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Software in Astronomy Symposium Presentations, Part 2

This is the second in a series of posts on the six-session Software in Astronomy Symposium held on Wednesday and Thursday, April 3-4 at the 2018 EWASS/NAM meeting.

BLOCK 2: Software publishing, impact, & credit
This session focused on using the available infrastructure to better reward software authors and ways to count these valuable research objects. The software contributions that enable much of the results in astronomy are often not recognized, nor considered for reward or promotion. Unlike most of the other sessions in this Symposium, this session had only three short presentations and devoted the rest of the time to an open discussion and Q&A. The session and discussion period was moderated by Rein Warmels (ESO, DE).

Slide from Bianco’s presentation

Federica Bianco (NYU, US) presented Understanding the Impact of Your Research Software to open the session. She stated that one should always cite software used in research, but “it’s not always obvious how.” She discussed a finding of Howison and Bullard (2015) in their research on software citation in biology articles: open source software is cited more informally than proprietary software. This means that software authors are not accruing credit for their contributions in a way that academia rewards: formal citations. Bianco mentioned Force11, which has published software citation principles, and the now-completed Depsy project, which sought to provide not only citation information on software but also to measure the impact and use of code through other statistics, such as downloads, number of contributors and number of projects reusing the software. Among Bianco’s suggestions for fostering good citation practices for one’s own software were to get a DOI for it and give users instructions on how the software should be cited.

One of Smith’s slides

Keith Smith (Science, UK) spoke on Citation of data and software in astronomy: A journal editor’s perspective. Smith said that most scientific advances have their base on previous work, which requires reproducibility. Citations not only enhance reproducibility, they also assign credit. He provided guidelines for citing data and software, sharing bad, better, and good examples, and spoke of a virtuous cycle that will increase reproducibility in addition to the sharing of software and data. Smith mentioned the Center for Open Science Transparency and Openness Promotion guidelines, a policy framework for journals that was developed with journal and community input, and noted that though over 5,000 journals have signed onto them, none of the major astronomy journals have done so. Science’s policies require proper citation of data and software and release of data and software upon publication. Looking forward, Smith sees data and software citation becoming more common, as could be seen with a graph from the ASCL’s dashboard showing the increasing number of citations to its entries, and stated that journals have a role in improving reproducibility and proper citations through policies and editor and referee awareness of changing community standards.

The last presentation of this session was by Alice Allen (ASCL, US), who spoke on Receiving Credit for Research Software. She discussed recent changes in astronomy and in other disciplines that make recognizing the contributions of software authors easier. These changes include new journals, both astro-specific and with a broader focus, specifically for software, policy changes for existing journals, and community resources; these resources include collaborative coding sites such as Bitbucket and GitHub and archival resources such as Figshare and Zenodo. Existing services such as the ASCL have been given new life and are growing; in its Next Generation project, arXiv is improving its support for linking data and code to research. Software citation is captured/tracked/counted by indexers such as ADS, Web of Science, and Google Scholar. Broader efforts to improve reproducibility, citation,

Rein Warmels moderating

and credit, such as CodeMeta, Force11, WSSSPE, the FAIR principles, and DataCite involve those from many disciplines; the sharing of ideas influences not just those involved in the efforts, but has a greater reach with their aspirational and practical goals and guidelines. Allen shared steps code authors can take to increase the probability of having their software cited correctly and steps researchers can take to improve their articles by including citations for the computational methods that enabled their research, and provided a link to resources mentioned in her talk.

Rein Warmels then opened the floor for discussion. Someone asked whether GitHub would “be there forever?” The point was made that GitHub is not intended to be an archive, and that other services are, so use them to archive your code. On whether to release software, Smith stated that even horrible to read code is better than no code: “it’s hard, painful, and you may hate someone forever… but that’s better than nothing.” Science can provide software information as a supplement, so that is one way to ensure your software is available to support your research findings. In discussing software citations, Allen pointed out that ADS has not been able to automatically track citations to Zenedo DOIs, though that is expected to change soon. The issue of what exactly to cite also came up – should one cite all the dependencies needed to run a particular research code? Neither astronomy nor other disciplines have a way to handle this; at this time, the recommendation is to cite the research software you use well so others will know what your work relied on, and leave it to the software sites to identify the dependencies.

Slides from this session

Understanding the Impact of Your Research Software by Federica Bianco (pdf)

Citation of data and software in astronomy: A journal editor’s perspective_by Keith Smith (pdf)

Receiving Credit for Research Software by Alice Allen (pdf)

Software in Astronomy Symposium Presentations (2018 EWASS/NAM)

This is the first in a series of posts on the six-session Software in Astronomy Symposium held on Wednesday and Thursday, April 3-4 at the 2018 EWASS/NAM meeting. Each of the six sessions focused on a different aspect of research software, covering not only specific software packages, but also computational techniques used in data mining and machine learning, open services, software development training and techniques, and getting credit and citations for computational methods. Several sessions included a free-form period in which participants could ask questions, discuss issues, and share information. The last session of the Symposium was a lively moderated discussion among attendees with particular interest in software publishing.

BLOCK 1: Software engineering and sustainability, education for better software, & the ecosystem around Python in astronomy
The first session set the stage for the Symposium, featuring a variety of topics of importance when discussing astronomy research software. Alice Allen (ASCL, US) moderated the session. In the inaugural talk, Software Engineers as Partners in Astronomy Software Development, John Wenskovitch (Virginia Tech, US) opened his presentation with a quote by computer scientist and professor Carole Goble, stating that software is “the most prevalent of all the instruments used in modern science.” This was reiterated by others throughout the symposium. Wenskovitch provided statistics on software use and development activities by academics, among these that 92% of academics use software and 38% spend at least 20% of their time developing software. Research software engineers (RSE) provide guidance to researchers on software engineering and encourage the use of tools that can save academics time and effort in their development efforts. Wenskovitch suggests identifying and using the strengths of each, with the researcher bringing domain knowledge and expertise on the research itself, and the RSE bringing development experiendocument all the things!ce and software engineering expertise. He provided suggestions for ensuring a fruitful partnership; these include using version control, scheduling time for regular and frequent communication, having a prioritized feature list, testing the code thoroughly using unit, regression, and usability tests, and documenting everything.

photo of Mark WilkinsonMark Wilkinson (DiRAC HPC Facility) spoke next, presenting Research Software Engineering – the DiRAC facility experience. The science requirements for DiRAC demand a 10-40fold increase in computing power to stay competitive, and this increase cannot be delivered solely by hardware. Software vectorization and code efficiency is vital, and RSEs are increasingly important to help with, for example, code profiling, optimization, and porting. DiRAC’s three full-time RSEs are embedded in teams, their time allocated through a peer-review process. Wilkinson showed that the use of RSEs has paid off well for DiRAC, with, for one project, a factor 10 speed-up by optimizing a particular code. The focus on software engineering continued with a talk on Software Engineering Training for Researchers delivered by David Perez-Suarez. He presented information he had gathered by conducting a quick survey to learn, among other things, what software development training researchers had gotten. His recommendations for training include running or attending training taught by The Carpentries, asking that training be conducted in conjunction with a large conference, such as the  American Astronomical Society has been doing for several years, checking to see what software training might be offered by your university, creating your own study group, and contributing to an open source project. James Nightingale (DurhamU, UK) presented a very interesting talk on Test-driven Development in Astronomy. He convinced many in the room that using this technique for developing software will result in better software and less aggravation when coding. He stressed that test-driven development (TDD) is not a testing process, but a development process, and that the code coming out fully tested is a bonus. With TDD, the first task is not to write code, but to write a unit test and then run it to ensure it fails. Only after that do you write the code, and then test it. Through refactoring and testing code, you get instant feedback on whether the code’s functionality has changed, and code design becomes part of the development cycle.

The session then moved on to software sustainability with Bruce Berriman’s (Caltech/IPAC-NExScI, US) talk on Sustaining The Montage Image Mosaic Engine Since 2002. Montage has become increasingly robust and versatile over the years, is embedded in various archives and processing environments, and has been used in other disciplines as well as in astronomy. It has been cited more in information technology literature than in astronomy literature, though uptake of Montage was initially slow. Berriman made the point that design drives sustainability; all Montage releases inherit the design, and each module performs one task. He advocates listening to users and learning from their experiences, and shared his adage that “the grumpier the user, the more valuable the suggestions.”

The last two talks of this first session focused on Python, and covered the growing use of this language in astronomy, the reasons for this growth, the support that is available for the language, and information on one very popular package written in Python. Amruta Jaodand (ASTRON, NL) presented A Walk Through Python Ecosystem, starting with its early development in 1989 by Guido van Rossum at the University of Amsterdam. The advantages of Python include simplicity and natural flow and an extensive, powerful standard library. Strengths of the language include the development of scientific, numerical, and statistical packages and its Python Package Index (PyPi), which enables module and package sharing. Jaodand shared some of the learning materials available for Python, including python4astronomers, and also a lovely Easter egg about Python that is too long to include here and is worth reading. One of the most important astronomy packages is AstroPy, and Jaodand’s talk was followed by The Astropy Project: A community Python library and ecosystem of astronomy packages, presented by Brigitta Sipocz (AstroPy, UK). AstroPy provides software for many common astronomy needs; in addition to the core library, there are many affiliated packages. All of these packages adhere to coding, testing and documentation standards that have been developed by the AstroPy coding community. Sipocz also discussed the community, with members of the team having one or more of its many roles. The number of collaborators continues to grow, and the community welcomes new members, and labels packages that are particularly friendly for a new contributor to work on.

Slides from this session

Software Engineers as Partners in Astronomy Software Development by John Wenskovitch (PDF)

Research Software Engineering – the DiRAC facility experience by Mark Wilkinson (pdf)

Sustaining The Montage Image Mosaic Engine Since 2002 by Bruce Berriman (pdf)

Software Engineering Training for Researchers by David Perez-Suarez (Google doc) | blog post

Test-driven Development in Astronomy by James Nightingale (pdf)

A Walk Through Python Ecosystem by Amruta Jaodand (pdf)

April 2018 additions to the ASCL

Twenty-six codes were added to the ASCL in April 2018:

3DView: Space physics data visualizer
Agatha: Disentangling period signals from correlated noise in a periodogram framework
allantools: Allan deviation calculation
APPHi: Automated Photometry Pipeline for High Cadence, Large Volume Data
ASERA: A Spectrum Eye Recognition Assistant

AstroCV: Astronomy computer vision library
CAT-PUMA: CME Arrival Time Prediction Using Machine learning Algorithms
chroma: Chromatic effects for LSST weak lensing
DaCHS: Data Center Helper Suite
DESCQA: Synthetic Sky Catalog Validation Framework

DPPP: Default Pre-Processing Pipeline
EGG: Empirical Galaxy Generator
FastChem: An ultra-fast equilibrium chemistry
IMNN: Information Maximizing Neural Networks
ipole: Semianalytic scheme for relativistic polarized radiative transport

KSTAT: KD-tree Statistics Package
Lenstronomy: Multi-purpose gravitational lens modelling software package
LFlGRB: Luminosity function of long gamma-ray bursts
LFsGRB: Binary neutron star merger rate via the luminosity function of short gamma-ray bursts
NR-code: Nonlinear reconstruction code

orbit-estimation: Fast orbital parameters estimator
ProFound: Source Extraction and Application to Modern Survey Data
SMERFS: Stochastic Markov Evaluation of Random Fields on the Sphere
surrkick: Black-hole kicks from numerical-relativity surrogate models
UniDAM: Unified tool to estimate Distances, Ages, and Masses

ViSBARD: Visual System for Browsing, Analysis and Retrieval of Data

March 2018 additions to the ASCL

Fifteen codes were added in March 2018:

3D-PDR: Three-dimensional photodissociation region code
CIFOG: Cosmological Ionization Fields frOm Galaxies
DaMaSCUS-CRUST: Dark Matter Simulation Code for Underground Scatterings – Crust Edition
ExoCross: Spectra from molecular line lists
ExtLaw_H18: Extinction law code

FAST: Fitting and Assessment of Synthetic Templates
IMAGINE: Interstellar MAGnetic field INference Engine
Kadenza: Kepler/K2 Raw Cadence Data Reader
LWPC: Long Wavelength Propagation Capability
MulensModel: Microlensing light curves modeling

nanopipe: Calibration and data reduction pipeline for pulsar timing
optBINS: Optimal Binning for histograms
RAPTOR: Imaging code for relativistic plasmas in strong gravity
scarlet: Source separation in multi-band images by Constrained Matrix Factorization
SETI-EC: SETI Encryption Code

Citations over time

How much have things changed? The previous “big 4” journals that had citations to ASCL entries have been joined by AJ and the percentage of citations from MNRAS has dropped a bit, but overall, the wedges of these two piecharts, one from October, 2015 and the second from today, look remarkably similar.

At the time the 2015 piechart was created, ASCL entries had been cited 465 times; today, ADS shows 2093 citations to ASCL entries. Seventeen percent of ASCL entries had been cited in October 2015, and as of today, over 29% of ASCL entries have citations.

Of course there are other ways to cite software, and the ASCL supports all citable methods and ASCL entries include preferred citation information where possible.

Do we list how your software should be cited? If not, please let us know your preferred method and we will add it to the entry!

February 2018 additions to the ASCL

Sixteen codes were added in February 2018:

AntiparticleDM: Discriminating between Majorana and Dirac Dark Matter
ARTIP: Automated Radio Telescope Image Processing Pipeline
astroplan: Observation planning package for astronomers
BHMcalc: Binary Habitability Mechanism Calculator

CMacIonize: Monte Carlo photoionisation and moving-mesh radiation hydrodynamics
collapse: Spherical-collapse model code
eqpair: Electron energy distribution calculator
FAC: Flexible Atomic Code

Glimpse: Sparsity based weak lensing mass-mapping tool
HiGal_SED_Fitter: SED fitting tools for Herschel Hi-Gal data
mrpy: Renormalized generalized gamma distribution for HMF and galaxy ensemble properties comparisons
PyOSE: Orbital sampling effect (OSE) simulator

runDM: Running couplings of Dark Matter to the Standard Model
venice: Mask utility
Verne: Earth-stopping effect for heavy dark matter
VISIBLE: VISIbility Based Line Extraction

December 2017 and January 2018 additions to the ASCL

Sixteen codes were added in December 2017:

Bitshuffle: Filter for improving compression of typed binary data
CosApps: Simulate gravitational lensing through ray tracing and shear calculation
draco: Analysis and simulation of drift scan radio data
FBEye: Analyzing Kepler light curves and validating flares

Flux Tube: Solar model
KDUtils: Kinematic Distance Utilities
LgrbWorldModel: Long-duration Gamma-Ray Burst World Model
MadDM: Computation of dark matter relic abundance

MPI_XSTAR: MPI-based parallelization of XSTAR program
Nyx: Adaptive mesh, massively-parallel, cosmological simulation code
photodynam: Photodynamical code for fitting the light curves of multiple body systems
Py-SPHViewer: Cosmological simulations using Smoothed Particle Hydrodynamics

QATS: Quasiperiodic Automated Transit Search
RODRIGUES: RATT Online Deconvolved Radio Image Generation Using Esoteric Software
SFoF: Friends-of-friends galaxy cluster detection algorithm
SgrbWorldModel: Short-duration Gamma-Ray Burst World Model

And twelve codes were added in January 2018:

BANYAN_Sigma: Bayesian classifier for members of young stellar associations
BOND: Bayesian Oxygen and Nitrogen abundance Determinations
cambmag: Magnetic Fields in CAMB
DecouplingModes: Passive modes amplitudes

DICE/ColDICE: 6D collisionless phase space hydrodynamics using a lagrangian tesselation
GABE: Grid And Bubble Evolver
Gnuastro: GNU Astronomy Utilities
hh0: Hierarchical Hubble Constant Inference

InitialConditions: Initial series solutions for perturbations in our Universe
iWander: Dynamics of interstellar wanderers
RadVel: General toolkit for modeling Radial Velocities
Stan: Statistical inference

Funding for the ASCL

The ASCL will receive funding for two years from NASA’s Astrophysics Data Analysis Program (ADAP) to improve the discoverability of NASA-funded astrophysics research software through the ASCL. The project will run under the direction of Dr. Peter Teuben, PI, and Alice Allen, Co-I, through the University of Maryland, College Park.

Vermeer in DC, just in time for the AAS 231st meeting!

If you are going to the AAS meeting in National Harbor next month, you might consider taking some time to visit the National Gallery of Art for a rare opportunity to view two paintings well-known to Astronomy Picture of the Day (APOD) fans: Vermeer’s luminous The Astronomer and The Geographer. These paintings, owned by the Louvre and the Städelsches Kunstinstitut respectively, are part of the wonderful Vermeer and the Masters of Genre Painting: Inspiration and Rivalry exhibit which runs through January 21, 2018 in the West building of the Gallery.

Why are these two paintings well-known to APOD fans? A mashup of these two paintings appeared on APOD’s first birthday on June 16, 1996; note the introduction of a Hubble image for the painting on the wall:

picture combining Vermeer's The Geographer and The Astronomer paintings into one image, with Hubble's Pillars of Creation appearing on the back wall

APOD for June 16, 1996 (with apologies to Vermeer)

On APOD’s 5th birthday, a new composite of these paintings appeared:

picture combining Vermeer's The Geographer and The Astronomer paintings into one image

APOD for June 16, 2000 (with apologies to Vermeer)

Apparently, a tradition was born, and APOD fans started contributing their own takes on these famous images, as seen below in the 10th birthday image, created by Richard Taillet (Univ. de Savoie, LAPTH, LPNHE) and including a few objects that Vermeer’s astronomer never had the opportunity to view.

APOD for June 16, 2006 (with apologies to Vermeer; composite by Richard Taillet)

The next landmark APOD birthdays featured the image that appeared for the 10th birthday, but with a twist: it was pixelated by APOD fan Rob Stevenson using APOD thumbnail images. The image below does not do this justice, so please click through to the larger image housed on the APOD site to see whether you can find your favorite APOD amongst the ones making up this image.

APOD for June 16, 2016 (with apologies to Vermeer; pixelation by Rob Peterson)

To get back to the art exhibit, Vermeer is not the only painter featured in Genre Painting show, nor is his the only astronomer there. The Geographer and The Astronomer appear on one wall with Gerrit Dou’s Astronomer by Candlelight, owned by the Getty Museum, between them. Paintings by other Dutch artists, including Gerard ter Borch, Caspar NetscherPieter de Hooch, and Jan Steen, are also on display. So many Dutch treats! It’s a lovely exhibit and well worth finding your way to the National Gallery.

You will not have to go to the National Gallery of Art to see the APOD editors, however! Jerry Bonnell and Robert Nemiroff are giving a public talk at the AAS meeting at National Harbor; The Year’s Best Astronomy Images will be held on Tuesday, January 9 starting at 7:00 pm in the Gaylord’s Maryland Ballroom D.

Software events at AAS 231, National Harbor

The Big List o’ Software Stuff for the January AAS meeting is here; it appears software is taking over the world! if I missed anything, please let me know in the comments below. Thank you!

Introduction to Software Carpentry (Day 1), 8:00 AM – 5:30 PM; RiverView Ballroom 2
Hands-on Hierarchical Bayesian Modeling of Cosmic Populations, 9:30 AM – 4:30 PM; Potomac Ballroom 1
Using Python to Search NASA’s Astrophysics Archives, 10:00 AM – 11:30 AM; Potomac Ballroom 2

Introduction to Software Carpentry (Day 2), 8:00 AM – 5:30 PM; RiverView Ballroom 2
Using Python and Astropy for Astronomical Data Analysis, 9:00 AM – 5:00 PM; RiverView Ballroom B
A Data Science Foundation & Roadmap for Astronomy Instructors, 9:00 AM – 6:00 PM; Potomac Ballroom 1

Splinter meeting: Better Data Visualization and Exploration with GLUE, 3:00 PM – 5:00 PM; National Harbor 8 (Note corrected time!)

Poster presentations

Session 150. Computation, Data Handling, Image Analysis Poster Session (39 posters!)

157.02. Evolving R Coronae Borealis Stars with MESA
157.07. Modeling Protoplanetary Disks to Characterize the Evolution of their Structure
157.15. Case Study of Data Mining in Observational Astronomy: The Search for New OB Stars in the Small Magellanic Cloud
144.12. The evolution of a dead zone in a circumplanetary disk
144.17. Modeling a Large Heterogeneous Set of CIRS Spectra of Titan: The ν4 band of 12C2HD
111.02. Dynamical Studies of N-Body Gravity and Tidal Dissipation in the TRAPPIST-1 Star System
111.03. Phase Curve Analysis of Super-Earth 55 Cancri e
111.04. Statistical Analysis of Hubble/WFC3 Transit Spectroscopy of Extrasolar Planets
111.08. Theory and Simulation of Exoplanetary Atmospheric Haze: Giant Spectral Line Broadening
102.02. The Pan-STARRS pipeline and data products
102.03. Precision Photometry and Astrometry from Pan-STARRS
110.01. Resolving the Circumgalactic Medium in the NEPHTHYS Simulations
115.09. Hydrodynamic Modeling of the Deep Impact Mission into Comet Tempel 1
151.04. A Transdimensional Approach to Modeling the Cosmic X-ray Background
151.05. The VLITE Post-Processing Pipeline
151.07. OSIRIS-REx Asteroid Sample Return Mission Image Analysis
147.03. Impact of Fragtal Grains on Protoplanetary Disk Evolution
147.05. Determining Disk Parameters for the Classical Be Star 59 Cyg
147.06. Modeling Protoplanetary Disks
147.09. Characterizing Protoplanetary Disks in a Young Binary in Orion
147.14. Hydrodynamic Simulations of Protoplanetary Disks with GIZMO
153.06. A Search for Cosmic String Loops Using GADGET-2 Cosmological N-Body Simulator
148.04. 3D hydrodynamic simulations of tidal disruption of terrestrial planets around white dwarfs
148.08. BARTTest: Community-Standard Atmospheric Radiative-Transfer and Retrieval Tests
148.13. Modeled 3-D Biosignatures from the Stratospheres of Proxima Centauri b and M-dwarf Planets
148.14. The Exoplanet Characterization ToolKit (ExoCTK)
148.29. Every Cloud has a Silver Lining: Synthesizing Spectra for Exoplanets with Inhomogeneous Aerosol Coverage
149.22. HERA, Methods of Computational Optimization in search for Epoch of Reionization
149.31. A Phenomenological Model of Star Formation Efficiency in Dark Matter Halos
136.02. Simulations of star-forming molecular clouds: observational predictions
158.10. Simulations of Tidally Driven Formation of Binary Planet Systems
158.11. Simulations of Magnetic Flux Emergence in Cool, Low-Mass Stars: Toward Linking Dynamo Action with Starspots
158.16. The Ultracool Typing Kit – An Open-Source, Qualitative Spectral Typing GUI for L Dwarfs
146.01. Binary Model for the Heartbeat Star System KIC 4142768
145.05. Modeling and Analysis of CTIO 1.5m White Dwarf Spectra

Oral presentations

111.02. Dynamical Studies of N-Body Gravity and Tidal Dissipation in the TRAPPIST-1 Star System, 10:10 AM – 10:20 AM, National Harbor 11
111.03. Phase Curve Analysis of Super-Earth 55 Cancri e, 10:20 AM – 10:30 AM, National Harbor 11
111.04. Statistical Analysis of Hubble/WFC3 Transit Spectroscopy of Extrasolar Planets, 10:30 AM – 10:40 AM, National Harbor 11
111.08. Theory and Simulation of Exoplanetary Atmospheric Haze: Giant Spectral Line Broadening, 11:20 AM – 11:30 AM, National Harbor 11
102.02. The Pan-STARRS pipeline and data products, 10:00 AM – 11:30 AM, Potomac C
102.03. Precision Photometry and Astrometry from Pan-STARRS, 10:00 AM – 11:30 AM, Potomac C
110.01. Resolving the Circumgalactic Medium in the NEPHTHYS Simulations, 10:00 AM – 10:10 AM, National Harbor 10
115.06. The Deflector Selector: A Machine Learning Framework for Prioritizing Hazardous Object Deflection Technology Development, 10:50 AM – 11:00 AM, Potomac 1-2
115.09. Hydrodynamic Modeling of the Deep Impact Mission into Comet Tempel 1, 1:20 AM – 11:30 AM, Potomac 1-2
116.01. SVD/MCMC Data Analysis Pipeline for Global Redshifted 21-cm Spectrum Observations of the Cosmic Dawn and Dark Ages, 12:00 PM – 3:30 PM; Woodrow Wilson BCD
128.04. Dynamics as a ‘Red Flag’ in Exoplanetary Science, 2:40 PM – 2:50 PM, National Harbor 11
132.07. Time-Dependent Electron Acceleration in Pulsar Wind Termination Shocks: Application the 2011 April Crab Nebula Gamma-ray Flare, 3:20 PM – 3:30 PM, Potomac 3-4

Special Session: Applied Statistical Methods in Astronomy: Gaussian Processes and Machine Learning
2:00 PM – 3:30 PM; National Harbor 2

Poster presentations
Session 239: Applied Statistical Methods in Astronomy: Gaussian Processes and Machine Learning Poster Session

257.09. Exploring the Internal Dynamics of Globular Clusters
257.11. GalMod: the last frontier of Galaxy population synthesis models
257.22. TYCHO: Simulating Exoplanets Within Stellar Clusters
244.09. The COBAIN (COntact Binary Atmospheres with INterpolation) Code for Radiative Transfer
244.22. Modeling the binary circumstellar medium of Type IIb/L/n supernova progenitors
244.23. Photometric Analysis and Modeling of Five Mass-Transferring Binary Systems
244.26. A Global Three-Dimensional Radiation Hydrodynamic Simulation of a Self-Gravitating Accretion Disk
238.05. The Chandra Source Catalog 2.0: Data Processing Pipelines
246.03. An accessible echelle pipeline and its application to a binary star
246.04. Building Better Planet Populations for EXOSIMS
246.16. Improvements to the Root Finding Algorithm in VBBinaryLensing
258.16. Epoch of Reionization : An Investigation of the Semi-Analytic 21CMMC Code
252.12. Using numerical simulations to study the ICM metallicity fields in clusters and groups
255.01. SkyPlotter: Displaying Source Candidates Near High-Energy Neutrino Events
255.02. A new relativistic model for tidal stream evolution during tidal disruption events
255.05. Modeling Ponderomotive Squeezed Light in Gravitational-Wave Laser Interferometers
255.17. Data Analysis Techniques for LIGO Detector Characterization
243.11. Applying a physical continuum model to describe the broadband X-ray spectra of accreting pulsars at high luminosity
237.03. New Algorithm Identifies Tidal Streams Oriented Along our Line-of-Sight

Oral presentations
Session 213: Computation, Data Science, and Image Analysis 10:00 AM – 11:30 AM; National Harbor 4 (7 presentations)

211.07. Bayesian Analysis of Hot Jupiter Radius Anomalies Points to Ohmic Dissipation, 11:10 AM – 11:20 AM, National Harbor 11
210.06. Figuring Out Gas in Galaxies In Enzo (FOGGIE): Resolving the Inner Circumgalactic Medium, 11:10 AM – 11:20 AM, National Harbor 10
229.03. Forward modelling techniques for spectra retrieval of circumstellar debris disks, 2:30 PM – 2:40 PM, Potomac 5-6
226.03. Cosmological Simulations with Molecular Astrochemistry: Water in the Early Universe, 2:30 PM – 2:40 PM, National Harbor 3
228.05. pyLIMA : The first open source microlensing modeling software, 2:50 PM – 3:00 PM, National Harbor 11

Special Session: Astronomy Software Publishing: Community Roles and Services, 10:00 am – 11:30 am, National Harbor 2
Plenary Talk: Astro Data Science: The Next Generation, 11:40 AM – 12:30 PM; Potomac Ballroom AB

Poster presentations
350.01. Looking for Dust-Scattering Light Echoes
350.03. Studying Dust Scattering Halos with Galactic X-ray Binaries
350.05. Markov Chain Models for Stochastic Behavior in Resonance Overlap Regions
340.13. Simulating Supernovae Driven Outflows in Dwarf Galaxies
355.27. Stellar Atmospheric Modelling for the ACCESS Program
351.02. Calculating the n-point correlation function with general and efficient python code
348.12. A Comparison of Mixing in Stellar Evolution Codes Tycho and Geneva
362.08. What Time is Your Sunset? Accounting for Refraction in Sunrise/set Prediction Models
362.09. SpecTracer: A Python-Based Interactive Solution for Echelle Spectra Reduction
362.11. Generative Models in Deep Learning: Constraints for Galaxy Evolution
362.16. Statistical tools for analysis and modeling of cosmic populations and astronomical time series: CUDAHM and TSE
338.04. Simulating nanostorm heating in coronal loops using hydrodynamics and non-thermal particle evolution
338.06. Modeling Solar Atmospheric Phenomena with AtomDB and PyAtomDB

Oral presentations
334.01. Modeling the photo-polarimetric characteristics of brown dwarfs, 2:00 PM – 2:10 PM, Maryland 1-2
334.04. 3D Realistic Radiative Hydrodynamic Modeling of a Moderate-Mass Star: Effects of Rotation, 2:40 PM – 2:50 PM, Maryland 1-2

Workshop: Hack Together Day, 10:00 am ‐ 7:00 pm, National Harbor 13 (Info and registration)

Special Session: Statistical, Mathematical and Computational Methods for Astronomy (ASTRO): SAMSI 2016-17, 10:00 am – 11:30 am, Grapevine 2

Poster presentations
434.08. Modeling the Effects of Asynchronous Rotation on Secondary Eclipse Timings in HW VIr Binaries
436.05. Real-time Automatic Search for Multi-wavelength Counterparts of DWF Transient
436.16. CosmoQuest Transient Tracker: Opensource Photometry & Astrometry software
437.04. Impact of Ice on Evolution of Protoplanetary Disks and Formation of Planetary Systems
438.02. Tests of Catastrophic Outlier Prediction in Empirical Photometric Redshift Estimation with Redshift Probability Distributions
438.04. Confronting Alternative Cosmological Models with the Highest-Redshift Type Ia Supernovae
439.09. TESS Data Processing and Quick-look Pipeline
439.10. PyKE3: data analysis tools for NASA’s Kepler, K2, and TESS missions
439.18. Open-source Software for Exoplanet Atmospheric Modeling
439.22. Gaussian Process Noise Modeling with RadVel: a Case Study of HD 3167
439.23. Developing Tighter Constraints on Exoplanet Biosignatures by Modeling Atmospheric Haze
440.12. The Effects of Accretion Disk Thickness on the Black Hole Reflection Spectrum
441.03. Large Scale Structure in CHILES using DisPerSE
444.13. Teaching Astronomy and Computation with Gaia: A New Curriculum for an Extra-curricular High School Program
447.12. The Data Calibration Pipeline for JWST/NIRSpec
448.02. Kinematics of Globular Cluster: new Perspectives of Energy Equipartition from N-body Simulations
448.05. Improved Membership Probability for Moving Groups: Bayesian and Machine Learning Approaches
449.10. Employing Machine-Learning Methods to Study Young Stellar Objects
453.09. PINT, A Modern Software Package for Pulsar Timing
428.03. Identifying Likely Disk-hosting M dwarfs with Disk Detective
426.07. Observing Galaxy Mergers in Simulations
426.08. A new 3-D View of Ionized Gas Conditions in Galaxies
424.01. Constraining Population Synthesis Models of Compact Binary Mergers using Supernova Observations

Oral presentations
405.04. Radiation Transport in Dynamic Spacetimes, 10:40 AM – 10:50 AM, Maryland C
412.02.D Illuminating the star clusters and satellite galaxies with multi-scale baryonic simulations, 10:10 AM – 10:30 AM, National Harbor 4
406.01. Phase-space Analysis in the Group and Cluster Environment: Introduction and Application, 10:00 AM – 10:10 AM, Maryland D
406.05. Gas Dynamics in the Fornax Cluster: Viscosity, turbulence, and sloshing, 11:00 AM – 11:10 AM, Maryland D
409.04D. A Modern Picture of Barred Galaxy Dynamics, 10:40 AM – 11:00 AM, National Harbor 10
408.03D. Multidimensional pair-instability supernova simulations and their multi-messenger signals, 10:20 AM – 10:40 AM, National Harbor 3

Also of likely interest is the oral presentation on “Big Data” Teen Astronomy Cafes at NOAO that will take place on Wednesday, 10 January from 10:10 AM – 10:20 AM in Maryland 1-2.