It implements a flexible framework for modeling Fraunhofer and Fresnel diffraction and point spread function formation, particularly in the context of astronomical telescopes. It uses PPXF (ascl:1210. DiskJockey is designed to work in a parallel environment where the calculations for each frequency channel can be distributed to independent processors. Enjoy live Q&A or pic answer. It is a Mathematica implementation of the transport method which encompasses scenarios with violations of slow-roll conditions and turns of the trajectory in field space. Rfpipe can run in standalone mode or be in a cluster environment. Elise jake malik and xiao each solved the same inequality in school. This code can be used for classification of transients, cosmological distance estimation, and identifying novel transients. K2mosaic stitches the postage stamp-sized pixel masks obtained by NASA's Kepler and K2 missions together into CCD-sized mosaics and movies. Binospec reduces data for the Binospec imaging spectrograph.
The platform also allows researchers to control input parameters and in some cases will offer to interactively optimize some data reduction steps, e. change the order of fit and visualize the new solution. LAPACK-based, extended-precision, Gauss-elimination- and NAG-based, and superposition codes are available, as are double-precision superposition, parallelized double-precision, double-precision Lorenz-Mie codes, and codes for the computation of the coefficients for the generalized Chebyshev shape. Persistent_Homology_LSS analyzes halo catalogs using persistent homology to constrain cosmological parameters. Instead of providing basic types, MAGRATHEA provides tools to generate base types such as scalar quantities, points, vectors, or tensors. COBS (COnstrained B-Splines), written in R, creates constrained regression smoothing splines via linear programming and sparse matrices. The frequency domain transforms are inherently faster and more accurate. Elise, Jake, Malik, and Xiao each solved the same - Gauthmath. Healvis simulates radio interferometric visibility off of HEALPix shells. It has a front-end API designed to be familiar to scikit-learn but harnesses the C++ Fast Library for Approximate Nearest Neighbors (FLANN) and the Sparse Symmetric Positive Definite (SSPD) solver Locally Optimal Block Precodition Gradient (LOBPCG) method to scale manifold learning algorithms to large data sets. In addition to standard Python packages scipy, numpy, and cython, mbb_emcee requires emcee (ascl:1303. It produces two-dimensional wavelength calibrated spectra corrected by instrument distortions. Although intended to work with TAOS-II data, APPHi can analyze any set of astronomical images and is a robust and versatile tool to performing stellar aperture and differential photometry.
Vetting contains simple, stand-alone Python tools for vetting transiting signals in NASA's Kepler, K2, and TESS data. MARZ can be run on a local server; it is also available for use on a public server. The Bisous model generates the visit map (the probability to find a filament at a given point) together with the filament orientation field; these two fields are used to extract filament spines from the data. Elise jake malik and xiao each solved the same inequality for a. The first is the mesh-box size, which splits the whole simulation box into smaller ones then analyzes them one-by-one, thereby overcoming a possible memory limitation problem that can occur when dealing with high-resolution, large-volume simulations.
The code consists of two parts: the self-consistent solution of the balance equations for all level populations and energy densities at all radial points and the computation of the emergent line profiles observed from a telescope with finite beam width and arbitrary offset. Viscm is a Python tool for visualizing and designing colormaps using colorspacious and matplotlib. TurbuStat implements a variety of turbulence-based statistics described in the astronomical literature and defines distance metrics for each statistic to quantitatively compare spectral-line data cubes, as well as column density, integrated intensity, or other moment maps. CARACal (Containerized Automated Radio Astronomy Calibration, formerly MeerKATHI) reduces radio-interferometric data. DATACUBE is a command-line package for manipulating and visualizing data cubes. A Julia wrapper is also available. Gphist performs Bayesian inference on the cosmological expansion history using Gaussian process priors.
TOASTER also provides a full-featured python toolkit for reliably interacting with the data and database, and provides scripts that, for example, list and summarize the TOAs in the data base, and generate TOA files in multiple formats. This high-performance framework uses a 3D Adaptive-Mesh Refinement and is built on top of the MAGRATHEA metalibrary (ascl:2203. 008), part of the HEASARC's HEAsoft (ascl:1408. Its object-oriented design allows new types of image components (2D surface-brightness functions) to be easily written and added to the program. 007) in a systematic manner. The SMURF (ascl:1310. Instead of using a softened point-mass potential, the software supports a modified version of the three component potential created by Hernquist (1994, ApJS 86, 389). This ubiquitous problem appears in a legion of applications, ranging from data mining to data analysis and inference. At the complex end of the spectrum the framework provides a direct connection to comprehensive atmospheric general circulation models.
AnalyticLC generates an analytic light-curve, and optionally RV and astrometry data, from a set of initial (free) orbital elements and simultaneously fits these data. Written in both R and python languages, qrpca provides functionalities similar to the prcomp (R) and sklearn (python) packages. ORIGIN performs blind detection of faint emitters in MUSE datacubes. Optionally the calculation will include the effects of cluster miscentering offsets.
HADES analyzse dust levels in simulated CMB galactic dust maps with realistic experimental noise and lensing configurations. Once the software environment is built, adding analysis steps is as easy as defining "Make" rules to allow parallelized operations, and not repeating operations that do not need to be recreated. Written in Python, TelFit is essentially a wrapper to LBLRTM (ascl:1405. 007) uvmodel task to generate simulated visibilities given observed visibilities and a model image and a simple ray-tracing routine that allows it to account for both strongly lensed systems (where multiple images of the lensed galaxy are detected) and weakly lensed systems (where only a single image of the lensed galaxy is detected). The code also simulates the clustering of the intergalactic medium along the line of sight, the proximity effect of the quasar, and the effect of the cosmic ultraviolet background. These open source libraries can be included in either C++ or Python codes. It can, for example, create fake Gaussian field images, compute power spectra P(k) of each image, shrink a mask with regard to a kernel, generate a Gaussian field, and plot various results. Topoaccel calculates topological acceleration for several of the S^3 quotient spaces considered 'regular', in that they have a Platonic solid as one of their fundamental domain shapes, and are globally homogeneous. 002), and TensorFlow Probability objects. SOPHIA implements well established phenomenological models, symmetries of hadronic interactions in a way that describes correctly the available exclusive and inclusive photohadronic cross section data obtained at fixed target and collider experiments. BiFFT uses Fourier transforms to implement the Dirac-Delta function that enforces a closed triangle of three k-vectors; this allows very fast calculations of the bispectrum. D2O acts as a layer of abstraction between algorithm code and data-distribution logic to manage cluster-distributed multi-dimensional numerical arrays; this provides usability without losing numerical performance and scalability. Celmech can isolate the contribution of particular resonances to a system's dynamical evolution, and can develop simple analytical models with the minimum number of terms required to capture a particular dynamical phenomenon. It creates a datacube in FITS format that can be processed with a data reduction package (such as GILDAS, ascl:1305.