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View article: <tt>Mantis Shrimp</tt>: Exploring Photometric Band Utilization in Computer Vision Networks for Photometric Redshift Estimation
Mantis Shrimp: Exploring Photometric Band Utilization in Computer Vision Networks for Photometric Redshift Estimation Open
We present Mantis Shrimp , a multisurvey deep learning model for photometric redshift estimation that fuses ultraviolet (Galaxy Evolution Explorer), optical (PanSTARRS), and infrared (UnWISE) imagery. Machine learning is now an established…
View article: Mantis Shrimp: Exploring Photometric Band Utilization in Computer Vision Networks for Photometric Redshift Estimation
Mantis Shrimp: Exploring Photometric Band Utilization in Computer Vision Networks for Photometric Redshift Estimation Open
We present Mantis Shrimp, a multi-survey deep learning model for photometric redshift estimation that fuses ultra-violet (GALEX), optical (PanSTARRS), and infrared (UnWISE) imagery. Machine learning is now an established approach for photo…
View article: Preliminary Report on Mantis Shrimp: a Multi-Survey Computer Vision Photometric Redshift Model
Preliminary Report on Mantis Shrimp: a Multi-Survey Computer Vision Photometric Redshift Model Open
The availability of large, public, multi-modal astronomical datasets presents an opportunity to execute novel research that straddles the line between science of AI and science of astronomy. Photometric redshift estimation is a well-establ…
View article: National Park Air Quality Index Dataset
National Park Air Quality Index Dataset Open
The National Park Air Quality Index dataset (NPS-AQI) consists of webcam images taken from the National Park Service's publicly available air quality web cameras and associated measurements for air pollutants, AQI, and meteorological data …
View article: Gumby: Quantifying multi-modal model resiliency
Gumby: Quantifying multi-modal model resiliency Open
With the rise of cheap data and sensors, more use cases are emerging for multi-input models. Research has shown that including multiple data modalities can improve performance, suggesting that deep learning models can successfully learn to…
View article: Impact of architecture on robustness and interpretability of multispectral deep neural networks
Impact of architecture on robustness and interpretability of multispectral deep neural networks Open
Including information from additional spectral bands (e.g., near-infrared) can improve deep learning model performance for many vision-oriented tasks. There are many possible ways to incorporate this additional information into a deep lear…
View article: Quantifying the robustness of deep multispectral segmentation models against natural perturbations and data poisoning
Quantifying the robustness of deep multispectral segmentation models against natural perturbations and data poisoning Open
In overhead image segmentation tasks, including additional spectral bands beyond the traditional RGB channels can improve model performance. However, it is still unclear how incorporating this additional data impacts model robustness to ad…
View article: How many dimensions are required to find an adversarial example?
How many dimensions are required to find an adversarial example? Open
Past work exploring adversarial vulnerability have focused on situations where an adversary can perturb all dimensions of model input. On the other hand, a range of recent works consider the case where either (i) an adversary can perturb a…
View article: pnnl/frequency_sensitivity
pnnl/frequency_sensitivity Open
This research code base includes functions to compute statistics of image distributions in (spatial DFT) frequency space, train deep learning image classifiers on these distributions with variable depth and weight decay, and finally measur…
View article: pnnl/gumby-spectral-imaging
pnnl/gumby-spectral-imaging Open
Deep Learning models for multi- and hyper-spectral imaging data
View article: Testing predictions of representation cost theory with CNNs
Testing predictions of representation cost theory with CNNs Open
It is widely acknowledged that trained convolutional neural networks (CNNs) have different levels of sensitivity to signals of different frequency. In particular, a number of empirical studies have documented CNNs sensitivity to low-freque…
View article: The BPT Diagram in Cosmological Galaxy Formation Simulations: Understanding the Physics Driving Offsets at High Redshift
The BPT Diagram in Cosmological Galaxy Formation Simulations: Understanding the Physics Driving Offsets at High Redshift Open
The Baldwin, Philips, & Terlevich diagram of [O iii ]/H β versus [N ii ]/H α (hereafter N2-BPT) has long been used as a tool for classifying galaxies based on the dominant source of ionizing radiation. Recent observations have demonstrated…
View article: dfm/python-fsps: python-fsps v0.4.1rc1
dfm/python-fsps: python-fsps v0.4.1rc1 Open
Release candidate for python-fsps with compatibility updates for FSPS v3.2
View article: dfm/python-fsps: python-fsps v0.4.0rc1
dfm/python-fsps: python-fsps v0.4.0rc1 Open
A release candidate for v0.4. Major refactor of build infrastructure and some bugfixes.
View article: dfm/python-fsps: python-fsps v0.3.0rc1
dfm/python-fsps: python-fsps v0.3.0rc1 Open
A release candidate for v0.3
View article: A Comparison of UV and Optical Metallicities in Star-forming Galaxies
A Comparison of UV and Optical Metallicities in Star-forming Galaxies Open
Our ability to study the properties of the interstellar medium in the earliest galaxies will rely on emission-line diagnostics at rest-frame ultraviolet (UV) wavelengths. In this work, we identify metallicity-sensitive diagnostics using UV…
View article: Stellar Feedback and Resolved Stellar IFU Spectroscopy in the Nearby Spiral Galaxy NGC 300
Stellar Feedback and Resolved Stellar IFU Spectroscopy in the Nearby Spiral Galaxy NGC 300 Open
We present MUSE integral field unit (IFU) observations of five individual H ii regions in two giant star-forming complexes in the low-metallicity, nearby dwarf spiral galaxy NGC 300. In combination with high spatial resolution Hubble Space…
View article: Comparison of Theoretical Starburst Photoionization Models for Optical Diagnostics
Comparison of Theoretical Starburst Photoionization Models for Optical Diagnostics Open
We study and compare different examples of stellar evolutionary synthesis\ninput parameters used to produce photoionisation model grids using the MAPPINGS\nV modelling code. The aim of this study is to (a) explore the systematic\neffects o…
View article: Self-consistent Predictions for LIER-like Emission Lines from Post-AGB Stars
Self-consistent Predictions for LIER-like Emission Lines from Post-AGB Stars Open
Early-type galaxies (ETGs) frequently show emission from warm ionized gas. These low-ionization emission regions (LIERs) were originally attributed to a central, low-luminosity active galactic nucleus. However, the recent discovery of spat…
View article: Astro2020 Science White Paper: Spatially Resolved UV Nebular Diagnostics in Star-Forming Galaxies
Astro2020 Science White Paper: Spatially Resolved UV Nebular Diagnostics in Star-Forming Galaxies Open
Diagnosing the physical and chemical conditions within star-forming galaxies (SFGs) is of paramount importance to understanding key components of galaxy formation and evolution: star-formation, gas enrichment, outflows, and accretion. Well…
View article: The Evolution and Properties of Rotating Massive Star Populations
The Evolution and Properties of Rotating Massive Star Populations Open
We investigate the integrated properties of massive ( ) rotating single-star stellar populations for a variety of initial rotation rates ( , 0.2, 0.4, 0.5, and 0.6). We couple the new MESA Isochrone and Stellar Tracks (MIST) models to the …
View article: Overview Of The SDSS-IV Manga Survey: Mapping Nearby Galaxies At Apache Point Observatory
Overview Of The SDSS-IV Manga Survey: Mapping Nearby Galaxies At Apache Point Observatory Open
We present an overview of a new integral field spectroscopic survey called MaNGA (Mapping Nearby Galaxies at Apache Point Observatory), one of three core programs in the fourth-generation Sloan Digital Sky Survey (SDSS-IV) that began on 20…
View article: THE MANGA INTEGRAL FIELD UNIT FIBER FEED SYSTEM FOR THE SLOAN 2.5 M TELESCOPE
THE MANGA INTEGRAL FIELD UNIT FIBER FEED SYSTEM FOR THE SLOAN 2.5 M TELESCOPE Open
We describe the design, manufacture, and performance of bare-fiber integral field units (IFUs) for the SDSS-IV survey Mapping Nearby Galaxies at Apache Point Observatory (MaNGA) on the the Sloan 2.5 m telescope at Apache Point Observatory.…