Search for Fast Rotation in Grw+70 Degrees 8247
12TH EUROPEAN CONFERENCE ON WHITE DWARF STARS, PROCEEDINGS(2001)
Univ Kiel
Abstract
Grw+70 degrees 8247 belongs to a small group of magnetic white dwarfs which despite repeated observations did not show any changes in their polarization over decades. The inferred rotation periods are of the order of hundred years which is not easy to understand in view of angular momentum conservation during stellar evolution. An alternative possibility, which was to our knowledge never investigated, might be fast rotation with a period between some minutes and a couple of seconds. In order to test this hypothesis the linear polarization of Grw+70 degrees 8247 was measured at the 2.2m telescope at the Calar Alto Observatory, Spain, with a time resolution of 3s. The linear polarization was searched for periodicities in the range between 10s and 4000s. However, no significant periodicities were found. This would be in accordance with a recent report on slow rotation of GD 229 and G 240-72.
MoreTranslated text
求助PDF
上传PDF
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
- Pretraining has recently greatly promoted the development of natural language processing (NLP)
- We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
- We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
- The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
- Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example

Generate MRT to find the research sequence of this paper
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper
Summary is being generated by the instructions you defined