Measurements of elastic and quasi-elastic scatterings of pp and -pp from ~ 20 to 40 GeV/c

We propose a systematic study of elastic and quasi-elastic scatterings of pp and {bar p}p in the forward region (|t{vert_bar} {approx}< 1.5 GeV{sup 2}) from {approx} 20 to 40 GeV/c by using the single-arm spectrometer of NAL Exp. 7 without any essential change. The physics interests in this energy region warrant a precise comparison between pp and {bar p}p as a function of s(t) for fixed t(s). Therefore it is essential to use the same experimental apparatus and analysis procedures in order to minimize possible systematic errors. The possible future experiments at Serpukhov will not be able to produce sufficient flux in the secondary {bar p} beams to answer the physics questions raised in this proposal

Very high energy proton proton interactions: exploratory survey in a bubble chamber

We propose a bubble chamber study of the general features of proton-proton interactions in the 200 to 500 GeV energy range in as much detail as measuring accuracy permits, starting with charged particle multiplicities, transverse and longitudinal momentum distributions, and detailed measurement of particle systems originating from the target proton, and extending to an exploration of the possibility of doing some four-constraint or equivalent kinematic analysis of complete events. A scanning search for any new or exotic phenomena is an important part of this proposal. We request 100,000 pictures initially in a 2 meter or 14 foot hydrogen bubble chamber, with 200 GeV or greater proton beam, {delta}p/p{le} .1%, {delta}{theta} {le} 2 mrad, and both tolerances better, if possible

Experimental Facilities Development

This research was sponsored by the National Science Foundation Grant NSF PHy 87-1440

A description of drift chambers used in a Fermilab experiment

We give a detailed description of the drift chamber system used in a charm search at Fermilab. All important aspects of design and performance are discussed.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/21645/1/0000029.pd

Neutrino interactions in the deuterium-neon 14 foot double bubble chamber

We propose to study the interactions of high energy neutrinos in the 14 foot bubble chamber. The target chamber to be filled with Deuterium and the surrounding region filled with nearly pure Neon. An exposure of one million pictures is requested, in order to map out the s and t dependences of the basic interaction in which neutrinos participate

Lineage marker synchrony in hematopoietic genealogies refutes the PU.1/GATA1 toggle switch paradigm.

Molecular regulation of cell fate decisions underlies health and disease. To identify molecules that are active or regulated during a decision, and not before or after, the decision time point is crucial. However, cell fate markers are usually delayed and the time of decision therefore unknown. Fortunately, dividing cells induce temporal correlations in their progeny, which allow for retrospective inference of the decision time point. We present a computational method to infer decision time points from correlated marker signals in genealogies and apply it to differentiating hematopoietic stem cells. We find that myeloid lineage decisions happen generations before lineage marker onsets. Inferred decision time points are in agreement with data from colony assay experiments. The levels of the myeloid transcription factor PU.1 do not change during, but long after the predicted lineage decision event, indicating that the PU.1/GATA1 toggle switch paradigm cannot explain the initiation of early myeloid lineage choice

An experimental high energy physics program: Task A

This report discusses elementary particle experiments with the CLEO detector, design of the gas microstrip detectors, and research in astrophysics. (LSP

fastER: A user-friendly tool for ultrafast and robust cell segmentation in large-scale microscopy.

Motivation: Quantitative large-scale cell microscopy is widely used in biological and medical research. Such experiments produce huge amounts of image data and thus require automated analysis. However, automated detection of cell outlines (cell segmentation) is typically challenging due to, e.g., high cell densities, cell-to-cell variability and low signal-to-noise ratios. Results: Here, we evaluate accuracy and speed of various state-of-the-art approaches for cell segmentation in light microscopy images using challenging real and synthetic image data. The results vary between datasets and show that the tested tools are either not robust enough or computationally expensive, thus limiting their application to large-scale experiments. We therefore developed fastER, a trainable tool that is orders of magnitude faster while producing state-of-the-art segmentation quality. It supports various cell types and image acquisition modalities, but is easy-to-use even for non-experts: it has no parameters and can be adapted to specific image sets by interactively labelling cells for training. As a proof of concept, we segment and count cells in over 200,000 brightfield images (1388 × 1040 pixels each) from a six day time-lapse microscopy experiment; identification of over 46,000,000 single cells requires only about two and a half hours on a desktop computer