Calendar

Aug
21
Fri
All Department meeting
Aug 21 @ 3:00 pm – 4:00 pm
All Department meeting @ Online

Department “all-hands” meeting

Sep
4
Fri
Colloquium:Inclusive Astronomy
Sep 4 @ 3:00 pm – 4:00 pm
Colloquium:Inclusive Astronomy @ BX102

NMSU Inclusive Astronomy

Inclusive Astronomy group, NMSU

Sep
11
Fri
Colloquium: Simon Casassus (Host: Wlad Lyra)
Sep 11 @ 3:00 pm – 4:00 pm
Colloquium: Simon Casassus (Host: Wlad Lyra) @ BX102

Protoplanetary disk rotation curves and the kinematic detection of protoplanets

Simon Casassus, Universidad de Chile

Direct detections of protoplanets still embedded in a gaseous protoplanetary disk have been remarkably elusive in their thermal-IR radiation. Yet most models for the structures observed in disks involve planet/disk interactions. The gas and dust density fields are thus appealing proxies to trace embedded bodies, but they are not sufficient to ascertain a planetary origin. New hopes for protoplanet detection come from the disk kinematics, which should also bear their dynamical imprint. The last couple of years have seen the first indirect detection of protoplanets, with the observation of small deviations from Keplerian rotation in molecular line channel maps, and their reproduction in hydrodynamical simulations. Can we use the gas kinematics directly to pin-point the location and measure the dynamical mass of giant planets? The theoretical velocity reversal along the wakes of a protoplanet should be observable as a Doppler-flip, provided that the background flow is adequately subtracted. This axially symmetric flow is a generalized rotation curve, including also the radial and vertical velocity components, which bear the imprint of accretion, winds, and of the theoretical meridional flows in the case of planet/disk interactions. I will present a technique to calculate disk rotation curves, with applications to ALMA long baseline data in HD100546 and in HD163296.

Sep
18
Fri
Writing Group
Sep 18 @ 1:00 pm – 1:30 pm
Colloquium: Nikole Nielsen (Host: Chris Churchill)
Sep 18 @ 3:00 pm – 4:00 pm
Colloquium: Nikole Nielsen (Host: Chris Churchill) @ online

The Circumgalactic Medium at Cosmic Noon with KCWI

Nikole Nielsen, Swinburne University of Technology

The star formation history of the universe reveals that galaxies most actively build their stellar mass at cosmic noon (z=1-3), roughly 10 billion years ago, with a decrease toward present-day. The resulting metal-enriched material ejected from these galaxies due to supernovae and stellar feedback is deposited into the circumgalactic medium (CGM), which is a massive reservoir of diffuse, multiphase gas out to radii of 200 kpc. The CGM is the interface between the intergalactic medium and the galaxy, through which accreting filaments of near-pristine gas must pass to contribute new star formation material to the galaxy and outflowing gas is later recycled. Simulating these baryon cycle flows is crucial for accurately modeling galaxy evolution. While the CGM is well-studied at z<1, little attention has been paid to the reservoir when star formation is most active due to the difficulty in identifying the host galaxies. The installation of the Keck Cosmic Web Imager (KCWI), an integral field spectrograph, on Keck II has opened a new window to quickly identify galaxies via their Lyman alpha emission at this redshift. I will introduce a new survey to build a catalog of absorber-galaxy pairs at z=2-3 with KCWI. With the combination of HST images, high-resolution quasar spectra, and the cutting-edge KCWI data, this survey aims to examine CGM kinematics and metallicities and relate them to the host galaxy star formation rates and orientations to reveal the baryon cycle at cosmic noon. https://nmsu.zoom.us/j/96153330256

Sep
25
Fri
Writing Group
Sep 25 @ 1:00 pm – 1:30 pm
Colloquium: Lauren Kahre (Host: Rene Walterbos)
Sep 25 @ 3:00 pm – 4:00 pm
Colloquium: Lauren Kahre (Host: Rene Walterbos) @ Online

Transitioning to Industry from Academia,

Lauren Kahre

A common career path for recent astronomy graduates with a PhD is data science, but it can be difficult to parse through the enormous amount of information on how exactly to transition to this career. I graduated from NMSU in 2019 and transitioned immediately to an industry career in data science. This talk will be a quick background on my career path, how students can get into data science, and what an industry career in data science actually looks like day-to-day.

https://nmsu.zoom.us/j/96153330256

Sep
28
Mon
Pizza Lunch (Virtual): Nancy Chanover
Sep 28 @ 12:30 pm – 1:30 pm
Pizza Lunch (Virtual): Nancy Chanover @ Online

Notes from the Field: Technology Demonstration Adventures

Nancy Chanover, NMSU

Oct
2
Fri
Writing Group
Oct 2 @ 1:00 pm – 1:30 pm
Oct
5
Mon
Pizza Lunch (Virtual): Cat Fielder
Oct 5 @ 12:30 pm – 1:30 pm
Pizza Lunch (Virtual): Cat Fielder @ Online

A UV to IR Portrait of the Milky Way

Cat Fielder, University of Pittsburgh

Understanding where the Milky Way fits in amongst the broader galaxy population is critical for bridging the gap between detailed studies that are within our own galaxy (via SDSS-IV APOGEE and SDSS V Milky Way Mapper for example) and the observed trends in external galaxies (via MaNGA for example). Our previous work on using Milky Way analog galaxies in SDSS to predict the Milky Way’s optical colors used just two properties to define analogs (stellar mass and star formation rate), but there are other properties useful for selecting analogs (e.g., disk scale length or axis ratio). However, the number of analog galaxies rapidly approaches zero as more selection properties are included. To address this issue, I present a new method using Gaussian Process Regression that allows for consideration of up to six parameters simultaneously while still giving robust predictions of broad-band fluxes. I will present results using these improved methods on the color and luminosity of the Milky Way, and will demonstrate how the inferred properties of the Milky Way compare to transitional/green valley populations. I find that the Milky Way is still experiencing  enough star formation to appear more blue than the green valley in both the ultraviolet and infrared.