Improved Point-source Detection in Crowded Fields Using Probabilistic Cataloging

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Probabilistic Catalogs for Crowded Stellar Fields

We introduce a probabilistic (Bayesian) method for producing catalogs from images of crowded stellar fields. The method is capable of inferring the number of sources N in the image and can also handle the challenges introduced by overlapping sources. The luminosity function of the stars can also be inferred even when the precise luminosity of each star is uncertain. This is in contrast with sta...

متن کامل

Online multiple people tracking-by-detection in crowded scenes

Multiple people detection and tracking is a challenging task in real-world crowded scenes. In this paper, we have presented an online multiple people tracking-by-detection approach with a single camera. We have detected objects with deformable part models and a visual background extractor. In the tracking phase we have used a combination of support vector machine (SVM) person-specific classifie...

متن کامل

Probabilistic Collision Detection Between Noisy Point Clouds Using Robust Classification

We present a new collision detection algorithm to perform contact computations between noisy point cloud data. Our approach takes into account the uncertainty that arises due to discretization error and noise, and formulates collision checking as a two-class classification problem. We use techniques from machine learning to compute the collision probability for each point in the input data and ...

متن کامل

Detecting stars in crowded stellar fields

A comparison is made between some conventional and new methods for detecting stars in crowded stellar images. The new methods are (1) Lucy-Richardson deconvolution of the image before detection, and (2) fitting the Point Spread Function to each pixel in the image. These methods are applied to both a synthetic image and a real one. The deconvolution method looks very promising, and gives better ...

متن کامل

Evaluation of Source Counts and Upper Limits in Crowded Rosat Pspc Fields

We present a method for determining source counts, S/N, and upper limits at speciied positions in a crowded ROSAT PSPC eld using a combination of publicly available software packages. The algorithm is based on the so-called`Local DETECT' method of source detection, and improves upon currently available software, to permit a meaningful comparison of non-detections with detected sources. We also ...

متن کامل

ذخیره 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: The Astronomical Journal

سال: 2017

ISSN: 1538-3881

DOI: 10.3847/1538-3881/aa8565