Publications (106)
Rubin-Euclid Derived Data Products: Initial Recommendations
Leanne P. Guy, Jean-Charles Cuillandre, Etienne Bachelet +117
This report is the result of a joint discussion between the Rubin and Euclid scientific communities. The work presented in this report was focused on designing and recommending an…
Measurement of the B-band Galaxy Luminosity Function with Approximate Bayesian Computation
Luca Tortorelli, Martina Fagioli, Jörg Herbel +3
The galaxy Luminosity Function (LF) is a key observable for galaxy formation, evolution studies and for cosmology. In this work, we propose a novel technique to forward model wide-…
Information Gains from Cosmic Microwave Background Experiments
Sebastian Seehars, Adam Amara, Alexandre Refregier +2
To shed light on the fundamental problems posed by Dark Energy and Dark Matter, a large number of experiments have been performed and combined to constrain cosmological models. We…
Core or cusps: The central dark matter profile of a redshift one strong lensing cluster with a bright central image
Thomas E. Collett, Elizabeth Buckley-Geer, Huan Lin +58
We report on SPT-CLJ2011-5228, a giant system of arcs created by a cluster at . The arc system is notable for the presence of a bright central image. The source is a Lyman…
Quantifying Concordance in Cosmology
Sebastian Seehars, Sebastian Grandis, Adam Amara +1
Quantifying the concordance between different cosmological experiments is important for testing the validity of theoretical models and systematics in the observations. In earlier w…
PyCosmo: An Integrated Cosmological Boltzmann Solver
Alexandre Refregier, Lukas Gamper, Adam Amara +1
As wide-field surveys yield ever more precise measurements, cosmology has entered a phase of high precision requiring highly accurate and fast theoretical predictions. At the heart…
Results of the GREAT08 Challenge: An image analysis competition for cosmological lensing
Sarah Bridle, Sreekumar T. Balan, Matthias Bethge +31
We present the results of the GREAT08 Challenge, a blind analysis challenge to infer weak gravitational lensing shear distortions from images. The primary goal was to stimulate new…
Image processing challenges in weak gravitational lensing
Adam Amara
The field of weak gravitational lensing, which measures the basic properties of the Universe by studying the way that light from distant galaxies is perturbed as it travels towards…
Measurement and Calibration of Noise Bias in Weak Lensing Galaxy Shape Estimation
Tomasz Kacprzak, Joe Zuntz, Barnaby Rowe +5
Weak gravitational lensing has the potential to constrain cosmological parameters to high precision. However, as shown by the Shear TEsting Programmes (STEP) and GRavitational lEns…
A young protoplanet candidate embedded in the circumstellar disk of HD100546
Sascha P. Quanz, Adam Amara, Michael R. Meyer +3
We present high-contrast observations of the circumstellar environment of the Herbig Ae/Be star HD100546. The final 3.8 micron image reveals an emission source at a projected separ…
Fast Lightcones for Combined Cosmological Probes
Raphael Sgier, Janis Fluri, Jörg Herbel +4
The combination of different cosmological probes offers stringent tests of the CDM model and enhanced control of systematics. For this purpose, we present an extension of the l…
Integrated Cosmological Probes: Extended Analysis
Andrina Nicola, Alexandre Refregier, Adam Amara
Recent progress in cosmology has relied on combining different cosmological probes. In earlier work, we implemented an integrated approach to cosmology where the probes are combine…
3-dimensional spherical analyses of cosmological spectroscopic surveys
Andrina Nicola, Alexandre Refregier, Adam Amara +1
Spectroscopic redshift surveys offer great prospects for constraining the dark sector in cosmology. Future surveys will however be both deep and wide and will thus require an analy…
Cosmological constraints with deep learning from KiDS-450 weak lensing maps
Janis Fluri, Tomasz Kacprzak, Aurelien Lucchi +4
Convolutional Neural Networks (CNN) have recently been demonstrated on synthetic data to improve upon the precision of cosmological inference. In particular they have the potential…
Gas Giant and Brown Dwarf Companions: Mass Ratio and Orbital Distributions From A stars to M dwarfs
Michael R. Meyer, Yiting Li, Per Calissendorf +1
Understanding demographic properties of planet populations and multiple star systems constrains theories of planet and star formation. Surveys for very low-mass companions to M-A t…
PynPoint: An Image Processing Package for Finding Exoplanets
Adam Amara, Sascha Quanz
We present the scientific performance results of PynPoint, our Python-based software package that uses principle component analysis to detect and estimate the flux of exoplanets in…
Dark Matter Distribution Induced by a Cosmic String Wake in the Nonlinear Regime
Disrael Cunha, Joachim Harnois-Deraps, Robert Brandenberger +2
We study the distribution of dark matter in the nonlinear regime in a model in which the primordial fluctuations include, in addition to the dominant primordial Gaussian fluctuatio…
Systematic Bias in Cosmic Shear: Beyond the Fisher Matrix
Adam Amara, Alexandre Refregier
We describe a method for computing the biases that systematic signals introduce in parameter estimation using a simple extension of the Fisher matrix formalism. This allows us to c…
Noise bias in weak lensing shape measurements
Alexandre Refregier, Tomasz Kacprzak, Adam Amara +2
Weak lensing experiments are a powerful probe of cosmology through their measurement of the mass distribution of the universe. A challenge for this technique is to control systemat…
Consistency tests in cosmology using relative entropy
Andrina Nicola, Adam Amara, Alexandre Refregier
With the high-precision data from current and upcoming experiments, it becomes increasingly important to perform consistency tests of the standard cosmological model. In this work,…
The PAU Survey: A Forward Modeling Approach for Narrow-band Imaging
Luca Tortorelli, Lorenza Della Bruna, Jörg Herbel +15
Weak gravitational lensing is a powerful probe of the dark sector, once measurement systematic errors can be controlled. In Refregier & Amara (2014), a calibration method based on…
Confirmation and characterization of the protoplanet HD100546 b - Direct evidence for gas giant planet formation at 50 au
Sascha P. Quanz, Adam Amara, Michael R. Meyer +3
We present the first multi-wavelength, high-contrast imaging study confirming the protoplanet embedded in the disk around the Herbig Ae/Be star HD100546. The object is detected at…
Constraining primordial non-Gaussianity with future galaxy surveys
Tommaso Giannantonio, Cristiano Porciani, Julien Carron +2
We study the constraining power on primordial non-Gaussianity of future surveys of the large-scale structure of the Universe for both near-term surveys (such as the Dark Energy Sur…
Photo-z Performance for Precision Cosmology
Rongmon Bordoloi, Simon J. Lilly, Adam Amara
Current and future weak lensing surveys will rely on photometrically estimated redshifts of very large numbers of galaxies. In this paper, we address several different aspects of t…
Lenstronomy: multi-purpose gravitational lens modelling software package
Simon Birrer, Adam Amara
We present Lenstronomy, a multi-purpose open-source gravitational lens modeling python package. Lenstronomy is able to reconstruct the lens mass and surface brightness distribution…
On Point Spread Function modelling: towards optimal interpolation
Joel Bergé, Sedona Price, Adam Amara +1
Point Spread Function (PSF) modeling is a central part of any astronomy data analysis relying on measuring the shapes of objects. It is especially crucial for weak gravitational le…
Optimal capture of non-Gaussianity in weak lensing surveys: power spectrum, bispectrum and halo counts
Joel Berge, Adam Amara, Alexandre Refregier
We compare the efficiency of weak lensing-selected galaxy clusters counts and of the weak lensing bispectrum at capturing non-Gaussian features in the dark matter distribution. We…
HIDE & SEEK: End-to-End Packages to Simulate and Process Radio Survey Data
Joel Akeret, Sebastian Seehars, Chihway Chang +3
As several large single-dish radio surveys begin operation within the coming decade, a wealth of radio data will become available and provide a new window to the Universe. In order…
Full-Sky Weak Lensing Simulation with 70 Billion Particles
Romain Teyssier, Sandrine Pires, Simon Prunet +7
We have performed a 70 billion dark-matter particles N-body simulation in a 2 Gpc periodic box, using the concordance, cosmological model as favored by the latest WMAP3 re…
Calibrated Ultra Fast Image Simulations for the Dark Energy Survey
Claudio Bruderer, Chihway Chang, Alexandre Refregier +3
Weak lensing by large-scale structure is a powerful technique to probe the dark components of the universe. To understand the measurement process of weak lensing and the associated…
The redshift distribution of cosmological samples: a forward modeling approach
Jörg Herbel, Tomasz Kacprzak, Adam Amara +3
Determining the redshift distribution of galaxy samples is essential for several cosmological probes including weak lensing. For imaging surveys, this is usually done using…
Handbook for the GREAT08 Challenge: An image analysis competition for cosmological lensing
Sarah Bridle, John Shawe-Taylor, Adam Amara +35
The GRavitational lEnsing Accuracy Testing 2008 (GREAT08) Challenge focuses on a problem that is of crucial importance for future observations in cosmology. The shapes of distant g…
Integrated cosmological probes: Concordance quantified
Andrina Nicola, Adam Amara, Alexandre Refregier
Assessing the consistency of parameter constraints derived from different cosmological probes is an important way to test the validity of the underlying cosmological model. In an e…
CosmoHammer: Cosmological parameter estimation with the MCMC Hammer
Joël Akeret, Sebastian Seehars, Adam Amara +2
We study the benefits and limits of parallelised Markov chain Monte Carlo (MCMC) sampling in cosmology. MCMC methods are widely used for the estimation of cosmological parameters f…
SOAR/Goodman Spectroscopic Assessment of Candidate Counterparts of the LIGO-Virgo Event GW190814
Douglas Tucker, Matthew Wiesner, Sahar Allam +140
On 2019 August 14 at 21:10:39 UTC, the LIGO/Virgo Collaboration (LVC) detected a possible neutron star-black hole merger (NSBH), the first ever identified. An extensive search for…
Spectro-Imaging Forward Model of Red and Blue Galaxies
Martina Fagioli, Luca Tortorelli, Jörg Herbel +3
For the next generation of spectroscopic galaxy surveys, it is important to forecast their performances and to accurately interpret their large data sets. For this purpose, it is n…
Lensing substructure quantification in RXJ1131-1231: A 2 keV lower bound on dark matter thermal relic mass
Simon Birrer, Adam Amara, Alexandre Refregier
We study the substructure content of the strong gravitational lens RXJ1131-1231 through a forward modelling approach that relies on generating an extensive suite of realistic simul…
Constraints on Small-Scale Structures of Dark Matter from Flux Anomalies in Quasar Gravitational Lenses
R. Benton Metcalf, Adam Amara
We investigate the statistics of flux anomalies in gravitationally lensed QSOs as a function of dark matter halo properties such as substructure content and halo ellipticity. We do…
The BUFFALO HST Survey
Charles L. Steinhardt, Mathilde Jauzac, Ana Acebron +91
The Beyond Ultra-deep Frontier Fields and Legacy Observations (BUFFALO) is a 101 orbit + 101 parallel Cycle 25 Hubble Space Telescope Treasury program taking data from 2018-2020. B…
A simple model linking galaxy and dark matter evolution
Simon Birrer, Simon Lilly, Adam Amara +2
We construct a simple phenomenological model for the evolving galaxy population by incorporating pre-defined baryonic prescriptions into a dark matter hierarchical merger tree. Spe…
Wavelet based speckle suppression for exoplanet imaging - Application of a de-noising technique in the time domain
Markus J. Bonse, Sascha P. Quanz, Adam Amara
Context. High-contrast exoplanet imaging is a rapidly growing field as can be seen through the significant resources invested. In fact, the detection and characterization of exopla…
An Integrated System at the Bleien Observatory for Mapping the Galaxy
Chihway Chang, Christian Monstein, Joel Akeret +5
We describe the design and performance of the hardware system at the Bleien Observatory. The system is designed to deliver a map of the Galaxy for studying the foreground contamina…
Gauge-Invariant Formalism of Cosmological Weak Lensing
Jaiyul Yoo, Nastassia Grimm, Ermis Mitsou +2
We present the gauge-invariant formalism of cosmological weak lensing, accounting for all the relativistic effects due to the scalar, vector, and tensor perturbations at the linear…
An Ultra Fast Image Generator (UFig) for wide-field astronomy
Joel Bergé, Lukas Gamper, Alexandre Réfrégier +1
Simulated wide-field images are becoming an important part of observational astronomy, either to prepare for new surveys or to test measurement methods. In order to efficiently exp…
Simulations of Strong Gravitational Lensing with Substructure
Adam Amara, R. Benton Metcalf, Thomas J. Cox +1
Galactic sized gravitational lenses are simulated by combining a cosmological N-body simulation and models for the baryonic component of the galaxy. The lens caustics, critical cur…
Quantifying baryon effects on the matter power spectrum and the weak lensing shear correlation
Aurel Schneider, Romain Teyssier, Joachim Stadel +4
Feedback processes from baryons are expected to strongly affect weak-lensing observables of current and future cosmological surveys. In this paper we present a new parametrisation…
Baryonic effects on weak-lensing two-point statistics and its cosmological implications
Irshad Mohammed, Davide Martizzi, Romain Teyssier +1
We develop an extension of \textit{the Halo Model} that describes analytically the corrections to the matter power spectrum due to the physics of baryons. We extend these correctio…
Combining strong and weak lensing estimates in the Cosmos field
Felix Arjun Kuhn, Claudio Bruderer, Simon Birrer +2
We present a combined cosmic shear analysis of the modeling of line-of-sight distortions on strongly lensed extended arcs and galaxy shape measurements in the COSMOS field. We deve…
Cosmic Shear with Einstein Rings
Simon Birrer, Alexandre Refregier, Adam Amara
We explore a new technique to measure cosmic shear using Einstein rings. In Birrer et al. (2017), we showed that the detailed modelling of Einstein rings can be used to measure ext…
Deconstructing Baryon Acoustic Oscillations: A Comparison of Methods
Anais Rassat, Adam Amara, Luca Amendola +6
The Baryon Acoustic Oscillations (BAOs) or baryon wiggles which are present in the galaxy power spectrum at scales 100-150Mpc/h are powerful features with which to constrain cosmol…
Cosmological model discrimination with Deep Learning
Jorit Schmelzle, Aurelien Lucchi, Tomasz Kacprzak +4
We demonstrate the potential of Deep Learning methods for measurements of cosmological parameters from density fields, focusing on the extraction of non-Gaussian information. We co…
Model Breaking Measure for Cosmological Surveys
Adam Amara, Alexandre Refregier
Recent observations have led to the establishment of the concordance LCDM model for cosmology. A number of experiments are being planned to shed light on dark energy, dark matter,…
Gravitational Lensing Accuracy Testing 2010 (GREAT10) Challenge Handbook
Thomas Kitching, Sreekumar Balan, Gary Bernstein +32
GRavitational lEnsing Accuracy Testing 2010 (GREAT10) is a public image analysis challenge aimed at the development of algorithms to analyze astronomical images. Specifically, the…
galsbi: A Python package for the GalSBI galaxy population model
Silvan Fischbacher, Beatrice Moser, Tomasz Kacprzak +5
Large-scale structure surveys measure the shapes and positions of millions of galaxies in order to constrain the cosmological model with high precision. The resulting large data vo…
The PAU Survey: star-galaxy classification with multi narrow-band data
Laura Cabayol, Ignacio Sevilla-Noarbe, Enrique Fernández +18
Classification of stars and galaxies is a well-known astronomical problem that has been treated using different approaches, most of them relying on morphological information. In th…
The PAU survey: Estimating galaxy photometry with deep learning
Laura Cabayol, Martin Eriksen, Adam Amara +14
With the dramatic rise in high-quality galaxy data expected from Euclid and Vera C. Rubin Observatory, there will be increasing demand for fast high-precision methods for measuring…
Cloud Cosmology : Building the Web Interface for iCosmo
Thomas Kitching, Adam Amara, Anais Rassat +1
Astronomy and cosmology have embraced the internet. We routinely and successfully use the internet as a repository for sharing code, publications and information, and as a computat…
Weak lensing peak statistics in the era of large scale cosmological surveys
Janis Fluri, Tomasz Kacprzak, Raphael Sgier +2
Weak lensing peak counts are a powerful statistical tool for constraining cosmological parameters. So far, this method has been applied only to surveys with relatively small areas,…
Line-of-sight effects in strong lensing: Putting theory into practice
Simon Birrer, Cyril Welschen, Adam Amara +1
We present a simple method to accurately infer line of sight (LOS) integrated lensing effects for galaxy scale strong lens systems through image reconstruction. Our approach enable…
Cosmology from large scale galaxy clustering and galaxy-galaxy lensing with Dark Energy Survey Science Verification data
Juliana Kwan, Carles Sanchez, Joseph Clampitt +80
We present cosmological constraints from the Dark Energy Survey (DES) using a combined analysis of angular clustering of red galaxies and their cross-correlation with weak gravitat…
Probe combination in large galaxy surveys : Application of Fisher information and Shannon entropy to weak lensing
Julien Carron, Adam Amara, Simon Lilly
This paper is aimed at developing a better understanding of the structure of the information that in contained in galaxy surveys, so as to find optimal ways to combine observables…
High-contrast Imaging with Spitzer: Deep Observations of Vega, Fomalhaut, and epsilon Eridani
Markus Janson, Sascha P. Quanz, Joseph C. Carson +3
Stars with debris disks are intriguing targets for direct imaging exoplanet searches, both due to previous detections of wide planets in debris disk systems, as well as commonly ex…
Optimal Surveys for Weak Lensing Tomography
Adam Amara, Alexandre Refregier
Weak lensing surveys provide a powerful probe of dark energy through the measurement of the mass distribution of the local Universe. A number of ground-based and space-based survey…
Figures of Merit for Testing Standard Models: Application to Dark Energy Experiments in Cosmology
Adam Amara, Thomas Kitching
Given a standard model to test, an experiment can be designed to: (i) measure the standard model parameters; (ii) extend the standard model; or (iii) look for evidence of deviation…
Quenching and Galaxy Demographics
Lucia F. de la Bella, Adam Amara, Simon Birrer +2
The open-data revolution in astronomy is forcing the community to develop sophisticated analysis methods that heavily rely on realistic simulations. The phenomenology of the evolut…
The mass-sheet degeneracy and time-delay cosmography: Analysis of the strong lens RXJ1131-1231
Simon Birrer, Adam Amara, Alexandre Refregier
We present extended modeling of the strong lens system RXJ1131-1231 with archival data in two HST bands in combination with existing line-of-sight contribution and velocity dispers…
The PAU Survey: Measurement of Narrow-band galaxy properties with Approximate Bayesian Computation
Luca Tortorelli, Malgorzata Siudek, Beatrice Moser +22
Narrow-band imaging surveys allow the study of the spectral characteristics of galaxies without the need of performing their spectroscopic follow-up. In this work, we forward-model…
A halo model for cosmological neutral hydrogen: abundances and clustering
Hamsa Padmanabhan, Alexandre Refregier, Adam Amara
We extend the results of previous analyses towards constraining the abundance and clustering of post-reionization () neutral hydrogen (HI) systems using a halo model fr…
Likelihood-free Forward Modeling for Cluster Weak Lensing and Cosmology
Sut-Ieng Tam, Keiichi Umetsu, Adam Amara
Likelihood-free inference provides a rigorous approach to preform Bayesian analysis using forward simulations only. The main advantage of likelihood-free methods is its ability to…
SkyPy: A package for modelling the Universe
Adam Amara, Lucia F. de la Bella, Simon Birrer +18
SkyPy is an open-source Python package for simulating the astrophysical sky. It comprises a library of physical and empirical models across a range of observables and a command-lin…
Effects of baryons on weak lensing peak statistics
Andreas J. Weiss, Aurel Schneider, Raphael Sgier +3
Upcoming weak-lensing surveys have the potential to become leading cosmological probes provided all systematic effects are under control. Recently, the ejection of gas due to feedb…
Weak lensing forecasts for dark energy, neutrinos and initial conditions
Ivan Debono, Anais Rassat, Alexandre Refregier +2
Weak gravitational lensing provides a sensitive probe of cosmology by measuring the mass distribution and the geometry of the low redshift universe. We show how an all-sky weak len…
Integrated approach to cosmology: Combining CMB, large-scale structure and weak lensing
Andrina Nicola, Alexandre Refregier, Adam Amara
Recent observational progress has led to the establishment of the standard CDM model for cosmology. This development is based on different cosmological probes that are usually…
Probing the Cosmic Dark Ages with the Lunar Crater Radio Telescope
Ashish Goel, Saptarshi Bandyopadhyay, Joseph Lazio +17
The Cosmic Dark Ages represent the period in the early evolution of the Universe, starting immediately after the decoupling of CMB photons from matter, and ending with the formatio…
Smooth Particle Lensing
Dominique Aubert, Adam Amara, R. Benton Metcalf
We present a numerical technique to compute the gravitational lensing induced by simulated haloes. It relies on a 2D-Tree domain decomposition in the lens plane combined with a des…
Cosmological constraints from noisy convergence maps through deep learning
Janis Fluri, Tomasz Kacprzak, Aurelien Lucchi +3
Deep learning is a powerful analysis technique that has recently been proposed as a method to constrain cosmological parameters from weak lensing mass maps. Due to its ability to l…
Space-quality data from balloon-borne telescopes: the High Altitude Lensing Observatory (HALO)
Jason Rhodes, Benjamin Dobke, Jeffrey Booth +36
We present a method for attaining sub-arcsecond pointing stability during sub- orbital balloon flights, as designed for in the High Altitude Lensing Observatory (HALO) concept. The…
A new method to measure galaxy bias by combining the density and weak lensing fields
Arnau Pujol, Chihway Chang, Enrique Gaztañaga +9
We present a new method to measure the redshift-dependent galaxy bias by combining information from the galaxy density field and the weak lensing field. This method is based on Ama…
Accelerating Approximate Bayesian Computation with Quantile Regression: Application to Cosmological Redshift Distributions
Tomasz Kacprzak, Jörg Herbel, Adam Amara +1
Approximate Bayesian Computation (ABC) is a method to obtain a posterior distribution without a likelihood function, using simulations and a set of distance metrics. For that reaso…
Combined analysis of weak lensing and X-ray blind surveys
Joel Bergé, Florian Pacaud, Alexandre Réfrégier +7
We present a joint weak lensing and X-ray analysis of 4 deg from the CFHTLS and XMM-LSS surveys. Our weak lensing analysis is the first analysis of a real survey using shapelet…
Simulation-Based Cosmological Mass Calibration of XXL Galaxy Clusters using HSC Weak Lensing
Sut-Ieng Tam, Keiichi Umetsu, Adam Amara +13
We present a cosmological analysis of the X-ray-selected galaxy cluster sample from the XXL survey, employing a simulation-based inference (SBI) framework to jointly constrain cosm…
HOPE: A Python Just-In-Time compiler for astrophysical computations
Joel Akeret, Lukas Gamper, Adam Amara +1
The Python programming language is becoming increasingly popular for scientific applications due to its simplicity, versatility, and the broad range of its libraries. A drawback of…
Fast Generation of Covariance Matrices for Weak Lensing
Raphael Sgier, Alexandre Réfrégier, Adam Amara +1
Upcoming weak lensing surveys will probe large fractions of the sky with unprecedented accuracy. To infer cosmological constraints, a large ensemble of survey simulations are requi…
Impact of astrophysics on cosmology forecasts for 21 cm surveys
Hamsa Padmanabhan, Alexandre Refregier, Adam Amara
We use the results of previous work building a halo model formalism for the distribution of neutral hydrogen, along with experimental parameters of future radio facilities, to plac…
Simulating the Large-Scale Structure of HI Intensity Maps
Sebastian Seehars, Aseem Paranjape, Amadeus Witzemann +3
Intensity mapping of neutral hydrogen (HI) is a promising observational probe of cosmology and large-scale structure. We present wide field simulations of HI intensity maps based o…
UFig v1: The ultra-fast image generator
Silvan Fischbacher, Beatrice Moser, Tomasz Kacprzak +8
With the rise of simulation-based inference (SBI) methods, simulations need to be fast as well as realistic. is a public Python package that simulates astronomic…
The Sensitivity of the Redshift Distribution to Galaxy Demographics
Philipp Sudek, Lucia F. de la Bella, Adam Amara +1
Photometric redshifts are commonly used to measure the distribution of galaxies in large surveys. However, the demands of ongoing and future large-scale cosmology surveys place ver…
lenstronomy II: A gravitational lensing software ecosystem
Simon Birrer, Anowar J. Shajib, Daniel Gilman +18
lenstronomy is an Astropy-affiliated Python package for gravitational lensing simulations and analyses. lenstronomy was introduced by Birrer and Amara (2018) and is based on the li…
Gravitational lens modeling with basis sets
Simon Birrer, Adam Amara, Alexandre Refregier
We present a strong lensing modeling technique based on versatile basis sets for the lens and source planes. Our method uses high performance Monte Carlo algorithms, allows for an…
M Dwarf Exoplanet Surface Density Distribution: A Log-Normal Fit from 0.07-400 AU
Michael R. Meyer, Adam Amara, Maddalena Reggiani +1
We fit a log-normal function to the M dwarf orbital surface density distribution of gas giant planets, over the mass range 1-10 times that of Jupiter, from 0.07-400 AU. We use a Ma…
Cross-correlating 21 cm and galaxy surveys: implications for cosmology and astrophysics
Hamsa Padmanabhan, Alexandre Refregier, Adam Amara
We forecast astrophysical and cosmological parameter constraints from synergies between 21 cm intensity mapping and wide field optical galaxy surveys (both spectroscopic and photom…
Approximate Bayesian Computation for Forward Modeling in Cosmology
Joel Akeret, Alexandre Refregier, Adam Amara +2
Bayesian inference is often used in cosmology and astrophysics to derive constraints on model parameters from observations. This approach relies on the ability to compute the likel…
The PAU Survey: Background light estimation with deep learning techniques
Laura Cabayol-Garcia, Martin B. Eriksen, Ãlex Alarcón +17
In any imaging survey, measuring accurately the astronomical background light is crucial to obtain good photometry. This paper introduces BKGnet, a deep neural network to predict t…
PynPoint: a modular pipeline architecture for processing and analysis of high-contrast imaging data
Tomas Stolker, Markus J. Bonse, Sascha P. Quanz +4
The direct detection and characterization of planetary and substellar companions at small angular separations is a rapidly advancing field. Dedicated high-contrast imaging instrume…
A Way Forward for Cosmic Shear: Monte-Carlo Control Loops
Alexandre Refregier, Adam Amara
Weak lensing by large scale structure or 'cosmic shear' is a potentially powerful cosmological probe to shed new light on Dark Matter, Dark Energy and Modified Gravity. It is based…
Beam calibration of radio telescopes with drones
Chihway Chang, Christian Monstein, Alexandre Refregier +3
We present a multi-frequency far-field beam map for the 5m dish telescope at the Bleien Observatory measured using a commercially available drone. We describe the hexacopter drone…
Discovery of a Companion Candidate in the HD169142 Transition Disk and the Possibility of Multiple Planet Formation
Maddalena Reggiani, Sascha P. Quanz, Michael R. Meyer +14
We present L' and J-band high-contrast observations of HD169142, obtained with the VLT/NACO AGPM vector vortex coronagraph and the Gemini Planet Imager, respectively. A source loca…
Fast Point Spread Function Modeling with Deep Learning
Jörg Herbel, Tomasz Kacprzak, Adam Amara +2
Modeling the Point Spread Function (PSF) of wide-field surveys is vital for many astrophysical applications and cosmological probes including weak gravitational lensing. The PSF sm…
A PCA-based approach for subtracting thermal background emission in high-contrast imaging data
Silvan Hunziker, Sascha P. Quanz, Adam Amara +1
Ground-based observations at thermal infrared wavelengths suffer from large background radiation due to the sky, telescope and warm surfaces in the instrument. This significantly l…
PynPoint Code for Exoplanet Imaging
Adam Amara, Sascha P. Quanz, Joel Akeret
We announce the public release of PynPoint, a Python package that we have developed for analysing exoplanet data taken with the angular differential imaging observing technique. In…