Search Results - "Qu, Helen"
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1
Photo-zSNthesis: Converting Type Ia Supernova Lightcurves to Redshift Estimates via Deep Learning
Published in The Astrophysical journal (01-09-2023)“…Abstract Upcoming photometric surveys will discover tens of thousands of Type Ia supernovae (SNe Ia), vastly outpacing the capacity of our spectroscopic…”
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Journal Article -
2
The Pantheon+ Analysis: SuperCal-fragilistic Cross Calibration, Retrained SALT2 Light-curve Model, and Calibration Systematic Uncertainty
Published in The Astrophysical journal (01-10-2022)“…Abstract We present a recalibration of the photometric systems in the Pantheon+ sample of Type Ia supernovae (SNe Ia) including those in the SH0ES…”
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Journal Article -
3
What’s the Difference? The Potential for Convolutional Neural Networks for Transient Detection without Template Subtraction
Published in The Astronomical journal (01-09-2023)“…Abstract We present a study of the potential for convolutional neural networks (CNNs) to enable separation of astrophysical transients from image artifacts, a…”
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Journal Article -
4
Photometric Classification of Early-time Supernova Light Curves with SCONE
Published in The Astronomical journal (01-02-2022)“…Abstract In this work, we present classification results on early supernova light curves from SCONE, a photometric classifier that uses convolutional neural…”
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Journal Article -
5
Photo-zSNthesis: Converting Type Ia Supernova Lightcurves to Redshift Estimates via Deep Learning
Published in The Astrophysical journal (01-09-2023)“…Abstract Upcoming photometric surveys will discover tens of thousands of Type Ia supernovae (SNe Ia), vastly outpacing the capacity of our spectroscopic…”
Get full text
Journal Article -
6
Photometric Classification of Early-time Supernova Light Curves with SCONE
Published in The Astronomical journal (11-01-2022)“…Abstract In this work, we present classification results on early supernova light curves from SCONE, a photometric classifier that uses convolutional neural…”
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Journal Article -
7
Towards Precision Photometric Type Ia Supernova Cosmology With Machine Learning
Published 01-01-2024“…The revolutionary discovery of dark energy and accelerating cosmic expansion was made with just 42 type Ia supernovae (SNe Ia) in 1999. Since then, large…”
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Dissertation -
8
What’s the Difference? The Potential for Convolutional Neural Networks for Transient Detection without Template Subtraction
Published in The Astronomical journal (18-08-2023)“…Abstract We present a study of the potential for convolutional neural networks (CNNs) to enable separation of astrophysical transients from image artifacts, a…”
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Journal Article -
9
Processing of Alu small RNAs by DICER/ADAR1 complexes and their RNAi targets
Published in RNA (Cambridge) (01-12-2020)“…In addition to adenosine-to-inosine RNA editing activities, ADAR1 has been shown to have various RNA editing-independent activities including modulation of…”
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Journal Article -
10
Towards Precision Photometric Type Ia Supernova Cosmology with Machine Learning
Published 06-06-2024“…The revolutionary discovery of dark energy and accelerating cosmic expansion was made with just 42 type Ia supernovae (SNe Ia) in 1999. Since then, large…”
Get full text
Journal Article -
11
Photo-zSNthesis: Converting Type Ia Supernova Lightcurves to Redshift Estimates via Deep Learning
Published 19-05-2023“…Upcoming photometric surveys will discover tens of thousands of Type Ia supernovae (SNe Ia), vastly outpacing the capacity of our spectroscopic resources. In…”
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Journal Article -
12
Connect Later: Improving Fine-tuning for Robustness with Targeted Augmentations
Published 08-01-2024“…Models trained on a labeled source domain (e.g., labeled images from wildlife camera traps) often generalize poorly when deployed on an out-of-distribution…”
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Journal Article -
13
Photometric Classification of Early-Time Supernova Lightcurves with SCONE
Published 10-11-2021“…In this work, we present classification results on early supernova lightcurves from SCONE, a photometric classifier that uses convolutional neural networks to…”
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Journal Article -
14
Transformers for scientific data: a pedagogical review for astronomers
Published 18-10-2023“…The deep learning architecture associated with ChatGPT and related generative AI products is known as transformers. Initially applied to Natural Language…”
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Journal Article -
15
Sum-of-Parts: Faithful Attributions for Groups of Features
Published 24-10-2023“…Feature attributions explain machine learning predictions by assigning importance scores to input features. While faithful attributions accurately reflect…”
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Journal Article -
16
A Convolutional Neural Network Approach to Supernova Time-Series Classification
Published 19-07-2022“…One of the brightest objects in the universe, supernovae (SNe) are powerful explosions marking the end of a star's lifetime. Supernova (SN) type is defined by…”
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Journal Article -
17
SCONE: Supernova Classification with a Convolutional Neural Network
Published 08-06-2021“…We present a novel method of classifying Type Ia supernovae using convolutional neural networks, a neural network framework typically used for image…”
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Journal Article -
18
The FIX Benchmark: Extracting Features Interpretable to eXperts
Published 20-09-2024“…Feature-based methods are commonly used to explain model predictions, but these methods often implicitly assume that interpretable features are readily…”
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Journal Article -
19
What's the Difference? The potential for Convolutional Neural Networks for transient detection without template subtraction
Published 25-08-2023“…2023 AJ 166 115 We present a study of the potential for Convolutional Neural Networks (CNNs) to enable separation of astrophysical transients from image…”
Get full text
Journal Article -
20
The Pantheon+ Analysis: SuperCal-Fragilistic Cross Calibration, Retrained SALT2 Light Curve Model, and Calibration Systematic Uncertainty
Published 14-11-2022“…ApJ 938 111 (2022) We present here a re-calibration of the photometric systems used in the Pantheon+ sample of Type Ia supernovae (SNe Ia) including those used…”
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Journal Article