activity
20202026
most citedThe Eighteenth Data Release of the Sloan Digital Sky Surveys: Targeting and First Spectra from SDSS-V

282 citations · 731 across the 39 of their papers we have counts for

collaborators

40 papers

astro-ph.GA2026

Spatially-Resolved Spectra of Diffuse Galactic Light using 10.8 M DESI Sky Fibers

Andrew K. Saydjari, Bruce T. Draine, Timothy D. Brandt +49

Using 10.8 million ``blank'' sky spectra from the DESI Year 3 dataset, we measure the diffuse galactic light (DGL) spectrum in the optical at spectral resolution by c…

astro-ph.GA2026

The Twentieth Data Release of the Sloan Digital Sky Survey: First All-Sky BOSS Spectra, eROSITA-SDSS-V Mapper Coordinated Observations, and a Preview of the Local Volume Mapper

SDSS Collaboration, Mojgan Aghakhanloo, David Aguilar +273

This paper presents the twentieth data release (DR20) from the Sloan Digital Sky Survey, the third data release of its fifth generation (SDSS-V). SDSS-V is a panoptic spectroscopy…

astro-ph.SR2026

Payne4GAIN: NLTE Corrections for Red Giants in Milky Way Mapper using H-Band Neural Network Emulators

Pierre Thibodeaux, Alexander P. Ji, Nicholas Storm +12

The majority of spectroscopic surveys assume local thermodynamic equilibrium (LTE) during the modeling of stellar spectra. This assumption begins to break down for luminous stars,…

astro-ph.IM2026

Deep Learning for Astrophysics: An Open Textbook from the NASA Cosmic Origins AI/ML Science and Technology Interest Group

Yuan-Sen Ting, Digvijay Wadekar, Phill Cargile +21

Recent community assessments identify education as a principal barrier to adopting modern machine learning in astronomy. We present Deep Learning for Astrophysics, a freely availab…

cs.LG2026

Interleaved Noise Injection Improves Clean, Corrupted, and OOD Performance

Matt L. Wiemann, Peter Melchior, Andrew K. Saydjari

Noise injection is a well-known technique in stochastic optimization. We report its surprising effectiveness with an interleaved (on-off-on-off...) rather than the usual monotonic…

astro-ph.GA2026★ 1 cited

The 3D Structure and Kinematics of the Local Disk-Halo Interface: Intermediate-velocity Clouds are the Minority of High-altitude Clouds in the Solar Neighborhood

Theo J. O'Neill, Andrew K. Saydjari, Catherine Zucker +4

Studies of the Milky Way's disk-halo interface have historically identified inflowing and outflowing gas incompatible with disk rotation on the basis of radial velocity, leading to…

astro-ph.GA2026

Summary of Discussion Sessions from "The Dusty Universe 2025: The Fifth Pandust Conference"

Marjorie Decleir, Karl D. Gordon, Annalisa De Cia +16

"The Dusty Universe: The Fifth Pandust Conference" took place in Tucson (AZ, USA) from November 10 until 14, 2025. The goal of this meeting was to get the dust community together t…

astro-ph.GA2026

The radial component of the local Galactic magnetic field in 3D

Lewis McCallum, Philipp Frank, Sebastian Hutschenreuter +9

We present a distance-resolved reconstruction of the local line-of-sight Galactic magnetic field, , by combining a 3D electron density () map derived from dust map-i…

astro-ph.IM2026

A Path to an All-Sky Survey with Roman

Jiwon Jesse Han, Anirudh Chiti, Kai-Feng Chen +93

A deep, space-based, all-sky near-infrared survey carried out with the Nancy Grace Roman Space Telescope would constitute a foundational astronomical infrastructure for decades to…

astro-ph.SR2026

A constrained linear model for continuum normalization of stellar spectra

Andrew R. Casey, Adam Wheeler, Megan Bedell +3

Inferring stellar parameters and chemical abundances by forward modeling stellar spectra usually requires a spectral synthesis code, or an emulator constructed from a curated train…

astro-ph.IM2026

Optimal and Unbiased Fluxes from Up-the-Ramp Detectors under Variable Illumination

Bowen Li, Kevin A. McKinnon, Andrew K. Saydjari +6

Near-infrared (NIR) detectors -- which use non-destructive readouts to measure time-series counts-per-pixel -- play a crucial role in modern astrophysics. Standard NIR flux extract…

astro-ph.IM2025

The MDW Hα Sky Survey: Data Release 1

Noor Aftab, Xunhe, Zhang +7

The Mittelman-di Cicco-Walker (MDW) H Sky Survey is an autonomously-operated all-sky narrow-band (3nm) H imaging survey. The survey was founded by amateur astronomers and the…

astro-ph.GA2025

Unified Spectrospatial Forward Models: Spatially Continuous Maps of Weak Emission Lines in the Rosette Nebula with SDSS-V LVM

Thomas Hilder, Andrew R. Casey, Julianne J. Dalcanton +14

Analyses of IFU data are typically performed on a per-spaxel basis, with each spectrum modelled independently. For low signal-to-noise (S/N) features such as weak emission lines, e…

astro-ph.SR2025

The Importance of Standardizing Spectra in the Era of Large Spectroscopic Surveys: A Case Study of M Dwarfs in SDSS-V

Ilija Medan, Zachary Way, Bárbara Rojas-Ayala +8

SDSS-V will obtain 100,000s of medium-resolution, optical spectra of M dwarfs with the BOSS instrument. M dwarfs have complex atmospheres, and their spectra contain many wide and d…

astro-ph.GA2025★ 1 cited

The large-scale kinematics of young stars in the Milky Way disc: first results from SDSS-V

Eleonora Zari, Jaime Villaseñor, Marina Kounkel +17

We present a first large-scale kinematic map of 50,000 young OB stars ( K), based on BOSS spectroscopy from the Milky Way Mapper OB program in the on…

astro-ph.GA2025

An SDSS-V 3D Tomographic Na I Map of the ISM: An Initial Study Towards the Smith Cloud

Timothy McQuaid, Joseph N. Burchett, Kate H. R. Rubin +7

High velocity clouds supply the Milky Way with gas that sustains star formation over cosmic timescales. Precise distance measurements are therefore essential to quantify their mass…

astro-ph.GA2025★ 6 cited

Mapping the Distant and Metal-Poor Milky Way with SDSS-V

Vedant Chandra, Phillip A. Cargile, Alexander P. Ji +28

The fifth-generation Sloan Digital Sky Survey (SDSS-V) is conducting the first all-sky low-resolution spectroscopic survey of the Milky Way's stellar halo. We describe the stellar…

astro-ph.GA2025★ 1 cited

The Open Cluster Chemical Abundances and Mapping Survey: VIII. Galactic Chemical Gradient and Azimuthal Analysis from SDSS/MWM DR19

Jonah M. Otto, Peter M Frinchaboy, Natalie R. Myers +16

The Open Cluster Chemical Abundances and Mapping (OCCAM) survey seeks to curate a large, comprehensive, uniform dataset of open clusters and member stars to constrain key Galactic…

astro-ph.GA2025

Correlations between Dust Extinction Features across All Wavelength Scales: From Diffuse Interstellar Bands to R(V)

Andrew K. Saydjari, Gregory M. Green

Understanding variations in the dust extinction curve is imperative for using dust as a tracer of local structure in the interstellar medium, understanding dust chemistry, and obse…

astro-ph.GA2025★ 8 cited

The Nineteenth Data Release of the Sloan Digital Sky Survey

SDSS Collaboration, Gautham Adamane Pallathadka, Mojgan Aghakhanloo +210

Mapping the local and distant Universe is key to our understanding of it. For decades, the Sloan Digital Sky Survey (SDSS) has made a concerted effort to map millions of celestial…

astro-ph.IM2025★ 3 cited

Sloan Digital Sky Survey-V: Pioneering Panoptic Spectroscopy

Juna A. Kollmeier, Hans-Walter Rix, Conny Aerts +217

The Sloan Digital Sky Survey-V (SDSS-V) is pioneering panoptic spectroscopy: it is the first all-sky, multi-epoch, optical-to-infrared spectroscopic survey. SDSS-V is mapping the s…

astro-ph.SR2025★ 1 cited

SDSS-V Milky Way Mapper (MWM): ASPCAP Stellar Parameters and Abundances in SDSS-V Data Release 19

Szabolcs Mészáros, Paula Jofré, Jennifer A. Johnson +25

The goal of this paper is to describe the science verification of Milky Way Mapper (MWM) APOGEE Stellar Parameter and Chemical Abundances Pipeline (ASPCAP) data products published…

astro-ph.IM2025

Bayesian Component Separation for DESI LAE Automated Spectroscopic Redshifts and Photometric Targeting

Ana Sofía M. Uzsoy, Andrew K. Saydjari, Arjun Dey +37

Lyman Alpha Emitters (LAEs) are valuable high-redshift cosmological probes traditionally identified using specialized narrow-band photometric surveys. In ground-based spectroscopy,…

astro-ph.SR2025

Deriving Stellar Properties, Distances, and Reddenings using Photometry and Astrometry with BRUTUS

Joshua S. Speagle, Catherine Zucker, Angus Beane +18

We present brutus, an open source Python package for quickly deriving stellar properties, distances, and reddenings to stars based on grids of stellar models constrained by photome…