This story draft by @escholar has not been reviewed by an editor, YET.

SkyCURTAINs: Model agnostic search for Stellar Streams with Gaia data: Line detection

EScholar: Electronic Academic Papers for Scholars HackerNoon profile picture
0-item

Table of Links

Abstract and 1. Introduction

2. Dataset

3. SkyCURTAINs Method and 3.1 CurtainsF4F

3.2. Line detection

4. Results

4.1. Metrics

4.2. Full GD-1 stream scan

5. Conclusion, Acknowledgments, Data Availability, and References


APPENDIX A: CurtainsF4F TRAINING AND HYPERPARAMETER TUNING DETAILS

A1. CurtainsF4F features preprocessing

A2. Hyperparameter tuning

3.2 Line detection

The CurtainsF4F step gives us a set of stars which produce an over-density in the feature space. We still need to filter out the overdensities that are particularly line like, as we are interested in stellar streams. We employ a well known line finding algorithm to estimate the line parameters of the stream via the Hough transform, as was done in (Shih et al. 2021, 2023). Since we do not apply a fiducial cut to eliminate stars outside a 10◦ radius, we can use the full set of stars that pass the CurtainsF4F cut in the patch to estimate the line parameters.


For a given star located at (𝜙′, 𝜆′), the Hough transform is a mapping from the 𝜙-𝜆 space to the parameter space 𝜌 − 𝜃, defined as:



Authors:

(1) Debajyoti Sengupta, Département de physique nucléaire et corpusculaire, University of Geneva, Switzerland ([email protected]);

(2) Stephen Mulligan, Département de physique nucléaire et corpusculaire, University of Geneva, Switzerland;

(3) David Shih, NHETC, Dept. of Physics and Astronomy, Rutgers, Piscataway, NJ 08854, USA;

(4) John Andrew Raine,, Département de physique nucléaire et corpusculaire, University of Geneva, Switzerland;

(5) Tobias Golling, Département de physique nucléaire et corpusculaire, University of Geneva, Switzerland.


This paper is available on arxiv under CC BY 4.0 DEED license.


L O A D I N G
. . . comments & more!

About Author

EScholar: Electronic Academic Papers for Scholars HackerNoon profile picture
EScholar: Electronic Academic Papers for Scholars@escholar
We publish the best academic work (that's too often lost to peer reviews & the TA's desk) to the global tech community

Topics

Around The Web...

Trending Topics

blockchaincryptocurrencyhackernoon-top-storyprogrammingsoftware-developmenttechnologystartuphackernoon-booksBitcoinbooks