Images

This a version of the logo for the Python Hyperspectral Analysis Tool (PyHAT). It is intended for use in info boxes on the USGS website. The spectrum in the graphic is a laser induced breakdown spectroscopy spectrum, plotted on a logarithmic y axis to emphasize weaker emission peaks.

Screenshot showing the simple data format used by the Python Hyperspectral Analysis Tool (PyHAT). Spectra are stored in rows of the table, along with their associated metadata and compositional information.

This image was taken of the Martian surface by the NASA MSL rover on sol 4158, showing an assortment of clasts.

This image is intended as a summary/promotional image for the Python Hyperspectral Analysis Tool (PyHAT) software.

This figure shows an example mineral parameter map image generated using PyHAT. The area in this Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) image is Jezero crater, the landing site of NASA's Mars Perseverance rover.

This figure shows an example spectrum plot generated using PyHAT. The black line is a laser induced breakdown spectroscopy (LIBS) spectrum of a basalt sample. The colored lines show the baseline estimated using several different algorithms. 

This figure shows the results of cross-validating a Partial Least Squares (PLS) model to predict the abundance of CaO in geologic targets using PyHAT. Cross validation is necessary to optimize the parameters of a regression algorithm to avoid overfitting.

This figure compares the results of two regression models to predict the abundance of CaO in geologic standards based on their laser induced breakdown spectroscopy (LIBS) spectra using PyHAT. The horizontal axis is the independently measured CaO abundance, the vertical axis is the abundance predicted by the models.

This figure shows an example of outlier identification using PyHAT. The input data were laser induced breakdown spectroscopy (LIBS) spectra. PyHAT was used to apply a baseline correction and normalization to the total intensity for each spectrum. Dimensionality was then reduced using principal components analysis (PCA).

This figure shows an example PCA plot generated using PyHAT. The input data were laser induced breakdown spectroscopy (LIBS) spectra. PyHAT was used to apply a baseline correction and normalization to the total intensity for each spectrum.

This figure shows an example PCA plot generated using PyHAT. The input data were laser induced breakdown spectroscopy (LIBS) spectra. PyHAT was used to apply a baseline correction and normalization to the total intensity for each spectrum.

Image shows a poorly sorted collection of clasts, taken by the NASA Mars Curiosity rover on sol 4139. 

This is the small logo for the Python Hyperspectral Analysis Tool (PyHAT). It is intended for use as a thumbnail. The spectrum in the graphic is a laser induced breakdown spectroscopy spectrum, plotted on a logarithmic y axis to emphasize weaker emission peaks.

A coloring page and information about Grover, the USGS's geologic rover that went to the moon during the Apollo missions.

A 360 degree mosaic compiled by NASA of Perseverance Rover overlooking Airey Hill, the parking spot for the rover during the solar conjunction in 2023.

Image of Ouzel Falls with a list of materials identified within it, including large, millimeter-scale regions rich in phosphate. Data from PIXL is laid over the image. Colored squares show different areas where PIXL’s X-ray beam scanned the rock’s surface.

Screenshot of the user interface of the GeoSTAC project, with symbolized polygons on a Mars map (left) and a selection panel (right).

Photo of the GeoKings team taken by mentor Trent Hare in a ballroom full of other people, which is the poster session where they won their award. GeoKings from left to right: Zack Bryant, Jackson Brittain, John Cardeccia, Andrew Usvat, and Alex Poole. 

Background: USGS Photo of Porkchop Geyer in Yellowstone. Foreground: A cartoon turkey wearing an astronaut helmet looks sheepishly at Porkchop Geyser erupting nearby. Cartoon images of common Thanksgiving side dishes are also placed around the turkey (in this case, a gravy boat and an ear of corn). 

Background: USGS/NASA Photo of Venus. Foreground: A cartoon turkey wearing an astronaut helmet while floating in space looks towards Venus. Cartoon images of common Thanksgiving side dishes are also placed around the turkey (in this case, dinner rolls and a green bean casserole).

Background: USGS/NASA Photo of the Moon

Foreground: A cartoon turkey wearing an astronaut helmet while floating in space looks towards the Moon. Cartoon images of common Thanksgiving side dishes are also placed around the turkey (in this case, creamed corn and mashed potatoes).