# Synthetic tracking using ZTF Long Dwell Datasets

**Authors:** Chengxing Zhai, Quanzhi Ye, Michael Shao, Russell Trahan, Navtej S., Saini, Janice Shen, and Thomas A. Prince

arXiv: 1907.11299 · 2020-04-29

## TL;DR

This paper demonstrates the application of synthetic tracking to ZTF long-dwell datasets, enabling the detection of faint, slowly moving asteroids including main belt, Trojan, Hilda, Hungaria, Phocaea, and near-Earth objects, with over a thousand objects identified.

## Contribution

The paper introduces a novel application of synthetic tracking to ZTF data for asteroid detection, achieving significant new detections of faint, slow-moving objects.

## Key findings

- Detected over 1000 asteroids, including various families and near-Earth objects.
- Successfully applied synthetic tracking to long-dwell ZTF datasets.
- Demonstrated effectiveness of the method for faint asteroid detection.

## Abstract

The Zwicky Transit Factory (ZTF) is a powerful time domain survey facility with a large field of view. We apply the synthetic tracking technique to integrate a ZTF's long-dwell dataset, which consists of 133 nominal 30-second exposure frames spanning about 1.5 hours, to search for slowly moving asteroids down to approximately 23rd magnitude. We found more than one thousand objects from searching 40 CCD-quadrant subfields, each of which covers a field size of $\sim$0.73 deg$^2$. While most of the objects are main belt asteroids, there are asteroids belonging to families of Trojan, Hilda, Hungaria, Phocaea, and near-Earth-asteroids. Such an approach is effective and productive. Here we report the data process and results.

## Full text

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## Figures

9 figures with captions in the complete paper: https://tomesphere.com/paper/1907.11299/full.md

## References

7 references — full list in the complete paper: https://tomesphere.com/paper/1907.11299/full.md

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Source: https://tomesphere.com/paper/1907.11299