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126 results for “Photometry”
Kepler photometry used in KOI false positive probability calculations
<p>This is the Kepler photometry that can be used to reproduce the calculations of the Morton+ (2016) KOI FPP analysis. See instructions at the koi-fpp repository for use.</p>
Sonneberg plate photometry for Boyajian's Star in two passbands
<p>Sonneberg plate photometry for Boyajian's Star in two passbands</p>
Data for PASP paper: Optimal photometry of point sources: Joint source flux and background determination on array detectors - from theory to practical implementation
<p>High-resolution figures for paper "Optimal photometry of point sources: Joint source flux and background determination on array detectors - from theory to practical implementation", accepted for publication in The Publications of the Astronomical Society of the Pacific (PASP).</p>
Datasets for Chang'E-3 photometry measurements
Open the record for dataset details and reuse information.
Data for "Spectro-photometry of Phobos simulants: II. Effects of porosity"
<p>Data underlying the paper: "Spectro-photometry of Phobos simulants: II. Effects of porosity". The dataset contains visible, near-infrared, and mid-infrared spectra of porous Phobos simulants, created using a water ice sublimation experiment. Measurements at different observation geometries are available for the porous sublimation residue of Phobos simulants, in the visible and near-infrared.</p>
Spectra and photometry for CSS161010: a luminous, fast blue optical transient with broad blueshifted hydrogen lines
<p><strong>CSS161010 spectra and photometry.</strong></p> <p><strong>Gutiérrez et al. 2024</strong></p> <p>This repository contains two zip folders with the photometry and spectra of the Fast blue optical transient, CSS161010.</p> <p><strong>G24_CSS161010_Photometry</strong> includes five tables as follows:</p> <ul> <li><strong>CSS161010_ATLASphot.dat </strong>--> ATLAS AB optical photometry.</li> <li><strong>CSS161010_DFOTphot.dat </strong>--> BV RI photometry obtained with DFOT in the Vega system.</li> <li><strong>CSS161010_Hphot.dat</strong> --> H photometry obtained from the Liverpool Telescope in the Vega system.</li> <li><strong>CSS161010_opticalphot.dat </strong>--> Optical photometry obtained with different instruments at several facilities.</li> <li><strong>CSS161010_Swiftphot.dat </strong>--> UV photometry obtained with Swift in the AB system.</li> </ul> <p><strong>G24_CSS161010_Spectra </strong>contains 12 spectra. The files' names have the following configuration:</p> <p>Target name (CSS161010) + observation date (JD) + Telescope name. </p> <p>CSS161010-2457679.64-NOT.txt<br>CSS161010-2457680.67-NOT.txt<br>CSS161010-2457681.59-NOT.txt<br>CSS161010-2457691.65-NOT.txt<br>CSS161010-2457692.66-NOT.txt<br>CSS161010-2457697.44-SALT.txt<br>CSS161010-2457697.73-Mag.txt<br>CSS161010-2457698.78-Mag.txt<br>CSS161010-2457711.88-LBT.txt<br>CSS161010-2457716.55-GTC.txt<br>CSS161010-2457729.58-GTC.txt<br>CSS161010-2457779.48-GTC.txt</p> <p>The last spectrum corresponds to the host galaxy.</p> <p>More details can be found in the paper (https://arxiv.org/abs/2408.04698).</p>
Deep Hyper Suprime-Cam Images and a Forced Photometry Catalog in W-CDF-S
<p>These are the data products associated with the Ni et al. (2018) research note: "Deep Hyper Suprime-Cam Images and a Forced Photometry Catalog in W-CDF-S", Ni Q., Timlin J., Brandt W.N., Yang G., 2018, RNAAS, in press. </p>
Dataset for: Star Photometry for DECaLS and SDSS Images Based on Convolutional Neural Networks
<p>The dataset consists of two parts, the training dataset and the comparison dataset. The training dataset and the comparison dataset are each divided into three parts, namely the simulation dataset, the SDSS dataset and the DECaLs dataset.</p> <p>The simulation dataset is simulated by PhoSim software and the original size of the simulation data is 512x512 pixels. The SDSS dataset is from DR12 and the ObjId of the target as well as other parameters are given in the csv file.The DECaLs dataset is from DR9.</p>
PEARLS: Near Infrared Photometry in the JWST North Ecliptic Pole Time Domain Field
<p>We make public visible and near-infrared images and derived catalogues obtained as part of the ground-based observations targetting the North Ecliptic Pole Time Domain Field. This is one of the prime targets of the PEARLS collaboration (Windhorst+ 2023, AJ 165, 13 (https://doi.org/10.3847/1538-3881/aca163), and was designed to identify transient objects (outer Solar System objects, variable stars, Active Galactic Nuclei, Supernovae). These data complement the already extensive coverage this field has had from space and ground-based observatories ranging from hard X-rays to radio.</p>
Sonora 2018: Cloud-free, solar C/O substellar evolution and photometry
<p>These models of the evolution and predicted photometry for non-irradiated, substellar mass objects (brown dwarfs and extrasolar giant planets) belong to the Sonora 2018 model series, to be described in Marley et al., currently in preparation for submission to Astrophysical Journal. Evolution tables provide luminosity, effective temperature, radius, gravity, and moment of inertia as a function of object mass and age. Photometry tables provide expected brightness in a selection of commonly used passbands, including those of JWST.</p> <p>This particular set of tables are for cloudless, solar C/O ratio objects at three metallicities ([M/H]=-0.5, 0.0, +0.5) (relative to Lodders (2010) abundances) with 3.25 ≤ log g(cgs) ≤ 5.5 and 200 ≤ T<sub>eff</sub>(K) ≤ 2400. "Rainout" chemical equilibrium is assumed. </p> <p>"co1.0" in filename nomenclature refers to 1.0 times the solar C/O ratio. </p> <p>The solar composition [M/H]=0.0 files are the same as in https://zenodo.org/record/1309035#.XoKM6y-ZN3k except for the addition here of moment of inertia column.</p> <p>Errata:</p> <p>README.pdf</p> <p>- units on luminosity are erg/s not erg/s/cm^2 (4/13/2020)</p> <p> </p>
Neurexin Photometry
<p>Goal-directed behaviors are essential for normal function and significantly impaired in neuropsychiatric disorders. Despite extensive associations between genetic mutations and these disorders, the molecular contributions to goal-directed dysfunction remain unclear. We examined mice with constitutive and brain region-specific mutations in Neurexin1α, a neuropsychiatric disease-associated synaptic molecule, in value-based choice paradigms. We found Neurexin1α knockouts exhibited reduced selection of beneficial outcomes and impaired avoidance of costlier options. Reinforcement modeling suggested this was driven by deficits in updating and representation of value. Disruption of Neurexin1α within telencephalic excitatory projection neurons, but not thalamic neurons, recapitulated choice abnormalities of global Neurexin1α knockouts. Furthermore, this selective forebrain excitatory knockout of Neurexin1α perturbed value-modulated neural signals within striatum, a central node in feedback-based reinforcement learning. By relating deficits in value-based decision-making to region-specific Nrxn1α disruption and changes in value-modulated neural activity, we reveal potential neural substrates for the pathophysiology of neuropsychiatric disease-associated cognitive dysfunction.</p>
Neural circuitry for maternal oxytocin release induced by infant cries - Fiber photometry data
<p>Raw fiber photometry dataset from experiments conducted for "Neural circuitry for maternal oxytocin release induced by infant cries" (Valtcheva, Issa et al. 2023). https://doi.org/10.1101/2021.03.25.436883.</p>
Neurexin Photometry
Open the record for dataset details and reuse information.
Flare Photometry in Uveitis Patients
ClinicalTrials.gov study NCT01897935. IPD Sharing: Not stated. Countries: 1. Publications: 0.
LAT 2-year Point Source Catalog Aperture Photometry Lightcurves Flares
Due to a glitch in the analysis pipeline there are apparent increases in flux around MJD 56810 for many sources. These increases are *not* real and should be disregarded. The problem is now believed to be fixed, and the most recent flux measurements are expected to be correct. At a later date the light curves will be reprocessed to remove these incorrect data points.
LAT 2-year Point Source Catalog Aperture Photometry Lightcurves
Due to a glitch in the analysis pipeline there are apparent increases in flux around MJD 56810 for many sources. These increases are *not* real and should be disregarded. The problem is now believed to be fixed, and the most recent flux measurements are expected to be correct. At a later date the light curves will be reprocessed to remove these incorrect data points.
Fig 5 photometry, in Regulation of REM Sleep by Inhibitory Neurons in the Dorsomedial Medulla
<p>Photometry recordings. Associated with Figure 5.</p>
GOODS-S MIPS 24 micron Photometry Catalog
The Great Observatories Origins Deep Survey (GOODS) aims to unite extremely deep observations from NASA's Great Observatories (Spitzer, Hubble and Chandra), ESA's Herschel and XMM-Newton, and the most powerful ground-based facilities. The aim is to survey the distant universe to the faintest flux limits across the broadest range of wavelengths. This catalog provides a list of sources for the MIPS 24 micron imaging of the GOODS-S field. It is limited to flux densities greater than 80 microJy, where the source extraction is highly complete and reliable.
AllWISE Multiepoch Photometry Table
The AllWISE program builds upon the work of the successful Wide-field Infrared Survey Explorer mission (WISE; Wright et al. 2010) by combining data from the WISE cryogenic and NEOWISE (Mainzer et al. 2011 ApJ, 731, 53) post-cryogenic survey phases to form the most comprehensive view of the full mid-infrared sky currently available. By combining the data from two complete sky coverage epochs using an advanced data processing system, AllWISE has generated new products that have enhanced photometric sensitivity and accuracy, and improved astrometric precision compared to the 2012 WISE All-Sky Data Release. Exploiting the 6 to 12 month baseline between the WISE sky coverage epochs enables AllWISE to measure source motions for the first time, and to compute improved flux variability statistics. The AllWISE Multiepoch Photometry (MEP) Database is a compendium of time-tagged fluxes measured on the individual Single-exposure image sets forced at the position of each deep source extraction that is in the AllWISE Source Catalog and Reject Table.
COMET HALLEY ARCHIVE - INFRARED PHOTOMETRY
The INFRARED PHOTOMETRY Network contains 2204 observations of Comet Halley spanning dates from 1984 Sep 14 through 1988 Apr 08.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.