glaciated
+ terrains is, however, notoriously difficult because it involves a
+ large number of unknowns. The potential use of cosmogenic nuclides
+ in landscapes with a complex history of exposure and erosion is
+ therefore often quite limited. Here, we present a novel
+ multi-nuclide approach based on the Markov Chain Monte Carlo (MCMC)
+ technique. The model framework currently incorporates any
+ combination of the following nuclides <sup>10</sup>Be,
+ <sup>26</sup>Al, <sup>14</sup>C, and <sup>21</sup>Ne, and is highly
+ flexible.
+ </p>
+
</div>
</div>