Fine-grained material encased in microtracks of Stardust samples
نویسندگان
چکیده
منابع مشابه
Fine Grained Material in Wild 2 in Interaction with the Stardust
Introduction: The hypervelocity impacts of comet particles at 6.1 km/s have left tracks in the Stardust aerogel. The terminal particles are usually coarse grained minerals but abundant material is also present along the track walls as illustrated by synchrotron X-rays fluorescence spectroscopy [1]. This configuration suggests that the Wild 2 particles are made of poorly cohesive assemblages tha...
متن کاملApplication of pulsed OSL to polymineral fine-grained samples
Pulsed OSL is applied to nine fine-grained sediment samples from Sichuan province, China, using stimulating pulses of 10 ms on and 240 ms off, with an infrared exposure prior to each OSL measurement. Comparison of fading rates between pulsed and non-pulsed signals, the latter also obtained with a preceding IR exposure, shows that fading is significant for mainly the non-pulsed signals. Presence...
متن کاملUltra-Fine Grained Dual-Phase Steels
This paper provides an overview on obtaining low-carbon ultra-fine grained dual-phase steels through rapid intercritical annealing of cold-rolled sheet as improved materials for automotive applications. A laboratory processing route was designed that involves cold-rolling of a tempered martensite structure followed by a second tempering step to produce a fine grained aggregate of ferrite and ca...
متن کاملFine-Grained Recognition without Part Annotations: Supplementary Material
In the main text we showed that large gains from using a VGGNet [5] architecture on the CUB-2011 [6] dataset. We show a similar comparison on the cars-196 [3] dataset in Tab. 1. As before, using a VGGNet architecture leads to large gains. Particularly striking is the gain from fine-tuning a VGGNet on cars-196 – a basic R-CNN goes from 57.4% to 88.4% accuracy only by fine-tuning, much larger tha...
متن کاملFine-Grained Material Classification Using Micro-geometry and Reflectance
In this paper we focus on an understudied computer vision problem, particularly how the micro-geometry and the reflectance of a surface can be used to infer its material. To this end, we introduce a new, publicly available database for fine-grained material classification, consisting of over 2000 surfaces of fabrics. The database has been collected using a custom-made portable but cheap and eas...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Meteoritics & Planetary Science
سال: 2013
ISSN: 1086-9379
DOI: 10.1111/maps.12185