From 0263c5196400b3c361d1d0c5334a80f9b64502b3 Mon Sep 17 00:00:00 2001 From: Tim Date: Fri, 15 Sep 2023 10:58:15 -0700 Subject: [PATCH] link update --- assets/files/Krause_CV_2022_3p.pdf | Bin 200546 -> 0 bytes assets/files/Krause_CV_short.pdf | Bin 0 -> 179303 bytes assets/theme/js/script.js | 2 +- events_weekly.html | 2 +- faculty.html | 4 +- history/project-230915105519.mobirise_history | 6792 +++++++++++++++++ index.html | 2 +- opportunities.html | 2 +- page8.html | 2 +- postdocs.html | 2 +- project.mobirise | 2 +- science.html | 2 +- screenshot.png | Bin 440666 -> 544596 bytes students.html | 2 +- 14 files changed, 6803 insertions(+), 11 deletions(-) delete mode 100644 assets/files/Krause_CV_2022_3p.pdf create mode 100644 assets/files/Krause_CV_short.pdf create mode 100644 history/project-230915105519.mobirise_history diff --git a/assets/files/Krause_CV_2022_3p.pdf b/assets/files/Krause_CV_2022_3p.pdf deleted file mode 100644 index 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Landing Page Maker
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HTML Code Generator
diff --git a/faculty.html b/faculty.html index fb9198b..7208f50 100644 --- a/faculty.html +++ b/faculty.html @@ -80,7 +80,7 @@
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Elisabeth Krause
Associate Professor of Astronomy
Associate Professor of Physics

CV (pdf)

I am broadly interested in data-driven cosmology, and I like to combine theoretical modeling with with detailed understanding of cosmological data sets and new statistical techniques. I also like to think about novel probes, such as cosmic voids and higher-order statistics.

+

Elisabeth Krause
Associate Professor of Astronomy
Associate Professor of Physics

CV (pdf)

I am broadly interested in data-driven cosmology, and I like to combine theoretical modeling with with detailed understanding of cosmological data sets and new statistical techniques. I also like to think about novel probes, such as cosmic voids and higher-order statistics.

@@ -216,7 +216,7 @@
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HTML Code Generator
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Easiest Website Builder
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Vera Rubin Observatory
Legacy Survey of Space and Time (LSST)
Dark Energy Science Collaboration (DESC)

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Rubin Observatory's LSST will commence science operations for the main survey in 2024, imaging more than 18,000 square degrees in 6 optical bands to an unprecendented depth over the following 10 years. Already the LSST Year 1 data will cover ~15,000 deg^2 to i-mag 24.3, a fantastic data set for cosmological discoveries. Learn more about LSST...

The DESC is one of the LSST science collaborations and its main target is to address the mystery of cosmic acceleration, i.e. the fact that the expansion of the Universe is accelerating. Discovered in 1998, cosmic acceleration (frequently termed dark energy) remains an unexplained fundamental physics problem, which might hint at a new energy density component or at modifications to our understanding of gravity. Our lab is deeply involved in DESC science preparation and planning and several cosmology projects are centered around LSST data. Learn more about DESC...

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Nancy Grace Roman Space Telescope

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The Roman Space Telescope is a NASA observatory with multiple science goals ranging from dark energy, galaxy formation, astrophysics, to exoplanets. The telescope has a 2.4m primary mirror, which is the same size as the Hubble Space Telescope's primary mirror, but it can image 100x the area of a Hubble image. Scheduled for launch in 2025/26 it has a primary mission of 5 years, which can be extended based on community science interests.   
Roman's cosmology survey is composed of a wide-field imaging, a wide-field spectroscopic, and a supernova component. The combination of multi-band space-based imaging and deep grism spectroscopy will allow for exquisite systematics control for weak lensing, galaxy clustering, and galaxy clusters based probes. 
Learn more about Roman ST. 

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Spectro-Photometer for the History of the Universe, Epoch of Reionization and Ices Explorer (SPHEREx)

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\n The SPHEREx mission, part of NASA's Explorer Program, will explore the beginning of the universe, the history of galaxy formation, and the role of interstellar ices during the birth of new stars and planets, while providing a unique all-sky data set for astronomy. It will survey the entire sky four times in optical and infrared light, capturing detailed spectral information about hundreds of millions of stars and galaxies. The two-year mission funded at $242 million (not including launch costs) is targeted to launch in 2024. Learn more about SPHEREx

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CMB-S4

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Ongoing and future CMB experiments (ACT, SPT, Simons Observatory and ultimately CMB-S4) are ideal datasets to combine and contrast with galaxy redshift surveys. Differences between primary CMB probes, such as temperature and polarization, and large-scale structure probes such as weak lensing and galaxy clustering can reveal tensions in our model.

CMB lensing and its cross-correlations with weak lensing and galaxy clustering allow for significantly tighter constraints on our cosmological models and on astrophysical phenomena.  

Learn more about CMB-S4...

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\n Dark Energy Spectroscopic Instrument (DESI)

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The Dark Energy Spectroscopic Instrument (DESI) will map the 3-dimensional distribution of 10s of millions of galaxies thereby constraining the effects of dark energy on the geometry and growth of structures of the Universe matter density field.  The DESI instrument will implement a new highly multiplexed optical spectrograph on the Mayall Telescope at Kitt Peak National Observatory, 55 miles from Tucson. A new optical corrector design creates a very large, 8.0 square degree field of view on the sky. The focal plane accommodates 5,000 small computer controlled fiber positioners, which can be reconfigured for the next exposure in less than two minutes while the telescope slews to the next field.  Learn more about DESI

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\n Dark Energy Survey (DES)

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\n The DES has completed its survey operations in 2019 and has imaged 5,000 square degrees of the night sky in 5 optical bands to a depth of i-mag ~24. The DES Collaboration is focussing on the science analyses of this exciting data set and will continously publish results in cosmology, galaxy formation, transients, Milky Way, and Solar System science over the coming years.
DES data provides an exciting opportunity to explore cosmic acceleration now and it is an ideal testing ground for the LSST analysis, in particular for LSST Year 1, which is comparable in depth to DES.  Learn more about DES...

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Graduate Students

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\n Mobirise is a free offline app for Windows and Mac to easily create small/medium websites, landing\n pages, portfolios. 3500+ beautiful website blocks, templates and themes help you to start easily.\n

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ACL Students

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Joe Adamo
Graduate Student in Astronomy
(Advisor: Tim Eifler)

I work on covariance estimation and power spectrum modeling for the data analysis of the SPHEREx mission. 

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Paul Rogozenski
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Graduate Student in Physics (Advisor: Elisabeth Krause)
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ACL Students

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Yu-Hsiu Huang
Graduate Student in Astronomy
(Advisor: Elisabeth Krause)

I am interested in observational cosmology and extragalactic astronomy. I am now working on understanding the environmental effects on Tully-Fisher relation with IllustrisTNG simulations.

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Paul Rogozenski
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Graduate Student in Physics (Advisor: Elisabeth Krause)
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ACL Students

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Annie Moore
Graduate Student in Physics  
(Advisor: Elisabeth Krause)

I work on theoretical modeling for power spectra extracted from the SPHEREx mission. 

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Paul Rogozenski
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Graduate Student in Physics (Advisor: Elisabeth Krause)
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ACL Students

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Paul Rogozenski
Graduate Student in Physics  
(Advisor: Elisabeth Krause)

I am interested in theoretical cosmology and interpreting cosmological observations from the Dark Energy Survey. Currently I work on metrics to quantify whether different cosmological probes are in tension, or consistent with each other.

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Paul Rogozenski
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Graduate Student in Physics (Advisor: Elisabeth Krause)
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Pranjal Singh
Graduate Student in Astronomy
  (Advisor: Elisabeth Krause)

I'm interested in observational cosmology. Currently, I'm working on identifying Kinematic Lensing (KL) in galaxies using simulations and spectroscopic/imaging data from Keck, LBT and HST.

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Paul Rogozenski
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Graduate Student in Physics (Advisor: Elisabeth Krause)
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ACL Students

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Jiachuan Xu
Graduate Student in Astronomy  
(Advisor: Tim Eifler)

I work on Kinematic Lensing (KL), a new idea to combine spectroscopic and imaging information that enables us to use the distortion of galaxy shapes by the gravitational potential of large-scale structure to constrain cosmology. I explore whether KL can be used with the instrumentation of the Roman Space Telescope mission.

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Paul Rogozenski
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Graduate Student in Physics (Advisor: Elisabeth Krause)
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Undergraduate Students

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Aaron Huhges
Major: Astronomy
(Advisor: Tim Eifler )
I work on Machine Learning shape measurements methods using the galsim software. 

Sai Krishanth Pulikesi Mannan
Major: Astronomy (Advisor: Tim Eifler)
I work on data analysis with the Dark Energy Survey and quantify the most important systematics contributions to the error budget.

Nick Sand
Major: Physics (Advisor: Eduardo Rozo )
I am developing code to do numerical calibrated jackknives with no randoms in numerical simulations to enable fast computation of clustering statistics, including error bars.

Adam Skora
Major: Physics
(Advisor: Eduardo Rozo )
I use multi-wavelength data to characterize the selection function of photometrically selected and SZ-selected galaxy clusters.

Paxton Tamooka
Major: Physics
(Advisor: Eduardo Rozo)
I am studying the velocity structure of satellite galaxies in massive galaxy clusters.

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Pier Fiedorowicz
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Graduate Student in Physics (Advisor: Eduardo Rozo)
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\n Arizona Cosmology Lab

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\n We are interested in exploring dark energy, dark matter, modified gravity, and galaxy formation through a mix of observations, simulations, and analytical calculations. Our home insitution is the University of Arizona (Astronomy and Physics Departments).

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"opacity": "0", + "overflow": "hidden", + "display": "block", + "height": "0", + "visibility": "hidden", + "padding": "0", + "transition-duration": ".5s", + "transition-property": "opacity, padding, height" + }, + "&.open > .dropdown-menu": { + "position": "relative", + "opacity": "1", + "height": "auto", + "padding": "1.4rem 0", + "visibility": "visible" + }, + ".dropdown-submenu": { + "left": "0", + "text-align": "center", + "width": "100%" + }, + ".dropdown-toggle[data-toggle=\"dropdown-submenu\"]::after": { + "margin-top": "0", + "position": "inherit", + "right": "0", + "top": "50%", + "display": "inline-block", + "width": "0", + "height": "0", + "margin-left": ".3em", + "vertical-align": "middle", + "content": "\"\"", + "border-top": ".30em solid", + "border-right": ".30em solid transparent", + "border-left": ".30em solid transparent" + } + } + }, + "@media (min-width: 767px)": { + ".menu-logo": { + "flex-shrink": "0", + "-webkit-flex-shrink": "0" + } + }, + ".navbar-collapse": { + "flex-basis": "auto", + "-webkit-flex-basis": "auto" + }, + ".nav-link:hover, .dropdown-item:hover": { + "color": "@itemsHoverColor !important" + } + }, + "_name": "menu1", + "_sourceTheme": "mobirise4", + "_customHTML": "
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\n \"Mobirise\"\n
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Multiprobe Cosmology 

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We combine different cosmological probes and datasets to explore fundamental physics in the Universe. 

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Kinematic Lensing

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KL combines imaging and spectroscopic data into a new type of shear inference. It is a promising avenue for cosmological measurements.

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\n Inflation 

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\n The NASA SPHEREx satellite mission will constrain the physics of inflation, a rapid expansion of space, in the early Universe.

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\n Machine Learning

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We use ML to accelerate complex calculations of cosmological models and to learn features in large datasets.

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Multi-Probe Cosmology - Exploring the Universe with cosmological surveys

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Our lab is interested in exploring fundamental physics questions about our Universe, dark energy, dark matter, gravity, neutrino mass, and inflation:

1) What is the underlying physical mechanism driving the accelerated expansion of the Universe?
2) What is the mass and number of neutrino species?
3) What is the nature of dark matter and the connection of dark matter overdensities and galaxy formation?
4) Is General Relativity a complete description of our theory of gravity or does it need to be modified as a function of the environment or the distances involved?
5) Can we measure the physics of inflation, i.e. of the very first second when the Universe began?

We explore these questions through a combination of theoretical modeling and statistical data analysis.

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Selected papers on Rubin's LSST led by or with major contributions from the ACL

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Selected papers on the Roman Space Telescope led by or with major contributions from the ACL

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Kinematic Lensing (KL)

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Weak lensing measurements are extremely challenging: the shear effect is degenerate with the unobservable intrinsic galaxy shape (with shape dispersion σ_ε~0.25). This corresponds to a S/N ~ 0.01 per galaxy and makes traditional weak lensing a statistical measurement that requires averaging over large numbers of background galaxies.
Kinematic lensing breaks the shape-shear degeneracy by combining imaging and spectroscopic data into a new type of lensing inference.
Spiral galaxies exhibit disk rotation patterns with a circular velocity that can be inferred from the easily observable galaxy luminosity (Tully-Fisher relation, Huff et al. 2013). Spectroscopic measurements of the rotation velocity of a disk galaxy enable us to infer the unobservable intrinsic galaxy shape in weak lensing measurements and measure shear on a per-galaxy basis.

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Kinematic Lensing (KL) - Basic Concepts

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\n Beautiful mobile websites\n

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The basic idea for the kinematic lensing is depicted on the right. In an image, an inclined rotating circular disk has elliptical isophotes. When the image of this galaxy is sheared, the isophotes remain elliptical (in the weak shear limit, |g| << 1) with a new axis ratio and position angle. New photometric axes are inferred from this ellipse in the sheared image, and information about the original axes is lost. The case is different however, with galaxy kinematics measured via spectroscopy. The unsheared circular disk has kinematic axes that are perpendicular to one another and are aligned with the unsheared photometric axes. This cross shape becomes skewed when the velocity map is sheared; the kinematic axes are no longer perpendicular and they are misaligned with the photometric axes inferred from the sheared isophotal ellipse in the imaging data.

The fact that the velocity map transforms differently than the photometric image when shear is applied can be used to combine imaging and spectroscopic information to tightly constrain the intrinsic ellipticity of the source galaxies, thereby removing the largest statistical uncertainty in cosmic shear.

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Kinematic Lensing - Roman Space Telescope

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In Xu et al 2023 we explore the KL concept in the context of the Roman Space Telescope and find that it would significantly boost the cosmological information compared to the Roman traditional WL measurement. We note that KL and WL are complementary since the underlying galaxy samples are fundamentally different.


The figure to the right shows the improvement of KL (blue contours) with Roman ST over WL with Roman ST (black solid), which translates into an improvement of a factor of 3.65 in the relevant figure-of-merit, even though the KL galaxy sample is > a factor of 10 smaller.  

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Kinematic Lensing - Pilot Measurement

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To demonstrate the KL technique, the ACL team has developed an analysis pipeline for long-slit spectroscopic data. Per galaxy we fit 11 model parameters: maximum circular velocity, galaxy systemic velocity, galaxy inclination, image half-light radius, spectrum half-light radius, velocity scale radius, central brightness, and disk scale height. Pranjal RS et al. 2023 demonstrated unbiased shear inference on simulated data and provide our most realistic shape noise estimates for KL (c.f. figure on the right).
We are currently applying this KL inference pipeline to Keck DEIMOS spectra of source galaxies in the Abel 2261 field for a pilot measurement.

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", + "_anchor": "header3-9y", + "_isUserblock": true, + "_cid": "tP4bNW3iCZ", + "_protectedParams": [], + "_global": false, + "_once": false, + "_params": {} + }, + { + "alias": false, + "_styles": { + "padding-top": "(@paddingTop * 1rem)", + "padding-bottom": "(@paddingBottom * 1rem)", + "background-color": "@bgColor", + ".counter-container": { + "ul": { + "margin": "0", + "list-style": "none", + "padding-left": "2.5rem", + "li": { + "margin-bottom": "1rem", + "position": "relative", + "& when (@stylizedCounters)": { + "list-style": "none", + "position": "relative", + "padding-left": "1rem", + "&:before": { + "position": "absolute", + "left": "-40px", + "content": "\"\"", + "display": "flex", + "justify-content": "center", + "align-items": "center", + "color": "contrast(@iconColor)", + "background-color": "@iconColor", + "width": "40px", + "height": "40px", + "border-radius": "50%", + "margin-top": "5px", + "& when (@countersType = \"circle\")": { + "background": "none", + "border": "1px solid @iconColor", + "color": "@iconColor" + }, + "& when (@countersType = \"square\")": { + "border-radius": "0" + }, + "& when (@mark)": { + "content": "\"✓\"" + } + } + }, + "& when not (@stylizedCounters)": { + "&:before": { + "position": "absolute", + "left": "-1.6rem", + "content": "\"\\2022\"", + "color": "@iconColor", + "font-weight": "bold", + "font-size": "2rem", + "width": "1.6rem", + "line-height": "1.2" + } + } + } + } + } + }, + "_name": "content8", + "_sourceTheme": "mobirise5", + "_customHTML": "
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Selected papers on KL led by or with major contributions from the ACL

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", + "_anchor": "content8-8y", + "_isUserblock": true, + "_cid": "tocaFst0Ij", + "_protectedParams": [], + "_global": false, + "_once": false, + "_params": {} + }, + { + "alias": false, + "_styles": { + "& when not (@fullScreen)": { + "padding-top": "(@paddingTop * 15px)", + "padding-bottom": "(@paddingBottom * 15px)" + }, + "& when (@bg-type = 'color')": { + "background-color": "@bg-value", + "& when (@gradientBg)": { + "background": "linear-gradient(45deg, @bg-value, @color2)" + } + }, + "& when (@bg-type = 'image')": { + "background-image": "url(@bg-value)" + }, + "& when (@reverseContent)": { + ".media-container-row": { + "flex-direction": "row-reverse", + "-webkit-flex-direction": "row-reverse" + } + }, + ".mbr-figure": { + "@media (min-width: 992px)": { + "padding-right": "4rem", + "& when (@reverseContent)": { + "padding-right": "0", + "padding-left": "4rem" + } + }, + "@media (max-width: 991px)": { + "padding-bottom": "3rem" + } + }, + ".mbr-text": { + "@media (max-width: 767px)": { + "text-align": "center" + } + }, + "H1": { + "text-align": "left" + }, + ".mbr-text, .mbr-section-btn": { + "color": "#ffffff" + } + }, + "_name": "header3", + "_sourceTheme": "mobirise4", + "_customHTML": "
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Inflation - SPHEREx mission

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\n Beautiful mobile websites\n

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SPHEREx (Spectro-Photometer for the History of the Universe, Epoch of Reionization, and Ices Explorer) is a selected NASA explorer mission that will observe the entire sky with near-spectroscopic resolution. By measuring a unique signal in the clustering of galaxies on large scales, SPHEREx will be able to constrain whether the initial density field that seeds our Universe has signatures of non-Gaussianity. These signatures allow us to constrain different physics scenarios of \"inflation\" (see Fig to the right), a rapid expansion phase in the early Universe.

The mission is led by Caltech/JPL (SPHEREx mission website), our group is building the modeling and inference code for the galaxy power spectrum analysis. We are also working on quantifying synergies of SPHEREx and other cosmological missions (in particular LSST) with the goal to constrain Dark Energy.

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", + "_anchor": "header3-8d", + "_isUserblock": true, + "_cid": "to5hlMSNEJ", + "_protectedParams": [], + "_global": false, + "_once": false, + "_params": {} + }, + { + "alias": false, + "_styles": { + "padding-top": "(@paddingTop * 1rem)", + "padding-bottom": "(@paddingBottom * 1rem)", + "background-color": "@bgColor", + ".counter-container": { + "ul": { + "margin": "0", + "list-style": "none", + "padding-left": "2.5rem", + "li": { + "margin-bottom": "1rem", + "position": "relative", + "& when (@stylizedCounters)": { + "list-style": "none", + "position": "relative", + "padding-left": "1rem", + "&:before": { + "position": "absolute", + "left": "-40px", + "content": "\"\"", + "display": "flex", + "justify-content": "center", + "align-items": "center", + "color": "contrast(@iconColor)", + "background-color": "@iconColor", + "width": "40px", + "height": "40px", + "border-radius": "50%", + "margin-top": "5px", + "& when (@countersType = \"circle\")": { + "background": "none", + "border": "1px solid @iconColor", + "color": "@iconColor" + }, + "& when (@countersType = \"square\")": { + "border-radius": "0" + }, + "& when (@mark)": { + "content": "\"✓\"" + } + } + }, + "& when not (@stylizedCounters)": { + "&:before": { + "position": "absolute", + "left": "-1.6rem", + "content": "\"\\2022\"", + "color": "@iconColor", + "font-weight": "bold", + "font-size": "2rem", + "width": "1.6rem", + "line-height": "1.2" + } + } + } + } + } + }, + "_name": "content8", + "_sourceTheme": "mobirise5", + "_customHTML": "
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Selected papers on SPHEREx science led by or with major contributions from the ACL

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", + "_anchor": "content8-8x", + "_isUserblock": true, + "_cid": "toc9phjS5g", + "_protectedParams": [], + "_global": false, + "_once": false, + "_params": {} + }, + { + "alias": false, + "_styles": { + "& when not (@fullScreen)": { + "padding-top": "(@paddingTop * 15px)", + "padding-bottom": "(@paddingBottom * 15px)" + }, + "& when (@bg-type = 'color')": { + "background-color": "@bg-value", + "& when (@gradientBg)": { + "background": "linear-gradient(45deg, @bg-value, @color2)" + } + }, + "& when (@bg-type = 'image')": { + "background-image": "url(@bg-value)" + }, + "& when (@reverseContent)": { + ".media-container-row": { + "flex-direction": "row-reverse", + "-webkit-flex-direction": "row-reverse" + } + }, + ".mbr-figure": { + "@media (min-width: 992px)": { + "padding-right": "4rem", + "& when (@reverseContent)": { + "padding-right": "0", + "padding-left": "4rem" + } + }, + "@media (max-width: 991px)": { + "padding-bottom": "3rem" + } + }, + ".mbr-text": { + "@media (max-width: 767px)": { + "text-align": "center" + } + }, + "H1": { + "text-align": "left" + }, + ".mbr-text, .mbr-section-btn": { + "color": "#ffffff" + } + }, + "_name": "header3", + "_sourceTheme": "mobirise4", + "_customHTML": "
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Machine Learning

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\n Beautiful mobile websites\n

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The challenge of balancing accuracy and speed in modeling multi-probe data vectors has been a limiting factor already for the current generation of cosmological surveys. This problem will increase significantly given the decrease in statistical uncertainty for future datasets and the corresponding increase in model complexity.  

Emulating the results of expensive numerical simulations and subsequent complex calculations that underpin the computation of observables as a function of the parameter space has been identified as the most promising path forward. We are developing neural network architectures that are precise, fast, and computationally inexpensive in performing these computations and that will enable the complex analyses using Roman, Rubin, SPHEREx, and DESI data. 

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", + "_anchor": "header3-8j", + "_isUserblock": true, + "_cid": "to8QGMa0tB", + "_protectedParams": [], + "_global": false, + "_once": false, + "_params": {} + }, + { + "alias": false, + "_styles": { + "padding-top": "(@paddingTop * 1rem)", + "padding-bottom": "(@paddingBottom * 1rem)", + "background-color": "@bgColor", + ".counter-container": { + "ul": { + "margin": "0", + "list-style": "none", + "padding-left": "2.5rem", + "li": { + "margin-bottom": "1rem", + "position": "relative", + "& when (@stylizedCounters)": { + "list-style": "none", + "position": "relative", + "padding-left": "1rem", + "&:before": { + "position": "absolute", + "left": "-40px", + "content": "\"\"", + "display": "flex", + "justify-content": "center", + "align-items": "center", + "color": "contrast(@iconColor)", + "background-color": "@iconColor", + "width": "40px", + "height": "40px", + "border-radius": "50%", + "margin-top": "5px", + "& when (@countersType = \"circle\")": { + "background": "none", + "border": "1px solid @iconColor", + "color": "@iconColor" + }, + "& when (@countersType = \"square\")": { + "border-radius": "0" + }, + "& when (@mark)": { + "content": "\"✓\"" + } + } + }, + "& when not (@stylizedCounters)": { + "&:before": { + "position": "absolute", + "left": "-1.6rem", + "content": "\"\\2022\"", + "color": "@iconColor", + "font-weight": "bold", + "font-size": "2rem", + "width": "1.6rem", + "line-height": "1.2" + } + } + } + } + } + }, + "_name": "content8", + "_sourceTheme": "mobirise5", + "_customHTML": "
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Selected papers using ML with major contributions from the ACL

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", + "_anchor": "content8-8w", + "_isUserblock": true, + "_cid": "toc8pFXJ24", + "_protectedParams": [], + "_global": false, + "_once": false, + "_params": {} + } + ] + }, + "postdocs.html": { + "settings": { + "title": "Postdocs", + "meta_descr": "", + "header_custom": "", + "footer_custom": "", + "html_before": "", + "order": "7" + }, + "components": [ + { + "alias": false, + "_styles": { + ".navbar": { + "padding": ".5rem 0", + "background": "@menuBgColor", + "transition": "none", + "min-height": "77px" + }, + ".navbar-dropdown.bg-color.transparent.opened": { + "background": "@menuBgColor" + }, + "a": { + "font-style": "normal" + }, + ".nav-item": { + "& span": { + "padding-right": "0.4em", + "line-height": "0.5em", + "vertical-align": "text-bottom", + "position": "relative", + "text-decoration": "none" + }, + "& a": { + "display": "-webkit-flex", + "align-items": "center", + "justify-content": "center", + "padding": "0.7rem 0 !important", + "margin": "0rem .65rem !important", + "-webkit-align-items": "center", + "-webkit-justify-content": "center" + } + }, + ".nav-item:focus, .nav-link:focus": { + "outline": "none" + }, + ".btn": { + "padding": "0.4rem 1.5rem", + "display": "-webkit-inline-flex", + "align-items": "center", + "-webkit-align-items": "center", + ".mbr-iconfont": { + "font-size": "1.6rem" + } + }, + ".menu-logo": { + "margin-right": "auto", + ".navbar-brand": { + "display": "flex", + "margin-left": "5rem", + "padding": "0", + "transition": "padding .2s", + "min-height": "3.8rem", + "-webkit-align-items": "center", + "align-items": "center", + ".navbar-caption-wrap": { + "display": "flex", + "-webkit-align-items": "center", + "align-items": "center", + "word-break": "break-word", + "min-width": "7rem", + "margin": ".3rem 0", + ".navbar-caption": { + "line-height": "1.2rem !important", + "padding-right": "2rem" + } + }, + ".navbar-logo": { + "font-size": "4rem", + "transition": "font-size 0.25s", + "& img": { + "display": "flex" + }, + ".mbr-iconfont": { + "transition": "font-size 0.25s" + }, + "a": { + "display": "inline-flex" + } + } + } + }, + ".navbar-toggleable-sm .navbar-collapse": { + "justify-content": "flex-end", + "-webkit-justify-content": "flex-end", + "padding-right": "5rem", + "width": "auto", + ".navbar-nav": { + "flex-wrap": "wrap", + "-webkit-flex-wrap": "wrap", + "padding-left": "0", + ".nav-item": { + "-webkit-align-self": "center", + "align-self": "center" + } + }, + ".navbar-buttons": { + "padding-left": "0", + "padding-bottom": "0" + } + }, + ".dropdown": { + ".dropdown-menu": { + "background": "@menuBgColor", + "visibility": "hidden", + "display": "block", + "position": "absolute", + "min-width": "5rem", + "padding-top": "1.4rem", + "padding-bottom": "1.4rem", + "text-align": "left", + ".dropdown-item": { + "width": "auto", + "padding": "0.235em 1.5385em 0.235em 1.5385em !important", + "&::after": { + "right": "0.5rem" + } + }, + ".dropdown-submenu": { + "margin": "0" + } + }, + "&.open > .dropdown-menu": { + "visibility": "visible" + } + }, + ".navbar-toggleable-sm": { + "&.opened:after": { + "position": "absolute", + "width": "100vw", + "height": "100vh", + "content": "''", + "background-color": "rgba(0, 0, 0, 0.1)", + "left": "0", + "bottom": "0", + "transform": "translateY(100%)", + "-webkit-transform": "translateY(100%)", + "z-index": "1000" + } + }, + ".navbar.navbar-short": { + "min-height": "60px", + "transition": "all .2s", + "& .navbar-toggler-right": { + "top": "20px" + }, + "& .navbar-logo a": { + "font-size": "2.5rem !important", + "line-height": "2.5rem", + "transition": "font-size 0.25s", + "& .mbr-iconfont": { + "font-size": "2.5rem !important" + }, + "& img": { + "height": "3rem !important" + } + }, + "& .navbar-brand": { + "min-height": "3rem" + } + }, + "button.navbar-toggler": { + "width": "31px", + "height": "18px", + "cursor": "pointer", + "transition": "all .2s", + "top": "1.5rem", + "right": "1rem", + "&:focus": { + "outline": "none" + }, + ".hamburger span": { + "position": "absolute", + "right": "0", + "width": "30px", + "height": "2px", + "border-right": "5px", + "background-color": "@hamburgerColor", + "&:nth-child(1)": { + "top": "0", + "transition": "all .2s" + }, + "&:nth-child(2)": { + "top": "8px", + "transition": "all .15s" + }, + "&:nth-child(3)": { + "top": "8px", + "transition": "all .15s" + }, + "&:nth-child(4)": { + "top": "16px", + "transition": "all .2s" + } + } + }, + "nav.opened .hamburger span": { + "&:nth-child(1)": { + "top": "8px", + "width": "0", + "opacity": "0", + "right": "50%", + "transition": "all .2s" + }, + "&:nth-child(2)": { + "-webkit-transform": "rotate(45deg)", + "transform": "rotate(45deg)", + "transition": "all .25s" + }, + "&:nth-child(3)": { + "-webkit-transform": "rotate(-45deg)", + "transform": "rotate(-45deg)", + "transition": "all .25s" + }, + "&:nth-child(4)": { + "top": "8px", + "width": "0", + "opacity": "0", + "right": "50%", + "transition": "all .2s" + } + }, + ".collapsed": { + "&.navbar-expand": { + "flex-direction": "column", + "-webkit-flex-direction": "column" + }, + ".btn": { + "display": "-webkit-flex" + }, + ".navbar-collapse": { + "display": "none !important", + "padding-right": "0 !important", + "&.collapsing, &.show": { + "display": "block !important", + ".navbar-nav": { + "display": "block", + "text-align": "center", + ".nav-item": { + "clear": "both", + "& when (@showButtons = false)": { + "&:last-child": { + "margin-bottom": "1rem" + } + } + } + }, + ".navbar-buttons": { + "text-align": "center", + "&:last-child": { + "margin-bottom": "1rem" + } + } + } + }, + "@media (min-width: 1024px)": { + "&:not(.navbar-short) .navbar-collapse when (@showLogo)": { + "max-height": "~\"calc(98.5vh - @{logoSize}rem)\"" + } + }, + "button.navbar-toggler": { + "display": "block" + }, + ".navbar-brand": { + "margin-left": "1rem !important" + }, + ".navbar-toggleable-sm": { + "flex-direction": "column", + "-webkit-flex-direction": "column" + }, + ".dropdown": { + ".dropdown-menu": { + "width": "100%", + "text-align": "center", + "position": "relative", + "opacity": "0", + "overflow": "hidden", + "display": "block", + "height": "0", + "visibility": "hidden", + "padding": "0", + "transition-duration": ".5s", + "transition-property": "opacity, padding, height" + }, + "&.open > .dropdown-menu": { + "position": "relative", + "opacity": "1", + "height": "auto", + "padding": "1.4rem 0", + "visibility": "visible" + }, + ".dropdown-submenu": { + "left": "0", + "text-align": "center", + "width": "100%" + }, + ".dropdown-toggle[data-toggle=\"dropdown-submenu\"]::after": { + "margin-top": "0", + "position": "inherit", + "right": "0", + "top": "50%", + "display": "inline-block", + "width": "0", + "height": "0", + "margin-left": ".3em", + "vertical-align": "middle", + "content": "\"\"", + "border-top": ".30em solid", + "border-right": ".30em solid transparent", + "border-left": ".30em solid transparent" + } + } + }, + "@media (max-width: 1023px)": { + ".navbar-expand": { + "flex-direction": "column", + "-webkit-flex-direction": "column" + }, + "img": { + "height": "3.8rem !important" + }, + ".btn": { + "display": "-webkit-flex" + }, + "button.navbar-toggler": { + "display": "block" + }, + ".navbar-brand": { + "margin-left": "1rem !important" + }, + ".navbar-toggleable-sm": { + "flex-direction": "column", + "-webkit-flex-direction": "column" + }, + ".navbar-collapse": { + "display": "none !important", + "padding-right": "0 !important", + "&.collapsing, &.show": { + "display": "block !important", + ".navbar-nav": { + "display": "block", + "text-align": "center", + ".nav-item": { + "clear": "both", + "& when (@showButtons = false)": { + "&:last-child": { + "margin-bottom": "1rem" + } + } + } + }, + ".navbar-buttons": { + "text-align": "center", + "&:last-child": { + "margin-bottom": "1rem" + } + } + } + }, + ".dropdown": { + ".dropdown-menu": { + "width": "100%", + "text-align": "center", + "position": "relative", + "opacity": "0", + "overflow": "hidden", + "display": "block", + "height": "0", + "visibility": "hidden", + "padding": "0", + "transition-duration": ".5s", + "transition-property": "opacity, padding, height" + }, + "&.open > .dropdown-menu": { + "position": "relative", + "opacity": "1", + "height": "auto", + "padding": "1.4rem 0", + "visibility": "visible" + }, + ".dropdown-submenu": { + "left": "0", + "text-align": "center", + "width": "100%" + }, + ".dropdown-toggle[data-toggle=\"dropdown-submenu\"]::after": { + "margin-top": "0", + "position": "inherit", + "right": "0", + "top": "50%", + "display": "inline-block", + "width": "0", + "height": "0", + "margin-left": ".3em", + "vertical-align": "middle", + "content": "\"\"", + "border-top": ".30em solid", + "border-right": ".30em solid transparent", + "border-left": ".30em solid transparent" + } + } + }, + "@media (min-width: 767px)": { + ".menu-logo": { + "flex-shrink": "0", + "-webkit-flex-shrink": "0" + } + }, + ".navbar-collapse": { + "flex-basis": "auto", + "-webkit-flex-basis": "auto" + }, + ".nav-link:hover, .dropdown-item:hover": { + "color": "@itemsHoverColor !important" + } + }, + "_name": "menu1", + "_sourceTheme": "mobirise4", + "_customHTML": "
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Postdoctoral Fellows 

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\n Mobirise is a free offline app for Windows and Mac to easily create small/medium websites, landing\n pages, portfolios. 3500+ beautiful website blocks, templates and themes help you to start easily.\n

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", + "_anchor": "header18-7x", + "_isUserblock": true, + "_cid": "sKaaqOO2cs", + "_protectedParams": [], + "_global": false, + "_once": false, + "_params": {} + }, + { + "_styles": { + "padding-top": "(@paddingTop * 15px)", + "padding-bottom": "(@paddingBottom * 15px)", + "& when (@bg-type = 'color')": { + "background-color": "@bg-value" + }, + "& when (@bg-type = 'image')": { + "background-image": "url(@bg-value)" + }, + ".testimonials-container": { + "margin": "0 auto", + ".testimonials-item": { + "justify-content": "center", + "margin-top": "3rem", + "-webkit-justify-content": "center", + ".user": { + "& when (@crdsBg)": { + "background": "@cardsColor" + }, + "&.row": { + "margin": "0" + }, + ".user_image": { + "width": "150px", + "height": "150px", + "overflow": "hidden", + "margin": "2rem auto 2rem auto", + "img": { + "width": "100%", + "min-width": "100%", + "min-height": "100%" + } + }, + ".testimonials-caption": { + "padding": "2rem", + "& when (@showImage)": { + "padding": "2rem 2rem 2rem 0" + } + } + } + } + }, + "@media (max-width: 260px)": { + ".user_image": { + "width": "100% !important", + "height": "auto !important" + } + }, + "@media (max-width: 767px)": { + ".testimonials-caption": { + "& when (@showImage)": { + "padding": "0 2rem 2rem 2rem !important" + } + } + } + }, + "_name": "testimonials4", + "_sourceTheme": "mobirise4", + "_customHTML": "
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ACL Students

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Hung-Jin Huang
ACL fellow (2019 -)

I am broadly interested in astrophysical systematics for weak lensing observables. I studied intrinsic alignment in redMaPPer galaxy clusters (Huang et al. 2016, 2018), and investigated mitigation techniques for uncertainties of baryonic physics from hydrodynamical simulations (Huang et al. 2019). I have jointly modeled cosmology and baryonic physics using Dark Energy Survey data (Huang et al 2021). 

I am currently working on a simulation and measurement pipeline for Kinematic Lensing. I am also interested in machine learning applications to increasing the resolution of ground based imaging data using space based observations.

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Paul Rogozenski
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Graduate Student in Physics (Advisor: Elisabeth Krause)
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ACL Students

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Yosuke Kobayashi
ACL fellow (2021 -)

CV(pdf)

My research interest is on the large-scale structure of the Universe, in particular the clustering properties of galaxies and dark matter halos. I have been developing machine learning-based modeling to infer cosmology from the galaxy spectroscopic surveys. I am interested in machine learning and statistical methods which improve the cosmological analysis of survey data. At the University of Arizona, I work on the galaxy power spectrum analysis as a member of the SPHEREx survey.

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Paul Rogozenski
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Graduate Student in Physics (Advisor: Elisabeth Krause)
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ACL Students

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Andres Salcedo
ACL fellow (2022 - )

website            CV(pdf)

My main research interests are in survey cosmology with particular focus on clusters and small-scale information. In previous work I have shown that combining cluster weak lensing, cluster-galaxy cross-correlations and galaxy auto-correlations can produce tight constraints on cosmological parameters. I am currently working to apply this data-vector to DES data. I am also interested in halo and galaxy assembly bias.

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Paul Rogozenski
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Graduate Student in Physics (Advisor: Elisabeth Krause)
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Supranta Sarma Boruah
ACL fellow (2020 - )

website            CV(pdf)

I am interested in various aspects of large-scale structure cosmology. At Arizona cosmology lab, I am primarily working to develop analysis methods for performing field level inference of weak lensing and for combined analysis of spectroscopic and photometric galaxy surveys. I am also interested in forward-modeled reconstruction methods and in using local measurements of peculiar velocities for cosmological analysis.

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Paul Rogozenski
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Graduate Student in Physics (Advisor: Elisabeth Krause)
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ACL Students

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Tomomi Sunayama
JSPS fellow (2018 - 2022) / ACL fellow (2022 - )

My current research focuses on accurate physical modeling of systematics in cosmological analyses using galaxy clusters and developing a way to identify high-redshift galaxy clusters by jointly using data from photometric and spectroscopic galaxy surveys. The coming decade of cluster cosmology will be interesting, as the next-generation X-ray and optical cluster surveys (e.g., e-ROSITA and LSST) are expected to detect more than 100,000 galaxy clusters.

I am currently a co-leader of the Prime Focus Spectrograph (PFS) Cosmology working group, which is an ongoing spectroscopic galaxy survey using 8m Subaru telescope to map about 4 million emission-line galaxies up to z=2.4.My research group creates detailed simulations of galaxies like the Milky Way and its neighbors and utilize large volume cosmological simulations in order to understand the nature of dark matter and the physics of galaxy evolution.

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Paul Rogozenski
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Graduate Student in Physics (Advisor: Elisabeth Krause)
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\n Header Subtitle\n

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\n Mobirise is a free offline app for Windows and Mac to easily create small/medium websites, landing\n pages, portfolios. 3500+ beautiful website blocks, templates and themes help you to start easily.\n

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ACL Students

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Xiao Fang

ACL fellow (2018 - 2021)
now Berkeley Cosmology Center Fellow

website

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Paul Rogozenski
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Graduate Student in Physics (Advisor: Elisabeth Krause)
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Vivian Miranda

ACL fellow 2018-2021
Research Scientist 2021/22
now faculty at Stony Brook University

website

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Paul Rogozenski
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Graduate Student in Physics (Advisor: Elisabeth Krause)
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ACL Students

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Elisabeth Krause
Associate Professor of Astronomy
Associate Professor of Physics

CV (pdf)

I am broadly interested in data-driven cosmology, and I like to combine theoretical modeling with with detailed understanding of cosmological data sets and new statistical techniques. I also like to think about novel probes, such as cosmic voids and higher-order statistics.

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Paul Rogozenski
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Graduate Student in Physics (Advisor: Elisabeth Krause)
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ACL Students

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Tim Eifler
Associate Professor of Astronomy

CV (pdf)

My research focusses on cosmological data analysis with different observables and datasets from ground and space-based surveys. I am most interested in combining weak lensing, galaxy clustering, and CMB observables and am building models to include small-scale information in the analyses.

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Paul Rogozenski
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Graduate Student in Physics (Advisor: Elisabeth Krause)
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ACL Students

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Eduardo Rozo
Associate Professor of Physics

My research group creates detailed simulations of galaxies like the Milky Way and its neighbors and utilize large volume cosmological simulations in order to understand the nature of dark matter and the physics of galaxy evolution.

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Paul Rogozenski
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Graduate Student in Physics (Advisor: Elisabeth Krause)
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ACL Students

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Gurtina Besla
Associate Professor of Astronomy

Besla group website

My research group creates detailed simulations of galaxies like the Milky Way and its neighbors and utilize large volume cosmological simulations in order to understand the nature of dark matter and the physics of galaxy evolution.

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Paul Rogozenski
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Graduate Student in Physics (Advisor: Elisabeth Krause)
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ACL Students

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Peter Behroozi
Associate Professor of Astronomy

Behroozi group website

My group researches how the evolution of dark matter and dark energy drive the formation of galaxies and supermassive black holes using machine learning. 

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Paul Rogozenski
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Graduate Student in Physics (Advisor: Elisabeth Krause)
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Undergraduate Internships

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As part of the TIMESTEP apprenticeship program our lab offers research opportunities in cosmological data analysis and computational modeling for a small group of undergraduate students (4-8). All participants are hired as RAs at a 10h/week.

Program details:
All undergrads are (co-)mentored directly by a faculty, postdoc, or senior graduate student of our lab. There are regular lectures on e.g., cosmological data analysis, machine learning, High-Performance Computing given by members of our lab. The group meets once per week as a whole and 1-1 with the mentors as needed. The primary goal is to prepare undergraduate students for graduate school. There is a specialist to assess the outcome and impact of the TIMESTEP internship at the end of the program.

More details on how to apply can be found here. 

  

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Prospective Grad Students

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For grad students interested in joining our lab please apply to a University of Arizona graduate student program in astronomy. If you are accepted into the program we are happy to discuss possible projects at the interface of cosmological observations, modeling and data analysis, and astrophysics theory.

More details on the type of projects we offer can be found in the science and missions/experiments sections. 

Grad students in our lab have access to the latest datasets from cosmological surveys, local and national Supercomputing resources, and travel funding to conferences and collaboration meetings.
  

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Postdoctoral Fellows

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There exists a wide range of opportunities to participate in our group at the postdoctoral level. For all opportunities below, please contact one of the ACL faculty for further information.

1) Arizona Cosmology Lab Fellows (ads appear on AAS job register):
Our lab hosts a postdoctoral program that aims at enabling its members to develop a visible, independent science profile. Postdocs develop their independent research plan with advice and suggestions from faculty, including their direct postdoctoral advisor. The details of the research program is at the discretion of the postdocs, but should be connected to the broad theme of cosmological data analysis of ongoing and future surveys (DES, DESI, Rubin Observatory, Roman Space Telescope, SPHEREx). The program strives to facilitate a healthy mix of collaborative projects with ACL faculty, students, other postdocs, work in large science collaborations and individual research.

2) External Fellowships :
We are happy to discuss external fellowship applications (NASA, NSF, International Programs) that can be taken to Steward Observatory directly or to NSF's OIR lab, which is across the street. In case of aligned research interests our lab will enable access to Super-Computing and other resources, such as cosmological data sets, simulations, analysis software.  

3) Steward Observatory Fellowships (see here for details)
Steward Observatory offers a range of Prize Fellowships (Bok, Strittmatter, Arizona-KASI, Steward Theory Prize) that are open to applicants from all fields of astronomy, including cosmology.

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TACOS
(Theoretical Astrophysics and Cosmology Seminar)

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TACOS is the main seminar series of the Arizona Cosmology Lab (Wednesday 11.30-12.30pm) and it can be in person or remote. Speakers range from senior faculty to graduate students talking about their first project. Talks are 45+15 mins and should include an extensive introduction that explains the big picture in which the specific topic is embedded (suitable for 1st year graduate students in astronomy/physics). After the introduction the talk may become as technical as desired by the speaker.

TACOS is preceded by the lab's Pizza lunch, an informal gathering to talk with the speaker.

If you are interested in giving a TACOS talk, please contact one of the faculty.

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Advanced Cosmology Problems

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We have a weekly blackboard session (Friday 1-2pm, frequently runs longer) going over advanced problems in cosmology. We are currently studying problems posed in the book Cosmology by Prof. Daniel Baumann.

This event is recommended for graduate students, who already had a cosmology course and want to dig deeper, postdocs, and faculty.

Advanced Cosmology is usually followed by a ping pong session.

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CosmoCoffee and MLCoffee

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Our lab hosts two coffee sessions for discussing cosmology (Tue 10-11am) and machine learning papers (Thu 12-1pm) open to graduate student level and beyond.

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Arizona Lensing Day

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Once per year we meet with our cosmology colleagues at the Arizona State University to discuss science and project ideas. 

Schedule Spring 2023 event 

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Beyond 2pt function challenge
2/20/23-2/24/23

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Workshop science content:

A wealth of information on fundamental physics is encoded in the cosmic galaxy distribution. Even though it is well-understood that the galaxy density fields is not a Gaussian random field, the majority of cosmological analyses to date have relied only on two-point statistics, i.e., they relied on not sufficient statistics. While the prospects of higher-order statistics for cosmology have been explored in theoretically, these methods are still in their infancy and considered high risk by funding agencies. The Arizona Cosmology Lab is organizing a blind data challenge to compare the performance of beyond-two-point statistics in cosmological inference. This workshop will bring together analysis teams participating in the challenge for a week of focused work homogenizing analysis assumptions, with the goal of unblinding and comparing the groups’ results at the end of the week. The results from this challenge will be published as performance benchmarks for different summary statistics and thus establish the maturity of these algorithms.

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No Code Website Builder
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Landing Page Software
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ACL Students

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Elisabeth Krause
Associate Professor of Astronomy
Associate Professor of Physics

CV (pdf)

I am broadly interested in data-driven cosmology, and I like to combine theoretical modeling with with detailed understanding of cosmological data sets and new statistical techniques. I also like to think about novel probes, such as cosmic voids and higher-order statistics.

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Paul Rogozenski
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Graduate Student in Physics (Advisor: Elisabeth Krause)
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ACL Students

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Elisabeth Krause
Associate Professor of Astronomy
Associate Professor of Physics

CV (pdf)

I am broadly interested in data-driven cosmology, and I like to combine theoretical modeling with with detailed understanding of cosmological data sets and new statistical techniques. I also like to think about novel probes, such as cosmic voids and higher-order statistics.

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Paul Rogozenski
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Graduate Student in Physics (Advisor: Elisabeth Krause)
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