sddm - Code for the self-destructing dark matter search in SNO

Age	Commit message (Collapse)	Author
2018-11-26	update electron range tables	tlatorre
	This commit also adds a script to calculate the CSDA range for electrons from a table of the stopping power as a function of energy. We need this script since the NIST ESTAR website will only output the stopping power above a certain energy threshold (1 GeV for electrons). See https://physics.nist.gov/PhysRefData/Star/Text/ESTAR.html.
2018-10-18	update fit to fit for electrons and protons	tlatorre

2018-09-20	add git SHA1 hash to output file	tlatorre

2018-09-17	add get_path_length()	tlatorre
	This commit adds a function called get_path_length() which computes the path length inside and outside a sphere for a line segment between two points. This will be useful for calculating the photon absorption for paths which cross the AV and for computing the time of flight of photons from a track to a PMT.
2018-09-11	add PMT response	tlatorre
	This commit adds code to read in the PMT response from the PMTR bank from SNOMAN. This file was used for the grey disk model in SNOMAN and was created using a full 3D simulation of the PMT and concentrator. Since the PMT response in SNOMAN included the quantum efficiency of the PMT, we have to divide that out to get just the PMT response independent of the quantum efficiency. I also updated the likelihood calculation to use the pmt response. Currently the energy is being fit too high which I think will improve when we update the solid angle calculation to use the radius of the concentrator instead of the PMT.
2018-08-31	compile with -O2 to speed things up	tlatorre

2018-08-31	rotate and translate the path in path_init to speed things up	tlatorre

2018-08-28	add path to the likelihood fit	tlatorre
	This commit updates the likelihood fit to use the KL path expansion. Currently, I'm just using one coefficient for the path in both x and y.
2018-08-27	add code to expand the track of a particle using a KL expansion	tlatorre
	To fit the path of muons and electrons I use the Karhunen-Loeve expansion of a random 2D walk in the polar angle in x and y. This allows you to decompose the path into a sum over sine functions whose coefficients become random variables. The nice thing about fitting the path in this way is that you can capture most of the variation in the path using a small number of variables by only summing over the first N terms in the expansion and it is easy to calculate the probability of the coefficients since they are all uncorrelated.
2018-08-14	update fit to use nlopt for minimization	tlatorre
	The GSL library only has the Nelder Mead Simplex algorithm for doing multidimensional minimization without gradient information. The nlopt library has lots of different minimization algorithms so it's easier to switch between them to see which one works best.
2018-08-14	move everything to src directory	tlatorre